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Blog Posts

The Four Models You Meet in Structural Equation Modeling

A multiple regression model could be conceptualized using Structural Equation Model path diagrams. That's the simplest SEM you can create, but its ... Continue Reading

Member Training: A Gentle Introduction to Bootstrapping

Bootstrapping is a methodology derived by Bradley Efron in the 1980s that provides a reasonable approximation to the sampling distribution of various ... Continue Reading

Exogenous and Endogenous Variables in Structural Equation Modeling

In most regression models, there is one response variable and one or more predictors. From the model’s point of view, it doesn’t matter if those ... Continue Reading

Correlated Errors in Confirmatory Factor Analysis

Latent constructs, such as liberalism or conservatism, are theoretical and cannot be measured directly. But we can represent the latent construct ... Continue Reading

Member Training: Assumptions of Linear Models

What are the assumptions of linear models? If you compare two lists of assumptions, most of the time they're not the same. ... Continue Reading

When Linear Models Don’t Fit Your Data, Now What?

When your dependent variable is not continuous, unbounded, and measured on an interval or ratio scale, linear models don't fit. The data just will not ... Continue Reading

What Is Specification Error in Statistical Models?

When we think about model assumptions, we tend to focus on assumptions like independence, normality, and constant variance. The other big assumption, ... Continue Reading

Member Training: Analyzing Pre-Post Data

Recommendations on how to analyze pre-post data can vary. Typical recommendations include regression analysis or matched pairs analysis for within ... Continue Reading

The Difference Between an Odds Ratio and a Predicted Odds

When interpreting the results of a regression model, the first step is to look at the regression coefficients. Each term in the model has one. And ... Continue Reading

Measures of Model Fit for Linear Regression Models

A well-fitting regression model results in predicted values close to the observed data values. The mean model, which uses the mean for every ... Continue Reading

Member Training: Introduction to SPSS Software Tutorial

In this 10-part tutorial, you will learn how to get started using SPSS for data preparation, analysis, and graphing. This tutorial will give you the ... Continue Reading

Three Principles of Experimental Designs

If you analyze non-experimental data, is it helpful to understand experimental design principles? Yes, absolutely! Understanding experimental ... Continue Reading

SPSS Syntax 101

You may have heard that using SPSS Syntax is more efficient, gives you more control, and ultimately saves you time and frustration.  They're all ... Continue Reading

Member Training: Analysis of Means

Analysis of Means (ANOM) is an underappreciated methodology that has relevance to quality control and institutional comparisons. ... Continue Reading

Best Practices for Organizing your Data Analysis

There is a lot of skill needed to perform good data analyses. It is not just about statistical knowledge (though more statistical knowledge is always ... Continue Reading

An Example of Specifying Within-Subjects Factors in Repeated Measures

Some repeated measures designs make it quite challenging to  specify within-subjects factors. Especially difficult is when the design contains two ... Continue Reading

Member Training: Interrupted Time Series

Interrupted time series analysis is a useful and specialized tool for understanding the impact of a change in circumstances on a long-term trend. The ... Continue Reading

Three Habits in Data Analysis That Feel Efficient, Yet are Not

It’s easy to develop bad habits in data analysis. When you're new to it, you just don’t have enough experience to realize that what feels like ... Continue Reading

Linear Regression Analysis – 3 Common Causes of Multicollinearity and What Do to About Them

Multicollinearity in regression is one of those issues that strikes fear into the hearts of researchers. You've heard about its dangers in statistics ... Continue Reading

Member Training: Heterogeneity in Meta-analysis

Meta-analysis allows us to synthesize the results of separate studies. The goal is to assess the mean effect size and also heterogeneity - how much ... Continue Reading

Other Pages

Structural Equation Modeling

Statistically Speaking Trainings Introduction to Structural Equation Modeling Model Fit Statistics in Structural Equation Modeling ... Continue Reading

Our Programs

The Analysis Factor is on a mission to make quality applied statistical support accessible and affordable. We do this with the following ... Continue Reading

Online Workshops

Currently Enrolling Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models Instructor: Jeff Meyer Stage: 3, ... Continue Reading

Fundamental Statistics

Online Workshops Introduction to R: A Step-by-Step Approach to the Fundamentals ... Continue Reading

Data Analysis Practice and Skills

These Skills span all four Stages, but most of them need to be honed at Stages 1 and 2 The Craft of Statistical Analysis Free Webinars The 13 ... Continue Reading

Statistical Consulting Services

Hourly Consulting For when you need guidance and advice for a statistical plan or analysis. Perfect if you have: A need for an advisor to help ... Continue Reading

Principal Component Analysis and Factor Analysis

The Craft of Statistical Analysis Webinars Principal Component Analysis Statistically Speaking Member Trainings Confirmatory Factor ... Continue Reading

Survival Analysis and Event History Analysis

Statistically Speaking Trainings An Introduction to Kaplan-Meier Curves Cox Regression Discrete Time Event History Analysis Types of ... Continue Reading

SPSS

SPSS is a widely used program for statistical analysis in social science. It is also used by market researchers, health researchers, survey companies, ... Continue Reading

Stata

Stata is an extremely robust and popular general statistical software program. The Analysis Factor has numerous resources about Stata, many of them ... Continue Reading

Complex Surveys & Sampling

Free Webinar Recordings Analysis of Complex Sample Surveys Made Simple Articles at The Analysis Factor What is a Complex Sample? Part 1: ... Continue Reading

Effect Size Statistics; Power and Sample Size Calculations; and Statistical Inference

The Craft of Statistical Analysis Effect Size Statistics Statistically Speaking Trainings An Overview of Effect Size Statistics and Why ... Continue Reading

R

The statistical programming language R is becoming a popular means for analyzing data. But it's not always easy to use. We have a number of resources ... Continue Reading

Count Regression Models

Like continuous variables, count variable are numerical.  So it seems you should be able to apply methods for continuous data to count data. After ... Continue Reading

Logistic Regression

 Online Workshops Logistic Regression for Binary, Ordinal, and Multinomial Outcomes The Craft of Statistical Analysis Binary, Ordinal, ... Continue Reading

Mixed and Multilevel Models

Online Workshops Analyzing Repeated Measures Data: ANOVA and Mixed Model Approaches Introduction to Generalized Linear Mixed Models The ... Continue Reading

Linear Regression

 Online Workshops Linear Models Interpreting (Even Tricky) Regression Coefficients The Craft of Statistical Analysis Free Webinars ... Continue Reading

Analysis of Variance and Covariance

 The Craft of Statistical Analysis Fixed and Random Factors in Mixed Models: What IS the difference? The 13 Steps to Running Any Statistical ... Continue Reading

Missing Data

I don't need to tell you, missing data stinks. After getting stuck on a big problem with missing data many years ago, I started studying what to do ... Continue Reading

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This Month’s Statistically Speaking Live Training

  • Member Training: A Gentle Introduction to Bootstrapping

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Getting Started with R
3 Overlooked Strengths of Structural Equation Modeling
4 Critical Steps in Building Linear Regression Models

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