Exam 16: Correlation
Exam 1: The Empirical Approach to Knowledge10 Questions
Exam 2: Types of Empirical Research8 Questions
Exam 3: Scales of Measurement9 Questions
Exam 4: Descriptive, Correlational, and Inferential Statistics5 Questions
Exam 5: Introduction to Sampling9 Questions
Exam 6: Variations on Random Sampling6 Questions
Exam 7: Sample Size9 Questions
Exam 8: Standard Error of the Mean7 Questions
Exam 9: Frequencies, Percentages, and Proportions7 Questions
Exam 10: Shapes of Distributions7 Questions
Exam 11: The Mean: An Average7 Questions
Exam 12: Mean, Median, and Mode12 Questions
Exam 13: Range and Interquartile Range6 Questions
Exam 14: Standard Deviation6 Questions
Exam 15: Z-Score5 Questions
Exam 16: Correlation7 Questions
Exam 17: Pearson-R6 Questions
Exam 18: Scattergram6 Questions
Exam 19: Introduction to Hypothesis Testing11 Questions
Exam 20: Decisions About the Null Hypothesis6 Questions
Exam 21: Introduction to the T-Test7 Questions
Exam 22: Independent Samples T-Test6 Questions
Exam 23: Dependent Samples T-Test6 Questions
Exam 24: One Sample T-Test5 Questions
Exam 25: Reports of the Results of T-Tests5 Questions
Exam 26: One-Way Anova7 Questions
Exam 27: Two-Way Anova5 Questions
Exam 28: Chi-Square Test5 Questions
Exam 29: Limitations of Significance Testing5 Questions
Exam 30: Effect Size8 Questions
Exam 31: Coefficient of Determination5 Questions
Exam 32: Multiple Correlation5 Questions
Exam 33: Simple and Multiple Regression5 Questions
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An extent to which two variables are related across a group of participants is measured by what procedure?
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When students who scored high on the Sat-V also have high GPAs, what type of relationship is this?
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What effect does it have when there are exceptions to the overall trend in a relationship between two variables?
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When participants with high self-concept scores have relatively low depression sores, what type of relationship is this?
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In order to look for a cause-and-effect, what kind of study needs to be conducted in which different treatments are administered to the participants?
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It is important to note that just because a correlation between two variables is observed, it does not necessarily indicate that there is a causal relationship between the variables.
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Correlational studies show a relationship between variables. Therefore, it is generally inappropriate to infer causality from a correlational study. So such studies generally have no value.
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