EBK RESEARCH METHODS FOR THE BEHAVIORAL
5th Edition
ISBN: 9780100546479
Author: Forzano
Publisher: YUZU
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Textbook Question
Chapter 10.3, Problem 9LO
Explain how replacing the single observation before and after treatment with a series of observations converts the pretest-posttest design into a quasi-experimental time-series design by minimizing threats to internal validity.
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Chapter 10 Solutions
EBK RESEARCH METHODS FOR THE BEHAVIORAL
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 - 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 - In this chapter, we described a study in which...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 - Prob. 12ECh. 10 - A researcher wants to describe how fine motor...Ch. 10 - Identify the appropriate statistical test for each...Ch. 10 - The college offers all students an optional...Ch. 10 - All of us have a tendency to categorize people...Ch. 10 - Prob. 2EACh. 10 - Prob. 3EA
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- Why would the following be conducted using a Simple Anova test? You work at an alcohol and substance abuse center and run a youth program. You want to determine which intervention works best to build self-esteem for youth in your program. Currently youth are in one of three intervention modes - (1) group counseling, (2) individual counseling and (3) a group and individual combo. Because of time constraints, you are only able to measure self-esteem at one point in time. You use a standardized multi item self-esteem scale to evaluate their level of self-esteem after 8 weeks of the intervention.arrow_forwardDiscuss the four assumptions of ANOVA.arrow_forwardWe use the results of our first step to calculate a test-statistic. Why is this important and how does it relate to the concept of z-score, What is a p-value? What role does it play in the rejection of the null hypothesis? What does it mean to reject the null hypothesis? Does that guarantee that the null hypothesis is false?arrow_forward
- Jason is applying for an undergraduate business degree oered by the ÜniSA Business School. Jason is preparing for his Graduate Management Admission Test (GMAT). As part of the entry requirements, UniSA Business School species a minimum required score of 38 for the Quantitative component and 43 for Verbal component of the GMAT test, no minimum required score for the Analytical Writing Assessment and Integrated Reasoning. Jason's scores for the Quantitative part of the test are Normally distributed with a mean score of 25:81 and a standard deviation score of 6:79, and scores for the Verbal part of the test are Normally distributed with a mean score of 37:45 and a standard deviation score of 7:11. Based on your calculations, what is Jason's current test performance and will he be admitted to the degree? Hint! Perform relevant probabilities calculations to answer this question.arrow_forwardTest at a 5% level of significance if age and traffic violations are independent of each other.arrow_forwardJ 1 Explain how length and lead time bias impacts the results of an evaluation of a screening program.arrow_forward
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