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
Videos
Textbook Question
Chapter 11.4, Problem 7LO
Describe three specific applications of the factorial design: (1) adding a factor to an existing study; (2) using a participant variable as a second factor to control the variance in a between-subjects design; and (3) using the order of treatments as a second factor to evaluate the order effects in a within-subjects design; explain the advantage of using a factorial design in these situations.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Attractiveness of body types has been a large discussion relating to effects on youth and culture. Unhealthy levels of BMI are often associated with beauty. A researcher decided to study how young heterosexual adults body type preferences related to BMI. Participants were asked to use a computer program to design their desired partner. The program then calculated the BMI of the designed partners. The table summarizes the results based on a SRS of 35 men and 48 women.
BMI designed by men
n=35
x-bar=18.850
stdev=1.750
SE Mean 0.277
BMI designed by women
n=48
x-bar=25.860
stdev=4.215
SE Mean 0.625
Use this information to conduct a test to decide if male and/or female body type preferences are associated with healthy BMI measurements. You should have two complete tests here. You may assume the populations are normally distributed.
What does an A X B interaction mean in a two - way ANOVA?
A. The affect of factor A depends on the level of factor B
B. The main effects for Factors A and B must be short of significance
C. There must be significant main effects for Factors A and B
D. If there are significant main effects, they must be interpreted first before interpreting the interaction
1) What is the difference between a survey / study and an experiment?
2)Why is it important to control or eliminate bias?
3)Define each of the following: explanatory variable response variable placebo treatment group control group
4)What is the difference between a population and a sample?
5) List the types of graphs that are appropriate to use with categorical or quantitative data:
Categorical:
Quantitative:
6)Determine whether the question below would be answered by conducting a study or an experiment, then describe an appropriate method of data collections based on your answer. (This is not an easy question, so be creative with your methods of discovery!)
Question: Do teenagers see the result of breaking a rule as a consequence or a punishment?
Chapter 11 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 11.1 - Define a factorial research design, including the...Ch. 11.2 - Define a main effect for one factor and an...Ch. 11.2 - Explain how the existence of an interaction can...Ch. 11.2 - Describe and explain the independent relationship...Ch. 11.3 - Explain how a factorial study can combine...Ch. 11.3 - Identify the statistical analyses that are...Ch. 11.4 - Describe three specific applications of the...Ch. 11 - In addition to the key words, you should also be...Ch. 11 - In a classic study, Shrauger (1972) examined the...Ch. 11 - Suppose a researcher conducts a two-factor study...
Ch. 11 - The following matrix represents the results (the...Ch. 11 - The following data show the pattern of results...Ch. 11 - Explain why the main effects in a factorial study...Ch. 11 - Explain what is meant by the concept that main...Ch. 11 - In Figure 11.5, we show three combinations of main...Ch. 11 - For a two-factor research study with two levels...Ch. 11 - A researcher would like to use a factorial study...Ch. 11 - A two-factor analysis of variance is used to...Ch. 11 - A researcher has demonstrated that a new...
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
- What is meant by the sample space of an experiment?arrow_forwardWhat is an experiment?arrow_forwardOne of the primary advantages of a repeated-measures design, compared to an independent-measures design, is that it reduces the overall variability by removing variance caused by individual differences. The following data are from a research study comparing three treatment conditions. Treatments Person I II III Totals A 6 8 10 P = 24 B 5 5 5 P = 15 C 1 2 3 P = 6 D 0 1 2 P = 3 M = 3 M = 4 M = 5 N = 12 T = 12 T = 16 T = 20 G = 48 SS = 26 SS = 30 SS = 38 ∑X² = 294 A. Assume that the data are from an independent-measures study using three separate samples, each with n = 4 participants. Ignore the column of P totals and use an independent-measures ANOVA with α = .05 to test the significance of the mean differences. (Use three decimal places where needed.) B. What is the value of Fcriticalcritical? (Use three decimal places.) C. Conclusion: Reject or Fail to reject the null hypothesis, why? D. Explain why the two analyses lead to different…arrow_forward
- One of the primary advantages of a repeated-measures design, compared to an independent-measures design, is that it reduces the overall variability by removing variance caused by individual differences. The following data are from a research study comparing three treatment conditions. Treatments Person I II III Totals A 6 8 10 P = 24 B 5 5 5 P = 15 C 1 2 3 P = 6 D 0 1 2 P = 3 M = 3 M = 4 M = 5 N = 12 T = 12 T = 16 T = 20 G = 48 SS = 26 SS = 30 SS = 38 ∑X² = 294 A. Now assume that the data are from a repeated-measures study using the same sample of n = 4 participants in all three treatment conditions. Use a repeated-measures ANOVA with α = .05 to test the significance of the mean differences. Source SS df MS F Between treatments Within treatments Between subjects Error Total B. F critical = C. Explain why the two analyses lead to…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. 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_forward1. A research team is interested in investigating how sleep deprivation and memory training influence memory recall (operationalized/measured by the number of words participants can remember after studying a list of words). Some participants are not permitted to sleep during the night before the study, some participants are allowed only four hours of sleep, and some participants are allowed eight hours of sleep. With reference to memory training, some participants get memory training prior to studying the word list, and some do not get memory training prior to studying the word list. Participants are randomly assigned to one of six unique groups. The research team is measuring number of words correctly recalled. Factor A is Memory Training and Factor B is Sleep Deprivation.arrow_forward
- A researcher published this survey result: "74% of people would be willing to spend 10 percent more for energy from a non-polluting source". The survey question was announced on a national radio show and 1200 listeners responded by calling in. Determine whether the study involves selection bias, participation bias, both selection bias and participation bias, or neither. Also describe how the bias would affect the results.arrow_forwardA researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?arrow_forwardA researcher is interested in exploring the relationship between calcium intake and weight loss. Two different groups, each with 26 dieters, are chosen for the study. Group A is required to follow a specific diet and exercise regimen, and also take a 500-mg supplement of calcium each day. Group B is required to follow the same diet and exercise regimen, but with no supplemental calcium. After six months on the program, the members of Group A had lost a mean of 16.4 pounds with a standard deviation of 1.6 pounds. The members of Group B had lost a mean of 12.6 pounds with a standard deviation of 2.3 pounds during the same time period. Assume that the population variances are not the same. Construct a 95% confidence interval to estimate the true difference between the mean amounts of weight lost by dieters who supplement with calcium and those who do not. Let Population 1 be the amount of weight lost by Group A, who took a 500-mg supplement of calcium each day, and let Population 2 be the…arrow_forward
- A researcher is interested in exploring the relationship between calcium intake and weight loss. Two different groups, each with 24 dieters, are chosen for the study. Group A is required to follow a specific diet and exercise regimen, and also take a 500-mg supplement of calcium each day. Group B is required to follow the same diet and exercise regimen, but with no supplemental calcium. After six months on the program, the members of Group A had lost a mean of 16.8 pounds with a standard deviation of 2.1 pounds. The members of Group B had lost a mean of 12.5 pounds with a standard deviation of 1.4 pounds during the same time period. Assume that the population variances are not the same. Construct a 95% confidence interval to estimate the true difference between the mean amounts of weight lost by dieters who supplement with calcium and those who do not. Let Population 1 be the amount of weight lost by Group A, who took a 500500-mg supplement of calcium each day, and let Population 2 be…arrow_forward1) Identify the type of observational study (cross-sectional, retrospective, or prospective) and explain the reason for your selection: A group of doctors studied New York City residents with and without respiratory problems. They went back in time to determine how involved they were in the New York City terrorist attacks on September 11, 2001 (Triola, 2013).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
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Introduction to experimental design and analysis of variance (ANOVA); Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=vSFo1MwLoxU;License: Standard YouTube License, CC-BY