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TAF Support

April Member Training: Statistical Contrasts

by TAF Support


Statistical contrasts are a tool for testing specific hypotheses and model effects, particularly comparing specific group means.

[Read more…] about April Member Training: Statistical Contrasts

Tagged With: ANOVA, General Linear Model, group comparisons, statistical contrasts

Related Posts

  • Member Training: Hierarchical Regressions
  • The General Linear Model, Analysis of Covariance, and How ANOVA and Linear Regression Really are the Same Model Wearing Different Clothes
  • March Member Training: Goodness of Fit Statistics
  • Member Training: The Anatomy of an ANOVA Table

March Member Training: Goodness of Fit Statistics

by TAF Support


What are goodness of fit statistics? Is the definition the same for all types of statistical model? Do we run the same tests for all types of statistic model?

[Read more…] about March Member Training: Goodness of Fit Statistics

Tagged With: count models, goodness of fit, linear regression, logistic regression, mixed model, Structural Equation Modeling

Related Posts

  • Member Training: Using Excel to Graph Predicted Values from Regression Models
  • Member Training: Hierarchical Regressions
  • Member Training: Generalized Linear Models
  • Member Training: Types of Regression Models and When to Use Them

February Member Training: Choosing the Best Statistical Analysis

by TAF Support

Before you can write a data analysis plan, you have to choose the best statistical test or model. You have to integrate a lot of information about your research question, your design, your variables, and the data itself.

[Read more…] about February Member Training: Choosing the Best Statistical Analysis

Tagged With: data analysis plan, planning, Statistical analysis, statistical model

Related Posts

  • Member Training: Non-Parametric Analyses
  • What to Do When You Can’t Run the Ideal Analysis 
  • Member Training: The Multi-Faceted World of Residuals
  • Member Training: Statistical Rules of Thumb: Essential Practices or Urban Myths?

Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

by TAF Support

A Gentle Introduction to Random Slopes in Multilevel Modeling

…aka, how to look at cool interaction effects for nested data.

Do the words “random slopes model” or “random coefficients model” send shivers down your spine? These words don’t have to be so ominous. Journal editors are increasingly asking researchers to analyze their data using this particular approach, and for good reason.

[Read more…] about Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

Tagged With: multilevel model, nested, random slope

Related Posts

  • Member Training: A Gentle Introduction to Multilevel Models
  • Member Training: Elements of Experimental Design
  • The Difference Between Random Factors and Random Effects
  • Member Training: Latent Growth Curve Models

Member Training: Missing Data

by TAF Support

Missing data causes a lot of problems in data analysis. Unfortunately, some of the “solutions” for missing data cause more problems than they solve.

[Read more…] about Member Training: Missing Data

Tagged With: data issues, listwise deletion, mean imputation, Missing Data, Multiple Imputation

Related Posts

  • Member Training: Elements of Experimental Design
  • Member Training: Hierarchical Regressions
  • Member Training: Multiple Imputation for Missing Data
  • Linear Mixed Models for Missing Data in Pre-Post Studies

Member Training: Preparing to Use (and Interpret) a Linear Regression Model

by TAF Support

You think a linear regression might be an appropriate statistical analysis for your data, but you’re not entirely sure. What should you check before running your model to find out?

[Read more…] about Member Training: Preparing to Use (and Interpret) a Linear Regression Model

Tagged With: Bivariate Statistics, histogram, interpreting regression coefficients, linear regression, Multiple Regression, scatterplot, Univariate statistics

Related Posts

  • March Member Training: Goodness of Fit Statistics
  • Member Training: Using Transformations to Improve Your Linear Regression Model
  • Member Training: Segmented Regression
  • The General Linear Model, Analysis of Covariance, and How ANOVA and Linear Regression Really are the Same Model Wearing Different Clothes

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  • April Member Training: Statistical Contrasts

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