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CONCEPTUALIZATION, OPERATIONALIZATION, AND MEASUREMENT

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Title: CONCEPTUALIZATION, OPERATIONALIZATION, AND MEASUREMENT


1
CHAPTER 5
  • CONCEPTUALIZATION, OPERATIONALIZATION, AND
    MEASUREMENT

2
Conceptualization - the process of coming to an
agreement about how to use a social scientific
term (e.g., alienation, poverty, social class,
romantic love, democracy).Conceptualization
results in definitions of concepts mental
images of what we mean by a term.
3
Can concepts be defined objectively?
  • If not, how can we conduct research using
    concepts?
  • Intersubjectivity agreements among subjective
    beings (humans) about the definitions of terms
    used in research.

4
Types of definitions.  Which would be useful to a
researcher?
  • Real definition
  • Nominal definition
  • Operational definition

5
  • Real definition a statement of the essential
    nature or essential attributes of a term
  • Nominal definition a definition that is
    assigned to a term for purposes of communication
    or inquiry a working definition

6
  • Operational definition a specification of how a
    defined term will be measured for purposes of
    research development of specific research
    procedures that will result in empirical
    observations representing the concept in the real
    world

7
Linking conceptualization and data collection -
C-M Diagram
  • Conceptualization

Nominal Definition
Operational Definition
Measurements in the Real World
8
Conceptualization practice
  • The concept might be defined in an ordinary
    dictionary and might also have been used
    previously in social scientific theory and/or
    research.
  • Web of Online Dictionaries
  • Sociology Dictionary

9
  • Consider possible indicators of the concept -
    What would indicate the presence of the concept
    in empirical reality, and what would indicate its
    absence?
  • What indicators could you use to determine
    whether people are experiencing the emotion
    called "romantic love."

10
  • Consider possible dimensions of the concept -
    different facets or aspects of the concept. 
    Concepts can be unidimensional or
    multidimensional.

11
They make it look easy, but its not!
  • Definitions of concepts in the social scientific
    literature
  • Romantic love (according to Rubin)
  • Workplace alienation (according to Blauner)

12
Operationalization choices
  • Level of measurement
  • Range of variation of attributes (nature of
    extremes)
  • Precision of variations between extremes
  • Use of Single or Multiple Indicators

13
Level of measurement

14
GSS variables and LOM
  • MARITAL
  • AGE
  • EDUC
  • DEGREE
  • ZODIAC
  • RELIG
  • TRAUMA1
  • CONLEGIS
  • MILQUAL
  • PRES96
  • WRKSTAT
  • INCOME98
  • SIBORDER

15
Implications of levels of measurement for data
analysis
  • Restrictions on quantitative data analysis
    techniques
  • Higher level may be converted to lower level
    (recoded), but not vice versa

16
Range of variation of attributes (nature of
extremes)
  • To what extent are we measuring the extremes of a
    phenomenon?
  • GSS examples - POLVIEWS, CONLEGIS, COMMUN

17
Precision of variations between extremes
  • How precisely defined are the attributes of the
    variable between the extremes?
  • Examples from 1996 General Social Survey 1996
    GSS data

18
Use of Single or Multiple Indicators
  • GSS - Attitudes toward abortion
  • One item ABLEGAL
  • Multiple items - ABNOMORE, ABDEFECT, ABRAPE,
    ABPOOR, ABHLTH, ABANY, ABSINGLE

19
Index construction
  • Combining responses to two or more items into one
    ordinal item (index)
  • GSS Constructing an index (ABINDX) combining the
    responses to ABNOMORE, ABDEFECT, ABRAPE, ABPOOR,
    ABHLTH, ABANY, and ABSINGLE
  • Please tell me whether or not you think it
    should be possible for a pregnant woman to obtain
    a legal abortion if (1Yes, 2No)

20
(1) ABNOMORE (2) ABDEFECT (3) ABRAPE (4)
ABPOOR (5) ABHLTH (6) ABANY (7) ABSINGLE


21
Criteria for measurement quality
  • 1. Precision
  • 2. Accuracy
  • 3. Reliability
  • 4. Validity

22
1. Precision
  • Definition - the fineness of distinctions made
    between attributes of a variable
  • Which is more precise?
  • EDUC or DEGREE?
  • RINCOM98 or Gross income reported to the IRS last
    year?
  • Necessity for precision depends on purpose of the
    research

23
2. Accuracy
  • Definition - the extent to which the measure is a
    reflection of the real world degree of
    conformity of a measure to a standard or a true
    value.
  • Survey example - Which one is likely to be more
    accurate?
  • What is your age?
  • In what year were you born?

24
3. Reliability
  • Definition - whether a measurement technique,
    applied repeatedly to the same phenomenon would
    yield the same result
  • Types of reliability
  • a. Test-retest
  • b. Split half
  • c. Use of established measures
  • d. Reliability of research workers

25
3. Reliability - a. Test-retest
  • Definition - testing for reliability using two
    tests, separated by a time interval, in a
    situation in which the researcher does not expect
    the variable of interest to change in value.
  • Examples knowledge of research methods,
    attitudes toward abortion (ABDEFECT), level of
    formal education (EDUC)

26
3. Reliability - b. Split half
  • Definition - testing for reliability of a
    multiple-item measure by splitting it randomly
    into two halves and seeing if the two halves
    correspond in value.
  • Examples 150-item test of knowledge of research
    methods, 50-item romance attitudes scale

27
3. Reliability - c. Use of established measures
  • Many measures of social scientific concepts have
    already been tested and shown to have adequate
    reliability by previous researchers.
  • Examples
  • Rubin's definition and operationalization of
    romantic love
  • Sroles definition and operationalization of
    anomia

28
3. Reliability - d. Reliability of research
workers
  • Research workers may make mistakes which produce
    unreliability (e.g., interviewers reading
    questions incorrectly coders entering
    information incorrectly into data files).
  • Careful training and supervision of research
    workers is essential to maximizing reliability.
  • If the research workers are the data collectors,
    this is also called Inter-Rater or Inter-Observer
    Reliability

29
4. Validity
  • Definition - whether a measurement technique
    adequately reflects the nominal definition of the
    concept

30
Validity on the C-M Diagram
  • Conceptualization

Nominal Definition
Does the measurement technique reflect the
nominal definition?
Operational Definition
Measurements in the Real World
31
Approaches to Validity
  • 1. Face Validity
  • 2. Content Validity
  • 3. Criterion-related Validity
  • 4. Construct Validity

32
1. Face Validity - Definition
  • Definition - does the measurement technique fit
    common agreements and mental images concerning a
    particular concept does it seem reasonable?

33
1. Face Validity - Example
  • Nominal Definition Religiosity - extent to which
    a respondent adheres to a set of cultural ideas,
    symbols, and practices that focus on the meaning
    of life and the nature of the unknown.
  • Measurement technique - ask respondents what
    their shoe size is

34
2. Content Validity
  • Definition - the degree to which a measure
    covers the range of meanings included within a
    concept
  • Examples
  • Does an exam assess all aspects of course
    content?
  • Do questions asking respondents opinion of
    abortion in case of rape and in case the mothers
    health is endangered assess all aspects of
    abortion issues?

35
3. Criterion-related Validity
  • Definition - the degree to which a measure
    relates with some external criterion measuring
    the same concept
  • Example
  • Does SAT score predict performance in college?
    Some research data

36
4. Construct Validity
  • Definition - the degree to which a measure is
    related to other variables within a system of
    theoretical relationships as the researcher
    hypothesizes

37
4. Construct Validity - Example
  • Hypotheses
  • Women should support abortion more frequently
    than men do.
  • Catholics should oppose abortion more frequently
    than those of other or no religious affiliation.
  • Research results If hypotheses are supported by
    research, construct validity of measurement
    technique is supported. If not, poor
    measurement, poor hypotheses, and/or poor
    research.

38
Does this figure make sense (Figure 5-2, p. 140)?
39
A Caution!
  • Validity has to do with assessing whether the
    measures of our concepts reflect the nominal
    definition we have assigned, NOT the "real"
    definition!
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