When your data is uploaded to the Intellectus Statistics™ application you should confirm your levels of measurement are as follows for each analysis:
Pearson Correlation: All variables are scale level of measurement
One way ANOVA: Independent variable is nominal level of measurement; dependent variable is scale
Independent samples t-test: Independent variable is a dichotomous nominal; dependent variable is scale
Dependent samples t-test: both variables are scale
Chi-square: x variable (factor) is nominal; Y variable (factor) is nominal
Linear regression: Dependent variable is scale; predictor(s) scale, ordinal, or nominal
Mediation: Continuous or dichotomous categorical variable
Moderation: Continuous or dichotomous categorical variable
Reliability: All variables should be the same level of measurement with themselves (e.g., only ordinal variables used together)
Logistic regression: Independent variables are nominal or scale; dependent variable is dichotomous
Wilcoxon signed rank: Both variables are ordinal (or scale)
Mann Whitney U: Independent variable is dichotomous; dependent variable is ordinal (or scale)
Kruskal Wallis: Independent variable is nominal with three or more levels; dependent variable is ordinal (or scale)
Friedman Test: All variables are ordinal (or scale)
Repeated measures ANOVA: All variables are scale
One-within One between ANOVA: Independent variable is nominal; dependent variables are scale
ANCOVA: Independent variable is nominal; covariates are scale; dependent variable is scale
Two-Between ANOVA: Dependent variable is scale; independent variables are nominal