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 3: Measures of Central Tendency and Variability154 Questions
Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 6: Probability149 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T-Test149 Questions
Exam 12: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 13: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 14: Chi-Square Test145 Questions
Exam 15: Nonparametric Statistics135 Questions
Exam 16: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 17: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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The within-subjects design can offer considerably more experimental control than the between-subjects design.
(True/False)
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In practice,it is often difficult to identify appropriate variables to serve as a basis
for matching,and,once identified,to readily complete the matching process.
(True/False)
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The normality and homogeneity of variance assumptions relate only to samples,not to the populations from which the samples were drawn.
(True/False)
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It is possible that 2 variables can appear to be related to each other but there is no causal relationship.
(True/False)
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Since random assignment cannot be applied to observational groups,observational independent variables will always be _____ with all other variables that are naturally related to them.
(Multiple Choice)
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_____ statistics focus on differences between distributions of scores and can be used to analyze quantitative variables that are measured on an _____level.
(Multiple Choice)
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Distinguish between an experimental strategy and an observational strategy.
(Essay)
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A common strategy to control disturbance variables is (are):
(Multiple Choice)
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_____ statistics tend to focus on medians,interquartile ranges,and ordinal level measures.
(Multiple Choice)
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Dr.Johnson hypothesizes that nutrasweet reduces short-term memory.In order to test her hypothesis she gives 10 subjects a beverage containing nutrasweet (treatment group)and 10 subjects a beverage without nutrasweet (control group).She then measures the subject's ability to recall a list of numbers.In this study the independent variable is_______and the dependent variable is______.
(Multiple Choice)
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The technique of placing comparable subjects in all experimental groups in an attempt to control tor confounding variables is called ____.
(Multiple Choice)
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Random assignment is feasible only when an investigator is using a manipulative experimental strategy to "create" values on an independent variable.
(True/False)
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Random assignment is an effective method for controlling confounding variables defined by individual differences.
(True/False)
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Another term used for within-subjects design is ____________________.
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The advantage of including a control group when utilizing an experimental strategy is that it provides a _____ for evaluating the effects of the experimental manipulation.
(Multiple Choice)
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If a researcher administers either 0 mg,10 mg,or 20 mg of a drug to subjects in an experiment,then the group of subjects receiving the 0 mg treatment is best thought of as a(n)____.
(Multiple Choice)
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The main difference between parametric & nonparametric statistics is that parametric statistics:
(Multiple Choice)
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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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