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Stata

Member Training: Introduction to Stata Software Tutorial

by TAF Support 

In this 8-part tutorial, you will learn how to get started using Stata for data preparation, analysis, and graphing. This tutorial will give you the skills to start using Stata on your own. You will need a license to Stata and to have it installed before you begin.

[Read more…] about Member Training: Introduction to Stata Software Tutorial

Tagged With: Stata, Stata output, Statistical Software

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Statistical Software Access From Home

by Karen Grace-Martin  1 Comment

Of all the stressors you’ve got right now, accessing your statistical software from home shouldn’t be one of them. (You know, the one on your office computer).

We’ve gotten some updates from some statistical software companies on how they’re making it easier to access the software you have a license to or to extend a free trial while you’re working from home.

[Read more…] about Statistical Software Access From Home

Tagged With: MPlus, R, SAS, SPSS, Stata, Statistical Software

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Member Training: What’s the Best Statistical Package for You?

by guest contributer 

Choosing statistical software is part of The Fundamentals of Statistical Skill and is necessary to learning a second software (something we recommend to anyone progressing from Stage 2 to Stage 3 and beyond).

You have many choices for software to analyze your data: R, SAS, SPSS, and Stata, among others. They are all quite good, but each has its own unique strengths and weaknesses.

[Read more…] about Member Training: What’s the Best Statistical Package for You?

Tagged With: AMOS, JMP, Jupyter, Linux, MPlus, python, R, S, SAS, SPSS, SQL, Stata, Statistical Software

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Interpreting Interactions in Linear Regression: When SPSS and Stata Disagree, Which is Right?

by Jeff Meyer  Leave a Comment

Sometimes what is most tricky about understanding your regression output is knowing exactly what your software is presenting to you.

Here’s a great example of what looks like two completely different model results from SPSS and Stata that in reality, agree.

The Model

I ran a linear model regressing “physical composite score” on education and “mental composite score”.

The outcome variable, physical composite score, is a measurement of one’s physical well-being.   The predictor “education” is categorical with four categories.  The other predictor, mental composite score, is continuous and measures one’s mental well-being.

I am interested in determining whether the association between physical composite score and mental composite score is different among the four levels of education. To determine this I included an interaction between mental composite score and education.

The SPSS Regression Output

Here is the result of the regression using SPSS:

[Read more…] about Interpreting Interactions in Linear Regression: When SPSS and Stata Disagree, Which is Right?

Tagged With: dummy coding, Interactions in Regression, Interpreting Interactions, interpreting regression coefficients, slopes

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Tricks for Using Word to Make Statistical Syntax Easier

by Karen Grace-Martin  2 Comments

We’ve talked a lot around here about the reasons to use syntax — not only menus — in your statistical analyses.

Regardless of which software you use, the syntax file is pretty much always a text file. This is true for R, SPSS, SAS, Stata — just about all of them.

This is important because it means you can use an unlikely tool to help you code: Microsoft Word.

I know what you’re thinking. Word? Really?

Yep, it’s true. Essentially it’s because Word has much better Search-and-Replace options than your stat software’s editor.

Here are a couple features of Word’s search-and-replace that I use to help me code faster:

[Read more…] about Tricks for Using Word to Make Statistical Syntax Easier

Tagged With: microsoft word, R, SAS, search and replace, SPSS, Stata, statistical syntax

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Creating Graphs in Stata: From Percentiles to Observe Trends (Part 2)

by Jeff Meyer  2 Comments

by Jeff Meyer, MPA, MBA

In a previous post we discussed the difficulties of spotting meaningful information when we work with a large panel data set.

Observing the data collapsed into groups, such as quartiles or deciles, is one approach to tackling this challenging task.  We showed how this can be easily done in Stata using just 10 lines of code.

As promised, we will now show you how to graph the collapsed data. [Read more…] about Creating Graphs in Stata: From Percentiles to Observe Trends (Part 2)

Tagged With: collapsed data, graphs, long, percentiles, Stata, trends, wide

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