• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
The Analysis Factor

The Analysis Factor

Statistical Consulting, Resources, and Statistics Workshops for Researchers

  • Home
  • About
    • Our Programs
    • Our Team
    • Our Core Values
    • Our Privacy Policy
    • Employment
    • Guest Instructors
  • Membership
    • Statistically Speaking Membership Program
    • Login
  • Workshops
    • Online Workshops
    • Login
  • Consulting
    • Statistical Consulting Services
    • Login
  • Free Webinars
  • Contact
  • Login

Stage 4: Advanced Models

Stage 4 is the really advanced stuff. You will very likely need to learn only a small part of the topics in this Stage. Maybe one or two of the topics, but unless you’re a statistician, you won’t need more than that.

That’s a good thing. We’ve now hit the top stage and these topics are hard.

Stage 4 is a little different than Stage 3 in that you could learn anything at Stage 3 if you’d already mastered Linear Models and had good data analysis and software skills. None of them required anything else.

But the topics in Stage 4 require knowing multiple topics in Stage 3. Sometimes they are combinations of two Stage 3 topics. Sometimes they’re just very complicated situations that require pulling in statistical theory.

Very much like Stage 3, topics at Stage 4 need to be tackled all at once–knowledge, data analysis, software.

But they also tend to be bigger topics. You may be able to learn just the beginnings of one of these topics, complete the analysis you need, and be on your way. You don’t need to master each one top-to-bottom.

 

 1. Statistical Knowledge: Tests and Concepts

2. Data Analysis Skills
3. Software Skills

Stage 4 Topics


Each link is a page of resources or a webinar on the topic.
  • Structural Equation Modeling

  • Generalized Linear Mixed Models

  • Zero Inflated Models

  • Latent Class Analysis

  • Propensity Score Matching

  • Growth Mixture Models

  • Latent Growth Curve Analysis

  • Mediation with non-normal variables

Primary Sidebar

This Month’s Statistically Speaking Live Training

  • January Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

Upcoming Workshops

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

Read Our Book



Data Analysis with SPSS
(4th Edition)

by Stephen Sweet and
Karen Grace-Martin

Statistical Resources by Topic

  • Fundamental Statistics
  • Effect Size Statistics, Power, and Sample Size Calculations
  • Analysis of Variance and Covariance
  • Linear Regression
  • Complex Surveys & Sampling
  • Count Regression Models
  • Logistic Regression
  • Missing Data
  • Mixed and Multilevel Models
  • Principal Component Analysis and Factor Analysis
  • Structural Equation Modeling
  • Survival Analysis and Event History Analysis
  • Data Analysis Practice and Skills
  • R
  • SPSS
  • Stata

Copyright © 2008–2021 The Analysis Factor, LLC. All rights reserved.
877-272-8096   Contact Us

The Analysis Factor uses cookies to ensure that we give you the best experience of our website. If you continue we assume that you consent to receive cookies on all websites from The Analysis Factor.
Continue Privacy Policy
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.