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 Data from Independent Groups: Continuous and Ordinal Measures
Analysing Data from Independent Groups: Continuous and Ordinal Measures
What's in This Chapter?
- Independent groups designs
- Independent groups t-test
- Mann–Whitney U test
- Using SPSS
Key Terms
box and whisker plot
chi-square test
Cohen's d
confidence interval
continuous (interval) scale
control group
effect size
experimental design
homogeneity of variance
independent groups design
independent groups t-test
Mann–Whitney test
non-parametric test
normal distribution
pooled variance t-test
power
quasi-experimental design
standard deviations
standard error
type I error rate
unpooled variance t-test
variance
z-score
Introduction
This chapter tells you how to analyse data from experiments that use an independent groups (or between-subjects) design. It tells you how to get from charts and data to probability statements. You should be warned that when you turn the pages you will find equations with terrifying sequences of numbers and Greek symbols. They look much worse than they really are and you will not need ...
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