How to get the most out of tutoring

Tutoring is as old as education itself.  Since antiquity students have benefitted from the value of one-on-one academic mentorship.  With the growing academic achievement gap, tutoring has gone from a luxury service to standard practice for most every subject, standardized test, or school application.  But how do you know if you are getting the most [...]

Read the rest of this post » By Andrew | November 2nd, 2011 | No Comments »

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 [...]

Read the rest of this post » By admin | 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

Read the rest of this post » By admin | 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 [...]

Read the rest of this post » By admin | 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” [...]

Read the rest of this post » By admin | 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: [...]

Read the rest of this post » By admin | May 3rd, 2011 | No Comments »

Statistics: On Analysis of Variance (AnoVa – Part Two)

Wrapping up his explanation of the AnoVa, Kyle T. this week presents his third way of understanding the intention of the statistical test by graphically modelling distributions to be compared: By looking at distributions as representations, the comparison becomes clearer than the abstract concepts in consideration. See you in May! The Veritas Team

Read the rest of this post » By admin | April 26th, 2011 | No Comments »

Statistics: On Analysis of Variance (AnoVa – Part One)

This week, as promised, Kyle T. introduces the extension of the t-Test, the Analysis of Variance (AnoVa), meant for comparisons among more than two participant groups. His explanations of the AnoVa tie onto the heart of the test, discerning the variance within groups from the variance between groups; he turns to information theory for its [...]

Read the rest of this post » By admin | April 19th, 2011 | No Comments »

Statistics: On t-Testing (Part Two)

Continuing last week’s discussion of the t-test, Kyle T. describes the Paired or Dependent Samples t-Test and the ways in which it relates to its already presented sibling, the Independent Samples t-Test. Though this relationship is not sequential as have been the relationships between the other previously presented tests, the two tests nevertheless logically support [...]

Read the rest of this post » By admin | April 12th, 2011 | No Comments »

Statistics: On t-Testing (Part One)

Hey, statistics students and aspiring social scientists; it’s t-Test week! This week Kyle T. presents the basics of the t-test, the most foundational analysis in inferential statistics. Thus, this test and its consequential relatives will be the analyses that you conduct most often in your own research. Exciting! Happy April, The Veritas Team

Read the rest of this post » By admin | April 5th, 2011 | No Comments »
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