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
Select questions type
Multidimensional scaling provides a means for placing objects in multidimensional space on the basis of respondents' judgments of the similarity of objects.
(True/False)
4.8/5
(28)
Multivariate statistical analysis permit the researcher to consider the effects of three or more variables at the same time.
(True/False)
4.8/5
(40)
Mulitvariate dependence techniques are variants of the _____, which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.
(Multiple Choice)
4.9/5
(42)
The variate is a mathematical way in which a set of variables can be represented with one equation.
(True/False)
4.8/5
(39)
Which of the following is an example of an interdependence analysis method?
(Multiple Choice)
4.8/5
(37)
In multiple regression, the coefficient of multiple determination, or c2, indicates the percentage of the variation in Y that can be explained by all independent variables.
(True/False)
4.8/5
(29)
The test used to test statistical significance by comparing variation explained by the regression equation to the residual error variation is the _____.
(Short Answer)
4.8/5
(38)
Compare and contrast dependence and interdependence techniques. List the statistical techniques for both.
(Essay)
4.7/5
(28)
In the formula for the F-test in multiple regression, n - k - 1 represents the ____.
(Multiple Choice)
4.7/5
(37)
In multiple regression, dummy variables are those that have no effect on the dependent variable.
(True/False)
4.8/5
(35)
In regression analysis, the symbol X is commonly used for the ______ variable, and the symbol Y is commonly used for the ______ variable.
(Multiple Choice)
4.8/5
(29)
The type of measurement scales used does not influence which multivariate statistical techniques are appropriate for the data.
(True/False)
4.9/5
(34)
To determine whether the discriminant analysis can be used as a good predictor, information provided in the factor profile is used.
(True/False)
4.9/5
(34)
If the researcher wants to classify objects into two mutually exclusive categories, the researcher should use ______ analysis.
(Short Answer)
4.9/5
(26)
The two types of multivariate techniques are ______ methods and ______ methods.
(Short Answer)
5.0/5
(30)
A variable that is coded as either zero or one and that has two distinct levels is called a(n) _____.
(Multiple Choice)
4.8/5
(30)
Showing 21 - 40 of 85
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)