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Binary Variable
A variable with only two possible values (e.g., yes/no, 0/1).
Likert Scale
A measurement scale that asks respondents to indicate agreement or disagreement on an ordered scale (e.g., strongly disagree to strongly agree).
Semantic Differential Scale
A scale that measures attitudes using pairs of opposite adjectives (e.g., good-bad, strong-weak).
Guttman Scale
A cumulative scale where agreement with higher-order items implies agreement with lower-order items.
Dummy Variable
A binary variable created from a nominal variable to represent group membership (0 = reference group, 1 = comparison group).
Reference Group (Dummy Variables)
The omitted category in a regression that all other groups are compared against
Exploratory Factor Analysis (EFA)
Used to discover underlying dimensions or factors when the structure is unknown.
Confirmatory Factor Analysis (CFA)
Used to test whether data fit a predefined factor structure based on theory.
Difference Between EFA and CFA
EFA explores patterns; CFA confirms hypothesized relationships.
Double Barreled Question
A question that asks about more than one issue at the same time.
Double Negative Question
A question that uses two negatives, making interpretation confusing.
Leading Question
A question that pushes respondents toward a particular answer.
Social Desirability Bias
When respondents answer in a way that makes them look good rather than telling the truth.
Fence Sitting
Choosing a neutral option when a respondent truly has an opinion.
Floating
Giving an opinion on a topic the respondent has little knowledge about.
Response Scale
A set of answer options used to clarify meaning and reduce vagueness.
Unipolar Scale
Measures intensity in one direction (e.g., not at all → extremely).
Bipolar Scale
Measures between two opposite concepts (e.g., agree ↔ disagree).
Likert Scale Categories
Unipolar scales usually have 4-5 categories; bipolar scales usually have 5-7 categories.
Filter Question
A screening question that determines whether follow-up questions apply.
Skip Pattern
Instructions that guide respondents past irrelevant questions.
Contingent Question
A follow-up question asked only if a certain response is given.
Questionnaire
A self-administered survey instrument.
Interview Schedule
A survey administered by an interviewer.
Pilot Sample
A small test group used to identify problems in a survey before full deployment.
Focus Group
A guided discussion used to evaluate question wording and survey design.
Interpretive Question
Asks for opinions, meanings, or perceptions.
Factual Question
Asks for objective information; preferred for survey accuracy.
Context Effects
When earlier questions influence responses to later questions.
Sensitive Questions Strategy
Use indirect wording, place later in survey, or ensure confidentiality.
Dependent Variable Placement
Measures of the dependent variable should appear after independent variables.
CAPI (Computer-Assisted Personal Interviewing)
A digital interviewing method that produces high-quality survey data.
Forward-and-Back Translation
A translation process ensuring meaning equivalence across languages.
True Experiment Requirements
Manipulation, control group, and random assignment.
Internal Validity
The degree to which a study establishes a causal relationship.
External Validity
The degree to which findings can be generalized beyond the study.
Validity Trade-Off
Increasing internal validity often reduces external validity.
Experimental Complexity
Adding factors, repeated measures, or multiple groups to improve realism.
Challenge of Experiments
Ethical limits, artificial settings, and difficulty generalizing results.
Goal of Qualitative Research
To understand meaning, experience, and social processes.
Documenting
Collecting and recording qualitative data.
Concepts
Identifying key ideas or themes in qualitative data.
Relationships
Linking concepts to show patterns or processes.
Authentication
Ensuring credibility and trustworthiness of findings.
Reflexivity
Acknowledging how the researcher influences the research.
Hermeneutic Spiral
An iterative process of interpretation moving between data and theory.
Saturation
The point at which no new insights emerge from data collection.
Open Coding
Breaking data into discrete parts and labeling concepts.
Axial Coding
Linking categories using relationships.
Five Cs of Axial Coding
Conditions, Context, Causes, Consequences, Contingencies.
Selective Coding
Integrating categories around a core concept to build theory.
Bracketing
Setting aside researcher assumptions.
Horizontalization
Treating all statements as equally important initially.
Textural Description
Describing what participants experienced.
Structural Description
Describing how the experience occurred.
Cross-Tabulation
A table showing the relationship between two categorical variables.
Positive Relationship
As one variable increases, the other increases.
Negative Relationship
As one variable increases, the other decreases.
Correlation Coefficient (r)
A number between −1.00 and +1.00 indicating relationship strength and direction.
Scatterplot
A visual display of the relationship between two quantitative variables.
OLS Regression
A method used when the dependent variable is continuous.
p-Value
The probability that an observed effect occurred by chance.
b Coefficient
The unstandardized effect of an independent variable.
Beta (β) Coefficient
The standardized effect used to compare variable importance.
R² (R-Squared)
The proportion of variance explained by the model.
Logistic Regression
Used when the dependent variable is binary.
Odds Ratio
Indicates how the odds change with a one-unit increase in a predictor.
Evaluation Research Goal
To assess program effectiveness and outcomes.
Needs Assessment
Identifying whether a program is necessary.
Program Theory
Examining how a program is supposed to work.
Process Evaluation
Assessing how a program is implemented.
Outcome Evaluation
Measuring whether a program achieved its goals.