Exam 13: Correlation Research
Exam 1: The Nature of Scientific Inquiry80 Questions
Exam 2: The Scientific Approach in Education99 Questions
Exam 3: he Research Problem65 Questions
Exam 4: Reviewing the Literature61 Questions
Exam 5: The Hypothesis106 Questions
Exam 6: Descriptive Statistics80 Questions
Exam 7: Sampling and Inferential Statistics113 Questions
Exam 8: Tools of Research136 Questions
Exam 9: Validity and Reliability139 Questions
Exam 10: Experimental Research138 Questions
Exam 11: Experimental Research Design93 Questions
Exam 12: Ex Post Facto Research83 Questions
Exam 13: Correlation Research121 Questions
Exam 14: Survey Research125 Questions
Exam 15: Defining and Designing Qualitative Research78 Questions
Exam 16: Types of Qualitative Research108 Questions
Exam 17: Analyzing and Reporting Qualitative Research101 Questions
Exam 18: Action Research93 Questions
Exam 19: Mixed Methods Research45 Questions
Exam 20: Guidelines for Writing Research Proposals101 Questions
Exam 21: Interpreting and Reporting Results of Quantitative Research113 Questions
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Exhibit 13-1: Identify the kind of correlation appropriate for use in solving each of the following problems.
-Refer to Exhibit 13-1.To find the relationship between SAT scores and GPA in college.
(Multiple Choice)
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The "standard error of estimate" refers to the variability of
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In a correlational study, a researcher obtained a very small (.10), but statistically significant, correlation coefficient between two variables.The researcher most likely would report that
(Multiple Choice)
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The appropriate statistic used to find the relationship between teachers' rankings of students' leadership ability and their rankings of students' communication skills is
(Multiple Choice)
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Exhibit 13-8.Among the considerations for assessing the utility of a correlation are: absolute size and predictive validity, comparisons to other correlations, and statistical significance.Choose the appropriate consideration to answer each of the following questions.
-Refer to Exhibit 13-8.In which would one calculate the coefficient of determination?
(Multiple Choice)
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For n = 1,000 the computed r between X and Y is r = .45.If n were increased to 4,000 from the same population, the r would probably be
(Multiple Choice)
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The most useful correlational technique to use when one wants to test a causal hypothesis is
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The best prediction using a multiple regression equation will occur when each predictor has a correlation with the other independent variables, and a correlation with the dependent variable.
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How do the Pearson's r, the Spearman Rho and the Phi coefficients differ?
(Essay)
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What is the best way for a researcher, in an exploratory study, to show the correlations among all the variables?
(Multiple Choice)
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The standard error of estimate is equal to the standard deviation of Y scores when the
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A predictor variable is most likely to receive a large regression weight in a multiple regression analysis if
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The standard error of estimate is equal to zero only if the
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The prediction of Y from Variable X would be least accurate when the correlation between X and Y is
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Exhibit 13-8.Among the considerations for assessing the utility of a correlation are: absolute size and predictive validity, comparisons to other correlations, and statistical significance.Choose the appropriate consideration to answer each of the following questions.
-Refer to Exhibit 13-8.In which would you employ Cohen's conventions?
(Multiple Choice)
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Exhibit 13-7: Choose the index of correlation appropriate for use in each of the following.
Exhibit
-Refer to Exhibit 13-7.Aptitude test scores and GPA
(Multiple Choice)
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Exhibit 13-3: Compare the following coefficients of correlation and their corresponding Ns, then answer the questions.Notice that all correlation values are statistically significant.
-Refer to Exhibit 13-3.Which coefficient of correlation permits more accurate prediction of one variable from the other?
(Multiple Choice)
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Research has shown that high school students' scores on the SAT correlate .40 with college freshman grades.Assuming that only half of the students who took the SAT were admitted to a given college, what would you estimate the correlation to be between their SAT scores and freshman grades?
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It is appropriate to use "dummy variables" in multiple regression when
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A researcher correlated achievement test scores in mathematics and science, but later learned that the tests were too easy for the students.The outcome of the correlational analysis will be
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