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Problems and Exercises I
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Data Analysis and Interpretation: Getting to Know the Data; Summarizing the Data; Confirming What the Data Tell Us.

Read the research scenario and then answer the questions based on what you have learned in Chapter 12.

Scenario:

An industrial-organizational psychologist is in charge of evaluating the effect of employee training procedures aimed at increasing the efficiency of processing client inquiries at an international company. This company receives many inquiries about its products and services over the telephone, via e-mail, and through regular mail. There is a multi-step process for handling these inquiries, the details of which need not concern us. Twenty employees are identified and randomly assigned in equal numbers (n = 10) to two different training conditions (A and B). The dependent measure is number of inquiries processed correctly by each employee in a 72-hour work period following the week-long training. Data are collected from all 20 participants.



1

What statistical procedure is recommended first?
2

What descriptive statistics should the researcher obtain in order to summarize the data?
3

What is the researcher looking for when the two means are obtained?
4

What is a recommended measure of effect size in this situation?
5

Assume the researcher found that Cohen's d was .88. What might be concluded?
6

To help confirm what the data are showing, the researcher seeks evidence for how well the difference between the sample means in the two training conditions represents the true difference between the population means. What might be recommended at this point?
7

The researcher finds that the .95 confidence interval for the difference between independent means contains zero. What should the researcher conclude?





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