--- layout: null --- UCLA OARC Statistical Seminar Map — MKT 397 Resource

← MKT 397

Seminar Map Learning Resource

Statistical Methods Reference

UCLA OARC Seminar Map

60+ free statistical seminars from UCLA's Office of Advanced Research Computing, organized by software and topic. ★ marks seminars directly relevant to MKT 397 coursework and thesis research.

Original OARC Page Upcoming Live Workshops Free Statistical Consulting

R

25

Introduction to R

Setup, dplyr, ggplot2, RMarkdown basics

R Data Management

Data wrangling & manipulation

R Markdown Basics

Reproducible reports

Introduction to ggplot2

Grammar of graphics & data visualization

Intro to Linear Regression in R

OLS regression fundamentals

Introduction to Regression in R

Comprehensive regression overview

Decomposing, Probing & Plotting Interactions

Interaction effects & moderation analysis

Analysis & Visualization of Interactions in R

Updated interaction analysis methods

Survey Data Analysis with R

Complex survey designs & weighted analysis

Survey Data Analysis with R 4.5.1

Updated 2025 version

Intro to Survival Analysis in R

Kaplan-Meier, Cox regression

Repeated Measures Analysis in R

Within-subject designs

Latent Growth Models & Measurement Invariance

LGM + invariance testing in lavaan

Introduction to SEM in R with lavaan

Path analysis, CFA, full SEM

Confirmatory Factor Analysis with lavaan

CFA model specification & evaluation

Missing Data in R

Multiple imputation, missingness patterns

Introduction to R Programming

Functions, loops, control flow

Intro to Generalized Linear Regression

GLM family: logistic, Poisson, etc.

Beyond Logistic Regression in R

Multinomial, ordinal, extensions

Zero-Inflated & Hurdle Models

Advanced count data models

Output Tables in R

Publication-quality tables

Effect Sizes for Multilevel Models

Effect size calculation for HLM

Introduction to DAGs for Causal Inference

Directed acyclic graphs & causal reasoning

Covariate Selection: Good & Bad Controls

Avoiding collider bias & confounding

Machine Learning for Scientific Research

ML methods for researchers

Stata

14

Introduction to Stata 19.5

Introduction to Stata 16

Older version reference

Stata Data Management

Data wrangling & file handling

Regression with Stata

Linear regression implementation

Logistic Regression with Stata

Updated logistic regression

Beyond Binary Logistic Regression

Multinomial, ordinal, other link functions

Multiple Imputation in Stata 15

MI methods & implementation

Introduction to Survey Data Analysis

Sampling design, weights, svyset

Applied Survey Data Analysis (Stata 18)

Advanced survey methods

Survival Analysis Using Stata

Time-to-event analysis

Intro to Meta-analysis using Stata

Effect size pooling, forest plots

Introduction to Programming in Stata

Macros, loops, program writing

Decomposing & Plotting Interactions

Interaction effects in Stata

SAS

12

Introduction to SAS using OnDemand

Cloud-based SAS intro

Introduction to SAS 9.4

Classic desktop SAS

Programming Basics in SAS

DATA step, PROC fundamentals

Analyzing & Visualizing Interactions

Interaction effects & plots

Regression with SAS

PROC REG, linear models

Logistic Regression in SAS

Repeated Measures Analysis in SAS

Applied Survey Data Analysis

Complex survey procedures

Multiple Imputation in SAS

PROC MI, PROC MIANALYZE

Survival Analysis Using SAS

PROC LIFETEST, PROC PHREG

Using Arrays in SAS

Array processing

Introduction to SAS Macro Language

Macro variables & programs

SPSS

13

Introduction to SPSS

Point-and-click, v29

Introduction to Regression with SPSS

Linear regression basics

Mediation Models with PROCESS Macro

Hayes PROCESS, indirect effects, bootstrapping

Graphing Interactions Using PROCESS

Moderation visualization

Practical Introduction to Factor Analysis

EFA fundamentals, extraction & rotation

PCA and EFA with SPSS

PCA vs EFA, component extraction

SPSS Syntax, Part 1

SPSS Syntax, Part 2

Advanced syntax

SPSS Syntax Next Level

Advanced automation

Applied Survey Data Analysis (SPSS 29)

Complex samples module

Repeated Measures in SPSS

Within-subjects designs

Using the SPSS Mixed Command

Multilevel / hierarchical models

Graphics using SPSS

Charts & visualization

Mplus & Latent Variables

4

Introduction to Mplus

Syntax & model specification

Building Your Mplus Skills

Intermediate techniques

Mediation Analysis using Mplus

Indirect effects, path analysis

Practical Intro to Factor Analysis

Cross-listed from SPSS

Cross-Package & Methodology

8

Longitudinal Research: Present & Future

Singer & Willett — foundational methods

Longitudinal Data using MLM

HLM for repeated measures

Introduction to Survey Data Analysis

Cross-software survey methods

Advanced Topics in Survey Data

Complex designs & weighting

Introduction to Power Analysis

Sample size determination

Intermediate Power Analysis

Advanced Power Analysis

Power Simulations in R

Monte Carlo simulation

Special Topics

5

Deciphering Interactions in Logistic Regression

Log-odds scale interpretation

Regression Models with Count Data

Poisson, NB, zero-inflated

Statistical Writing

Reporting results, APA conventions

Accessing & Analyzing CHIS Data

California Health Interview Survey

Analyzing Online Questionnaire Results

Survey instrument analysis