2012
DOI: 10.4135/9781452240596
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Using Statistics to Make Educational Decisions

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Cited by 12 publications
(18 citation statements)
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“…First, the variables involved in the multiple regressions seemed to demonstrate only small departures from normality. Except for spring achievement, the skewness and kurtosis values fell within a recommended threshold of -1 to +1 (Tanner, 2012). Second, the indices of tolerance Downloaded by [Flinders University of South Australia] at 23:18 04 February 2015 and variance inflation factor were assessed to detect potential multicollinearity problems.…”
Section: Descriptive and Correlational Analysesmentioning
confidence: 99%
“…First, the variables involved in the multiple regressions seemed to demonstrate only small departures from normality. Except for spring achievement, the skewness and kurtosis values fell within a recommended threshold of -1 to +1 (Tanner, 2012). Second, the indices of tolerance Downloaded by [Flinders University of South Australia] at 23:18 04 February 2015 and variance inflation factor were assessed to detect potential multicollinearity problems.…”
Section: Descriptive and Correlational Analysesmentioning
confidence: 99%
“…The authors used a Wilcoxon signed-rank test to analyze the difference between the participants' responses before and after participation in SoTL. Researchers use a Wilcoxon signed-rank test to study the same population at two different times-before and after an event has occurred (Field, 2013;Tanner, 2012). When analyzing the results from the Wilcoxon signed-rank test, the authors reviewed the z-scores, mean ranking, statistical significance, and effect size (Field, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…The standard error of the computed value of B is called SEB (Creswell, 2012). variable and independent (predictor) variables (Tanner, 2012). "R 2 is the proportion of either variable explained by the other" (Tanner, 2012, p. 272).…”
Section: Results Of Multiple Regressionmentioning
confidence: 99%
“…"R 2 is the proportion of either variable explained by the other" (Tanner, 2012, p. 272). The Adjusted R 2 is a modification of R 2 that adjusts for the number of explanatory terms in a model (Tanner, 2012).…”
Section: Results Of Multiple Regressionmentioning
confidence: 99%