Research Methods for Behavioral Sciences - With MindTap
6th Edition
ISBN: 9781337754989
Author: GRAVETTER
Publisher: CENGAGE L
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Textbook Question
Chapter 10, Problem 15E
Although the cohort effect can be a serious problem for cross-sectional research, it is not a problem for longitudinal designs. Explain why not.
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Chapter 10 Solutions
Research Methods for Behavioral Sciences - With MindTap
Ch. 10.1 - Define, compare, and contrast the experimental,...Ch. 10.2 - Define a nonequivalent group design and identify...Ch. 10.2 - Explain how individual differences threaten the...Ch. 10.2 - Describe the two nonexperimental nonequivalent...Ch. 10.2 - Explain how a simple modification of the...Ch. 10.3 - Define a pre-post design and identify examples of...Ch. 10.3 - Identify the threats to internal validity for...Ch. 10.3 - Describe the nonexpenmental pretest-posttest...Ch. 10.3 - Explain how replacing the single observation...Ch. 10.4 - Define cross-sectional and longitudinal designs,...
Ch. 10.5 - Identify the statistical techniques that are...Ch. 10.5 - Explain how the terms quasi-independent variable...Ch. 10 - In addition to the key words, you should also be...Ch. 10 - Explain the distinction between experimental and...Ch. 10 - Why are studies that examine the effects of aging...Ch. 10 - Explain why we can be more confident about causal...Ch. 10 - Give an example of a situation (aside from gender)...Ch. 10 - Mueller and Oppenheimer (2014) conducted a series...Ch. 10 - A researcher measures personality characteristics...Ch. 10 - A researcher wants to describe the effectiveness...Ch. 10 - Explain how the pretest helps minimize the threat...Ch. 10 - Describe the basic characteristics of a pre-post...Ch. 10 - To evaluate the effectiveness of a new television...Ch. 10 - What characteristic differentiates a pretest-post...Ch. 10 - Explain how a time-series design minimizes most...Ch. 10 - A researcher wants to describe how fine motor...Ch. 10 - Although the cohort effect can be a serious...Ch. 10 - Identify the appropriate statistical test for each...Ch. 10 - The college offers all students an optional...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- How should we analyze the data?”arrow_forwardDescribe a hypothetical study for which multiple regression with more than two predictor variables would be an appropriate analysis. Your description should include one dependent variable and three or more predictors.arrow_forwardA survey is conducted to understand the relationship between income and job satisfaction, what is the dependent variable in this scenario?arrow_forward
- Aside from looking at how high or how low the class standings are, Prof. Juan is also interested in knowing if student performance varies significantly. This is not necessarily a bad indicator. In fact, variation in student performance may reflect the discriminatory ability of course assessments. In the past (face-to-face set-up), it is common to encounter some extreme class standings and disparities in the scores. Prof. Juan thinks this is not the case now and that the variance of class standings is less than the usual, 100 squared points. Recall from No. 1 that normality assumption on class standings was satisfied. Using the chi-squared test for variance with a p-value equal to 2.095e-12, it can be said that there is ________ evidence that the variance of class standings is ______ 100 squared points. This may indicate the_________discriminatory power of the assessments in Prof. Juan’s course materials.arrow_forwardAside from looking at how high or how low the class standings are, Prof. Juan is also interested in knowing if student performance varies significantly. This is not necessarily a bad indicator. In fact, variation in student performance may reflect the discriminatory ability of course assessments. In the past (face-to-face set-up), it is common to encounter some extreme class standings and disparities in the scores. Prof. Juan thinks this is not the case now and that the variance of class standings is less than the usual, 100 squared points. Below is the R Commander output to help clarify Prof. Juan's hypothesis. R COMMANDER OUTPUT One sample Chi-squared test for variance data: CLASS STDG X-squared = alternative hypothesis: true variance is less than 100 7.7585, df = 49, p-value = 2.095e-12arrow_forward
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