Part I of the Study Guide for Explaining Psychological Statistics, Third Edition
by Barry H. Cohen
Chapter 1
Introduction to Psychological Statistics
Measurement Scales
Nominal: Observations are assig
The Range. The range is the highest score minus the lowest. The number of books read ranged from 1 to
9, so range = 9 - 1 = 8. If the scale is considered continuous (e.g., 9 books is really anywhere b
Chapter 3
Measures of Central Tendency and Variability
Advantages and Disadvantages of the Major Measures of Central Tendency
Advantages of the Mode:
1. Easy to find.
2. Can be used with any scale of
Sig. value in the ANOVA box will always be the same as the Sig. for your IV in the
Coefficients box, when you are using only one IV (i.e., predictor).
Creating scatterplots. To check the linearity of
Chapter 10 Section D
Linear Regression
To compute a linear regression analysis in SPSS:
1.Select Regression from the ANALYZE menu, and then choose Linear
2. In the dialog box that opens, move the var
Chapter 9 Section D
Linear Correlation
To compute the Pearson r in SPSS:
1. Select Correlate from the ANALYZE menu,
2. Then choose Bivariate
3. In the dialog box that opens, move the variables you wi
iii. For any value specified for q, the function will tell you how much of that
particular noncentral t distribution is to the left of q.
c. Example: If the sizes of your two groups were 15 and 20, df
Chapter 8 Section D
Statistical Power and Effect Size
For power analysis in the two-group case, you need to work with a noncentral t
distribution, which is centered on delta (the noncentrality paramet
Chapter 2
Frequency Tables, Graphs, and Distributions
Guidelines for Frequency Distributions
The procedure for constructing a grouped frequency distribution can be summarized in terms of the
following
Adjacent values: The upper adjacent value is the highest score in the distribution that is not higher than the
upper inner fence, and the lower adjacent value is similarly defined in terms of the lowe