Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Chapter 14.2, Problem 3LO
Describe the purpose of a phase in a single-case design and explain how patterns within a phase are defined, including the importance of stability of data.
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Chapter 14 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 14.1 - Describe the goal of single-case research and...Ch. 14.1 - Identify the basic elements of a single-case...Ch. 14.2 - Describe the purpose of a phase in a single-case...Ch. 14.2 - Prob. 4LOCh. 14.3 - Describe the structure of an ABAB reversal design...Ch. 14.3 - Identify the strengths and weaknesses of an ABAB...Ch. 14.3 - Explain the circumstances in which an ABAB...Ch. 14.4 - Describe the structure of a multiple-baseline...Ch. 14.4 - Identity and describe the component-analysis...Ch. 14.4 - Identify the strengths and weaknesses of a...
Ch. 14.5 - Identify the general advantages and disadvantages...Ch. 14 - Prob. 1ECh. 14 - Prob. 2ECh. 14 - Traditional statistics (means, variances, and...Ch. 14 - Prob. 4ECh. 14 - Prob. 5ECh. 14 - Prob. 6ECh. 14 - What pattern of results is needed to provide...Ch. 14 - Identify the four phases that make up an ABAB...Ch. 14 - In general, how does a phase-change design like...Ch. 14 - Explain why an ABAB reversal design is...Ch. 14 - Prob. 11ECh. 14 - Prob. 12ECh. 14 - Prob. 13ECh. 14 - How does a multiple-baseline design rule out...Ch. 14 - Suppose (hat a complex therapy procedure contains...Ch. 14 - Prob. 16ECh. 14 - Briefly explain why a clinical psychologist might...
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- A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ý (profit) = bo + b₁XRisk + b₂XR&D + b3Xwc + b4Xec + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…arrow_forwardA company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ỹ (profit) = bo + b₁XRisk + b₂X R&D +b3Xwc + b₁XEC + b₂XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7,…arrow_forwardA company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Y (profit) = bo + b₁XRisk + b₂XR&D +b3Xwc + b₁XEC + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR (X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…arrow_forward
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