Exam 24: Multivariate Statistical Analysis
Exam 1: The Role of Business Research58 Questions
Exam 2: Information Systems and Knowledge Management87 Questions
Exam 3: Theory Building65 Questions
Exam 4: The Business Research Process102 Questions
Exam 5: The Human Side of Business Research: Organizational and Ethical Issues92 Questions
Exam 6: Problem Definition: the Foundation of Business Research85 Questions
Exam 7: Qualitative Research94 Questions
Exam 8: Secondary Data Research in a Digital Age87 Questions
Exam 9: Survey Research: an Overview95 Questions
Exam 10: Survey Research: Communicating With Respondents81 Questions
Exam 11: Observation90 Questions
Exam 12: Experimental Research138 Questions
Exam 13: Measurement100 Questions
Exam 14: Attitude Measurement90 Questions
Exam 15: Questionnaire Design116 Questions
Exam 16: Sampling Designs and Sampling Procedures91 Questions
Exam 17: Determination of Sample Size: a Review of Statistical Theory87 Questions
Exam 18: Fieldwork69 Questions
Exam 19: Editing and Coding: Transforming Raw Data Into Information86 Questions
Exam 20: Basic Data Analysis: Descriptive Statistics92 Questions
Exam 21: Univariate Statistical Analysis76 Questions
Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables77 Questions
Exam 23: Bivariate Statistical Analysis: Measures of Association81 Questions
Exam 24: Multivariate Statistical Analysis85 Questions
Exam 25: Communicating Research Results: Report Generation, Oral Presentation, and Follow-Up84 Questions
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If a researcher wants to know how strongly a measured variable is correlated with a factor, what should she look at?
(Multiple Choice)
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A multivariate interdependence technique that classifies individuals or objects into a small number of mutually exclusive and exhaustive groups is _____.
(Short Answer)
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_____ in regression analysis refers to how strongly interrelated the independent variables in a model are.
(Short Answer)
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Multicollinearity in regression analysis refers to how strongly interrelated the independent variables in a model are.
(True/False)
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Which of the following is computed by most regression programs and provide an indication of how much multicollinearity exists among a set of independent variables?
(Multiple Choice)
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Which of the following suggests problems with multicollinearity?
(Multiple Choice)
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An indication of how strongly a measured variable is correlated with a factor is given by the _____.
(Short Answer)
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Which analysis is portrayed by the equation: Y = bo + b1X1 + b2X2 + b3X3... + bnXn?
(Multiple Choice)
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_____ is the extent to which independent variables in a multiple regression analysis are correlated with each other.
(Multiple Choice)
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A value of R2 = 0.40 means that _____ percent of the variance in the dependent variable is explained by the independent variables.
(Multiple Choice)
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In discriminant analysis, a linear combination of independent variables that explains group memberships is known as a(n) _____.
(Multiple Choice)
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When an analysis studies the effect of several independent variables on a single dependent variable that is interval-scaled, this is called ______ analysis.
(Short Answer)
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A ______ variable has two distinct levels that are coded as 0 and 1.
(Short Answer)
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Which of the following is a measure of the percentage of a variable's variance that is explained by the factors in factor analysis?
(Multiple Choice)
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Discriminant analysis predicts a categorical dependent variable based on a linear combination of independent variables.
(True/False)
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