Scales of Measurement
Examples from your q're?
When to use which: identity versus magnitude
Relevance to your Results section
How often does each score appear?
Types of Frequency distributions:
Using Frequencies in your Participants Section
-analyze frequency of sex, ethnicity
The sample consisted of 120 participants, approximately half of whom were women (N = 62)
while the rest were men (N = 58). Further, approximately 42 percent of participants were White,
and the remaining participants were evenly distributed across African American (17%), Latin
Amercian (20%), Asian American (14%) and other (7%) (See Table 1)"
Measure of Central Tendency
Variability=how dispersed/ spread out scores are from the mean
hit statistics button, and click all that apply
Sample Results section:
-analyze means, and standard deviation (interval data)
"Table 1 shows the means and standard deviations of high school and college GPAs by gender.
The means and standard deviations of high school GPAs were relatively similar for men and
women. However, it appears that on average, women had higher college GPAs than men"*
Means and Standard Deviations for College and High School GPA Scores for each Gender
|High School GPA||M
Standard (Z-)Scores: transforms raw scores into a score depicting your position in the
distribution:____ standard deviations above/below the mean.
Purpose: To compare different scales
e.g., Did you perform as well on a quiz as an exam?
e.g., Test Mean Std. Dev raw score
Assignment 15 2.5 16 (80%)
Test 36 6 48 (80%)
Correlation: the extent to which two variables are related
Sample Results section
" ...means, sd's...
Correlation coefficients were computed to assess the relationship between perceived personal and
group discrimination. Results indicated there was a positive correlation, r = .65, p = >01, such
that the more women perceived their group to be discriminated against, the more they perceived
themselves to personally experience discrimination"
Regression analysis=used to predict one variable (Y) from several (X1, X2 etc.)
r2=% of variability explained in the predicted (Y) by the predictor (X) variable
Answer: regression coefficient
Sample Results section
"...means, sd's, correlations...
To assess the predictors of collective action, a regression analysis was conducted whereby
collective action was regressed onto personal and group discrimination. Together, personal and
group discrimination explained 24.8% of the variability in collective action, F(2, 110) = 18.17, p
= .01. However, only perceiving personal discrimination uniquely predicted collective action, B
= .50, p =.01, such that the more women perceived themselves to be victims of discrimination,
the more action they took"