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Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

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Chapter 7

Navigation   » List of Schools  »  California State University, Northridge  »  Sociology  »  Soc 497 – Research Methods  »  Spring 2019  »  Chapter 7

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Below are the questions for the exam with the choices of answers:

Question #1
These scales are widely used in survey research. They were developed in the 1930’s by Rensis Likert to provide an ordinal-level measure of a person’s attitude.
A  Likert Scales
B  Exhaustive attributes
C  Predictive Validity
D  Construct Validity
Question #2
A measure in which a researcher wants to capture the intensity, direction, level, or potency of a variable along a continuum.
A  Mutually Exclusive Attributes
B  Scale
C  Concurrent Validity
D  Exhaustive attributes
Question #3
The principle that attributes or categories in a measure should provide a category for all possible responses.
A  Ordinal Level
B  Exhaustive attributes
C  Nominal Level
D  Ratio Level
Question #4
It is one of the principles of good measurement in which the variable attributes or categories in a measure are organized so that responses fit into only one category and there is no overlap.
A  Interval Level
B  Mutually Exclusive Attributes
C  Ordinal Level
D  Nominal Level
Question #5
the highest, most precise level of measurement; variable attributes can be rank ordered, the distance between them precisely measured, and there is an absolute zero.
A  Nominal Level
B  Ordinal Level
C  Ratio Level
D  Discrete Variables
Question #6
A level of measurement that identifies differences among variable attributes, ranks categories, and Measures distance between categories, but has no true zero
A  Discrete Variables
B  Interval Level
C  Ratio Level
D  Nominal Level
Question #7
A level of measurement that identifies a difference among categories/attributes of a variable and allows the categories to be rank ordered.
A  Mutually Exclusive Attributes
B  Continuous Variables
C  Interval Level
D  Ordinal Level
Question #8
The lowest, least precise level of measurement for which there is a difference in type only among the categories/attributes of a variable.
A  Criterion Validity
B  Continuous Variables
C  Ordinal Level
D  Nominal Level
Question #9
A system for organizing information in the measurement of variables
A  Content Validity
B  Mutually Exclusive Attributes
C  Levels of Measurement
D  Content Validity
Question #10
Variables that have a relatively fixed, and limited set of values/attributes.
A  Construct Validity
B  Mutually Exclusive Attributes
C  Discrete Variables
Question #11
Variables that are measured on a continuum and have a large number of values/attributes.
A  Continuous Variables
B  Exhaustive attributes
C  Likert Scales
D  Content Validity
Question #12
A type of measurement validity for Multiple indicators based on the idea that indicators of different
A  Construct Validity
B  Discriminant Validity
C  Construct Validity
D  Discriminant Validity
Question #13
It means that multiple indicators in the same construct will act alike or operate in similar ways.
A  Construct Validity
B  Discriminant Validity
C  Convergent Validity
D  Face Validity
Question #14
A type of measurement validity that relies on some independent, outside verification.
A  Discriminant Validity
B  Construct Validity
C  Predictive Validity
D  Construct Validity
Question #15
an indicator must be associated with a preexisting indicator that is already judged to be valid.
A  Concurrent Validity
B  Content Validity
C  Discriminant Validity
D  Discriminant Validity
Question #16
When an indicator predicts future events that are logically related to the construct.
A  Predictive Validity
B  Criterion Validity
C  Construct Validity
D  Face Validity
Question #17
uses some standard or criteria to indicate a construct accurately
A  Discriminant Validity
B  Construct Validity
C  Criterion Validity
D  Predictive Validity
Question #18
A type of measurement validity that requires that a measure represent all aspects of the conceptual definition of a construct.
A  Criterion Validity
B  Convergent Validity
C  Content Validity
D  Face Validity
Question #19
A type of measurement validity in which an indicator makes sense as a measure of a construct when judged by others in the scientific community.
A  Convergent Validity
B  Face Validity
C  Criterion Validity
D  Content Validity
Question #20
All these are measures to improve reliability EXCEPT one
A  Clearly conceptualize all constructs.
B  conduct extensive research on the topic
C  Increase the level of measurement
D  Use multiple indicators of a variable
E  Use pilot studies and replication
Question #21
A measure that yields consistent results using different specific indicators, assuming that all measure the same thing.
A  Stability Reliability
B  Content Validity
C  Representative Reliability
D  Equivalence Reliability
Question #22
A measure that yields consistent results for various groups or subpopulations.
A  Face Validity
B  Representative Reliability
C  Equivalence Reliability
D  Stability Reliability
Question #23
Measurement of reliability across time; a measure that yields consistent results at different points assuming what is being measured does not change
A  Equivalence Reliability
B  Representative Reliability
C  Stability Reliability
D  Conceptual Definition
Question #24
The definition of a variable in terms of the specific operations or actions a researcher carries out to measure it.
A  Discrete Variables
B  Operational Definition
C  Face Validity
D  Conceptual Definition
Question #25
The process of moving from a construct’s conceptual definition to specific activities or measures that allow a researcher to observe it empirically.
A  Operationalization
B  Conceptual Definition
C  Stability Reliability
D  Conceptualization
Question #26
A careful, systematic definition of a construct that is explicitly written down.
A  Conceptual Definition
B  Discrete Variables
C  Operational Definition
D  Conceptualization
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Manush
Fresh Graduate
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