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 6.2, Problem 3LO
Define the concept of external validity and a threat to external validity.
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(e) Show by a counter example that the converse of (ii) is not necessarily true.
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Chapter 6 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 6.1 - Describe, compare, and contrast the five research...Ch. 6.1 - Define research strategy, research design, and...Ch. 6.2 - Define the concept of external validity and a...Ch. 6.2 - Define the concept of internal validity and a...Ch. 6.3 - Identify and explain the common threats to...Ch. 6.4 - Describe how extraneous variables can become...Ch. 6.4 - Describe how environmental variables can be...Ch. 6.5 - Define experimenter bias, demand characteristics,...Ch. 6 - In addition to the key words, you should also be...Ch. 6 - For each of the following scenarios, identify...
Ch. 6 - How is the descriptive strategy different from the...Ch. 6 - Explain the difference among the terms research...Ch. 6 - A researcher conducts a study with 6-year-old...Ch. 6 - A researcher finds that college students are more...Ch. 6 - Explain how using college students as participants...Ch. 6 - What is the novelty effect, and how does it affect...Ch. 6 - Suppose that you wake up in the morning with all...Ch. 6 - What is the primary threat to internal validity...Ch. 6 - Describe how experimenter bias can be a threat to...Ch. 6 - Describe how participant reactivity can be a...Ch. 6 - Selection bias and individual differences are both...
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- (c) Utilize Fubini's Theorem to demonstrate that E(X)= = (1- F(x))dx.arrow_forward(c) Describe the positive and negative parts of a random variable. How is the integral defined for a general random variable using these components?arrow_forward26. (a) Provide an example where X, X but E(X,) does not converge to E(X).arrow_forward
- (b) Demonstrate that if X and Y are independent, then it follows that E(XY) E(X)E(Y);arrow_forward(d) Under what conditions do we say that a random variable X is integrable, specifically when (i) X is a non-negative random variable and (ii) when X is a general random variable?arrow_forward29. State the Borel-Cantelli Lemmas without proof. What is the primary distinction between Lemma 1 and Lemma 2?arrow_forward
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