Cited by 111Optimal Experimental Design MethodsStatistical Methods and Bayesian InferenceDiverse Academic Research Areas

Behavior Genetic Research Methods: Testing Quasi-Causal Hypotheses Using Multivariate Twin Data

Turkheimer, Eric, Harden, K. Paige·2014·Handbook of Research Methods in Social and Personality Psychology

Abstract

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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Crossref · 10.1017/cbo9780511996481.012

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Authors
Turkheimer, E., & Harden, K. P.
Venue
Handbook of Research Methods in Social and Personality Psychology
Published
2014-02-24
Pages
159-187
OpenAlex
W360262676
Cited by
111
References
83
Citations by year
2026: 4 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 11 · 2021: 12 · 2020: 13 · 2019: 12 · 2018: 12 · 2017: 12 · 2016: 5 · 2015: 6 · 2014: 2 · 2013: 2
FWCI
31.03
Type
book chapter
Language
en
Open access
closed
Locations
Cambridge University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Education › Diverse Academic Research Areas
Keywords
experimental design, quasi-experimental design, non-experimental design, independent variables, dependent variables, factorial design, nested factors, confounding, statistical power, internal validity, construct validity, generalizability, behavioral genetics

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