## Member Training: Introduction to Structural Equation Modeling

Structural Equation Modeling (SEM) is a popular method to test hypothetical relationships between constructs in the social sciences. These constructs ... Continue Reading

## Member Training: Linear Regression in SPSS (Tutorial)

Regression is one of the most common analyses in statistics. Most of us learn it in grad school, and we learned it in a specific software. Maybe SPSS, ... Continue Reading

## Member Training: Coarsened Exact Matching, an Alternative to Propensity Score Matching

The objective for quasi-experimental designs is to establish cause and effect relationships between the dependent and independent variables. However, ... Continue Reading

## Member Training: Effective File and Process Management in Statistical Projects

Do you ever wish your data analysis project were a little more organized? ... Continue Reading

## Member Training: Interactions in Poisson and Logistic Regression – Part 2

Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions ... Continue Reading

## Member Training: Frailty Models

Most survival analysis models for time-to-event data, like Cox regression, assume independence. The survival time for one individual cannot influence ... Continue Reading

## Member Training: Group Comparisons

How do you know which method to use when you want to compare groups? ... Continue Reading

## Member Training: Operationalizing Research Questions

One of the hardest steps in any project is learning to ask the right research question! ... Continue Reading

## Member Training: Linear Model Assumption Violations: What’s Next?

What do you do if the assumptions of linear models are violated? ... Continue Reading

## Member Training: Exact and Randomization Tests

Exact and randomization tests are simple from a conceptual level and need fewer assumptions than traditional parametric tests. They do require ... Continue Reading

## Member Training: Interactions in Poisson and Logistic Regression

Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions ... Continue Reading

## Member Training: Using Macros, Loops, and Functions in Stata to Manage Your Data Software Tutorial

Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format. ... Continue Reading

## Member Training: Moderated Mediation, Not Mediated Moderation

Moderated mediation, also known as Conditional Process Modeling, is great tool for understanding one type of complex relationship among variables. ... Continue Reading

## Member Training: The Link Between ANOVA and Regression

If you’ve used much analysis of variance (ANOVA), you’ve probably heard that ANOVA is a special case of linear regression. Unless you’ve seen why, ... Continue Reading

## Member Training: Multinomial Logistic Regression

Multinomial logistic regression is an important type of categorical data analysis. Specifically, it's used when your response variable is nominal: ... Continue Reading

## Member Training: Centering

Centering variables is common practice in some areas, and rarely seen in others. That being the case, it isn’t always clear what are the reasons for ... Continue Reading

## Member Training: Translating Between Multilevel and Mixed Models

Multilevel and Mixed models are essentially the same analysis. But they use different vocabulary, different notation, and approach the analysis ... Continue Reading

## Member Training: Introduction to Stata Software Tutorial

In this 8-part tutorial, you will learn how to get started using Stata for data preparation, analysis, and graphing. This tutorial will give you the ... Continue Reading

## Member Training: Analyzing Likert Scale Data

Is it really ok to treat Likert items as continuous? And can you just decide to combine Likert items to make a scale? Likert-type data is extremely ... 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

## Structural Equation Modeling

structural equation modeling resources Listed below are workshops, trainings, and articles to help you learn Structural Equation Modeling (SEM). SEM ... Continue Reading

## Principal Component Analysis and Factor Analysis

principal component analysis and factor analysis resources Listed below are workshops, trainings, and articles to help you learn principal component ... Continue Reading

## Survival Analysis and Event History Analysis

survival analysis and event history analysis resources Listed below are workshops, trainings, and articles to help you learn survival analysis, ... Continue Reading

## Count Regression Models

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

## Logistic Regression

logistic regression resources Listed below are workshops, trainings, and articles to help you learn logistic regression. Logistic regression is an ... Continue Reading

## Mixed and Multilevel Models

mixed and multilevel models resources Listed below are workshops, trainings, and articles to help you learn Mixed, Hierarchical, and Multilevel ... Continue Reading

## Linear Regression

linear regression resources Listed below are workshops, trainings, and articles to help you learn linear regression. Widely used, this family of ... Continue Reading

## Analysis of Variance and Covariance

analysis of variance and covariance resources Listed below are workshops, trainings, and articles to help you learn Analysis of Variance (ANOVA) and ... Continue Reading

## Seminar Enrollment: Levels of Measurement and Types of Variables

Levels of Measurement and Types of Variables Training Seminar Understand the nuances in determining the types of variables you're working with and ... Continue Reading

## Seminar Enrollment: Types of Regression Models

Types of Regression Models: Training Seminar 18 Types of Regression Models — What They Are and When to Use Them Enroll Now! Linear, Logistic, ... Continue Reading

## Seminar Enrollment: Crossed and Nested Factors

Crossed and Nested Factors Training Seminar Understand the difference between crossed and nested factors in multilevel, mixed models, and ... Continue Reading

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

effect size statistics, power and sample calculations, and statistical inference Use these resources to learn with The Analysis Factor. Listed below ... Continue Reading

## Fundamental Statistics

resources for fundamental statistics Use the resources here to learn fundamental statistics with The Analysis Factor. Listed Below are our Workshop, ... Continue Reading

## Data Analysis Practice and Skills

Resources to improve your data analysis practice and skills As a data analyst, it's not enough to understand statistics or to be able to use the ... Continue Reading

## Complex Surveys & Sampling

complex surveys & sampling resources Listed below are workshops, trainings, and articles to help you learn about complex surveys. Complex surveys ... Continue Reading

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

effect size statistics, power and sample calculations, and statistical inference Listed below are our free webinars, Statistically Speaking ... Continue Reading