SPSS Stat tests & definitions Flashcards
p value (hypothesis tests)
- used in null hypothesis rejection testing
if p > 0.05, accept null hypothesis - results oppose research hypothesis enough to consider null hypothesis is correct
if p < 0.05, reject null hypothesis (larger p value = more likely ‘significant’ results were cause by chance)
hypothesis tests:
t tests
parametric
means normally distributed data p < .01
Nominal data
Data represented in the form of categories
Ordinal data
Data is ordered in some way
Interval data
Based on numerical scales that include units of equal, precisely defined size
Statistical tests
Used in psychology to determine whether a significant difference or correlation exists
Levels of measurement
Quantitative data can be classified into types of levels as measurement, such as nominal, ordinal and interval
Chi-squared
A test for an association between 2 variables or conditions. Data should be nominal level using an unrelated (independent) design
Mann-Whitney U
A test for significant difference between 2 sets of scores. Data should be at least ordinal level using an unrelated design (independent groups)
Wilcoxon test
A test for a significant difference between 2 sets of scores. Data should be at least ordinal level using a related design (repeated measures) (equivalent of Mann Whitney for repeated)
Pearson’s correlation (r value)
A parametric test for correlation when data is at interval level
ratio data
Quantitative data version of interval data, set value between each, no smaller value than 0
Spearman’s correlation (r value)
version of Pearson’s test for data w more outliers
correlation coefficient