PSYC104 Lecture Notes - Lecture 9: Factor Analysis, Extraversion And Introversion

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PSYC104 Research Design Lecture
Week 10 Non-Experiments
Non-experimental designs include
Case studies
Naturalistic observations
Interview studies
Focus groups
Surveys/questionnaire studies
The cross-sectional design
Also known as
o Passive designs
o Associational studies
o Correlational studies
The choice of population for the study is very important in cross-sectional studies
Cross-sectional designs are applicable when
The research question emphasizes the need to study two pre-existing populations. These populations
are naturally occurring instances of specific traits or characteristics of interest to the researcher
Early in the examination of a general research question to ascertain if there are empirically verifiable
relationships among constructs
It is either ethically or practically not possible to conduct experiments
A researcher is interested in combining a number of variables, as experiments cannot cope with such
complexity
Studying the relationship between constructs e.g. extraversion and IQ
Developing and refining psychological tests instruments or scales
Examining the makeup of a construct [via a scale] through factor analysis
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Document Summary

Non-experimental designs include: case studies, naturalistic observations, focus groups, surveys/questionnaire studies. The cross-sectional design: also known as, passive designs, associational studies, correlational studies, the choice of population for the study is very important in cross-sectional studies. Cross-sectional designs are applicable when: the research question emphasizes the need to study two pre-existing populations. These populations are naturally occurring instances of specific traits or characteristics of interest to the researcher: early in the examination of a general research question to ascertain if there are empirically verifiable relationships among constructs.

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