Book contents
- Handbook of Research Methods in Social and Personality Psychology
- Handbook of Research Methods in Social and Personality Psychology
- Copyright page
- Contents
- Contributors
- Introduction to the Second Edition
- Introduction to the First Edition
- Chapter one Scratch an Itch with a Brick
- Part one Design and Inference Considerations
- Chapter two Research Design and Issues of Validity
- Chapter three Research Design
- Chapter four Causal Inference and Generalization in Field Settings
- Chapter five Field Research Methods
- Part two Procedural Possibilities
- Part three Data Analytic Strategies
- Author Index
- Subject Index
Chapter three - Research Design
from Part one - Design and Inference Considerations
Published online by Cambridge University Press: 05 June 2014
Book contents
- Handbook of Research Methods in Social and Personality Psychology
- Handbook of Research Methods in Social and Personality Psychology
- Copyright page
- Contents
- Contributors
- Introduction to the Second Edition
- Introduction to the First Edition
- Chapter one Scratch an Itch with a Brick
- Part one Design and Inference Considerations
- Chapter two Research Design and Issues of Validity
- Chapter three Research Design
- Chapter four Causal Inference and Generalization in Field Settings
- Chapter five Field Research Methods
- Part two Procedural Possibilities
- Part three Data Analytic Strategies
- Author Index
- Subject Index
Summary
Research design is inextricably linked to data analysis. Research designs can be divided into three fundamental categories: experimental design, quasi-experimental design, and nonexperimental or passive observational design. This chapter focuses almost exclusively on experimental design, for two main reasons. In an experimental design there are always at least two factors such as fixed and random factors or independent variables, variables that are considered to influence the dependent variable response. The chapter discusses a series of questions that must be answered regarding each individual factor in a design. It considers the possible ways that multiple factors included in a single experiment may be interrelated. Multiple factors in a design can be crossed, nested, or confounded. Issues involving the dependent measures in a study are also part of experimental design, and these choices can influence statistical conclusion validity (power), internal validity, construct validity, and external validity.
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- Information
- Publisher: Cambridge University PressPrint publication year: 2014
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