Exam 9: Correlation Analyses
Exam 1: Introduction15 Questions
Exam 2: Frequency Distributions and Graphs15 Questions
Exam 3: Measures of Central Tendency and Variability15 Questions
Exam 4: Normal Distributions12 Questions
Exam 5: Hypothesis Testing: Basic Principles15 Questions
Exam 6: Sampling Distributions, Rejection Regions, and Statistical Test Selection15 Questions
Exam 7: T Tests and Analysis of Variance15 Questions
Exam 8: The Chi-Square Test of Association Between Variables15 Questions
Exam 9: Correlation Analyses15 Questions
Exam 10: Regression Analyses15 Questions
Exam 11: Other Ways That Statistical Analyses Contribute to Evidence-Based Practice15 Questions
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If, in the previous question, the correlation had been -1.0, what would happen after the students are asked to line up by weight?
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Which pair of variables below reflect a strong linear correlation, but the correlation is probably explained at least partially by one or more confounding variables?
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D
A form of statistical analysis that uses correlation to identify redundancy in a newly constructed data collection instrument so that it can be eliminated or equivalent forms of the instrument can be developed is:
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Which pair of variables below are probably correlated, but the correlation is not a linear one?
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A form of statistical analysis that uses correlation to form homogeneous groups of cases based upon there responses to several different questions is:
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Two variables reflected a strong, statistically significant negative correlation within a research sample. How should this be interpreted?
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A table that displays the bivariate correlations between several different pairs of variables is called a:
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Correlation between variables can be displayed graphically using a:
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A correlation of .70 between two variables suggests that about percent of the variations in one variable is related to the variations in the other one.
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Which correlation coefficient below suggests the strongest relationship between two variables?
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A statistical test that can examine the relationship between two interval or ratio level variables while controlling for the influence of a third, potentially confounding one is
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In a social work class, there is a perfect positive correlation (1.0) between height and weight. All 25 students are asked to line up by height, shortest to tallest. What will happen if they are then asked to line up by weight, lightest to heaviest?
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If two variables reflect a perfect (1.0 or -1.0) correlation,
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If one or both variables are interval or ratio level but skewed, a correlation coefficient can still be produced by computing:
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