Karen Grace-Martin

Random Intercept and Random Slope Models Webinar

January 21st, 2011 by

This page is out-of-date.

Please go to the newer version of the page: Random Intercept and Random Slope Models COSA webinar.

 


How to Calculate Effect Size Statistics

January 13th, 2011 by

There are many effect size statistics for ANOVA and regression, and as you may have noticed, journal editors are now requiring you include one.

Unfortunately, the one your editor wants or is the one most appropriate to your research may not be the one your software makes available (SPSS, for example, reports Partial Eta Squared only, although it labels it Eta Squared in early versions).

Luckily, all the effect size measures are relatively easy to calculate from information in the ANOVA table on your output.  Here are a few common ones: (more…)


Adding Statistical Equations to Word using Microsoft Equation Editor

December 16th, 2010 by

Have you ever tried to type a complex fraction, like a logit link, using Word, by lining up two rows of type?

Or a regression model equation?  It’s possible, but it takes forever to subscript all those i’s and change the font of all your B’s to β’s.

I used to, and it’s not easy.

What saved me, years ago, is the Microsoft Equation Editor.

I just mentioned it to a client the other day.  She was thrilled at the ease and flexibility of it, so I thought I’d better share this.

So, to insert a beautiful equation into Word, Powerpoint, or whatever (more…)


The Assumptions of Linear Models: Explicit and Implicit

November 29th, 2010 by

If you’ve compared two textbooks on linear models, chances are, you’ve seen two different lists of assumptions.Stage 2

I’ve spent a lot of time trying to get to the bottom of this, and I think it comes down to a few things.

1. There are four assumptions that are explicitly stated along with the model, and some authors stop there.

2. Some authors are writing for introductory classes, and rightfully so, don’t want to confuse students with too many abstract, and sometimes untestable, (more…)


Confusing Statistical Terms #5: Covariate

November 8th, 2010 by

Stage 2Covariate is a tricky term in a different way than hierarchical or beta, which have completely different meanings in different contexts.

Covariate really has only one meaning, but it gets tricky because the meaning has different implications in different situations, and people use it in slightly different ways.  And these different ways of using the term have BIG implications for what your model means.

The most precise definition is its use in Analysis of Covariance, a type of General Linear Model in which the independent variables of interest are categorical, but you also need to adjust for the effect of an observed, continuous variable–the covariate.

In this context, the covariate is always continuous, never the key independent variable, (more…)


Variable Formats in SPSS Syntax

October 21st, 2010 by

One of the places that SPSS syntax excels at efficiency is when you’re creating new variables.  This is especially true when you’re creating a LOT of new variables, but even one or two can be quicker if you write the syntax code instead of menus.

And just as importantly, you’ll have documentation for exactly how you created them. (You think you’ll remember now, but 75 new variables later, you’ll thank me).

So once you create a new variable, you should of course immediately assign a Variable Label, and if appropriate, Value Labels and Missing Data Codes using Syntax.

Another thing that helps keep your new variable clean and interpretable is to assign the format.  The default format is F8.2, which indicates a numerical value

You could go into the Variable View screen and manually change the Width and Decimals columns, which indicate how many characters go before and after (for numeric variables) the decimal point.

But why do all that when you can just use a single command to define multiple variables?

The syntax command is FORMATS.  Here is the command for some common formats:

FORMATS NumVar1 NumVar2 (F5.0)
/NumVar3 (F6.1)
/StringVar1 (A15).

You can see the FORMATS command is followed by the variable names, then the format in parentheses.

Numeric variables NumVar1 and Numvar2 will both get the same format: with 5 digits, and nothing after the decimal.

Numeric variable NumVar3 will have 6 digits total, with one after the decimal.

And string variable (i.e. its value contain letters) StringVar1 is 15 characters wide.

This will get you started, but you can get all the specifics in the FORMATS section of the  Command Syntax Reference, which is included in the SPSS help.

[Note: Edited explanation of F6.1 to be 6 digits total, not 6 digits before the decimal).