Exam 22: Analysis and Interpretation of Complex Research Questions

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The simplest mixed design is a two-factor design with repeated measures on the second factor.

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A researcher is interested in studying the effects of smoking and alcohol use on post-operative complications in the hospital. The criterion variable is categorical with only two levels (complications: Yes or No). Smoking is operationalized as number of packs smoked per week, and alcohol use is measured as number of alcoholic beverages consumed per week. What would be the appropriate complex statistic to use?

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In an ANOVA Source Table, the first thing to look for is significant interaction effects.

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The following is/are true for the gain score approach to analysis of a pretest-posttest design:

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A researcher uses a single-factor ANCOVA to analyze a pretest-posttest design. The between-groups IV has three levels. There is a significant F value. The researcher should:

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In an ANOVA Source Table, the first thing to look for is significant main effects.

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Different approaches to analyzing pretest-posttest data have their own disadvantages. Which of the following is a disadvantage of using single-factor ANOVA with gain scores?

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A researcher had two intact groups of students. The two groups were randomly assigned to either a treatment condition or a control group. Both groups of students complete measures at the pretest and again at the posttest. This is an example of what research approach:

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Why is it best practice to interpret the interaction effect first?

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Examples of complex associational analyses include:

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If a main effect is significant and there are two levels to the IV, a Tukey HSD should be performed to see if the means are significantly different.

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With mixed-factorial designs, the research approach is named after the highest approach.

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Significant interaction effects from a mixed ANOVA when the between-groups IV has more than two levels should be followed up with simple main effects analysis.

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With discriminant analysis, the dependent variable is continuous with multiple levels.

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A researcher is testing the effects of a new medication on two groups of asthmatics. Participants are randomly assigned to either a treatment group or a control group. The researcher is concerned about participants' ethnicity and adds ethnicity as a second IV. The overall research approach is called:

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A two-factor ANOVA and a mixed ANOVA use the same statistical approaches.

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When using a mixed ANOVA approach to analyze a pretest-posttest design, the interaction effect is the most meaningful information.

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The second IV added to a research design to control for error variance is usually an active IV.

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The appropriate statistic for the above study is:

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In a 4 × 2 factorial design, how many interaction effects are there?

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