Exam 3: Conceptualization and Measurement
Exam 1: Why Statistics for Public Managers and Policy Analysts20 Questions
Exam 2: Research Design24 Questions
Exam 3: Conceptualization and Measurement22 Questions
Exam 4: Measuring and Managing Performance: Present and Future21 Questions
Exam 5: Data Collection22 Questions
Exam 6: Central Tendency18 Questions
Exam 7: Measures of Dispersion18 Questions
Exam 8: Contingency Tables16 Questions
Exam 9: Getting Results14 Questions
Exam 10: Introducing Inference: Estimation From Samples20 Questions
Exam 11: Hypothesis Testing With Chi-Square20 Questions
Exam 12: The T-Test20 Questions
Exam 13: Analysis of Variance Anova15 Questions
Exam 14: Simple Regression18 Questions
Exam 15: Multiple Regression29 Questions
Exam 16: Logistic and Time Series Regression21 Questions
Exam 17: Survey of Other Techniques26 Questions
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The first step of concept measurement is operationalization.
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False
Conceptualization is the practice of identifying different dimensions of a concept.
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True
When one measurement variable has a missing value for an observation, a value of 0 is assigned to the index variable for that observation.
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False
The term measurement variable refers to the (observed) variables that make up the index.
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Comparison with external sources is sometimes called criterion (or external) validity.
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An index variable is a variable that combines the values of other variables into a single indicator or score.
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Measurement validity simply means that something measures or reflects what it is intended to.
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Variables are abstract ideas that are observed indirectly, through concepts.
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Analysts are expected to use some strategy to assess measurement validity.
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Cronbach α (also called α or measure α) is a statistical measure of internal validity.
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Ordinal-level variables are usually considered to be continuous variables.
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In conceptualization, no correct number of dimensions or variables exists, only bad or lacking ones.
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Analysts must justify their choices about the conceptualization and operationalization of study concepts.
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We should develop scales that are incomplete, ambiguous, or overlapping in some way.
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Face validity means that index variables encompass a broad range of aspects.
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The theorem of the interchangeability of indicators states that most concepts have three to five dimensions.
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