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Questions and Answers
What are the four preliminary steps of measurement?
What are the four preliminary steps of measurement?
Deductive logic begins with specific observations and then develops broader generalizations.
Deductive logic begins with specific observations and then develops broader generalizations.
False (B)
Quantitative purpose statements focus on describing, developing, understanding, and discovering.
Quantitative purpose statements focus on describing, developing, understanding, and discovering.
False (B)
What is the process of specifying meaning in research?
What is the process of specifying meaning in research?
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What is the process of translating a concept into something measurable?
What is the process of translating a concept into something measurable?
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What is the difference between a conceptual definition and an operational definition?
What is the difference between a conceptual definition and an operational definition?
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What are the types of quantitative variables?
What are the types of quantitative variables?
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What are the levels of measurement?
What are the levels of measurement?
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A ratio variable has a true zero point, but an interval variable does not.
A ratio variable has a true zero point, but an interval variable does not.
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What is the difference between a dependent variable, an independent variable, and a control variable?
What is the difference between a dependent variable, an independent variable, and a control variable?
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What are the three criteria for a causal explanation?
What are the three criteria for a causal explanation?
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What is the difference between reliability and validity in research?
What is the difference between reliability and validity in research?
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Which of the following is NOT a type of validity?
Which of the following is NOT a type of validity?
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Qualitative research emphasizes trustworthiness and dependability, while quantitative research focuses on internal and external validity.
Qualitative research emphasizes trustworthiness and dependability, while quantitative research focuses on internal and external validity.
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What is a composite measure?
What is a composite measure?
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What are some examples of composite measures?
What are some examples of composite measures?
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Flashcards
Measurement Process
Measurement Process
Method of defining and detecting a concept empirically, transforming imprecision into precision, and specifying meaning.
Conceptual Definition
Conceptual Definition
Explicit, clear working definition of a concept. Specifies the aspect of a concept being examined and excludes irrelevant components.
Operationalization
Operationalization
Process of translating a concept into something quantifiable and measurable.
Operational Definition
Operational Definition
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Homelessness (Operational Definitions)
Homelessness (Operational Definitions)
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Empirical Indicator
Empirical Indicator
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Setting Priorities
Setting Priorities
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Conceptualizing Harm
Conceptualizing Harm
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Operationalizing Harm
Operationalizing Harm
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Concept to Variable
Concept to Variable
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Variables
Variables
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Dependent Variable
Dependent Variable
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Independent Variable
Independent Variable
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Control Variable
Control Variable
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Hypothesis
Hypothesis
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Reliability
Reliability
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Validity
Validity
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Qualitative Research
Qualitative Research
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Level of Measurement
Level of Measurement
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Categorical Variable
Categorical Variable
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Nominal Variable
Nominal Variable
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Ordinal Variable
Ordinal Variable
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Continuous Variable
Continuous Variable
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Interval Variable
Interval Variable
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Ratio Variable
Ratio Variable
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Composite Measures
Composite Measures
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Index
Index
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Scales
Scales
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Study Notes
Quantitative and Qualitative Measurement
- Chapter 3 covers quantitative and qualitative measurement.
- Measurement has four preliminary steps: articulating the topic, determining the research problem, identifying a purpose statement, and developing research questions.
- Deductive logic examples include Skogan's (2009) study of the relationship between concerns about crime and confidence in police.
- Inductive logic examples include Dunham and Alpert's (2009) study of the dynamics of police-citizen encounters.
- Qualitative purpose statements describe, develop, understand, and discover.
- Quantitative purpose statements identify a theory and may state the directional relationship between concepts.
The Measurement Process
- Conceptualization involves specifying the meaning of a concept.
- A conceptual definition is a working definition of a concept.
- Operationalization describes how a concept is measured.
- Operational definitions include indicators and dimensions of a concept.
Defining Crime
- Crime definition varies over time and across countries.
- There are multiple precise ways to define crime.
- Crime has real-world effects.
Measurement Challenges
- Crime is a social construct.
- Crime definitions vary across time and place.
- Historical, cultural, and social influences affect crime.
- Power, class, gender, and race influence crime perceptions.
- Measurement requires precision and careful processes.
Measurement Process
- Abstract concepts need to be detected empirically.
- Measurement involves techniques or processes to define a concept.
- Measurement progresses from imprecision to conciseness, specifying meaning.
- An example is measuring “homelessness.”
Conceptual Definition
- Explicit working definition of a concept.
- Specific and clear.
- Precise about aspects of a concept, including some aspects and excluding others.
- Homeless example: Persons living on the streets or without a shelter, or with no usual place of residence.
Operationalization
- Translates a concept into something measurable.
- Includes defining what and how to measure a concept to ensure common understanding.
Operational Definitions (Homelessness)
- Homelessness (I): Persons without nighttime shelter.
- Chronic homelessness: Six or more months of homelessness.
- Episodic homelessness: Three or more episodes lasting less than six months.
- Alternatives include use of shelters as an empirical indicator, survey inclusions/exclusions and research design choices.
- Another operational definition example (II): Individual or family lacking a fixed, regular, and adequate nighttime residence.
- Definitions of unsheltered and sheltered homelessness exist as well.
Setting Priorities
- Police use various methods to set investigative priorities.
- The "harm" concept refers to negative consequences from crime.
- Organized crime groups pose an investigative priority.
- A project's purpose may be to provide police with a tool to use in setting priorities.
Conceptualizing Harm
- Defining "harm" involves specifying meaning and accepting multiple dimensions.
- Alternative conceptual definitions exist.
Operationalizing Harm
- Harm is defined as negative consequences of crime (e.g., physical and/or property damage).
- Operationalizing harm involves deciding how to measure it.
- Choices of measures depend on the definition of harm.
- Example operational definition: Harm is the monetary cost of damage from crime and costs of responding to crime.
Concept to Variable
- Transforming abstract concepts into measurable variables.
- Identifying empirical indicators; for example, a survey on business losses due to crime.
- Research choices need to be appropriate.
- Levels of measurement relevant to the research are important.
- Example of a scale: The Met. Harm Assessment Scale for gangs in Waltham Forest.
Variables
- Variables measure characteristics of concepts.
- Variables have attributes (categories or numeric values).
- Types of variables include dependent, independent, and control variables.
Hypotheses
- Hypotheses are statements that specify a relationship between concepts (directional or non-directional).
- An example is the alternative hypothesis (H1) and null hypothesis (H0).
Criteria for a Causal Explanation
- Causal explanations must satisfy three conditions:
- Empirical association
- Temporal order
- Non-spuriousness
- Variables to consider are confounding and intervening variables.
Causality in Qualitative Research
- Focuses on understanding the context of an outcome.
- It explores a series of events leading to a particular outcome.
- It investigates behavior in relation to individuals' beliefs.
Reliability and Validity
- Reliability: extent to which repeated measures of a concept produce consistent results.
- Validity: extent to which a measure captures the intended concept..
Quality
- Qualitative research criteria: truth value/credibility, applicability/transferability, consistency/replicability, neutrality/bias, and confirmability.
- Quantitative research criteria include internal validity, external validity and reliability, and objectivity.
Reliability in Quantitative Research
- Reliability is the consistency of a measure.
- Methods for assessing reliability include test-retest, cross-test, split-half, and inter-rater testing.
Validity in Quantitative Research
- Validity refers to accuracy.
- Types of validity include face validity, content validity, criterion validity, concurrent validity, predictive validity, construct validity, convergent validity, and discriminant validity.
Operationalizing Fear
- Fear can be operationalized in a variety of ways.
- Operational definitions based on survey questions exist.
- Fear threshold concept is important.
Operationalizing Gangs
- Factors defining gangs:
- Delinquent activity
- Organizational structure
- Self-nomination
- Involvement in illegal activities
- Level of organization
Qualitative Research
- Qualitative research uses paradigm-specific criteria for assessing rigour: dependability, and trustworthiness.
Level of Measurement
- Levels of measurement range from nominal to ratio variables.
- Nominal is the first level, categorizing like gender.
- Ordinal measures incorporate order like rank or preference.
- Interval measures use equal distances between points but lack a true zero point like temperature in Celsius.
- Ratio has a true zero point, like weight, distance, or income.
Quantitative Variables
- Categorical (discrete) variables:
- Nominal variables categorize and have no inherent order (like gender).
- Ordinal variables categorize and have an inherent order (like education levels).
- Continuous variables:
- Interval variables capture numeric differences, but have no true zero point (like IQ scores).
- Ratio variables capture numeric differences and include a true zero point (like income).
Summary (Categorical and Continuous Variables)
- Categorical variables represent categories (for example, gender).
- Continuous variables have numerical measures, such as distance and income.
- Higher-level variables allow for transformation into lower-level variables.
Choosing Level of Measurement
- To produce valid measures: variables should be mutually exclusive, exhaustive, and unidimensional.
- Consistency is important for all elements.
Composite Measures
- Composite measures combine multiple variables to measure a complex concept.
- The most common example used across disciplines is the index.
- Scales represent another common category; which include Likert, semantic differential, Guttman, Bogardus social distance, and Thurstone scales.
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Description
Explore the key concepts of quantitative and qualitative measurement in Chapter 3. This chapter outlines the preliminary steps of measurement, including articulating the topic and developing research questions. Additionally, it discusses deductive and inductive research logic with relevant studies.