Upcoming Workshops, Summer 2022
SPSS Syntax to the Next Level, Tuesday, August 23 from 1 to 4 p.m. PDT via Zoom
This workshop will focus mostly on data management in SPSS in a wide variety of settings. Examples will include the creation of new variables using different commands, the use of scratch variables, loops and the output management system (OMS).
Register here: https://ucla.zoom.us/meeting/register/tJEkcOqgrDMiG9TzxoV-ztFTu06zxU8LVdwt
The workshop notes will be posted soon.
Beyond Binary Logistic Regression in R, Tuesday, August 30 from 1 to 4 p.m. PDT via Zoom
This workshop covers the statistical analysis of categorical outcomes with more than two categories, specifically ordinal logistic and multinomial logistic regression in R.
Register here: https://ucla.zoom.us/meeting/register/tJYtce6upz0sHtBBLmktmWI3YcsoIqFyMFcA
The workshop notes will be posted soon.
Statistical Significance, False Positives, and Flexibility in Data Analysis (Researcher Degrees of Freedom), Tuesday, September 6 from 1 to 4 p.m. PDT via Zoom
This workshop is a discussion of the important article “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant” by Simmons, Nelson and Simonsohn (2012), which discusses how seemingly benign decisions during data collection and analysis, or researcher degrees of freedom, make false positives much more likely. Their simulations show how a combination of a few of these decisions can increase the false-positive rate to above 50%. When researcher degrees of freedom are not disclosed in the reporting of the study, reported p-values are not reflective of the flexibility required to achieve those results and will tend to be overconfident. Solutions for both researchers and journal reviewers will be proposed.
Register here: https://ucla.zoom.us/meeting/register/tJ0sfumqqTwuE9TxlXJ5Eim1GfBnLt8hX6Y1
The workshop notes will be posted soon.
Past Classes and Workshops Available Online
- Introduction to Stata 16
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 15
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Advanced Topics in Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Meta-analysis using Stata
- Introduction to Programming in Stata
- Decomposing, Probing, and Plotting Interactions in Stata
- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language
- Introduction to SPSS (point-and-click and syntax)
- Introduction to Regression with SPSS
- Introduction to Mediation Models with the PROCESS macro in SPSS
- Graphing Interactions Using the PROCESS Macro in SPSS
- A Practical Introduction to Factor Analysis
- Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS
Mplus and Latent Variable Analysis
- Latent Growth Models (LGM) and Measurement Invariance with R in lavaan
- Introduction to Structural Equation Modeling (SEM) in R with lavaan
- Confirmatory Factor Analysis with in R with lavaan
- Decomposing, Probing and Plotting Interactions in R
- Introduction to R
- R Markdown Basics
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R
- Introduction to Regression in R
- Survey Data Analysis with R
- Introduction to Survival Analysis in R
Longitudinal Data Analysis
- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling
Power Analysis
- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing
Other