Analyzing Data

How to conduct statistical tests...

• How do I choose the appropriate statistical test for my data?
• How do I create dummy variables?
• How do I control for familywise error?

- 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 analysis of covariance (ANCOVA)?

• What is analysis of variance (ANOVA)?
• What is a one-way ANOVA?
• What is the difference between one-way analysis of variance and two-way analysis of variance?

• What is the difference between a type I and type II error?
• What is the difference between floor effects and ceiling effects?
• How is a linear relationship different from a nonlinear/curvilinear relationship?
• Are linear relationships helpful or harmful to a study?
• How is a positive linear relationship different from a negative linear relationship?
• How does confounding impact the research?
• How is validity different from reliability?
• How is a between-subjects ANOVA different from a within-subjects ANOVA?
• What is the difference between bimodal distribution and unimodal distributions?
• What are the advantages/disadvantages of secondary data analysis?
• How is interitem reliability different than interobserver reliability?
• How is continuous data different than categorical data?
• How does variability impact research findings?
• What is the difference between descriptive statistics and inferential statistics?
• What are the criticisms of hypothesis testing?
• How do I calculate a sample size?
• When do I use univariate analysis?
• When do I use multivariate analysis?

• SLG-Meta-Q_&_A
• When do we use planned comparisons in research?

• Other

- 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?

• What is alpha?
• What is a manipulation check?
• How does one conduct a manipulation check?
• Transforming continuous into categorical variables

- Why transform continuous variables into categorical variables?
- How to dichotomize variables?
- Why cut into thirds or fourths instead of dichotomizing?

• Composites

- 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?

Other types of practical questions...

• When to use a one-tailed versus two-tailed test?
• When to use univariate versus multivariate statistics?
• If my correlational data is not linear, what do I do?
• What are some overall tips/tricks when analyzing data?
• What is considered marginally significant?
• What is the difference between descriptive and inferential statistics?
• What are "Descriptive Statistics"?
• What are "Inferential Statistics"?

Data Screening

• What is the purpose of data screening/cleaning?
• Tips/tricks for Data cleaning
• Checking Data Entry

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?