Dale I. Foreman’s research while affiliated with Shenandoah University and other places

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Publications (2)


Nonparametric statistics. A step-by-step approach. 2nd ed
  • Article

January 2014

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158 Reads

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560 Citations

Gregory W. Corder

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Dale I. Foreman

Nonparametric Statistics for Non-Statisticians: A Step-By-Step Approach

January 2009

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1,095 Reads

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1,343 Citations

Objectives IntroductionThe Chi-Square Goodness-of-Fit TestThe Chi-Square Test for IndependenceThe Fisher Exact TestExamples from the LiteratureSummaryPractice QuestionsSolutions to Practice Questions

Citations (2)


... The small size of the sample was also another pretext to use the nonparametric test. A sample is deemed small if it is less than 30 which is the suggestion of two scholars mentioned in Corder and Foreman (2009). The two scholars are Pett (1997) andSalkind (2004).The assumptions which need to be met in order to apply the test are that the variables being continuous and the independence of observations in the sense that not one score of one participant is dependent on another participant (Russell, 2018). ...

Reference:

A Reader-Response Based Program to Teach Literature for Developing Reading Comprehension Skills and Literature Reading Attitude of Al-Azhar First-Year Secondary Students
Nonparametric Statistics for Non-Statisticians: A Step-By-Step Approach
  • Citing Article
  • January 2009

... In relation to this analysis, we determined the parameters that influence the NWP FWI and FFDI prediction the most (i.e., "feature importance"). This analysis involved computing the Spearman correlation (Corder et al. 2014) coefficient (as the data do not follow a normal distribution) between the differences in either the FWI or FFDI from reality (observed data) and the differences in selected meteorological parameters (air temperature maximum (T max ), relative humidity minimum (RH min ), precipitation, wind speed, and DF from reality). ...

Nonparametric statistics. A step-by-step approach. 2nd ed
  • Citing Article
  • January 2014