Lesson 4 Flashcards
Writing Chapter 3 – Methodology (25 cards)
outlines the research design, data collection, and analysis methods.
Methodology
ensures the study’s validity and reliability by providing a clear plan for how the research was conducted.
Methodology
Contents of Chapter 3 - Methodology
- Research Locale
- Respondents / Participants
- Research Design
- Research Instrument
- Procedures / Data Collection
- Data Analysis
- Statistical Treatment
This section describes the geographical or institutional setting where the research took place.
Research Locale
Specifies the target population and sample selection process.
Respondents / Participants
Their role is usually limited to providing responses to predefined questions.
Respondents
Common in quantitative research, where data is collected using surveys or polls.
Respondents
May be involved in experiments, focus groups, case studies, observations, or interviews.
Participants
Common in qualitative research, where researchers explore deeper insights and behaviors.
Participants
Defines the overall structure of the study (e.g., qualitative, quantitative, mixed methods).
Research Design
Explains the type of research (e.g., descriptive, experimental, correlational, causal, case study).
Research Design
Describes the tools used for data collection, such as surveys, interviews, questionnaires, observation
checklists, or secondary data sources.
Research Instrument
If instruments were adapted (structured) or developed (unstructured), it explains their validity and reliability.
Research Instrument
Outlines the step-by-step process of gathering data.
Procedures / Data Collection
- Includes timelines, ethical considerations, and any permissions obtained.
Procedures / Data Collection
Explains how raw data was processed, organized, and interpreted.
Data Analysis
If qualitative, describes thematic analysis, coding techniques, or discourse analysis.
Data Analysis
Details the statistical methods used to analyze data (e.g., mean, standard deviation, regression analysis,
t-test, ANOVA).
Statistical Treatment
Justifies the chosen statistical techniques based on research objectives and hypotheses.
Statistical Treatment
summarizes categorical data
frequency & percentage
measures central tendency on a scale
mean
measures the strength of the relationship between two variables
correlation
predicts a dependent variable from an independent variable
regression
compares the mean of two groups
t-test
