## Concepts in Linear Regression to know before learning Multilevel Models

Are you learning Multilevel Models? Do you feel ready? Or in over your head? It's a very common analysis to need to use. I have to say, learning it ... Continue Reading

## The Difference between Standard Deviation and Standard Error

Standard deviation and standard error are statistical concepts you probably learned well enough in Intro Stats to pass the test.  Conceptually, you ... 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

## Mixed Models with Crossed Random Factors

When you hear about multilevel models or mixed models, you very often think of a nested design. Level 1 units nested in Level 2 units, which are in ... Continue Reading

## Issues in Coding Missing Values

There’s no mincing words here. Missing values can cause problems for every statistician. That’s true for a lot of reasons, but it can start with ... Continue Reading

## Six Common Types of Statistical Contrasts

When you learned analysis of variance (ANOVA), it’s likely that the emphasis was on the ANOVA table, with its Sums of Squares and F tests, followed by ... Continue Reading

## Getting Started with Stata Tutorial #3: the Graphics Menu

In part 2 of this series, we got started on the various menus in Stata. This post covers an important menu that you'll probably use often: the ... Continue Reading

## Member Training: Group Comparisons

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

## What is Analysis of Means?

The classic way to compare means in analysis of variance is examining pairwise differences in means after an F test.. It’s great for many problems, ... Continue Reading

## Getting Started with Stata Tutorial #2: Stata Menus

A great way to get started with Stata is using its menus. The first part of this Tutorial Series introduced you to Stata's windows.  You can now ... 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

## What is a Randomized Complete Block Design?

Designing experiments would always be simple if we could just randomly assign subjects to different treatment conditions with no other restrictions. ... Continue Reading

## Get Started with Stata Tutorial #1: How Stata Windows Work

So, you want to get started with Stata? Good choice! At The Analysis Factor we recommend first becoming proficient in one statistical software. ... 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

## Two Types of Effect Size Statistic: Standardized and Unstandardized

Effect size statistics are all the rage these days. Journal editors are demanding them. Committees won't pass dissertations without them. But ... Continue Reading

## The Effect Size: The Most Difficult Step in Calculating Sample Size Estimates

One of the most difficult steps in calculating sample size estimates is determining the smallest scientifically meaningful effect size. Here's the ... 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

## The Difference Between Clustered, Longitudinal, and Repeated Measures Data

What is the difference between Clustered, Longitudinal, and Repeated Measures Data?  You can use mixed models to analyze all of them. But the issues ... Continue Reading

## A Post-hoc Test for Kruskal-Wallis

If you’ve ever run a one-way analysis of variance (ANOVA), you’re familiar with post-hoc tests. The ANOVA omnibus test only tells you whether any ... 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

## 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

## 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

## Online Workshops

Currently Enrolling Analyzing Repeated Measures Data: ANOVA and Mixed Model Approaches Instructor: Karen Grace-Martin Stage: 3, ... 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

## 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 ... 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

## SPSS

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

## Stata

Stata resources Stata is an extremely robust and popular general statistical software program. The Analysis Factor has numerous resources about ... 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

## R

learn 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 ... 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

## Missing Data

missing data resources I don't need to tell you, missing data stinks. And frankly, it's in just about every data set. These days, though, there are ... Continue Reading