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Crunch Time

In: Nonparametric Statistics for Applied Research

Author

Listed:
  • Jared A. Linebach

    (Clearwater Christian College)

  • Brian P. Tesch

    (Suffolk University)

  • Lea M. Kovacsiss

Abstract

In this chapter, the team is greeted early in the morning by the governor himself. He is happy with the progress thus far but is in need of a completed final report within 72 hours so that he can present his political stance to his constituency. The team scrambles to consider their final research questions which lead them through the process of the final tests of difference. The research questions considered in this chapter are as follows: (1) For those who consistently report their post-release status, is their status significantly different across all time periods (i.e., current status, 30 days post-release, and 90 days post-release)? (2) Is the distribution of race/ethnicity of the offender comparable across offense type? (3) Is there a difference between participant’s income and meanness ratings? (4) Are minority ethnicities/races receiving higher General Aggression Scores? The team considers Cochran Q, Chi-Square r X k, Friedman’s ANOVA, and Kruskal-Wallis ANOVA to address these questions.

Suggested Citation

  • Jared A. Linebach & Brian P. Tesch & Lea M. Kovacsiss, 2014. "Crunch Time," Springer Books, in: Nonparametric Statistics for Applied Research, edition 127, chapter 0, pages 279-310, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-9041-8_12
    DOI: 10.1007/978-1-4614-9041-8_12
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