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Applying What You Know

Applying What You Know

Questions 1-5 relate to the following data sets for Chapter 12: ch12.independent.samples.data and ch12.dependent.samples.data.

The first data set contains 24 observations of students' reading scores and grade point averages. Gender is coded as '0' for females and a '1' for males. A variable called "PASS" reflects whether the student passed (1) or failed (0) a performance assessment. A variable called "GROUP" reflects three levels of the treatment where 1 and 2 are experimental and 3 is a control.

The second data set contains 12 observations of students' scores on a first (TEST1) and second (TEST2) test. Gender is coded as a '0' for females and a '1' for males. Final grade point averages are included as GPA.

SPSS syntax and output files for all of the procedures can be found in the Statistics Module. They are labeled ch12.essay.independent.syntax, ch12.essay.independent.output, ch12.essay.dependent.syntax, and ch12.essay.dependent.output respectively.

This activity contains 6 questions.

Using the data set for independent samples, compute a t test comparing the reading scores of males and females.

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Using the data set for dependent samples, compute a t test to compare the mean scores from Test 1 with those from Test 2.

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Using the data set for independent samples, compute an ANCOVA comparing GPAs across all three groups.

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Using the data set for independent samples, compute a post-hoc analysis for the ANOVA results found in Question 3.

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Using the data set for independent samples, compute a two-dimensional chi-square ascertaining equivalence of the proportions of males and females passing, regardless of treatment.

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Discuss the nine steps involved in inferentially testing the differences between mean scores for the two groups of students exposed to different instructional strategies.

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