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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Textbook Question
Chapter 8.2, Problem 3LO
Define individual differences and explain how individual differences between groups and confounding from environmental variables can threaten the internal validity of a between-subjects design.
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Chapter 8 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 8.1 - Describe, compare, and contrast the defining...Ch. 8.1 - Explain the general advantages and disadvantages...Ch. 8.2 - Define individual differences and explain how...Ch. 8.3 - Identify the three primary techniques for limiting...Ch. 8.4 - Describe how individual differences influence...Ch. 8.4 - Identify the options for reducing or controlling...Ch. 8.5 - Describe how differential attrition and...Ch. 8.6 - Describe how between-subjects designs are used to...Ch. 8 - In addition to the key words, you should also be...Ch. 8 - At the beginning of this chapter (p. 186) we...
Ch. 8 - In a between-subjects design, each individual...Ch. 8 - A researcher has a sample of 30 rats that are all...Ch. 8 - Briefly explain how a participant characteristic,...Ch. 8 - Explain the advantages and disadvantages of using...Ch. 8 - A recent survey at a major corporation found that...Ch. 8 - Describe how individual differences can produce...Ch. 8 - Explain how holding a participant variable such as...Ch. 8 - Describe some of the problems that can arise when...Ch. 8 - Describe the advantages of a two-group design...Ch. 8 - Identify the advantages of a multiple-group design...
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- What is a confounding variable in research, and how can it affect the results of a study? Provide an example of a confounding variable in a hypothetical study.arrow_forwardIf I studied the relationship between class size and student achievement, what kind of research design would I use?arrow_forwardA recent study on driving behavior examined whether the combination of high driving skills and low safety skills is dangerous. Participants were classified as high or low in driving skill based on responses to a driver-skill inventory, then classified as high or low in safety skill based on responses to a driver-aggression scale. An overall measure of driving risk was obtained by combining several variables such as number of accidents, tickets, tendency to speed, etc. The following data were obtained. Use a 2 x 2 ANOVA with the .05 significance level to evaluate the results. What cutoff score(s) should be used? Driving Skill Low High Safety Skill Low M1=5 M2=4.5 S1=2.7 S2=3.8 N1=6 N2=6 HIgh M3=3 M4=3.5 S3=2.9 S4=2.5 N3=6 N4=6 Group of answer choices +4.35 +3.40 +3.49 +4.26arrow_forward
- A recent study on driving behavior examined whether the combination of high driving skills and low safety skills is dangerous. Participants were classified as high or low in driving skill based on responses to a driver-skill inventory, then classified as high or low in safety skill based on responses to a driver-aggression scale. An overall measure of driving risk was obtained by combining several variables such as number of accidents, tickets, tendency to speed, etc. The following data were obtained. Use a 2 x 2 ANOVA with the .05 significance level to evaluate the results. Which of the following is one of the research hypotheses? Driving Skill Low High Safety Skill Low M1=5 M2=4.5 S1=2.7 S2=3.8 N1=6 N2=6 HIgh M3=3 M4=3.5 S3=2.9 S4=2.5 N3=6 N4=6 Group of answer choices The difference in driving risk between drivers with high and low driving safety does not depend on driving skill level On average, drivers classified as high and low in safety skill do not…arrow_forwardHow might the absence of data screening affect a researcher’s data quality, their interpretations of the data, and thereby their interpretations of their study’s findings?arrow_forwardA significant interaction was found between depression, social support and GPA. These results should be considered with caution and further research should be done to better understand the relationships between these variables. Furthermore, those working with college students should consider the overall well-being of the student, as it is possible that their academic performance may not be affected by anxiety and/or depression. IS THIS A TYPE 1 ERROR OR A TYPE 2 ERROR IN RESEARCH?arrow_forward
- This case study looks at the introduction of a pet therapy program. The evaluator looks at a number of variables including patient age, gender, and length of stay in the rehabilitation unit. The evaluator did not look at the type of injury or the type of therapy the patient was receiving. This study found no statistically significant relationship between the number of pet visits and satisfaction with the pet therapy project. Suppose there was a statistically significant difference between number of visits and satisfaction. What would this mean for the evaluation of the pet therapy program?arrow_forwardAgricultural researchers are investigating whether a new form of pesticide will lead to lower levels of insect damage to crops than traditional pesticides. Is lower levels of insect damage to crops the explanatory variable or the response variable? Explanatory variable Response variable Not enough information to determinearrow_forwardHow does the correlation between socio-economic status and health outcomes vary across different ethnic groups in the United States, and what are the implications of these disparities for public health policy and healthcare delivery systems?arrow_forward
- A recent study randomly selected women from various countries around the world and collected information about diet and health. The women who at a Paleo diet had lower rates of Osteoporosis when compared to the other women in the study. A. Which is the explanatory variable and why. B. Which is the response variable and why. C. Write a conclusion appropriate for this type of study that describes the relationship between the explanatory and response variables.arrow_forwardU.S. Department of Transportation As an auto insurance risk analyst, it is your job to research risk profiles for various types of drivers. One common area of concern for auto insurance companies is the risk involved when offering policies to younger, less experienced drivers. The U.S. Department of Transportation recently conducted a study in which it analyzed the relationship between 1) the number of fatal accidents per 1000 licenses, and 2) the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Your first step in the analysis is to construct a scatterplot of the data. FIGURE. SCATTERPLOT FOR U.S. DEPARTMENT OF TRANSPORATION PROBLEM U.S. Department of Transportation The Relationship Between Fatal Accident Frequency and Driver Age 4.5 4. 3.5 3. 2.5 1.5 0.5 0. 6. 8 10 12 14 16 18 20 Percentage of drivers under age 21 pon visual inspection, you determine that the variables do have a linear relationship. After a linear pattern has been established visually, you…arrow_forwardA research study examining differences in the effectiveness of three treatment conditions in combatting anxiety has three levels. True Falsearrow_forward
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