Interpreting and using statistics in psychological research /
[Book]
Andrew N. Christopher.
Los Angeles :
SAGE Publications,
[2017]
xxv, 552 pages :
illustrations, color ;
22 cm
Includes bibliographical references (pages 537-539) and index.
Why do I have to learn statistics? The value of statistical thinking in life -- Basics of quantitative research: Variables, scales of measurement, and an introduction to the statistical package for the social sciences (SPSS) -- Describing data with frequency distributions and visual displays -- Making sense of data: Measures of central tendency and variability -- Determining "high" and "low" scores: The normal curve, z scores and probability -- Drawing conclusions from data: Descriptive statistics, inferential statistics, and hypothesis testing -- Comparing two group means: The independent samples t test -- Comparing two repeated group means: The paired samples t test -- Comparing three or more group means: The one-way, between-subjects analysis of variance (ANOVA) -- Comparing three or more repeated group means: The one-way, repeated-measures analysis of variance (ANOVA) -- Analyzing two or more influences on behavior: Factorial designs for two between-subjects factors -- Determining patterns in data: Correlations -- Predicting the future: Univariate and multiple regression -- When we have exceptions to the rules: Nonparametric tests -- Bringing it all together: Using your statistical toolkit.
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A practical introduction to statistical analysis by this award-winning teacher, helping students to make clear connections between statistics and the real world.