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_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_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. 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_forward
- If I studied the relationship between class size and student achievement, what kind of research design would I use?arrow_forwardIf the difference in means of two data sets is not zero, does that imply that on average the two variables are significantly different?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_forward
- Define Omitted Variable Bias? Explain Solutions to omitted variable bias when the variable is observed or there are adequate control variables?arrow_forwardWhat variables do Teczar find have the most significant controlled associations with women in national parliaments?arrow_forwardThis 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. What does this mean for the evaluation?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_forwardCell phone production engineers have noticed that among a group of 138 customers aged 14-23 who send more text messages tend to use a higher percentage of their phone's memory. What are the explanatory variable and response variable for this relationship? O Explanatory variable: age of customer Response variable: percentage of phone memory used O Explanatory variable: percentage of phone memory used Response variable: age of customer O Explanatory variable: number of text messages sent Response variable: percentage of phone memory used O Explanatory variable: percentage of phone memory used Response variable: number of text messages sent Mark this and retum Save and Exit Next Submit op 8arrow_forwardA real estate developer wishes to study the relationship between the size of home a client will purchase (in square feet) and other variables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with the family (1 for yes, 0 for no), and the total years of education beyond high school for the husband and wife. The sample information is reported below. Family Square Feet Income (000s) Family Size Senior Parent Education 1 2,300 60.8 2 0 4 2 2,300 68.4 3 1 6 3 3,400 104.5 3 0 7 4 3,360 89.3 4 1 0 5 3,000 72.2 4 0 2 6 2,900 113 2 1 10 7 4,100 125.4 5 0 6 8 2,250 89.6 3 0 8 9 4,200 133 5 0 2 10 2,800 98 3 0 6 a. Develop an appropriate multiple regression equation using stepwise regression. (Use Excel data analysis and enter number of family members first, then their income and…arrow_forward
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