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TAF Support

Member Training: Explaining Logistic Regression Results to Non-Researchers

by TAF Support

Interpreting the results of logistic regression can be tricky, even for people who are familiar with performing different kinds of statistical analyses. How do we then share these results with non-researchers in a way that makes sense?

[Read more…] about Member Training: Explaining Logistic Regression Results to Non-Researchers

Tagged With: categorical variable, graphing, interaction, logistic regression, numeric variable

Related Posts

  • Member Training: Logistic Regression for Count and Proportion Data
  • Member Training: Using Excel to Graph Predicted Values from Regression Models
  • Member Training: Types of Regression Models and When to Use Them
  • How to Combine Complicated Models with Tricky Effects

Member Training: Seven Fundamental Tests for Categorical Data

by TAF Support

In the world of statistical analyses, there are many tests and methods that for categorical data. Many become extremely complex, especially as the number of variables increases. But sometimes we need an analysis for only one or two categorical variables at a time. When that is the case, one of these seven fundamental tests may come in handy.

These tests apply to nominal data (categories with no order to them) and a few can apply to other types of data as well. They allow us to test for goodness of fit, independence, or homogeneity—and yes, we will discuss the difference! Whether these tests are new to you, or you need a good refresher, this training will help you understand how they work and when each is appropriate to use.

[Read more…] about Member Training: Seven Fundamental Tests for Categorical Data

Tagged With: categorical outcome, categorical variable, chi-square test, cochran-mantel-haenszel, fisher exact test, goodness of fit, independence, mcnemar test, Z test

Related Posts

  • Chi-Square Test of Independence Rule of Thumb: n > 5
  • February Member Training: Choosing the Best Statistical Analysis
  • September Member Training: Inference and p-values and Statistical Significance, Oh My!
  • Effect Size Statistics: How to Calculate the Odds Ratio from a Chi-Square Cross-tabulation Table

Member Training: Writing Up Statistical Results: Basic Concepts and Best Practices

by TAF Support

Many of us love performing statistical analyses but hate writing them up in the Results section of the manuscript. We struggle with big-picture issues (What should I include? In what order?) as well as minutia (Do tables have to be double-spaced?). [Read more…] about Member Training: Writing Up Statistical Results: Basic Concepts and Best Practices

Tagged With: communicate results, dissertation, p-value, reporting, statistical significance, tables, Writing Results

Related Posts

  • September Member Training: Inference and p-values and Statistical Significance, Oh My!
  • Member Training: Practical Suggestions for Improving Your Scatterplots
  • Should Confidence Intervals or Tests of Significance be Used?
  • Member Training: How to Avoid Common Graphical Mistakes

Member Training: Determining Levels of Measurement: What Lies Beneath the Surface

by TAF Support

You probably learned about the four levels of measurement in your very first statistics class: nominal, ordinal, interval, and ratio.

Knowing the level of measurement of a variable is crucial when working out how to analyze the variable. Failing to correctly match the statistical method to a variable’s level of measurement leads either to nonsense or to misleading results.

But the simple framework of the four levels is too simplistic in most real-world data analysis situations.

[Read more…] about Member Training: Determining Levels of Measurement: What Lies Beneath the Surface

Tagged With: interval, level of measurement, Likert Scale, nominal variable, ordinal variable, ratio

Related Posts

  • When a Variable’s Level of Measurement Isn’t Obvious
  • Member Training: Statistical Rules of Thumb: Essential Practices or Urban Myths?
  • Member Training: Data Cleaning
  • Member Training: Those Darn Ratios!

Member Training: Model Building Approaches

by TAF Support

There is a bit of art and experience to model building. You need to build a model to answer your research question but how do you build a statistical model when there are no instructions in the box? 

Should you start with all your predictors or look at each one separately? Do you always take out non-significant variables and do you always leave in significant ones?

[Read more…] about Member Training: Model Building Approaches

Tagged With: centering, interaction, lasso, Missing Data, Model Building, Model Fit, Multicollinearity, overfitting, Research Question, sample size, specification error, statistical model, Stepwise

Related Posts

  • What Is Specification Error in Statistical Models?
  • Member Training: The LASSO Regression Model
  • Steps to Take When Your Regression (or Other Statistical) Results Just Look…Wrong
  • December Member Training: Missing Data

Member Training: Those Darn Ratios!

by TAF Support

Ratios are everywhere in statistics—coefficient of variation, hazard ratio, odds ratio, the list goes on. You see them reported in the literature and in your output.

You comment on them in your reports. You even (kinda) understand them. Or, maybe, not quite?

 

Please join Elaine Eisenbeisz as she presents an overview of the how and why of various ratios we use often in statistical practice.

[Read more…] about Member Training: Those Darn Ratios!

Tagged With: Coefficient of determination, Correlation, Hazard ratio, Likelihood ratio, odds ratio, ratio, relative risk, Variance inflation factor, variation

Related Posts

  • Member Training: Confusing Statistical Terms
  • Member Training: Interpretation of Effect Size Statistics
  • Member Training: Determining Levels of Measurement: What Lies Beneath the Surface
  • February Member Training: Choosing the Best Statistical Analysis

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This Month’s Statistically Speaking Live Training

  • February Member Training: Choosing the Best Statistical Analysis

Upcoming Workshops

  • Logistic Regression for Binary, Ordinal, and Multinomial Outcomes (May 2021)
  • Introduction to Generalized Linear Mixed Models (May 2021)

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