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
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Blog Posts
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