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 11.2, Problem 3LO
Explain how the existence of an interaction can influence the interpretation of main effects.
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What is a main effect? an interaction?
Explain what is meant by the concept that main effects and interactions are independent.
When an interaction is present, is it appropriate to interpret a significant main effect as meaningful? Explain your answer.
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...
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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 term main effect? What is an interaction effectarrow_forwardWhat is Interaction and simple effects?arrow_forwardThere is an interaction effect between two independent variables when the effect of an independent variable differs depending on the level of another independent variable. True Falsearrow_forward
- What is an example of a graph that shows a strong interaction effect and a graph that shows no interaction effect?arrow_forwardSuppose the number of seconds required to accelerate to 60 mph depends on both a car’s weight, its horsepower, and an interaction term between the two variables. Describe why an interaction term could be appropriate for the variables in this model and construct three linear relationships between acceleration time and weight, each for a different assumed value of horsepower.arrow_forwardDraw a graph where a strong interaction effect is present and then draw a graph where no interaction is present- include variables that you think would be of interaction or no interaction.arrow_forward
- A survey is conducted to understand the relationship between income and job satisfaction, what is the dependent variable in this scenario?arrow_forwardWhat do you mean by Simultaneous Causality? Explain in detail.arrow_forwardIn general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explainarrow_forward
- Explain why a 3 way interaction will have more regression lines than a 2 way interaction.arrow_forwardA researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Below is the data set followed by the results:arrow_forwardA study is conducted to determine the relationship between study hours and exam scores, what is the dependent variable in this scenario?arrow_forward
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