Guide to Experimental Research Designs Study Guide
This guide explores various experimental research designs, including multiple-group and factorial designs. It covers key concepts such as independent and dependent variables, between-person and within-person designs, main effects, and interaction effects, providing a foundational understanding for researchers and students.
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Assumptions and Methods of Correlational Research
Assumptions and Methods of Correlational Research
This topic covers assumptions of correlational research, factors affecting the correlation coefficient, and various correlational analyses including regression.
- Assumptions of Correlational Research
- Criteria for Cause-and-Effect Relationship
- Linearity
- Additivity
- Correlation Coefficient
- Simple Correlation
- Partial Correlation
- Multiple Regression Analysis
- Simultaneous MRA
- Hierarchical MRA
- Multiple Correlation Coefficient
- Regression Coefficient
- Standardized Beta
- Unstandardized B
- Multicollinearity
- Logistic Regression Analysis
- Chi-square test for association
Characteristics and Types of Experimental Research
Characteristics of True Experiments
Defining characteristics of the experiment include manipulation of the IV, holding variables constant, and ensuring equivalent personal characteristics.
- Manipulations
- Between- and Within-Person Designs
- Multiple group & Factorial designs
- Manipulation of the IV
- Descriptive Statistics
- Inferential Statistics
- Parametric Statistics
- Treatment variance
- Error variance
Characteristics of Good Experimental Manipulations
This topic discusses characteristics of a good manipulation including construct validity, reliability, strength, and salience.
- Construct Validity
- Manipulation check
- Pilot studies
- Reliability
- Strength of the Manipulation
- Salience of Manipulation
- Independent Variables
- Dependent Variables
True Experiments and Design Types
Controlling extraneous variables through between-person designs and within-person designs.
- Controlling Extraneous Variables
- Between-person designs
- Within-person designs
- Repeated measures design
- Random assignment
- Matched random assignment
- Order effects
- Practice Effects
- Fatigue Effects
- Carryover Effects
- Sensitization Effects
- Counterbalancing
- Washout Period
- Multiple Group Designs
Multiple-Group and Factorial Designs
This topic covers multiple-group designs involving quantitative and qualitative IVs, factorial designs with main effects and interaction effects, and various forms of experimental and correlational designs.
- Multiple-Group Designs
- Quantitative IVs
- Qualitative IVs
- t-test
- Post-hoc analysis
- Factorial Designs
- Main Effect
- Interaction Effect
- Between-person designs
- Within-person designs
- Manipulated IVs
- Measured IVs
- Experimental designs
- Correlational designs
- Factorial ANOVA
- Regression
- Moderation
- Order effects
- Blocking
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The Single-Case Research Strategy
An intensive study of a single person, group, organization, or culture involving case studies and single-case experiments.
- Case study
- Single-case experiment
- Nomothetic perspective
- Idiographic approach
- Descriptive purposes
- Explanatory purposes
- Evaluation purposes
- Baseline data
- A-B-A Design
- A-B Design
- A-B-C-B Design
- Multiple Baseline Design
- Simultaneous Treatments Design
- Changing Criterion Design
- Pattern Matching
- Explanation Building
- Visual Analysis
- Statistical Analysis
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Types of Field Research Methods
Research in natural settings involving field experiments, natural experiments, quasi-experiments, and naturalistic observation.
- Field Experiments
- Natural Experiments
- Quasi-Experiments
- Naturalistic Observation
- Independent Variables
- Extraneous Variables
- Construct Validity
- Nonequivalent Control Group Design
- Time Series Approach
- Interrupted Time Series Design
- Control Series Design
- Cognitive Biases
- Reactivity
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