Measurement Methods Chapter 3
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Questions and Answers

What are the four preliminary steps of measurement?

  • Reliability, Validity, Truthfulness, Dependability
  • Articulating the topic, Determining the research problem, Identifying a purpose statement, Developing research questions (correct)
  • Conceptualization, Operationalization, Operational definition, Variables
  • Index, Scales, Likert scale, Semantic differential scale
  • Deductive logic begins with specific observations and then develops broader generalizations.

    False (B)

    Quantitative purpose statements focus on describing, developing, understanding, and discovering.

    False (B)

    What is the process of specifying meaning in research?

    <p>Conceptualization</p> Signup and view all the answers

    What is the process of translating a concept into something measurable?

    <p>Operationalization</p> Signup and view all the answers

    What is the difference between a conceptual definition and an operational definition?

    <p>A conceptual definition provides a theoretical meaning of a concept, while an operational definition describes how the concept will be measured in practice.</p> Signup and view all the answers

    What are the types of quantitative variables?

    <p>Categorical and Continuous (D)</p> Signup and view all the answers

    What are the levels of measurement?

    <p>Nominal, Ordinal, Interval, Ratio (C)</p> Signup and view all the answers

    A ratio variable has a true zero point, but an interval variable does not.

    <p>True (A)</p> Signup and view all the answers

    What is the difference between a dependent variable, an independent variable, and a control variable?

    <p>A dependent variable is the outcome being measured, an independent variable is the factor influencing the outcome, and a control variable is held constant during research. (B)</p> Signup and view all the answers

    What are the three criteria for a causal explanation?

    <p>Empirical association, temporal order, and non-spuriousness</p> Signup and view all the answers

    What is the difference between reliability and validity in research?

    <p>Reliability refers to the consistency of measurements, while validity addresses whether the measurement is actually measuring what it intends to. (D)</p> Signup and view all the answers

    Which of the following is NOT a type of validity?

    <p>Dependability (B)</p> Signup and view all the answers

    Qualitative research emphasizes trustworthiness and dependability, while quantitative research focuses on internal and external validity.

    <p>True (A)</p> Signup and view all the answers

    What is a composite measure?

    <p>A measure that combines multiple variables to capture a complex concept (D)</p> Signup and view all the answers

    What are some examples of composite measures?

    <p>Indices and scales, such as the Likert scale, semantic differential scale, Guttman scale, Bogardus social distance scale, and Thurstone scale.</p> Signup and view all the answers

    Flashcards

    Measurement Process

    Method of defining and detecting a concept empirically, transforming imprecision into precision, and specifying meaning.

    Conceptual Definition

    Explicit, clear working definition of a concept. Specifies the aspect of a concept being examined and excludes irrelevant components.

    Operationalization

    Process of translating a concept into something quantifiable and measurable.

    Operational Definition

    Specifies how a concept will be measured.

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    Homelessness (Operational Definitions)

    Different definitions exist, with various criteria for defining homelessness in a study.

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    Empirical Indicator

    Observable or measurable aspects used to represent a concept.

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    Setting Priorities

    Establishing order for investigation or enforcement, especially in studies with limited resources.

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    Conceptualizing Harm

    Defining what constitutes 'harm' in a specific context.

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    Operationalizing Harm

    Converting the abstract concept of 'harm' into measurable characteristics, with specified measures.

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    Concept to Variable

    Transformation of abstract concepts into observable characteristics within a study.

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    Variables

    Measurable characteristics, categorized by attributes or numeric values.

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    Dependent Variable

    Variable being observed or measured in a study.

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    Independent Variable

    Variable that is believed to affect another variable.

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    Control Variable

    Variable held constant to isolate the relationship between other variables.

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    Hypothesis

    Statement about the relationship between two or more concepts, potentially testable and falsifiable.

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    Reliability

    Consistency of a measure; same results with repeated testing.

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    Validity

    Truthfulness of a measure; accurately reflects the concept it intends to measure.

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    Qualitative Research

    Research approach focusing on understanding the context of an outcome and how events lead to specific results through experiences and behaviour.

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    Level of Measurement

    Classifying variables according to their level of precision.

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    Categorical Variable

    Variables with distinct categories rather than continuous values.

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    Nominal Variable

    Categorical variable with no inherent rank order.

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    Ordinal Variable

    Categorical variable with a ranked order but not precise distances between categories.

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    Continuous Variable

    Variables that can take on any value within a range.

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    Interval Variable

    Continuous variable with numeric distance between values, but no true zero.

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    Ratio Variable

    Continuous variable with numeric distance between values and a true zero point.

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    Composite Measures

    Combining multiple variables into a single measure to represent a complex concept.

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    Index

    Composite measure created by summing or averaging multiple indicators.

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    Scales

    Composite measures with structured relationships between items, representing a concept more thoroughly.

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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.

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