This document provides an overview of quantitative research approaches. It discusses the use of theories and variables, including independent, dependent, mediating, moderating, and control variables. It also covers research questions, strategies like surveys and experiments, and methods of data collection including questionnaires, structured observations, and interviews. Experiments are described in detail, including components, threats to validity, and procedures. The goal of quantitative research is to test or support hypotheses and theories through objective and systematic data collection and analysis.

2. QUANTITATIVE RESEARCH
APPROACH
Surely We have created
everything according to a
precise measure.” Quran,
Chapter: 54, Verse: 49

3. 1.Use of Theories
2. Research Questions
3. Strategies (Design Categories)
4. Data Collection Methods
5. Data Analysis Methods

4. . Use of Theories
Theories are hypotheses which specify or
explain the relationship among variables
Variable: Attribute of an individual/thing
that can be measured or observed and
that varies among the people/things
being studied
Theory: A bridge between independent
(cause or predictor) and dependent
(outcome or effect) variables.

5. Types of Variables
Independent: cause or predictor variable
Dependent: outcome or effect variable
Mediating (intervening): Stand between the
independent and dependent variables
Example:
Does the case-based method (variable
type?) enhance student learning of social
work (variable type?) by increasing student
motivation (variable type?)?

6. Moderating: Independent variables that
affect the direction and/or the strength of
the relationship between independent and
dependent variables
Example:
Does age times critical thinking score
(variable type?) impact student
achievement in the Research
Methodology course (variable type?) ?

7. Control: Type of independent
variables that potentially influence
the dependent variable (often
demographic or personal variables)
Example:
Student’s prior years of schooling
before admission (variable type?)
affect success in the foundation
program (variable type?)

8. Quantitative research designs typically
begin with a theory, and work to disprove
or support it
The researcher:
1. Selects a theory
2. Defines and operationalizes variables
derived from the theory
3. Measures or observes variables using
instruments with verified validity and
reliability
Theories can be micro/meso/macro level

9. Research Questions
Three approaches to Research Questions:
1. Describe responses to the independent,
mediating, or dependent variables
(descriptive study)
What is the frequency and variation of
scores on grades for the SW students in
the study?
How do the CE students rate on critical
thinking skills?

10. 2. Relate one or more
independent variables to one or
more dependent variables (a
survey that correlates variables)
How does critical thinking ability relate to
student achievement? (An inferential question);
(type of variables?)
How does self-esteem influence the formation of
friendships among adolescents? (type of
variables?)

11. Compare groups on an
independent variable to see its
impact on a dependent variable
(experiment )
Is the case-based method of instruction more
effective than the lecture-discussion in terms of
enhancing students’ overall multicultural social
work competence? (types of questions?)

12. . Research Strategies
4. Research Strategies
A carefully constructed plan
of action that is rationally
designed and likely to offer the
best prospects of success

13. 1. Surveys
Definition: The collection of
information from a sample of
individuals through their responses
to questions

14. Types of surveys
 Surveys differ in terms of the technology they
use:
Face to face: more expensive, immediate
validation, better response rate
Telephone: less costly, less time-consuming
Internet: emails, web-based, on-line groups
Social media: less costly, quick response

15. Selection of survey type:
Choice of type of survey is based on:
Study objectives, geographical area, methods
of data collection, the speed of responses, the
response rate, the need for face to face
contact, the need for indirect contact, the
validity of answers

16. 2. Experiments
Five conditions for use of experiments:
1. The research is explanatory
2. Well-established knowledge about the topic
exists
3. Formation of hypothesis is possible
4. Measurements produce quantitative data
5. Controlling factors studied is possible

17. Components of experiments:
1. Participants:
Specify the number/amount
Describe selection and assignment processes
Is there random assignment (true
experiments)?
2. Variables:
Independent: The treatment, controls,
mediating
Dependent: The outcome

18. . Materials and Instruments:
 Materials: Used for the treatment; characteristics?
Instruments: To measure pretest & post-test
4. Procedures:
Type of experiment used: pre-experiment,
quasi-experiment, true experiment
Illustrate the experimental design:
figure, diagram, etc

19. Experiment Notations:
R = Random assignment
O = Observation
X = Treatment intervention
Example:
Pretest-posttest randomized control group
design
Group A RO____X______O
Group B RO___________O

20. Procedure Steps:
1. Prepare
2. Assign participants to the experimental and
control groups
3. Measure both groups on the dependent
variable
4. Expose the experimental group to the
treatment and the control group alternative or
no treatment
5. Measure the dependent variable in both
groups
6. Perform statistical analysis to compare
post-tests

21. Threats to Validity
Internal Validity:
Definition: The extent to which the experiment
establishes a cause and effect relationship
between the treatment and outcome
Alternative explanations should be eliminated
Threats to internal validity:
History, selection, mortality, treatment
diffusion, resentful demoralization, testing,
instrumentation

22. External Validity:
Definition: The validity of applying
experiment findings outside of the
context of that study
Threats to external validity:
Pre and posttest: Do tests influence the
outcome?
Sample features: Do some sample features
affect outcome?
Selection bias: Do differences b/w groups
affect?
Situational factors: time, location, lighting,
etc.

23. . Data Collection Methods
How to collect, analyze, and interpret
data:

24. Data collection methods are the
equivalent of a microscope or a
thermometer:
Instruments (Natural Sciences)
Questionnaire
Structured Observation
Interviews
Documents

25. 1. Questionnaires
 Questionnaires meet the following Criteria:
 Collect information that can be used as data for
analysis
 Consist of a written list of questions
 Collect information by asking people directly
 Success of questionnaires depends on:
 Response rate
 Completion rate
 Validity of responses (honesty and accuracy)

26.  Questionnaires meet the following Criteria:
 Collect information that can be used as data for
analysis
 Consist of a written list of questions
 Collect information by asking people directly
 Success of questionnaires depends on:
 Response rate
 Completion rate
 Validity of responses (honesty and accuracy)

27. For better Questionnaires take into account:
 Capabilities of respondents
 Respondent motivation
 Sensitivity of the topic
 Questionnaire deign

28. Observations
Systematic Observations:
A method that introduces a system to the
process of observation
It uses observation schedule to produce data
that are consistent between observers
Observation Schedule:
It contains items (e.g. checklist) that all
observers must use
It specifies what to be observed and how

29. Systematic Observations:
Data based on the counts, amounts, and
frequencies of the observed are collected
Frequency and duration of events are
recorded
Observer effect:
To minimize disruption:
1. Unobtrusive position;
2. Avoid interaction

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