Exam 16: Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach
Exam 1: Definitions, Purposes, and Dimensions of Research23 Questions
Exam 2: Planning a Quantitative Research Project19 Questions
Exam 3: Variables, Research Questions, and Hypotheses32 Questions
Exam 4: Research Approaches23 Questions
Exam 5: Randomized Experimental and Quasi-Experimental Designs38 Questions
Exam 6: Single-Subject Designs25 Questions
Exam 7: Nonexperimental Approachesdesigns26 Questions
Exam 8: Internal Validity25 Questions
Exam 9: Sampling and Introduction to External Validity44 Questions
Exam 10: Measurement and Descriptive Statistics33 Questions
Exam 11: Measurement Reliability29 Questions
Exam 12: Measurement Validity19 Questions
Exam 13: Types of Data Collection Techniques38 Questions
Exam 14: Ethical Issues in Conducting the Study45 Questions
Exam 15: Practical Issues in Data Collection and Coding25 Questions
Exam 16: Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach41 Questions
Exam 17: Making Inferences From Sample Data II: the Evidence-Based Approach32 Questions
Exam 18: General Design Classifications for Selection of Difference Statistical Methods22 Questions
Exam 19: Selection of Appropriate Statistical Methods: Integration of Design and Analysis26 Questions
Exam 20: Data Analysis and Interpretation: Basic Difference Questions54 Questions
Exam 21: Analysis and Interpretation of Basic Associational Research Questions28 Questions
Exam 22: Analysis and Interpretation of Complex Research Questions62 Questions
Exam 23: Evaluating Research Validity: Part I34 Questions
Exam 24: Evaluating Research Validity: Part II29 Questions
Exam 25: Evaluating Research for Evidence-Based Practice26 Questions
Exam 26: Writing the Research Report31 Questions
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Nondirectional alternative hypotheses often are used when comparing two different treatment methods.
(True/False)
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Directional alternative hypotheses should be used when there is previous research to support the intervention.
(True/False)
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Power can be determined by knowing the sample size, the significance level, and an estimate of the study's effect size.
(True/False)
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A statistical outcome that could occur less than 5 times in 100 (alpha = .05) should result in:
(Multiple Choice)
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A null hypothesis states that there will be no significant differences in the population between the average weights of one group of women who have sports-related hobbies versus a group of women with non-sports-related hobbies. A Type I error would be to:
(Multiple Choice)
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Rex All developed what he thinks is a miracle drug to cure baldness. He asks you for advice on how to maximize statistical power so that he can "prove" that Hair Today really works. You tell him that the best way to maximize power is to:
(Multiple Choice)
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What significance level for a directional hypothesis is the same as .05 for a non-directional hypothesis?
(Multiple Choice)
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We can never be sure if a decision based on sample data is actually true for the population.
(True/False)
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A small sample size may not produce enough power to reject a false null hypothesis.
(True/False)
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A p value of .06 should add supporting evidence to the results of a study.
(True/False)
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By divine revelation, a researcher discovers that his hypothesis was, in fact, true and he should never have rejected it. The researcher:
(Multiple Choice)
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