Exam 17: Overview and Extension: Statistical Tests for More Complex Designs
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 inference of the relationship is indexed by eta-squared for all statistical test.
(True/False)
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In the study above what type of statistical test,should Dr.Nan use (if subjects have been matched on age or IQ)?
(Multiple Choice)
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If a dependent variable turns out to be highly skewed,then it might be decided to focus on a _____ rather than a _____ to analyze the relationship between two variables.
(Multiple Choice)
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Sometimes research designs involve one between-subjects independent variable and one within-subjects independent variable.
(True/False)
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Dr.Hinson used a One-Way ANOVA,repeated measures and has set his alpha level at .05 nondirectional.He reported the following: F(2,19)=6.99.Based on this information what can you conclude?
(Multiple Choice)
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The choice of which distributional parameter to compare across groups is often dictated by theory or the substantive question of interest.
(True/False)
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If you have a small sample size what type of statistics should you use?
(Multiple Choice)
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When one or both variables are measured on an ordinal level that seriously departs from interval level characteristics,Pearson correlation is the test of choice.
(True/False)
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A correlated t-test can be used to analyze the relationship between 2 variables except when_____.
(Multiple Choice)
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A psychologist's is studying the affects of Ritalin on concentration in 40 children that have been matched on age and IQ.Twenty of the children receive Ritalin and are asked to take an exam that measures their concentration.The other 20 children did not receive Ritalin,but a placebo pill and took the same exam.After graphing this data,the researcher realizes that the data is not normally distributed.What should he do?
(Multiple Choice)
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Dr.James used a Pearson correlation and found that there was a relationship between the number of publications of faculty members and the number of graduate programs offered (r=.85).To determine the nature of the relationship what should Dr.James do?
(Multiple Choice)
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Some psychologists have argued that the question "is there a relationship between two variables" is meaningless,in part because:
(Multiple Choice)
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If means are the focus,then a _____ test is usually the analysis of choice.
(Multiple Choice)
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Statistical techniques for analyzing the relationship between three or more variables are referred to as:
(Multiple Choice)
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Generally speaking,parametric methods are not conducive to analyzing qualitative variables.
(True/False)
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When both of the variables under study are qualitative and between-subjects in nature,the appropriate method of data analysis is the:
(Multiple Choice)
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For an experiment that includes four levels of the single independent variable with 4 levels and,4 different groups are compared,the most appropriate statistical test is the:
(Multiple Choice)
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The observed distribution may bias one's decision about a parameter to focus on.
(True/False)
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______ is the statistic used to indicate the strength of relationship between a criterion variable and several predictors in the context of a linear model
(Multiple Choice)
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A non-parametric test should be pursued if there is reason to believe that the distributional assumptions of the corresponding parametric test have been violated to the extent that the parametric test is not robust.
(True/False)
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