Summary
Contents
Subject index
Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test, how to carry out the tests, and then perform the analysis in SPSS. Emphasizing the place of statistical analysis in the process of conducting research, from design to report writing, this accessible and straightforward guide takes a non-technical approach, encouraging the reader to understand why a particular test is being used and what the results mean in the context of a psychological study. The focus is on meaning and understanding rather than numerical calculation.
Analysing Questionnaires and Measurement Instruments
Analysing Questionnaires and Measurement Instruments
What's in This Chapter?
- Reliability
- Coefficient alpha
- Cohen's kappa
- Using SPSS
Key Terms
Bland-Altman limits of agreement
citations
classical test theory
coefficient alpha
Cohen's kappa
correlation
Cronbach's alpha
internal consistency
line of best fit
line of equality
psychometric
reliability
split-half method
standardised alpha
temporal stability
test-retest reliability
true measure
variance
Introduction
We live in a world that constantly surveys its population. Questionnaires are big business, and statisticians have developed ever increasingly sophisticated ways to analyse this wealth of data. Questionnaires are also the most common way of collecting data in applied areas of psychology. This chapter introduces some simple psychometric principles and techniques of analysis such as coefficient (Cronbach's) alpha, and other measures of reliability.
Measurement
In psychology, we spend a great deal of our time measuring things, and a great deal of our time thinking about how to measure things. The ...
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