Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 4: Percentiles percentile Ranks standard Scores and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 6: Probability149 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T -Test149 Questions
Exam 13: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 14: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 15: Chi-Square Test145 Questions
Exam 16: Nonparametric Statistics135 Questions
Exam 17: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 18: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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Comparing the relationship happiness and owning a pet is _____.
(Multiple Choice)
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Which of the following does not apply to a within-subjects design?
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One potential problem with between-subjects designs is the fact that the treatment in the first condition may have carry-over effects that influence performance in the second condition.
(True/False)
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The ability to make a causal inference between two variables is a function of the statistical techniques one uses,not the research design used to generate the data that are analyzed by those statistical techniques.
(True/False)
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Experimental strategies automatically control for confounding variables.
(True/False)
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Random assignment of subjects to experimental conditions is only feasible when an investigator is using ____.
(Multiple Choice)
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Statistics that allow you to evaluate your data and generalize to the population are called_____.
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Explain the difference between Confounding variables and disturbance variables.
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Comparing the time it takes to develop a solution to a problem,in subjects given a study guide before the problem is given compared with those not given a study guide is _____.
(Multiple Choice)
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A(n)_________ strategy is where a set of procedures or manipulations is performed to created different values of the independent variable for the research participants;while a(n)__________ strategy involves measuring differences in values that naturally exist in the research participants.
(Multiple Choice)
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A common strategy to control disturbance variables is (are):
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A _____ variable is one that is unrelated to the independent variable but that affects the dependent variable.
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Statisticians can determine the effects of violating assumptions by using _____ or performing _____.
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It is entirely possible for two variables to be _____ one another,but for no _____ relationship to exist between them.
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Which procedure is not used to control for confounding variables?
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In an experimental strategy,a set of procedures or manipulations is performed in order to create different values of the dependent variable for the research participants.
(True/False)
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A problem with holding a variable,such as gender,constant is that
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Nonparametric statistics require quantitative dependent variables and are usually applied when these variables are measured on a level that at least approximates interval characteristics.
(True/False)
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What are the most common criticism and general disadvantage attributed to experimental designs?
(Multiple Choice)
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Since random assignment cannot be applied to experimental groups,experimental
variables will always be confounded with all other variables that are naturally related to them.
(True/False)
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