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Chapter 5 - Criminal Justice and Criminology Research Methods, 2nd Edition
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Research Design and Measurement
Chapter 5
1
Best Ways to Select Topics
Personal experience.
Curiosity based on something in the media.
The state of knowledge in the field.
Solving a problem.
Personal values.
Everyday life.
2
Conceptualization and Operationalization
Conceptualization: The process of developing clear, rigorous, systematic conceptual definition for abstract ideas/concepts.
Operationalization: The process of moving from a construct’s conceptual definition to specific activities or measure that allows a researcher to observe it empirically.
Operational Definition: The definition of a variable in terms of the specific action to measure or indicate it in the empirical world.
3
5 Suggestions for Constructing a Measure
Remember the conceptual definition
Keep an open mind.
Borrow from others.
Anticipate difficulties.
Do not forget your units of analysis.
4
Reliability and Validity
Reliability: The dependability or consistency of the measure of a variable.
Validity: How well an empirical indicator and the conceptual definition of the construct that the indicator is supposed to measure fit together.
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3 Types of Reliability
1. Stability Reliability: Measurement reliability across time; a measure that yields consistent results at different time points, assuming what is being measured does not itself change.
2. Representative Reliability: Measurement reliability across groups; a measure that yields consistent results for various social groups.
3. Equivalence Reliability: Measurements reliability across indicators; a measure that yields consistent results using different specific indicators, assuming that all measure the same construct.
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4 Types of Validity
1. Face Validity: A type of measurement validity in which an indicator makes sense as a measure of a construct in the judgment of others, especially in the scientific community.
2. Content Validity: Measurement validity that requires that a measure represent all the aspects of the conceptual definition of a construct.
3. Criterion Validity: Measurement validity that relies on some independent, outside verification.
4. Construct Validity: A type of measurement validity that uses multiple indicators of one construct converge and how well indicators of different construct diverge.
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Other Types of Validity
1. Concurrent Validity: Measurements validity that relies on a preexisting and already accepted measure to verify the indicator of a construct.
2. Predictive Validity: Measurement validity that relies on the occurrence of a future event or behavior that is logically consistent to verify the indicator of a construct.
3. Convergent Validity: A type of measurement validity for multiple indicators based on the idea that indicators of one construct will act alike or converge.
4. Discriminant Validity: Measurement validity for multiple indicators based on the idea that indicators of different constructs diverge.
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Levels of Measurement
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Different
Categories
Rank Order
Measured
Differences
True Zero
Nominal
X
Ordinal
X
X
Interval
X
X
X
Ratio
X
X
X
X
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Continuous and Discrete Variables
Continuous Variables: Measured with an infinite number of finer gradations between variable attributes.
Discrete Variables: Measured with only a limited number of distinct, separate categories.
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Scales and Indexes
Scale:
A class of quantitative data measures often used in survey research that captures the intensity, direction, level, or potency of a variable construct along a continuum. Most are at the ordinal level of measurement.
Index:
A measuring technique in which a researcher adds or combines numerous indicators of a construct into a single score.
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Likert and Thurstone Scaling
Likert Scale: A scale which people express responses in terms of ordinal-level categories.
Ex: Poor – Fair – Average – Good - Excellent
Thurstone Scaling: A scale which the researcher gives a group of judges and asks them to rank them along a continuum and then sorts results to select items the judges agreed on.
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