Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 12, Problem 9E
Describe how the third-variable problem and the directionality problem limit the interpretation of results from
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
A survey is conducted to understand the relationship between income and job satisfaction, what is the dependent variable in this scenario?
discuss the limitation of correlation analysis.
In general, what are some problems with using regression to measure causal effects?
Chapter 12 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 12.1 - Define the goal or purpose of the correlational...Ch. 12.2 - Prob. 2LOCh. 12.2 - Identify the statistical procedure used to...Ch. 12.3 - Describe how correlations are used for prediction,...Ch. 12.4 - Prob. 5LOCh. 12 - In addition to the key words, you should also be...Ch. 12 - Explain how the purpose of a correctional study...Ch. 12 - Each of the following studies examines the...Ch. 12 - Describe the pattern that would appear in a...Ch. 12 - Suppose that there is a negative relationship...
Knowledge Booster
Learn more about
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
- A researcher would like to evaluate the claim that drinking large quantities of water can help prevent the common cold. One group of participants drinks 8 glasses of water every day, and a second group drinks 2 glasses of water every day. The researcher records the number of colds each individual experiences during the 4-month winter season. what is the independent variable? what research method is being used experimental or correlational?arrow_forwardSuppose there is a significant correlation between two variables. Describe a case under which it might be inappropriate to use the linear regression equation for prediction.arrow_forward5) A researcher finds that there is a positive correlation between number of hours a person sleeps the night before an exam (variable X) and their performance on the exam (variable Y). However, they are concerned that this relationship only exists because of conscientiousness (variable Z). Specifically, conscientious people tend to get more sleep and also tend to perform well on tests. Using the data below, please determine where there is a relationship between hours of sleep one gets the night before an exam and performance on the exam after accounting for the role of conscientiousness (alpha = .05, two-tailed). sleep exam grade conscientiousness 6 63 2 66 4 1 60 2.5 4 75 3.5 90 9. 88 4.5 10 92 6 a) What type statistical analysis should you perform? Please explain your rationale b) Please state the null and alternative hypotheses c) Please write out the results and make a decision d) Please make a general conclusion (no stat talk)arrow_forward
- Which of the following is not determined in the case of multiple linear regression? A) Potential confounding effects from “lurking” variables included in the analysis B) Observed relationship between predictor and outcome variables adjusting for confounding relationshipsC) Causal relationships between predictor and outcome variables adjusting for confounding relationships D) Potential observed interaction effects between variablesarrow_forwardWhat is the difference between an interaction term and a main effect in multiple linear regression?arrow_forwardA study found a positive correlation between IQ and making good economic choices. One possible reason for this association is causation: higher IQs result in better economic choices. But lurking variables may explain some of the correlation. Suggest some additional factors that would explain why people with higher IQs may make good economic choices.arrow_forward
- Assume we have data demonstrating a strong linear link between the amount of fertilizer applied to certain plants and their yield. Which is the independent variable in this research question?arrow_forwardWhy is it necessary that the variables are significantly correlated before performing regression analysis?arrow_forwardDescribe how the goal of an experimental research study is different from the goal for nonexperimental or correlational research. Identify the two elements that are necessary for an experiment to achieve its goal.arrow_forward
- A study of obesity and metabolic syndrome used data collected from 15 students, and included systolic blood pressure (SBP), weight, and BMI. These data are presented in Table 2 (See data 3). Correlations for the three variables are shown in Figure 1. The very large and significant correlation between the variables weight and BMI suggests that including both of these variables in the model is inappropriate because of the high level of redundancy in the information provided by these variables. This makes logical sense since BMI is a function of weight. How to decide which of the variables to retain for constructing the regression model? Table 2 Data from 8 Random Sample of 15 Students Case NO SBP WEIGHT(lbs.) BMI metabolic syndrome 1 126 125 24.41 0 2 129 130 23.77 0 3 126 132 20.07 0 4 123 200 27.12 1 5 124 321 39.07 1 6 125 100 20.9 0 127 138 22.96 0 125 138 24.44 0 123 149 23.33 0 19 180 25.82 0 127 184 26.4 0 126 251 31.87 1 122 197 26.72 1 126 107 20.22 0 125 125 23.62 0 7 8 9 10 11…arrow_forwardResearch was conducted to find out the relationships between pro-environmental attitudes and 20 concepts of nature. As expected, the pro-environmental attitudes were related to several of the concepts of nature measured. One of the possible research objectives in this study is to assess the relationship between level of knowledge on nature or the environment (X), and the frequency of engaging in pro-environmental behavior (Y) per month, e.g., recycling and using biodegradable products. The data from your study (from 15 respondents) are as follows: ID Y XY y2 1 7 12 3 7 11 5 8 19 9 7 4 8. 11 9. 2 10 8 16 11 7 12 19 13 7 10 14 7 13 15 3 ТОTALarrow_forwardThe Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. Scoring average is generally considered the most important statistic in terms of success on the PGA Tour. To investigate the relationship between scoring average and variables such as driving distance (DrDist), driving accuracy (DrAccu), and greens in regulation (GIR) year-end performance data for the 125 players who had the highest total earnings in PGA Tour events for 2008 is provided in cells E1 to K126. Scoring average data is in cells H1 to H126. Driving distance (DrDist) data is in cells I1 to I126. Driving Accuracy (DrAccu) data is in cells J1 to J126. Greens in Regulation (GIR) data is in cells K1 to K126. All data sets have labels in first row. Place output in a separate worksheet. Use regression analysis to investigate the relationship between scoring average and DrDist. At .05 level of significance, what is your conclusion about the relationship…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
The Shape of Data: Distributions: Crash Course Statistics #7; Author: CrashCourse;https://www.youtube.com/watch?v=bPFNxD3Yg6U;License: Standard YouTube License, CC-BY
Shape, Center, and Spread - Module 20.2 (Part 1); Author: Mrmathblog;https://www.youtube.com/watch?v=COaid7O_Gag;License: Standard YouTube License, CC-BY
Shape, Center and Spread; Author: Emily Murdock;https://www.youtube.com/watch?v=_YyW0DSCzpM;License: Standard Youtube License