Module 9 Nonparametric tests.pdf - 1

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Chi-Square Goodness-of-Fit Test¨ Evaluates whether the proportions of individuals who fallinto categories are equal to hypothesized values¨ The variable can have two or more categories¨ The categories can have quantitative (one categoryreflects a higher value than another; e.g., Likert scaleresponses of Agree and Disagree) or qualitative grouping(e.g., course delivery method)¨ Note: The chi-square test does not recognize anyquantitative distinction among categories; it simplyassesses whether the proportions associated with thecategories are significantly different from thehypothesized values
Chi-Square Goodness-of-Fit Test(contd)} When conducting a chi-square test in SPSS, you must firstspecify the values for the hypothesized proportions} The proportions can be} Equal (proportion = 1/ number of categories)} Not equal (determined based on previous research)
Page 1 and 2: Module 9: Nonparametric TestsThe Ap
Page 3 and 4: What Are Nonparametric Tests?} Nonp
Page 5 and 6: Restrictions} Nonparametric tests d
Page 7: Chi-Square Test} Used to test varia
Page 11 and 12: Contingency Tables} Helps arrange t
Page 13 and 14: Goodness-of-Fit Example (contd)} St
Page 15 and 16: Goodness-of-Fit Example (contd)
Page 17 and 18: Goodness-of-Fit Example (contd)} Us
Page 19 and 20: Chi-Square Test of Independence} A
Page 21 and 22: Test of Independence Example (contd
Page 29 and 30: Nonparametric Tests for Nominal Dat
Page 31 and 32: Module 9 Summary} Nonparametric Tes
Page 33: Statistics PD Course Modules} Modul

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