Archive for May, 2011

Statistics: On Multiple Regression

For the final installment in this series on introductory statistics for the social sciences, Kyle T. begins discussing multiple regression, a statistical test and topic that can be subject to much more advanced investigation by those students who are interested in learning more about this subject. In short, multiple regression extends regression in a way similar to how factorial AnoVa extends AnoVa; multiple regression allows prediction based on a number of different, independent variables.

We hope that you’ve enjoyed this overview of statistics, geared for social-scientific students and research, this Spring.  We’re excited now, leaving Memorial Weekend and entering June, to be transitioning into a new series, geared for premedical students, preparing for the MCAT this Summer. Stay tuned, eager minds; the Veritas video series will return anon!

Warmly yours,

The Veritas Team

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By admin | Tuesday, May 31st, 2011 | No Comments »

Statistics: On Regression

As promised, this week Kyle T. addresses regression, a more complex correlation model that does allow for interpretations of causality.  However, despite its relative complexity, regression is still just, as Kyle says, “glorified slope-intercept”! Following this logic, you’ll be up and running these analyses in no time.

Hoping you’re enjoying the Spring!

The Veritas Team

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By admin | Tuesday, May 24th, 2011 | No Comments »

Statistics: On Correlation

Robust like the non-parametric statistics that Kyle T. discussed last week, correlational analyses, Kyle’s topic this week, provide the raw materials for the much vaunted regressive analyses, his topic next week.  In essence, as Kyle explains, correlations generally assess how two sets of patterns of data line up next to one another; and, as he emphasizes, however they line up does not say anything about however they may arrive in that relationship: Correlation does not describe causality.

However, the two are related; to learn how correlation and causality do connect, be sure to check back in on our next installment in this series: Regression.

Warmly yours,

The Veritas Team

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By admin | Tuesday, May 17th, 2011 | No Comments »

Statistics: On Non-Parametric Statistics

This week Kyle T. addresses the other major type of statistics: non-parametric statistics.  As he explains, non-parametrics allow for more robust testing than parametrics, since only non-parametrics can test with non-normal distributions and with ordinal (or less) dependent variables.  However, as he adds, non-parametrics’ robustness is counterbalanced by their loss of statistical power; the “collapse” of levels of granularity or fineness within the information gathered about the groups being tested eliminates much of the incisiveness of the tests’ results.

Next up: Correlation!

Warmly yours,

The Veritas Team

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By admin | Tuesday, May 10th, 2011 | No Comments »

Statistics: On Factorial AnoVa

This week Kyle T. expands on the basic AnoVa that he’s presented over the past two weeks and shows how it may be used to test groups that differ one more than one categorical variable. This expansion is called the Factorial AnoVa and can be used in between-subjects, within-subjects, and mixed research designs.

Next week: Non-Parametric Statistics!

Statistically yours,
The Veritas Team

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By admin | Tuesday, May 3rd, 2011 | No Comments »
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