Conducting a Confirmatory Factor Analysis in Stata

Описание: 【Ｏｎｌｉｎｅ　Ｃｏｕｒｓｅｓ】
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This video provides a step-by-step guide to conducting a Confirmatory Factor Analysis (CFA) in Stata. We introduce the sem command and explain the syntax for a measurement model. The models are estimated and post estimation analysis based on goodness of fir measures is conducted. If the RMSEA is larger than 0.05 and the CFI is below 0.95, adding covariances between error terms can be beneficial. To identify the most promising covariances to add, we calculate the Modification Index (MI). Examples refer to our paper "Defining and measuring financial inclusion: A systematic review and confirmatory factor analysis" (see link on GitHub).

All the material, including slides, data, and the Stata code, is available on GitHub (see Channel pages for a link).

Chapters
0:00 How to estimate a CFA in Stata?
0:29 Illustration of Model
1:03 Model Fit
2:05 Modification Index
2:39 Advanced Topics in SEM
3:06 Data on Financial Inclusion
4:06 The sem Command
6:49 Post Estimation Analysis

About the course
This course offers a complete introduction to Data Science. You do not have to have any background in statistics, mathematics or the use of software (Stata). We will cover a wide range of topics, including (1) Introduction to statistical models and Stata, (2) Exploring data, (3) Regression analysis, (4) Post estimation analysis, (5) Analysing panel data, (6) Binary choice models, (7) Model specification, and (8) Measuring the immeasurable: CFA (confirmatory factor analysis) and SEM (structural equation models).

The academic version of this course was developed using the title “Analysing Qualitative and Quantitative Data” at SOAS University of London (2015-2019). A much more applied version was created for HMRC and delivered from 2012 to 2015. This version is a very applied and hands-on experience in data science – modified for YouTube.

The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages including Python, Stata, and C++ to tackle problems and for fun.

Hashtags
#datascience #dataanalytics #stata