► General
► Data Screening
► Missing Values - Why do missing values occur? - Why is missing data a problem? - How do I identify if missing values are random or non-random? - How do I deal with missing data?
► Outliers - What are outliers? - Should I check for outliers? - How can I tell if outliers are influencing my data? - How do I detect univariate outliers in my data? - How do I detect bivariate and multivariate outliers in my data? - How do I deal with outliers?
► Normality - What is "normality"? - Why is normality important? - How do I determine whether my data are normal? - How do I deal with non-normality? - How do I transform variables?
- Meta-analysis - Mediation - What is an Interaction? - Interaction between two continuous variables - Interaction between categorical and continuous variables - What is a correlation? - What is a partial correlation? - What is a point-biserial correlation? - What is regression? - What is a probabilistic causal analysis? - What is analysis of covariance (ANCOVA)?
- What is a scatterplot? - What is linearity? - Want help using SPSS? - What is "syntax" in SPSS? - What is Computational Modeling? - What is a rank-based nonparametric test?
- Why transform continuous variables into categorical variables? - How to dichotomize variables? - Why cut into thirds or fourths instead of dichotomizing?
- How do I create a composite of items? - Why create a composite of items? - How do I know when it is appropriate to create a composite? - How do I create a composite with items with different scale ranges? - How do I create a composite with items labeled in opposite directions?
