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PARTIAL CORRELATION (2014 EDITION)
An illustrated tutorial and introduction to partial correlation using SPSS, SAS, or Stata. Suitable for introductory graduate-level study. Partial correlation is the correlation of two variables while controlling for a third or more other variables. The technique is commonly used in "causal" modeling of small models (3 - 5 variables).
The 2014 edition updates the 2012 edition in four ways.:
* New, revised discussion and graphical illustration of suppression effects.
* Now covers Stata as well as SPSS and SAS
* Updates SAS syntax for recent version changes.
* Links to download datasets used in the text.
Below is the unformatted table of contents.
PARTIAL CORRELATION
Table of Contents
Overview5
Key Concepts and Terms6
Control variables6
Order of correlation6
Effects6
No effect6
Explanation7
Spurious correlation7
Partial explanation7
Suppression8
Control variables with partial correlation and regression11
Example data11
Types of controls12
Partial correlation method in SPSS12
Partial correlation method in SAS14
Partial correlation method in Stata16
Residual method18
Rate method20
Regression method24
Semi-partial (part) correlation27
How it works29
Why partial r is always larger than semi-partial r30
Assumptions30
Simple models30
Recursivity30
Linearity31
Additivity31
Data level31
Model specification31
Low multicollinearity31
Frequently Asked Questions31
SPSS gives me a choice of one-tailed and two-tailed tests. Which do I want?31
If partial correlation assumptions are met and measures are reliable and valid, does upholding a model through partial correlation analysis mean that the model is true?32
Is there any rule which can express the relation of the partial correlation to the original bivariate correlation (ex., is it always lower)?32
What do SAS partial correlation scatterplots look like?32
How is partial correlation computed?33
Why does SPSS tell me I have 0 cases and it cannot compute partial correlation?34
Can I use partial correlation for analysis of larger models?34
Is there a form of partial association for nominal and ordinal variables, analogous to partial r for interval variables?34
From statistical output for regression, how may we derive the significance of a partial correlation coefficient like rYX1.X2X3??36
Bibliography37
Pagecount: 40
- Sales Rank: #1276833 in eBooks
- Published on: 2012-09-02
- Released on: 2012-09-02
- Format: Kindle eBook
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