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Chapter 7: Analyzing Dichotomously Scored Items for Selecting the Most Proficient Test Takers

Chapter 7: Analyzing Dichotomously Scored Items for Selecting the Most Proficient Test Takers

pp. 95-118

Authors

, Iowa State University
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Extract

In Chapter 7, the author introduces both content analysis and basic statistical analysis to help evaluate the effectiveness of assessments. The focus of the chapter is on guidelines for creating and evaluating reading and listening inputs and selected response item types, particularly multiple-choice items that accompany these inputs. The author guides readers through detailed evaluations of reading passages and accompanying multiple-choice items that need major revisions. The author discusses generative artificial intelligence as an aid for drafting inputs and creating items and includes an appendix which guides readers through the use of ChatGPT for this purpose. The author also introduces test-level statistics, including minimum, maximum, range, mean, variance, standard deviation, skewness, and kurtosis. The author shows how to calculate these statistics for an actual grammar tense test and includes an appendix with detailed guidelines for conducting these analyses using Excel software.

Keywords

  • genre
  • descriptive statistics
  • content analysis
  • mean
  • standard deviation
  • skewness
  • kurtosis
  • histogram
  • generative artificial intelligence

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