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Virgilio C. Boado, MA Ed. M 
School Principal IV 
PEQNHS
Methods of Research
Methods of Research
Methods of Research

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Qualitative Research: Importance in Daily Life
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Here are brief explanations for the test questions: 1. Qualitative research is a form of social inquiry that focuses on understanding and interpreting how people make sense of their experiences and the world in which they live. It involves collecting and analyzing non-numerical data to understand concepts, perceptions and experiences. 2. The three basic types of research approaches are: - Scientific approach - deals with empirical data and allows control of variables. Uses quantitative methods. - Naturalistic approach - people-oriented and focuses on understanding real meanings and social relations. Uses qualitative methods. - Triangulation/mixed method - combines research designs, data collection and analysis techniques to enhance validity. The naturalistic approach is people-oriented and focuses on

qualitative researchresearch
What is Research
What is Research What is Research
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Research is defined as a systematic, methodical process of investigation leading to new discoveries. It involves collecting empirical data through observation and analysis in order to increase understanding of a topic. Research aims to be logical, analytical, and reproducible to allow others to confirm findings. It serves purposes like exploration, description, and evaluation. Research ethics require honesty, objectivity, integrity, and respect for colleagues, intellectual property, and human/animal subjects.

Lesson 2 selection of research topic
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This is lesson 2 of the course on Research Methodology conducted at the Faculty of Social Sciences and Humanities of the Rajarata University of Sri Lanka

researchresearch selection criteria
1.1. Definition, Purpose, characteristics, 
differences, kinds and classification of Research 
Qualities of Good Research 
Qualities of Good Researcher 
Hindrances of scientific Inquiry, 
Major needs and problems/demands of Research 
Values of Research to Man 
Types of Research 
Classification of Research, 
The variable 
Components of Research Process, 
1.2. Qualities of Good Research 
Instrument 
Validity, Types of validity, reliability, 
methods in testing the reliability of research instrument, 
usability 
determining factors of usability of research
2.1 
 The Research Problems, characteristics of 
a Research Problem, Sources of Research 
Problem 
 The Research Objectives, 
 Statement of the Problem/Objectives, 
 Hypothesis, Theoretical and Conceptual 
Framework, Assumptions, 
 Significance of the Study, Scope 
and Delimitation of the Study
 3.1.Importance of Related Literature and 
Studies 
 3.2, Purpose and Functions of related 
studies, 
 3.3 Characteristics, 
 3.4. Sources and Where to locate the 
sources, 
 3.5 Related Legal Bases, Related 
Literature, Related Studies( Local, Foreign) 
 3.6. Definition of Terms: Conceptual and 
Operational
 4.1.Historical Design: 
Uses of historical 
research, major steps of historical d 
esigns, sources of historical 
research 
 4.2.Descriptive Design: Meaning, 
characteristic, value, importance an 
d 
advantages, techniques, Types of Des 
criptive Research : Descriptive- 
Survey, Descriptive-normative 
survey, Descriptive-status, 
Descriptive 
analysis, Descriptive classification, 
descriptive-evaluative, descriptive-comparative, 
correlational survey, lo 
ngitudinal survey 
 4.3. Experimental Design: Meani 
ng, concepts of causation, 
distinguishing features, 
experimental designs, experimen 
tal plan, 
Types of Experimental Designs: Si 
ngle-group design, Two-group 
design, two-pair group 
design, parallel group design, co 
unterbalanced 
or latin square design, complete 
randomized 
design, randomized complete blo 
ck design, 
correlational Design, Pre-test 
and Post test 
design, case study design, Case 
work, Content Analysis

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Practical research 2
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This document provides an overview of quantitative research. It defines quantitative research as research that collects and analyzes numerical data using statistical or computational techniques. The key characteristics of quantitative research outlined include using structured instruments to collect data, analyzing data from large samples, establishing relationships between variables, and generalizing results. Both the strengths and weaknesses of quantitative research are discussed, with strengths including allowing for broader studies and objective results, and weaknesses including potentially overlooking unique cases and contextual factors. Examples of quantitative variables that can be measured are also provided.

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Conceptual Framework in Qualitative Research
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The document discusses conceptual frameworks, including what they are, how they should be structured, and their purposes. It defines a conceptual framework as a visual or narrative explanation of the key variables or concepts in a study and their relationships. It notes conceptual frameworks should identify relevant variables, define concepts, outline relationships between inputs and outputs, and help explain answers to research questions. The document provides steps for developing a conceptual framework, including identifying concepts, defining and operationalizing them, and showing relationships between variables. It includes an example conceptual framework on women's autonomy in household decision making.

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Theoretical & conceptual framework
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The document discusses theoretical and conceptual frameworks. It defines a theoretical framework as providing context and rationale for examining problems by developing hypotheses and guiding research design and interpretation. A conceptual framework outlines possible approaches to an idea. The document provides guidance on developing frameworks, including selecting concepts, identifying relationships between concepts, defining concepts, and formulating the theoretical rationale. Frameworks can be descriptive, explanatory, or predictive. The document also discusses critiquing frameworks and the contribution of nursing frameworks to research.

 5.1. Definition, 
Purpose, Terminologies, 
Principles, advantages an 
d Disadvantages of 
Sampling, 
Planning a Sample 
Survey, 
 5.2. Determination of 
Sample Size 
 5.3. Sampling Design: 
(A) Scientific Sampling: 
Restricted random 
sampling, unrestricted 
random sampling, 
stratified random 
sampling, systematic 
sampling, 
multistage sampling, 
cluster sampling 
(B) Nonscientific sampling: 
Purposive Sampling, 
Incidental sampling, 
Quota sampling
6.1. Classification of Data According t 
o 
Source, Selecting method of 
collecting Data, 
Research Instruments or 
Tools 
6.2. The Questionnaire: Definition, 
Advantages and Disadvantages, 
Construction of Questionnaire, 
Types of Questions, Guidelines in 
Formulation, Problems in 
responses, evidence of misleading 
questions, the cover letter, 
evaluating the questionnaire, 
sample questionnaires 
6.3. The Interview: Purpose 
and uses of interview, 
advantages and 
disadvantages, types of 
classes of 
interviews, interview as 
instruments, steps/ 
pointers, what 
to avoid in interview
7.1. Data Processing: Definition 
7.2. Data Matrix: Types of matrices 
(Univariate matrix, bivariate, 
multivariate) 
7.3. Dummy tables
8.1. Univariate Statistical 
Treatment, 
Bivariate Statistical Treatment, 
Multivariate Statistical 
Treatment 
8.2. Frequency Distribution and 
Graphical Representation 
8.3. Descriptive Statistics: 
Measures of 
Central Tendency, Measures of 
Variability, Normal 
Distribution of Standard, 
Measures of Relative 
Variability, 
Measures of Kurtosis, 
Measures of Skewness 
8.4. Inferential Statistics: 
Correlation, 
 Chi-square, z 
test means, t-test, 
f- test, Kruskal- 
Wallis One-way 
 Analysis of variance 
by ranks, 
 Friedman Two-way 
analysis of 
variance by ranks

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This document defines key terms related to theoretical and conceptual frameworks, including concepts, constructs, variables, conceptual framework, and theoretical framework. It explains that a conceptual framework consists of concepts and proposed relationships between concepts, while a theoretical framework is based on existing theories. The purposes of conceptual and theoretical frameworks are to clarify concepts, propose relationships between concepts, provide context for interpreting findings, and stimulate further research and theory development.

Statistical treatment and data processing copy
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After data is collected, it must be processed which includes verifying, organizing, transforming, and extracting the data for analysis. There are several steps to processing data including categorizing it based on the study objectives, coding it numerically or alphabetically, and tabulating and analyzing it using appropriate statistical tools. Statistics help remove researcher bias by interpreting data statistically rather than subjectively. Descriptive statistics are used to describe basic features of data like counts and percentages while inferential statistics are used to infer properties of a population from a sample.

summeraine@cmu.edu.phjlpaglinawan@cmu.edu.ph
Topic 1 introduction to quantitative research
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This document provides an introduction to quantitative research. It defines quantitative research as collecting and analyzing numerical data to explore, describe, explain, or predict trends. Quantitative research aims for objectivity and controls outside factors. It states hypotheses and uses statistics to analyze results. The document outlines reasons for quantitative research such as exploration, description, explanation, prediction, and evaluation. It also describes common types of quantitative research designs and the key components of measurement, sampling, research design, and statistical procedures.

9.1. Data Analysis: Types of 
Data 
 Analysis (Univariate 
Analysis, 
Bivariate Analysis, 
Multivariate 
Analysis, Normative Analys 
is, 
Status Analysis, Descriptiv 
e 
Analysis, Classification An 
alysis, 
Evaluative Analysis, Comp 
arative Analysis) 
9.2. Presentation of Data: 
 Textual 
presentation, tabular pres 
entation, 
 Graphical Presentation, 
Purpose of 
Graphing, Advantages and 
Limitations of Graphs, 
 Types of 
graphs, construction of 
Individual Graphs 
9.3. Group Derive Generaliza 
tion
 10.1. Summary of Findings 
 10.2. Conclusion and Some dangers to 
avoid in drawing up conclusions 
 10.3. Recommendations
 11.1. Writing Requirements 
 11.2. Content and Structure of Thesis Proposal: 
The Problem: Rationale and Background, Review of 
Related Literature, Methodology,Materials and methods, 
results and discussion, summary, conclusion and 
recommendations, Schedule of Activities, 
Bibliography, Curriculum Vitae 
 11.3. Form and Styles of a Research 
Paper, Thesis and Dissertations
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The course aims to introduce the basic ideas, concepts and principles of research methodology, the problem, methods of research, preparation of research instruments designed to arrive at exact analysis and interpretation of data.

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This document discusses research instruments used for data collection. It describes three common instruments: questionnaires, interviews, and observation. Questionnaires involve structured questions to elicit responses, while interviews can be structured, unstructured, or focused. Observation can involve participating or non-participating. The document provides examples of each type of instrument and discusses characteristics of good instruments, such as being valid and reliable. It also outlines steps to prepare questionnaires and types of questions used.

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This document provides an outline for developing a research proposal. It includes sections for background information, defining the research problem, formulating objectives, selecting a research topic, and identifying variables and measurements. Sample questions are given to help formulate a clear research problem. The purpose is to guide the researcher in developing the key components of an empirical study, including subjects, test organisms, study location, and phenomenon. Target beneficiaries are identified. References are also included. The overall goal is to design a scientifically sound research proposal or study.

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This document outlines the key steps in the research methodology process. It defines research as a systematic effort to gain new knowledge. The main steps include: reviewing existing literature, identifying problems, setting objectives and hypotheses, planning the methodology, executing the research, analyzing data, drawing inferences, and disseminating findings. It also discusses defining the research problem precisely, formulating objectives, conducting a literature review to learn from past studies, and concluding the research by summarizing the findings and their significance.

Note 3. Qualitative Research Vs Quantitative Research
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- The researcher analyzed survey data from 200 Muslim government officers regarding their concern for halal products. Officers were grouped by level of management: top, middle, supervisor. - A chi-square test found no significant relationship between level of management and concern for halal products. The calculated chi-square value of 0.79 was less than the critical value of 9.49, so the null hypothesis that there is no difference was accepted. - In summary, the level of management (top, middle, supervisor) did not have an effect on officers' reported concern for halal products based on this analysis of the survey data.

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 Validity 
- It means the degree to which a test or 
measuring instrument measures what it intends to 
measure. 
 Types of Validity 
Content validity – It means the extent to which the 
content or topics of the test is truly representative of 
the content of the course. 
Concurrent validity – It is the degree to which the 
test agrees or correlates with a criterion set up as an 
acceptable measure. 
Predictive validity – It is determined by showing how 
well predictions made from the test are confirmed by 
evidence gathered at some subsequent time. 
Construct validity – It is the extent to which the test 
measures a theoretical construct or trait.
 Reliability 
- It means the extent to which a research instrument is dependable, 
consistent and stable. 
 Methods in Testing the Reliability of a Good Research Instrument 
· Test-retest method – In this method, the same instrument is administered 
twice to the same group of subjects and the correlation coefficient is 
determined. 
rs = 1 – Z6D2 
N3-N 
Parallel-forms method – Parallel or equivalent forms of a test may be 
administered of the group of subjects, and the paired observations correlated 
· Split-half method – The test in this method may be administered twice, 
but the test items are divided into two values. 
rwt = Z(rt) 
1 + rnt 
· Internal-consistency method – This method is used with psychological 
test which consist of dichotomously scored items. 
Kuder-Richardson Formula 
Rxx = [N] [SD2 - Σpiqi] 
N-1 SD2

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Usability 
- It means the degree to which the research instrument be 
satisfactorily used by teachers, researchers, supervisors and school 
managers without expenditures of time, money and effect. 
Factors to Determine Usability 
1. Base of administration. To facilitate the administration of a 
research instrument, instruction should be complete and precise. 
2. Base of scoring. It depends on the following aspects: 
· Construction of a test in the objective type. 
· Answer keys are adequately prepared. 
· Scoring directions are fully understood. 
3. Ease of interpretation and application. Results of test are easy to 
interpret and apply if tables are provided. 
4. Low cost. It is more practical if the test is low cost material-wise. 
5. Proper mechanical make-up. A good research instrument should be 
printed clearly in an appropriate size for the grade or year level for 
which the instrument is intended.
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 Research problem and research objectives 
have the same characteristics but they differ 
in form because the former is stated in 
interrogative or question form and the latter, 
in declarative form.
 Hypothesis – is defined as a wise guess that is 
formulated and temporarily adopted to 
explain the observed facts covered by the 
study. 
 Types of Hypothesis 
 · Null Hypothesis – is a denial of an 
existence of a trait, characteristic, quality, 
value, correlation or difference of the result. 
 · Alternative Hypothesis – is an 
affirmation of the existence of the observed 
phenomenon.
 - shapes the justification of the 
research problem/research objectives in 
order to provide the legal basis for defining 
its parameters
 - presents specific and well-defined 
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 are presumed to be true statements of 
facts related to the research problem.
 - Is presented comprehensively to 
convince the screening committee the 
importance of the study.
 - This includes the coverage of the 
study area, the subjects, the research 
apparatus, equipment or instrument, the 
research issues and concerns, the duration of 
the study, and the constraints that have 
direct bearing on the result of the study.
 1. Conceptual Definition – The definition 
are based on concepts or hypothetic ones 
which are usually taken from a dictionary, 
encyclopedia and published journals. 
 2. Operational Definition – The definition 
of terms are based on observable 
characteristics and how it is used in the 
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 This includes the coverage of the study 
area, the subjects, the research apparatus, 
equipment or instrument, the research issues 
and concerns, the duration of the study, and 
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the result of the study.
Lesson 3
Related literature is composed of 
discussions of facts and principles to 
which the present study is related. 
The materials are usually printed and 
found in books, encyclopedias, 
professional journals, magazines, 
newspapers, and other publications.
Reviewed literature and studies help or guide the 
researcher in the following ways: 
 Help or guide the researcher in searching for or 
selecting a better research problem or topic. 
 Help the investigator understand his topic for 
research better. 
 Ensure that there will be no duplication of other 
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This document outlines the key aspects of research formulation according to Dr. Ved Nath Jha. It discusses the meaning of research, objectives of research such as gaining insights or testing hypotheses. It also covers types of research methods and methodology. The research process involves formulating the problem, conducting a literature review, developing hypotheses, designing the research, collecting and analyzing data, and reporting results. Developing good working hypotheses requires discussions with experts and preliminary investigations. An effective research design considers how information will be obtained and organized within time and cost constraints. Rigorous criteria for good research include clearly defining the purpose, describing the methodology, using objective procedures, acknowledging limitations, conducting adequate analysis, and limiting conclusions to what the data supports.

dr.ved nath jharesearch methodologyresearch formulation
 Help and guide the researcher in locating more 
sources of related information. 
 Help and guide the researcher in making his 
research design especially in 
a. The formulation of specific questions to 
be researched on; 
b. The formulation of assumptions and 
hypotheses if there should be any; 
c. The formulation of conceptual 
framework; 
d. The selection and application of the 
methods of research; 
e. The selection and application of sampling 
technique; 
f. The selection and/ or preparation and 
validation of research instruments for gathering 
data;
g. The selection and application of 
statistical procedures; 
h. The analysis, organization, 
presentation, and interpretation of data; 
i. The making of the summary of 
findings, conclusions, and recommendations; 
and 
 Help and guide the researcher in making 
comparison between his findings with the 
findings of other researchers on similar 
studies with the end in view of formulating 
generalizations or principles which are the 
contributions of the study to the fund of 
knowledge.
 The surveyed materials must be as recent as 
possible 
Exceptions: 
A. Treatises that deal on universals or 
things of more or less permanent nature may 
still be good today. 
B. When a comparison or contrast is to 
be made between the conditions of today 
and those of a remote past, say ten or 
twenty years ago.
Materials reviewed must be 
objective and unbiased. 
Materials surveyed must be relevant 
to the study. 
Surveyed materials must have been 
based upon genuinely original and 
true facts or data to make valid and 
reliable. 
Reviewed materials must not be too 
few or too many.

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This document outlines a seminar presentation on research methodology in geography given by Lakhveer Singh. It discusses key concepts like deductive and inductive reasoning, hypotheses, theory, and empiricism. It also covers the different types of research designs, including cross-sectional, longitudinal, time series, and panel designs. Finally, it outlines the typical steps in the research process, including problem definition, literature review, data collection and analysis, and drawing conclusions. The overall purpose is to introduce students to fundamental aspects of developing and conducting geographic research.

Literature reviewed typically 
includes scholarly journals, scholarly 
books, authoritative databases and 
primary sources. Sometimes it 
includes newspapers, magazines, 
other books, films, and audio and 
video tapes, and other secondary 
sources.
are the origin 
of information under study, 
fundamental documents relating to 
a particular subject or idea. Often 
they are first hand accounts written 
by a witness or researcher at the 
time of an event or discovery. 
E.g. published books, magazines, 
encyclopedias, almanacs and etc.
are 
documents or recordings that 
relate to or discuss information 
originally presented elsewhere. 
E.g. Information from the 
internet, unpublished thesis and 
dissertations
Generally, the sources of related literature and 
studies are located in the following places: 
 Libraries, either government, school, or private 
libraries. 
 Government and private offices. 
 The National Library. 
 The library of the Department of Education, 
Culture and Sports. 
The last two are especially rich depositories of 
related materials, particularly unpublished 
master’s thesis and doctoral dissertations.

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Related – means the legal bases, literature 
and studies which have direct bearing or 
relation to the present study. 
It determine the relevance of the study to 
the government’s thrusts. The major 
sources of related legal bases are laws and 
department directives such as circulars, 
orders, memoranda, and others which are 
related to the present study.
 Example: 
 Republic Act No. 7164 known as the “Philippine 
Nursing Act of 1991” defines professional nursing as 
the performance for a fee, salary, or other reward or 
compensation… toward the promotion of health, and 
alleviation of suffering through utilization of nursing 
process. (LEGAL BASIS). 
 The foregoing professional nursing definition 
explicitly expressed that nurses practice their 
profession for a fee or salary commensurate with 
their work in order to satisfy their needs and wants 
to cope with the fast changing world. In other 
words, the performance of a particular job affects 
nurses’ values especially if nurses meet the problems 
related to their job in the hospital, hence, 
promotion of health services cannot be attained. 
(EXPLANATION OF THE LEGAL BASIS)
 It is a section in a research paper, thesis 
dissertation, and research project in which 
the sources are taken from books, journals, 
magazines, novels, poetry, etc that contains 
facts, laws, theories and other documented 
observations. This is in a chronological order 
from recent to past when presented. It is 
unscientific if related literature are 
presented and of no explanation at the 
relevance to the present study.
 Example: 
 Murray’s (1998) article on nurse executives’ 
leadership roles stated that chief nursing officers 
(CNO) leave their position due to lack of power 
conflict with chief executive officer (CEO), and 
inadequate nursing personnel. [Related literature by 
Bruce P. Murray. 1998. “Nurse Executives’ 
Leadership Roles.” Journal of Nursing 
Administration. 28(6):48. (June 1998)]. 
 The article of Murray has bearing to the present study 
because staff nurses’ performance would be affected 
if the middle managers or chief nursing officers have 
conflict with the chief executive officer or top 
manager and with problems met related to their job, 
for instance, inadequate nursing personnel. 
(EXPLANATION OF THE RELATED LITERATURE)

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Published and unpublished research 
studies are sources of materials that 
are included in this section. The 
research studies which have direct 
bearing to the present study are 
segregated into foreign and local 
studies.
 Example of LOCAL STUDY: 
 In 1999, Sultan in her study on perceived sources of 
stress among staff nurses at a tertiary hospital in 
Quezon City, found out that lack of administrative 
support and no rewards were perceived by staff 
nurses as the most stressing… (Related local study by 
Vilma Sultan. 1999. “Perceived Sources of Stress 
Among Staff Nurses at Tertiary Hospital in Quezon 
City.” MA Thesis in Nursing. Central Philippine 
University, Iloilo City, Philippines.) 
 Sultan’s study has bearing to the present study 
because lack of administrative support, no rewards, 
and no opportunities for career development are 
among the job-related problems met by staff nurses 
in private and government hospitals in Iloilo City 
which block their way to perform effectively and 
efficiently. (EXPLANATION OF THE RELATED STUDY)
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given in dictionaries. It is the 
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attributed to a word or group of 
works. Moreover, it is mostly 
abstract and formal in nature.
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functional. Operational definition 
may be measured and experimental. 
The measured operational definition 
states the way the concept is 
measured in the investigation. In an 
experimental operational definition 
the researcher may spell out the 
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 Sampling – may be defined as the method of 
getting a representative portion of the 
population. 
Population –is the aggregate or total of 
objects, persons, families, species, or orders 
of plants or animals.
 UNIVERSE – the set of all entities under study 
 VARIABLE – attribute of interest observable on each entity in the 
universe 
 ELEMENT – is a member of the population. It is a unit in which data is 
collected and analyzed. 
 POPULATION – the set of all possible values of the variable. Also pertains 
to the total number of elements to be studied. 
 SAMPLE – subset of the universe or the population. It is a proportion, an 
element or part of the population which is scientifically and randomly 
drawn that actually possesses the same characteristics as the population. 
 SAMPLING – the process of selecting a sample or a representative portion of a 
population to represent the entire population. 
 PARAMETER – descriptive measure of the population ex. Mean income, mean 
age of all the families and age distribution of all the people. 
 SAMPLE SIZE – the number of subjects in the study. 
 MARGIN OF ERROR – the allowable error in percentage due to the use of 
the sample, instead of the population.
 1. It saves time, money and effort. 
2. It is more effective. 
3. It is faster, cheaper and economical. 
4. It is more accurate. 
5. It gives more comprehensive 
information.
 1. Sample data involve more care in 
preparing detailed sub classification due to 
small number of subjects. 
2. If the sampling plan is not correctly 
designed and followed, the results may be 
misleading. 
3. Sampling requires an expert to conduct 
the study in an area. If this is lacking, the 
results can be erroneous. 
4. The characteristic to be observed may 
occur rarely in a population. 
5. Complicated sampling plans are 
laborious to prepare.

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 1. State the objectives of the survey. 
2. Define the population. 
3. Select the sampling individual. 
4. Locate and select the source list of particular 
individuals to be included in the sample. 
5. Design the sampling design to be used that suits 
to the study, either scientific or nonscientific 
sampling. 
6. Determine the sample size. 
7. Select the method in estimating the reliability 
of the sample. 
8. Test the reliability of the sample in a pilot 
institution. 
9. Interpret the reliability of the sample. 
10. Choose experts to administer the research 
instruments.
 Step 1: Determine the total population (N) as 
assumed subjects of the study. 
Step 2: Get the value of V(2.58), Se(0.01), 
and p(0.50). 
Step 3: Compute the sample size using this 
formula: 
Ss = NV + [ Se2 (1-p)] 
NSe + [ V2p(1-p)] 
Sampling Designs
 Sometimes population is difficult to identify 
who makes up the entire population. 
 Sample is cheaper, faster, more accurate and 
can yield tomore comprehensive information. 
 Getting the population is too costly in terms 
of human resources and other expenses, and 
time consuming. 
 In population, there is lot of error to control 
and monitor. 
 Sometimes lists are rarely up to date.
 Keys to Good Sampling 
 Formulate the aims of the study 
 Decide what analysis is require to satisfy this 
aims 
 Decide what data are required to facilitate the 
analysis 
 Collect the data required by the study

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 Defective Sampling 
 Sampling that is too small or not a representative 
will be biased, invalid and unreliable 
 The sampling becomes very complicated if the 
population is too large or has many sections and 
subsections 
 The sample (respondents0 should have common 
characteristics in order to eradicate faulty 
conclusions 
 The sampling becomes biased and 
unrepresentative if the researcher does not 
possess the necessary skills and technical know-how 
of the sampling procedure.
 An appropriate sample size is required for 
validity 
 If the sample sizes are too small, it will not 
yield valid results 
 An appropriate sample size can produce 
accuracy of results 
 The results from small sample size will be 
questionable 
 A sample size that is too large will result in 
wasting money and time 
 Researchers
 Scientific Sampling 
1. Restricted random sampling – This type of sampling design 
involves certain restrictions to improve the validity of the 
sample. 
2. Unrestricted random sampling – This is the best random 
sampling design due to no restrictions imposed, and every 
member in the population has an equal chance of inclusion in the 
sample. 
 Lottery Technique 
 Table of Random Numbers 
 3. Stratified random sampling – This type of design divides the 
population into two or more strata. 
4. Systematic sampling – In this type of design the individuals 
of the population are arranged in a methodical manner. 
5. Multistage sampling – This design is done in several stages. 
6. Cluster sampling – In this type of design, the population is 
grouped into clusters or small units.
 Nonscientific sampling 
1. Purposive sampling – This type of 
nonscientific sampling is based on selecting the 
individuals as samples according to the purpose 
of the researcher as his controls. 
2. Incidental sampling – This type of sampling 
design is “applied to those samples which are 
taken because they are the most available.” 
3. Quota sampling – This type of design is 
popular in the field of opinion research because 
it is done by merely looking for individuals with 
the requisite characteristics. 


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Lesson 6
 are those which are 
collected for 
specific purpose 
directly from the 
field of enquiry and 
original in nature. 
 Such data are 
published by 
authorities who 
themselves are 
responsible for 
their collection. 
Example: 
Documents 
Creative 
works 
Interviews 
Man-made 
materials 
Surveys
 This is any source 
cited for its 
second-hand 
information from a 
different work. 
 It also pertains on 
the data which 
have already 
collected by other 
person who 
entitled to 
organize a data. 
Example: 
Unpublished 
thesis and 
dissertations 
Manuscript 
Books 
Journals
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Deals with descriptions. 
Data can be observed but not 
measured. It approximates or 
characterizes but does not 
measure the attributes, 
characteristics, and properties 
of a thing or phenomenon.
Deals with numbers. 
Data which can be 
measured. 
This method rely on random 
sampling and structured 
data collection instruments 
that fit diverse experiences 
into predetermined response 
categories.
Clerical Tools and 
Mechanical Tools
 used when researcher studies people 
and gathers data on the feelings, 
emotions, attitudes and judgment of 
the subjects. 
Example: 
Questionnaire 
Interview 
Experiment 
Observation

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 includes all tools that is used 
in different branch of science. 
It is more on to measure 
things. Example: 
Thermometers 
Cameras 
Microscopes 
Meter stick
is a list of prepared 
questions or a checklist. 
This is usually sent of 
distributed to respondents 
for the purpose of seeking 
their opinions, views, 
suggestions, or perceptions.
 Practical 
 Large amounts of information can be collected 
from a large number of people in a short period 
of time 
 Can be carried out by the researcher or by any 
number of people with limited affect to its 
validity and reliability 
 The results of the questionnaires can usually be 
quickly and easily quantified by either a 
researcher or through the use of a software 
package 
 Can be analysed more 'scientifically' and 
objectively than other forms of research
 Lacks validity 
 There is no way to tell how truthful a 
respondent is being 
 There is no way of telling how much thought a 
respondent has put in 
 The respondent may be forgetful or not 
thinking within the full context of the situation 
 People may read differently into each question 
and therefore reply based on their own 
interpretation of the question

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 Doing a research with a specified topic 
Talking to people with knowledge about 
the topic 
 Study the guidelines on what data should 
be gathered 
Writing the Questionnaire 
Revise the Questionnaire 
Rewrite the Questionnaire 
Pre-test the Questionnaire 
Write the Questionnaire in the final form
 Open-ended Questions – They are used in 
qualitative interviews where the respondent is 
made to explain why certain things is done. 
 Free Response Questions – They are asked in such 
a way that the respondent does not limit the scope 
of his answers or responses. 
 Multiple Choices – It is the most commonly used 
type of questioning. It is a list of a number of 
answers provided for every question.
 Scaled Response – The respondents are given 
a range of categories in which to express 
their feelings or opinions. 
 Checklist – This is a form of multiple choice 
questions from which the respondents 
chooses one or more response categories. 
 Ranking Questions – This refers to an opinion 
question where the respondent is asked to 
rank comparatively the items listed either in 
ascending or descending order. 
 Dichotomous Question – There are only two 
possible answers to the questions like the Yes 
– No type.
1. Decide on the specific information needed and 
its sources. 
2. Prepare a list of sources of the specific 
information needed. 
3. Put yourself in a place of the respondents. 
4. Understand the sequences in which these 
various subjects should appear on the 
questionnaire. 
5. Decide on the type of question to use. 
6.Write the actual question.

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7. Provide proper spaces for the answers. 
8. Consider the facts needed to understand the results 
properly. 
9. Examine the whole questionnaire. 
10. Try to time test yourself in answering the whole 
questionnaire. 
11. See if the questions are clear, interesting, and 
cordial. 
12. Reconsider the hypothesis to see if the questions 
are asked to answer the research problem. 
13. Pre-test the questionnaire. 
14. Have the final form reproduced in the quality and 
quantity needed.
1.Answers might be bias 
2.The answers might be irrelevant. 
3.Answers might be a guess. 
4.The choice of words affect responses. 
5.Some respondents give answers that 
would make them appear good to a 
researcher. 
6. Irrelevant way of the respondents 
answering the questionnaire.
 – it would be a classified as a part of a questionnaire 
where in it is normally written at the upper left 
corner of the questionnaire that entails the message 
of the researcher to the respondents 
Things that should be seen in a cover letter would be: 
 Purpose of the questionnaire 
 The study itself 
 Thing to be gathered in the questionnaire for the research 
 Reasons it should be answered 
 Due date of the questionnaire 
 Guaranteed confidentiality for the respondents 
 Expressions of thanks to the respondents
These are the following to consider in 
evaluating a questionnaire: 
 Grammar 
 Format 
 Arrangement of Questions 
 Relevant to the Study 
 Number of Questions 
 Format of the Questionnaire 
 Reliability of Questionnaire 
 Respondents

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It is one of the major techniques 
in gathering data or information. 
It is a conversation between two 
or more people where questions 
are asked by the interviewer to 
elicit facts or statements from 
the interviewee.
The researcher could gain some insights 
about the study, the variables to be use, 
in making the hypothesis and generalize 
questions and the methods to be use 
statistically. 
The researcher could add some more 
significance about the study. 
The researcher could collect some factual 
data in order to be added for the support 
of the study.
 Generating more valid and compete 
information 
 Interviewer can classify points or 
questions which are vogue to the 
interviewee 
 Seeing the sincerity in terms of answering 
the questions 
 Flexibility 
Greater complex questions can be asked
Respondents would be hard to be 
contacted 
Time consuming 
 Inaccurate in terms of getting 
numerical data 
 Inaccurate due to bias data given by 
the interviewee in favourable with 
the study 
 Difficult to make conclusion

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Structured Interview 
Semi-structured Interview 
Unstructured Interview
 Description and/or Aim of interview: 
- Normally, structured interviews are done in a face-to-face 
format or via telephone using a standard set of 
questions to obtain data that can be aggregated because 
identical questions have been asked of each participant. 
 Nature of questioning route: fixed, given order, very 
standardized 
 Type of question format/structure: 
1. Open-ended 
2. Closed-ended with ordered response choices 
3. Closed-ended with unordered response choices 
4. Partially closed-ended 
 Role of probing: Little or none, perhaps only repeating 
or clarifying instructions
 Description and/or aim of interview: “More or less open-ended 
questions are brought to the interview situation in the 
form of an interview guide” (Flick, 1998 p. 94). From the 
beginning the focus is on gaining an understanding based on 
textual information obtained. The level of depth of 
understanding that the researcher pursues is used to 
characterize this type of interview. 
 Nature of questioning route: flexible, but usually a given set 
of questions is covered, varying levels of standardization 
 Type of question format/structure: 
1. Open-ended, yet directed at obtaining particular information 
(content, topic, aspects of theory, etc.) 
2. In some cases, closed-ended style of questions are used 
 Role of probing: Get the participant to expand upon their 
answer, give more details, and add additional perspectives
 Description and/or Aim of interview: 
Normally, unstructured interviews are done in a 
face-to-face format and some would say you are 
trying to get participants to share stories. The 
researcher starts from a position of wanting to be 
sensitive to how participants construct their views 
and perspectives of things. Therefore, a goal is to 
allow the participant’s structure to dominate. 
 Nature of questioning route: ask questions to get 
people to talk about constructs/variables of 
interest to the researcher.

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Type of question format/structure: 
1. Open-ended – descriptive 
2. Reactions to a given situation 
presented by the researcher 
 Role of probing: Simply to get the 
participant of talk about a topic area, 
normally probing questions are not 
directed, but rather asked to encourage 
the participant to keep talking or to get 
back to the subject of interest.
1. Interview 
Schedule 
 It is like a 
questionnaire. 
 Used when the 
researcher knows 
all the item to be 
included in the 
interview about 
the research 
problem. 
2. Interview Guide 
 It only provides 
ideas and allows the 
interviewer to freely 
pursue relevant 
topics in depth. 
 The items provide 
for flexibility in the 
manner, order, and 
language of 
questioning.
1.Set the feeling tone for the interview 
2.Set up Equipment 
3.Prepare the Person 
4.Start the Tape Recorders 
5.Let the Interviewee Talk 
6.Get Consent 
7. Word/Name list
 Being unprepared 
 Dress in a wrong manner 
 Don’t argue with the interviewee’s answer in the 
questions 
 Don’t talk irrelevant manners 
 Don’t unduly pressing the respondent to make a 
reply 
 Don’t appear too high above the respondent in 
education, knowledge and social status. 
 Don’t talk about irrelevant matters

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Lesson 7
 Data processing involves: 
 Input – it involves the responses from the 
research instrument by the subjects of the 
study. 
 Throughput – it includes statistical 
procedures and techniques. 
 Output – the results of the study which are 
presented in data matrix form.
 Data processing 
It consists of three basic steps: 
1. Categorization of data 
 It refers to the grouping of subjects under 
study according to the objectives or purposes 
of the study.
 Five rules in categorizing research 
information by Kerlinger: 
1. Categories are set up according to the 
research problem. 
2. The categories are exhaustive. 
3. Each category is derived from one 
classification principle. 
4. The categories are mutually exclusive 
and independent. 
5. Any categorization scheme must be one 
level of discourse.

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2. Coding of data – Information from the 
questionnaire, tests, interview schedules, 
rating scale and many others must be 
transformed into coded items to facilitate 
tabulation of data. 
3. Tabulation of data – this is done by tallying 
and counting the raw data to arrive at a 
frequency distribution and to facilitate in 
organizing them in a systematic order in a 
table or several tables.
Data matrix 
- Presentation of data in tabular form 
3 Types of Data Matrices 
 Univariate matrix – involves only one 
variable. 
 Bivariate matrix – involves two variables. 
 Multivariate matrix – has three or more 
variables in the table.
 Dummy tables 
- Are helpful in preparing for the data 
matrix because they are used in planning, 
summarizing, organizing and analyzing the 
data on how the different variables differ 
with each other.
Lesson 8

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 It is a must that researchers diagnose the 
problem by using the appropriate statistical 
tool to arrive at accurate and definite 
interpretation of results. 
 Incorrect Statistical Tool 
- Percentage is incorrect or 
inappropriate statistical tool to scale options 
due to vague interpretation of results.
 Univariate analysis 
 the examination of the distribution of cases on 
only one variable at a time (e.g., college 
graduation) 
 Bivariate analysis 
 the examination of two variables 
simultaneously (e.g., the relation between 
gender and college graduation) 
 Multivariate analysis 
 the examination of more than two variables 
simultaneously (e.g., the relationship between 
gender, race, and college graduation)
Univariate analysis 
 Purpose: description 
 Bivariate analysis 
 Purpose: determining the empirical 
relationship between the two variables 
Multivariate analysis 
 Purpose: determining the empirical 
relationship among the variables
 Univariate Statistical Treatment 
- The appropriate statistical tool for univariate 
problem is the weighted arithmetic mean and the 
like. 
 Bivariate Statistical Treatment in Experimental 
Research 
- The statistical tools for bivariate problem in 
experimental research are t-test and linear 
correlation. 
 Bivariate Statistical Treatment in Descriptive 
Research 
- The statistical tool used in bivariate 
descriptive research problems are z-test and linear 
correlation.

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 is a grouping of all observations into interval 
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Methods of Research

  • 1. Virgilio C. Boado, MA Ed. M School Principal IV PEQNHS
  • 5. 1.1. Definition, Purpose, characteristics, differences, kinds and classification of Research Qualities of Good Research Qualities of Good Researcher Hindrances of scientific Inquiry, Major needs and problems/demands of Research Values of Research to Man Types of Research Classification of Research, The variable Components of Research Process, 1.2. Qualities of Good Research Instrument Validity, Types of validity, reliability, methods in testing the reliability of research instrument, usability determining factors of usability of research
  • 6. 2.1  The Research Problems, characteristics of a Research Problem, Sources of Research Problem  The Research Objectives,  Statement of the Problem/Objectives,  Hypothesis, Theoretical and Conceptual Framework, Assumptions,  Significance of the Study, Scope and Delimitation of the Study
  • 7.  3.1.Importance of Related Literature and Studies  3.2, Purpose and Functions of related studies,  3.3 Characteristics,  3.4. Sources and Where to locate the sources,  3.5 Related Legal Bases, Related Literature, Related Studies( Local, Foreign)  3.6. Definition of Terms: Conceptual and Operational
  • 8.  4.1.Historical Design: Uses of historical research, major steps of historical d esigns, sources of historical research  4.2.Descriptive Design: Meaning, characteristic, value, importance an d advantages, techniques, Types of Des criptive Research : Descriptive- Survey, Descriptive-normative survey, Descriptive-status, Descriptive analysis, Descriptive classification, descriptive-evaluative, descriptive-comparative, correlational survey, lo ngitudinal survey  4.3. Experimental Design: Meani ng, concepts of causation, distinguishing features, experimental designs, experimen tal plan, Types of Experimental Designs: Si ngle-group design, Two-group design, two-pair group design, parallel group design, co unterbalanced or latin square design, complete randomized design, randomized complete blo ck design, correlational Design, Pre-test and Post test design, case study design, Case work, Content Analysis
  • 9.  5.1. Definition, Purpose, Terminologies, Principles, advantages an d Disadvantages of Sampling, Planning a Sample Survey,  5.2. Determination of Sample Size  5.3. Sampling Design: (A) Scientific Sampling: Restricted random sampling, unrestricted random sampling, stratified random sampling, systematic sampling, multistage sampling, cluster sampling (B) Nonscientific sampling: Purposive Sampling, Incidental sampling, Quota sampling
  • 10. 6.1. Classification of Data According t o Source, Selecting method of collecting Data, Research Instruments or Tools 6.2. The Questionnaire: Definition, Advantages and Disadvantages, Construction of Questionnaire, Types of Questions, Guidelines in Formulation, Problems in responses, evidence of misleading questions, the cover letter, evaluating the questionnaire, sample questionnaires 6.3. The Interview: Purpose and uses of interview, advantages and disadvantages, types of classes of interviews, interview as instruments, steps/ pointers, what to avoid in interview
  • 11. 7.1. Data Processing: Definition 7.2. Data Matrix: Types of matrices (Univariate matrix, bivariate, multivariate) 7.3. Dummy tables
  • 12. 8.1. Univariate Statistical Treatment, Bivariate Statistical Treatment, Multivariate Statistical Treatment 8.2. Frequency Distribution and Graphical Representation 8.3. Descriptive Statistics: Measures of Central Tendency, Measures of Variability, Normal Distribution of Standard, Measures of Relative Variability, Measures of Kurtosis, Measures of Skewness 8.4. Inferential Statistics: Correlation,  Chi-square, z test means, t-test, f- test, Kruskal- Wallis One-way  Analysis of variance by ranks,  Friedman Two-way analysis of variance by ranks
  • 13. 9.1. Data Analysis: Types of Data  Analysis (Univariate Analysis, Bivariate Analysis, Multivariate Analysis, Normative Analys is, Status Analysis, Descriptiv e Analysis, Classification An alysis, Evaluative Analysis, Comp arative Analysis) 9.2. Presentation of Data:  Textual presentation, tabular pres entation,  Graphical Presentation, Purpose of Graphing, Advantages and Limitations of Graphs,  Types of graphs, construction of Individual Graphs 9.3. Group Derive Generaliza tion
  • 14.  10.1. Summary of Findings  10.2. Conclusion and Some dangers to avoid in drawing up conclusions  10.3. Recommendations
  • 15.  11.1. Writing Requirements  11.2. Content and Structure of Thesis Proposal: The Problem: Rationale and Background, Review of Related Literature, Methodology,Materials and methods, results and discussion, summary, conclusion and recommendations, Schedule of Activities, Bibliography, Curriculum Vitae  11.3. Form and Styles of a Research Paper, Thesis and Dissertations
  • 27.  Validity - It means the degree to which a test or measuring instrument measures what it intends to measure.  Types of Validity Content validity – It means the extent to which the content or topics of the test is truly representative of the content of the course. Concurrent validity – It is the degree to which the test agrees or correlates with a criterion set up as an acceptable measure. Predictive validity – It is determined by showing how well predictions made from the test are confirmed by evidence gathered at some subsequent time. Construct validity – It is the extent to which the test measures a theoretical construct or trait.
  • 28.  Reliability - It means the extent to which a research instrument is dependable, consistent and stable.  Methods in Testing the Reliability of a Good Research Instrument · Test-retest method – In this method, the same instrument is administered twice to the same group of subjects and the correlation coefficient is determined. rs = 1 – Z6D2 N3-N Parallel-forms method – Parallel or equivalent forms of a test may be administered of the group of subjects, and the paired observations correlated · Split-half method – The test in this method may be administered twice, but the test items are divided into two values. rwt = Z(rt) 1 + rnt · Internal-consistency method – This method is used with psychological test which consist of dichotomously scored items. Kuder-Richardson Formula Rxx = [N] [SD2 - Σpiqi] N-1 SD2
  • 29. Usability - It means the degree to which the research instrument be satisfactorily used by teachers, researchers, supervisors and school managers without expenditures of time, money and effect. Factors to Determine Usability 1. Base of administration. To facilitate the administration of a research instrument, instruction should be complete and precise. 2. Base of scoring. It depends on the following aspects: · Construction of a test in the objective type. · Answer keys are adequately prepared. · Scoring directions are fully understood. 3. Ease of interpretation and application. Results of test are easy to interpret and apply if tables are provided. 4. Low cost. It is more practical if the test is low cost material-wise. 5. Proper mechanical make-up. A good research instrument should be printed clearly in an appropriate size for the grade or year level for which the instrument is intended.
  • 41.  Research problem and research objectives have the same characteristics but they differ in form because the former is stated in interrogative or question form and the latter, in declarative form.
  • 42.  Hypothesis – is defined as a wise guess that is formulated and temporarily adopted to explain the observed facts covered by the study.  Types of Hypothesis  · Null Hypothesis – is a denial of an existence of a trait, characteristic, quality, value, correlation or difference of the result.  · Alternative Hypothesis – is an affirmation of the existence of the observed phenomenon.
  • 43.  - shapes the justification of the research problem/research objectives in order to provide the legal basis for defining its parameters
  • 44.  - presents specific and well-defined concepts which are called constructs.
  • 45.  are presumed to be true statements of facts related to the research problem.
  • 46.  - Is presented comprehensively to convince the screening committee the importance of the study.
  • 47.  - This includes the coverage of the study area, the subjects, the research apparatus, equipment or instrument, the research issues and concerns, the duration of the study, and the constraints that have direct bearing on the result of the study.
  • 48.  1. Conceptual Definition – The definition are based on concepts or hypothetic ones which are usually taken from a dictionary, encyclopedia and published journals.  2. Operational Definition – The definition of terms are based on observable characteristics and how it is used in the study.
  • 49.  This includes the coverage of the study area, the subjects, the research apparatus, equipment or instrument, the research issues and concerns, the duration of the study, and the constraints that have direct bearing on the result of the study.
  • 51. Related literature is composed of discussions of facts and principles to which the present study is related. The materials are usually printed and found in books, encyclopedias, professional journals, magazines, newspapers, and other publications.
  • 52. Reviewed literature and studies help or guide the researcher in the following ways:  Help or guide the researcher in searching for or selecting a better research problem or topic.  Help the investigator understand his topic for research better.  Ensure that there will be no duplication of other studies.
  • 53.  Help and guide the researcher in locating more sources of related information.  Help and guide the researcher in making his research design especially in a. The formulation of specific questions to be researched on; b. The formulation of assumptions and hypotheses if there should be any; c. The formulation of conceptual framework; d. The selection and application of the methods of research; e. The selection and application of sampling technique; f. The selection and/ or preparation and validation of research instruments for gathering data;
  • 54. g. The selection and application of statistical procedures; h. The analysis, organization, presentation, and interpretation of data; i. The making of the summary of findings, conclusions, and recommendations; and  Help and guide the researcher in making comparison between his findings with the findings of other researchers on similar studies with the end in view of formulating generalizations or principles which are the contributions of the study to the fund of knowledge.
  • 55.  The surveyed materials must be as recent as possible Exceptions: A. Treatises that deal on universals or things of more or less permanent nature may still be good today. B. When a comparison or contrast is to be made between the conditions of today and those of a remote past, say ten or twenty years ago.
  • 56. Materials reviewed must be objective and unbiased. Materials surveyed must be relevant to the study. Surveyed materials must have been based upon genuinely original and true facts or data to make valid and reliable. Reviewed materials must not be too few or too many.
  • 57. Literature reviewed typically includes scholarly journals, scholarly books, authoritative databases and primary sources. Sometimes it includes newspapers, magazines, other books, films, and audio and video tapes, and other secondary sources.
  • 58. are the origin of information under study, fundamental documents relating to a particular subject or idea. Often they are first hand accounts written by a witness or researcher at the time of an event or discovery. E.g. published books, magazines, encyclopedias, almanacs and etc.
  • 59. are documents or recordings that relate to or discuss information originally presented elsewhere. E.g. Information from the internet, unpublished thesis and dissertations
  • 60. Generally, the sources of related literature and studies are located in the following places:  Libraries, either government, school, or private libraries.  Government and private offices.  The National Library.  The library of the Department of Education, Culture and Sports. The last two are especially rich depositories of related materials, particularly unpublished master’s thesis and doctoral dissertations.
  • 61. Related – means the legal bases, literature and studies which have direct bearing or relation to the present study. It determine the relevance of the study to the government’s thrusts. The major sources of related legal bases are laws and department directives such as circulars, orders, memoranda, and others which are related to the present study.
  • 62.  Example:  Republic Act No. 7164 known as the “Philippine Nursing Act of 1991” defines professional nursing as the performance for a fee, salary, or other reward or compensation… toward the promotion of health, and alleviation of suffering through utilization of nursing process. (LEGAL BASIS).  The foregoing professional nursing definition explicitly expressed that nurses practice their profession for a fee or salary commensurate with their work in order to satisfy their needs and wants to cope with the fast changing world. In other words, the performance of a particular job affects nurses’ values especially if nurses meet the problems related to their job in the hospital, hence, promotion of health services cannot be attained. (EXPLANATION OF THE LEGAL BASIS)
  • 63.  It is a section in a research paper, thesis dissertation, and research project in which the sources are taken from books, journals, magazines, novels, poetry, etc that contains facts, laws, theories and other documented observations. This is in a chronological order from recent to past when presented. It is unscientific if related literature are presented and of no explanation at the relevance to the present study.
  • 64.  Example:  Murray’s (1998) article on nurse executives’ leadership roles stated that chief nursing officers (CNO) leave their position due to lack of power conflict with chief executive officer (CEO), and inadequate nursing personnel. [Related literature by Bruce P. Murray. 1998. “Nurse Executives’ Leadership Roles.” Journal of Nursing Administration. 28(6):48. (June 1998)].  The article of Murray has bearing to the present study because staff nurses’ performance would be affected if the middle managers or chief nursing officers have conflict with the chief executive officer or top manager and with problems met related to their job, for instance, inadequate nursing personnel. (EXPLANATION OF THE RELATED LITERATURE)
  • 65. Published and unpublished research studies are sources of materials that are included in this section. The research studies which have direct bearing to the present study are segregated into foreign and local studies.
  • 66.  Example of LOCAL STUDY:  In 1999, Sultan in her study on perceived sources of stress among staff nurses at a tertiary hospital in Quezon City, found out that lack of administrative support and no rewards were perceived by staff nurses as the most stressing… (Related local study by Vilma Sultan. 1999. “Perceived Sources of Stress Among Staff Nurses at Tertiary Hospital in Quezon City.” MA Thesis in Nursing. Central Philippine University, Iloilo City, Philippines.)  Sultan’s study has bearing to the present study because lack of administrative support, no rewards, and no opportunities for career development are among the job-related problems met by staff nurses in private and government hospitals in Iloilo City which block their way to perform effectively and efficiently. (EXPLANATION OF THE RELATED STUDY)
  • 67. Conceptual – also known as constitutive, is that which is given in dictionaries. It is the academic or universal meaning attributed to a word or group of works. Moreover, it is mostly abstract and formal in nature.
  • 68. Operational – also known as functional. Operational definition may be measured and experimental. The measured operational definition states the way the concept is measured in the investigation. In an experimental operational definition the researcher may spell out the details of the manipulation of a variable.
  • 121.  Sampling – may be defined as the method of getting a representative portion of the population. Population –is the aggregate or total of objects, persons, families, species, or orders of plants or animals.
  • 122.  UNIVERSE – the set of all entities under study  VARIABLE – attribute of interest observable on each entity in the universe  ELEMENT – is a member of the population. It is a unit in which data is collected and analyzed.  POPULATION – the set of all possible values of the variable. Also pertains to the total number of elements to be studied.  SAMPLE – subset of the universe or the population. It is a proportion, an element or part of the population which is scientifically and randomly drawn that actually possesses the same characteristics as the population.  SAMPLING – the process of selecting a sample or a representative portion of a population to represent the entire population.  PARAMETER – descriptive measure of the population ex. Mean income, mean age of all the families and age distribution of all the people.  SAMPLE SIZE – the number of subjects in the study.  MARGIN OF ERROR – the allowable error in percentage due to the use of the sample, instead of the population.
  • 123.  1. It saves time, money and effort. 2. It is more effective. 3. It is faster, cheaper and economical. 4. It is more accurate. 5. It gives more comprehensive information.
  • 124.  1. Sample data involve more care in preparing detailed sub classification due to small number of subjects. 2. If the sampling plan is not correctly designed and followed, the results may be misleading. 3. Sampling requires an expert to conduct the study in an area. If this is lacking, the results can be erroneous. 4. The characteristic to be observed may occur rarely in a population. 5. Complicated sampling plans are laborious to prepare.
  • 125.  1. State the objectives of the survey. 2. Define the population. 3. Select the sampling individual. 4. Locate and select the source list of particular individuals to be included in the sample. 5. Design the sampling design to be used that suits to the study, either scientific or nonscientific sampling. 6. Determine the sample size. 7. Select the method in estimating the reliability of the sample. 8. Test the reliability of the sample in a pilot institution. 9. Interpret the reliability of the sample. 10. Choose experts to administer the research instruments.
  • 126.  Step 1: Determine the total population (N) as assumed subjects of the study. Step 2: Get the value of V(2.58), Se(0.01), and p(0.50). Step 3: Compute the sample size using this formula: Ss = NV + [ Se2 (1-p)] NSe + [ V2p(1-p)] Sampling Designs
  • 127.  Sometimes population is difficult to identify who makes up the entire population.  Sample is cheaper, faster, more accurate and can yield tomore comprehensive information.  Getting the population is too costly in terms of human resources and other expenses, and time consuming.  In population, there is lot of error to control and monitor.  Sometimes lists are rarely up to date.
  • 128.  Keys to Good Sampling  Formulate the aims of the study  Decide what analysis is require to satisfy this aims  Decide what data are required to facilitate the analysis  Collect the data required by the study
  • 129.  Defective Sampling  Sampling that is too small or not a representative will be biased, invalid and unreliable  The sampling becomes very complicated if the population is too large or has many sections and subsections  The sample (respondents0 should have common characteristics in order to eradicate faulty conclusions  The sampling becomes biased and unrepresentative if the researcher does not possess the necessary skills and technical know-how of the sampling procedure.
  • 130.  An appropriate sample size is required for validity  If the sample sizes are too small, it will not yield valid results  An appropriate sample size can produce accuracy of results  The results from small sample size will be questionable  A sample size that is too large will result in wasting money and time  Researchers
  • 131.  Scientific Sampling 1. Restricted random sampling – This type of sampling design involves certain restrictions to improve the validity of the sample. 2. Unrestricted random sampling – This is the best random sampling design due to no restrictions imposed, and every member in the population has an equal chance of inclusion in the sample.  Lottery Technique  Table of Random Numbers  3. Stratified random sampling – This type of design divides the population into two or more strata. 4. Systematic sampling – In this type of design the individuals of the population are arranged in a methodical manner. 5. Multistage sampling – This design is done in several stages. 6. Cluster sampling – In this type of design, the population is grouped into clusters or small units.
  • 132.  Nonscientific sampling 1. Purposive sampling – This type of nonscientific sampling is based on selecting the individuals as samples according to the purpose of the researcher as his controls. 2. Incidental sampling – This type of sampling design is “applied to those samples which are taken because they are the most available.” 3. Quota sampling – This type of design is popular in the field of opinion research because it is done by merely looking for individuals with the requisite characteristics. 
  • 134.  are those which are collected for specific purpose directly from the field of enquiry and original in nature.  Such data are published by authorities who themselves are responsible for their collection. Example: Documents Creative works Interviews Man-made materials Surveys
  • 135.  This is any source cited for its second-hand information from a different work.  It also pertains on the data which have already collected by other person who entitled to organize a data. Example: Unpublished thesis and dissertations Manuscript Books Journals
  • 137. Deals with descriptions. Data can be observed but not measured. It approximates or characterizes but does not measure the attributes, characteristics, and properties of a thing or phenomenon.
  • 138. Deals with numbers. Data which can be measured. This method rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories.
  • 139. Clerical Tools and Mechanical Tools
  • 140.  used when researcher studies people and gathers data on the feelings, emotions, attitudes and judgment of the subjects. Example: Questionnaire Interview Experiment Observation
  • 141.  includes all tools that is used in different branch of science. It is more on to measure things. Example: Thermometers Cameras Microscopes Meter stick
  • 142. is a list of prepared questions or a checklist. This is usually sent of distributed to respondents for the purpose of seeking their opinions, views, suggestions, or perceptions.
  • 143.  Practical  Large amounts of information can be collected from a large number of people in a short period of time  Can be carried out by the researcher or by any number of people with limited affect to its validity and reliability  The results of the questionnaires can usually be quickly and easily quantified by either a researcher or through the use of a software package  Can be analysed more 'scientifically' and objectively than other forms of research
  • 144.  Lacks validity  There is no way to tell how truthful a respondent is being  There is no way of telling how much thought a respondent has put in  The respondent may be forgetful or not thinking within the full context of the situation  People may read differently into each question and therefore reply based on their own interpretation of the question
  • 145.  Doing a research with a specified topic Talking to people with knowledge about the topic  Study the guidelines on what data should be gathered Writing the Questionnaire Revise the Questionnaire Rewrite the Questionnaire Pre-test the Questionnaire Write the Questionnaire in the final form
  • 146.  Open-ended Questions – They are used in qualitative interviews where the respondent is made to explain why certain things is done.  Free Response Questions – They are asked in such a way that the respondent does not limit the scope of his answers or responses.  Multiple Choices – It is the most commonly used type of questioning. It is a list of a number of answers provided for every question.
  • 147.  Scaled Response – The respondents are given a range of categories in which to express their feelings or opinions.  Checklist – This is a form of multiple choice questions from which the respondents chooses one or more response categories.  Ranking Questions – This refers to an opinion question where the respondent is asked to rank comparatively the items listed either in ascending or descending order.  Dichotomous Question – There are only two possible answers to the questions like the Yes – No type.
  • 148. 1. Decide on the specific information needed and its sources. 2. Prepare a list of sources of the specific information needed. 3. Put yourself in a place of the respondents. 4. Understand the sequences in which these various subjects should appear on the questionnaire. 5. Decide on the type of question to use. 6.Write the actual question.
  • 149. 7. Provide proper spaces for the answers. 8. Consider the facts needed to understand the results properly. 9. Examine the whole questionnaire. 10. Try to time test yourself in answering the whole questionnaire. 11. See if the questions are clear, interesting, and cordial. 12. Reconsider the hypothesis to see if the questions are asked to answer the research problem. 13. Pre-test the questionnaire. 14. Have the final form reproduced in the quality and quantity needed.
  • 150. 1.Answers might be bias 2.The answers might be irrelevant. 3.Answers might be a guess. 4.The choice of words affect responses. 5.Some respondents give answers that would make them appear good to a researcher. 6. Irrelevant way of the respondents answering the questionnaire.
  • 151.  – it would be a classified as a part of a questionnaire where in it is normally written at the upper left corner of the questionnaire that entails the message of the researcher to the respondents Things that should be seen in a cover letter would be:  Purpose of the questionnaire  The study itself  Thing to be gathered in the questionnaire for the research  Reasons it should be answered  Due date of the questionnaire  Guaranteed confidentiality for the respondents  Expressions of thanks to the respondents
  • 152. These are the following to consider in evaluating a questionnaire:  Grammar  Format  Arrangement of Questions  Relevant to the Study  Number of Questions  Format of the Questionnaire  Reliability of Questionnaire  Respondents
  • 153. It is one of the major techniques in gathering data or information. It is a conversation between two or more people where questions are asked by the interviewer to elicit facts or statements from the interviewee.
  • 154. The researcher could gain some insights about the study, the variables to be use, in making the hypothesis and generalize questions and the methods to be use statistically. The researcher could add some more significance about the study. The researcher could collect some factual data in order to be added for the support of the study.
  • 155.  Generating more valid and compete information  Interviewer can classify points or questions which are vogue to the interviewee  Seeing the sincerity in terms of answering the questions  Flexibility Greater complex questions can be asked
  • 156. Respondents would be hard to be contacted Time consuming  Inaccurate in terms of getting numerical data  Inaccurate due to bias data given by the interviewee in favourable with the study  Difficult to make conclusion
  • 157. Structured Interview Semi-structured Interview Unstructured Interview
  • 158.  Description and/or Aim of interview: - Normally, structured interviews are done in a face-to-face format or via telephone using a standard set of questions to obtain data that can be aggregated because identical questions have been asked of each participant.  Nature of questioning route: fixed, given order, very standardized  Type of question format/structure: 1. Open-ended 2. Closed-ended with ordered response choices 3. Closed-ended with unordered response choices 4. Partially closed-ended  Role of probing: Little or none, perhaps only repeating or clarifying instructions
  • 159.  Description and/or aim of interview: “More or less open-ended questions are brought to the interview situation in the form of an interview guide” (Flick, 1998 p. 94). From the beginning the focus is on gaining an understanding based on textual information obtained. The level of depth of understanding that the researcher pursues is used to characterize this type of interview.  Nature of questioning route: flexible, but usually a given set of questions is covered, varying levels of standardization  Type of question format/structure: 1. Open-ended, yet directed at obtaining particular information (content, topic, aspects of theory, etc.) 2. In some cases, closed-ended style of questions are used  Role of probing: Get the participant to expand upon their answer, give more details, and add additional perspectives
  • 160.  Description and/or Aim of interview: Normally, unstructured interviews are done in a face-to-face format and some would say you are trying to get participants to share stories. The researcher starts from a position of wanting to be sensitive to how participants construct their views and perspectives of things. Therefore, a goal is to allow the participant’s structure to dominate.  Nature of questioning route: ask questions to get people to talk about constructs/variables of interest to the researcher.
  • 161. Type of question format/structure: 1. Open-ended – descriptive 2. Reactions to a given situation presented by the researcher  Role of probing: Simply to get the participant of talk about a topic area, normally probing questions are not directed, but rather asked to encourage the participant to keep talking or to get back to the subject of interest.
  • 162. 1. Interview Schedule  It is like a questionnaire.  Used when the researcher knows all the item to be included in the interview about the research problem. 2. Interview Guide  It only provides ideas and allows the interviewer to freely pursue relevant topics in depth.  The items provide for flexibility in the manner, order, and language of questioning.
  • 163. 1.Set the feeling tone for the interview 2.Set up Equipment 3.Prepare the Person 4.Start the Tape Recorders 5.Let the Interviewee Talk 6.Get Consent 7. Word/Name list
  • 164.  Being unprepared  Dress in a wrong manner  Don’t argue with the interviewee’s answer in the questions  Don’t talk irrelevant manners  Don’t unduly pressing the respondent to make a reply  Don’t appear too high above the respondent in education, knowledge and social status.  Don’t talk about irrelevant matters
  • 166.  Data processing involves:  Input – it involves the responses from the research instrument by the subjects of the study.  Throughput – it includes statistical procedures and techniques.  Output – the results of the study which are presented in data matrix form.
  • 167.  Data processing It consists of three basic steps: 1. Categorization of data  It refers to the grouping of subjects under study according to the objectives or purposes of the study.
  • 168.  Five rules in categorizing research information by Kerlinger: 1. Categories are set up according to the research problem. 2. The categories are exhaustive. 3. Each category is derived from one classification principle. 4. The categories are mutually exclusive and independent. 5. Any categorization scheme must be one level of discourse.
  • 169. 2. Coding of data – Information from the questionnaire, tests, interview schedules, rating scale and many others must be transformed into coded items to facilitate tabulation of data. 3. Tabulation of data – this is done by tallying and counting the raw data to arrive at a frequency distribution and to facilitate in organizing them in a systematic order in a table or several tables.
  • 170. Data matrix - Presentation of data in tabular form 3 Types of Data Matrices  Univariate matrix – involves only one variable.  Bivariate matrix – involves two variables.  Multivariate matrix – has three or more variables in the table.
  • 171.  Dummy tables - Are helpful in preparing for the data matrix because they are used in planning, summarizing, organizing and analyzing the data on how the different variables differ with each other.
  • 173.  It is a must that researchers diagnose the problem by using the appropriate statistical tool to arrive at accurate and definite interpretation of results.  Incorrect Statistical Tool - Percentage is incorrect or inappropriate statistical tool to scale options due to vague interpretation of results.
  • 174.  Univariate analysis  the examination of the distribution of cases on only one variable at a time (e.g., college graduation)  Bivariate analysis  the examination of two variables simultaneously (e.g., the relation between gender and college graduation)  Multivariate analysis  the examination of more than two variables simultaneously (e.g., the relationship between gender, race, and college graduation)
  • 175. Univariate analysis  Purpose: description  Bivariate analysis  Purpose: determining the empirical relationship between the two variables Multivariate analysis  Purpose: determining the empirical relationship among the variables
  • 176.  Univariate Statistical Treatment - The appropriate statistical tool for univariate problem is the weighted arithmetic mean and the like.  Bivariate Statistical Treatment in Experimental Research - The statistical tools for bivariate problem in experimental research are t-test and linear correlation.  Bivariate Statistical Treatment in Descriptive Research - The statistical tool used in bivariate descriptive research problems are z-test and linear correlation.
  • 177.  is a grouping of all observations into interval or classes together with a count of the number of observations that fall in each interval or class.