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Confusing Stats Terms Explained: Internal Consistency

July 8, 2013
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Confusing Stats Terms Explained: Internal Consistency

Related Content:Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)Confusing Stats Terms Explained: ResidualConfusing Stats Terms Explained: MulticollinearityConfusing Stats Terms Explained: Standard Deviation Internal consistency ...

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Confusing Stats Terms Explained: Internal Consistency

July 8, 2013
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Confusing Stats Terms Explained: Internal Consistency

Internal consistency refers to the general agreement between multiple items (often likert scale items) that make-up a composite score of a survey measurement of a given construct. This agreement is generally measured by the correlation between items. For example, a survey measure of depression may include many questions that each measure various aspects of depression, such as...

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R Is Not So Hard! A Tutorial, Part 4 (repost)

April 29, 2013
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The following is not a Stats Make Me Cry original, but rather something I came across and found very useful. The article demonstrates how to examine non-linear effects (e.g. quadratic effects) using a regression model in R. If you are interested in the...

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R Is Not So Hard! A Tutorial, Part 4 (repost)

April 29, 2013
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Part 3 we used the lm() command to perform least squares regressions. In Part 4 we will look at more advanced aspects of regression models and see what R has to offer. One way of checking for non-linearity in your data is to fit a polynomial model and check whether the polynomial model fits the data better than a linear model. Or you may wish to fit a quadratic or…

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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

April 22, 2013
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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

Heteroscedasticity is a hard word to pronounce, but it doesn't need to be a difficult concept to understand. Put simply, heteroscedasticity (also spelled heteroskedasticity) refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it. A scatterplot of these variables will often create a cone-like shape, as the scatter (or variability) of the dependent variable (DV)…

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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

April 22, 2013
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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

Heteroscedasticity is a hard word to pronounce, but it doesn't need to be a difficult concept to understand. Put simply, heteroscedasticity (also spelled heteroskedasticity) refers to the circumstance in which the variability of a variable is unequal a...

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Merry Christmas! ….or Happy Tuesday!

December 25, 2012
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Merry Christmas! If you don't celebrate Christmas, Happy Tuesday! I hope everyone's holidays are wonderful.

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How to Create APA Style Graphs and Then Teach SPSS to Do it Automatically!

December 18, 2012
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How to Create APA Style Graphs and Then Teach SPSS to Do it Automatically!

In the strictest sense, APA style discourages the use of color in graphics, stipulating that it be used only when it is "absolutely necessary". Consequently, most universities and dissertation committees also discourage (or downright forbid) the use of...

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How to Create APA Style Graphs and Then Teach SPSS to Do it Automatically!

December 18, 2012
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How to Create APA Style Graphs and Then Teach SPSS to Do it Automatically!

In the strictest sense, APA style discourages the use of color in graphics, stipulating that it be used only when it is "absolutely necessary". Consequently, most universities and dissertation committees also discourage (or downright forbid) the use of color graphics in dissertation manuscripts. Personally, i find this irritating, as I think most graphical representations of data can be made more clear with the appropriate use of color. However, I suppose…

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Wonderful "How-To" Resources for Learning Structural Equation Modeling (SEM) with AMOS

December 3, 2012
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Wonderful "How-To" Resources for Learning Structural Equation Modeling (SEM) with AMOS

Structural equation modeling (SEM) is a complex beast, and can be quite intimidating to someone trying to learn the basics. Fortunately, there are some great resources out there for learning! Unfortunately, I think a lot of beginners don't know what th...

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