Soc 497 - Research Methods » Spring 2019 » Chapter 7
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Question #1
A careful, systematic definition of a construct that is explicitly written down.
A.
Conceptual Definition
B.
Conceptualization
C.
Discrete Variables
D.
Operational Definition
Question #2
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 #3
The definition of a variable in terms of the specific operations or actions a researcher carries out to measure it.
A.
Face Validity
B.
Discrete Variables
C.
Operational Definition
D.
Conceptual Definition
Question #4
Measurement of reliability across time; a measure that yields consistent results at different points assuming what is being measured does not change
A.
Representative Reliability
B.
Stability Reliability
C.
Equivalence Reliability
D.
Conceptual Definition
Question #5
A measure that yields consistent results for various groups or subpopulations.
A.
Equivalence Reliability
B.
Face Validity
C.
Stability Reliability
D.
Representative Reliability
Question #6
A measure that yields consistent results using different specific indicators, assuming that all measure the same thing.
A.
Stability Reliability
B.
Content Validity
C.
Equivalence Reliability
D.
Representative Reliability
Question #7
All these are measures to improve reliability EXCEPT one
A.
Use pilot studies and replication
B.
conduct extensive research on the topic
C.
Use multiple indicators of a variable
D.
Increase the level of measurement
E.
Clearly conceptualize all constructs.
Question #8
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.
Content Validity
C.
Face Validity
D.
Criterion Validity
Question #9
A type of measurement validity that requires that a measure represent all aspects of the conceptual definition of a construct.
A.
Face Validity
B.
Content Validity
C.
Criterion Validity
D.
Convergent Validity
Question #10
uses some standard or criteria to indicate a construct accurately
A.
Construct Validity
B.
Criterion Validity
C.
Discriminant Validity
D.
Predictive Validity
Question #11
When an indicator predicts future events that are logically related to the construct.
A.
Predictive Validity
B.
Criterion Validity
C.
Face Validity
D.
Construct Validity
Question #12
an indicator must be associated with a preexisting indicator that is already judged to be valid.
A.
Concurrent Validity
B.
Discriminant Validity
C.
Content Validity
D.
Discriminant Validity
Question #13
A type of measurement validity that relies on some independent, outside verification.
A.
Construct Validity
B.
Predictive Validity
C.
Construct Validity
D.
Discriminant Validity
Question #14
It means that multiple indicators in the same construct will act alike or operate in similar ways.
A.
Construct Validity
B.
Discriminant Validity
C.
Face Validity
D.
Convergent Validity
Question #15
A type of measurement validity for Multiple indicators based on the idea that indicators of different
A.
Construct Validity
B.
Discriminant Validity
C.
Discriminant Validity
D.
Construct Validity
Question #16
Variables that are measured on a continuum and have a large number of values/attributes.
A.
Content Validity
B.
Likert Scales
C.
Continuous Variables
D.
Exhaustive attributes
Question #17
Variables that have a relatively fixed, and limited set of values/attributes.
A.
Discrete Variables
B.
Mutually Exclusive Attributes
C.
Construct Validity
Question #18
A system for organizing information in the measurement of variables
A.
Content Validity
B.
Levels of Measurement
C.
Content Validity
D.
Mutually Exclusive Attributes
Question #19
The lowest, least precise level of measurement for which there is a difference in type only among the categories/attributes of a variable.
A.
Ordinal Level
B.
Continuous Variables
C.
Criterion Validity
D.
Nominal Level
Question #20
A level of measurement that identifies a difference among categories/attributes of a variable and allows the categories to be rank ordered.
A.
Interval Level
B.
Mutually Exclusive Attributes
C.
Continuous Variables
D.
Ordinal Level
Question #21
A level of measurement that identifies differences among variable attributes, ranks categories, and Measures distance between categories, but has no true zero
A.
Interval Level
B.
Ratio Level
C.
Discrete Variables
D.
Nominal Level
Question #22
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.
Ratio Level
C.
Discrete Variables
D.
Ordinal Level
Question #23
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.
Ordinal Level
B.
Interval Level
C.
Nominal Level
D.
Mutually Exclusive Attributes
Question #24
The principle that attributes or categories in a measure should provide a category for all possible responses.
A.
Ratio Level
B.
Nominal Level
C.
Ordinal Level
D.
Exhaustive attributes
Question #25
A measure in which a researcher wants to capture the intensity, direction, level, or potency of a variable along a continuum.
A.
Exhaustive attributes
B.
Mutually Exclusive Attributes
C.
Scale
D.
Concurrent Validity
Question #26
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.
Exhaustive attributes
B.
Predictive Validity
C.
Likert Scales
D.
Construct Validity
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