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MEASUREMENT OF CONCEPTS:Conceptualization

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Research Methods ­STA630
VU
Lesson 15
MEASUREMENT OF CONCEPTS
In everyday usage, measurement occurs when an established yardstick verifies the height, weight, or
another feature of a physical object. How well you like a song, a painting, or the personality of a friend
is also measurement. In a dictionary sense, to measure is to discover the extent, dimensions, quantity, or
capacity of something, especially by comparison with a standard. We measure casually in daily life, but
in research the requirements for measurement are rigorous.
Certain things lend themselves to easy measurement through the use of appropriate instruments, as for
example, physiological phenomena pertaining to human beings such as blood pressure, pulse rates, and
body temperature, as well as certain physical attributes such as height and weight. But when we get into
the realm of people's subjective feelings, attitudes, ideology, deviance, and perceptions, the
measurement of these factors or variables becomes difficult. Like the natural scientist who invents
indirect measures of the "invisible" objects and forces of the physical world (magnetism ­ the force that
moves a metal toward the magnet), the social researcher devises measures for difficult- to-observe
aspects of the social world. For example, suppose you heard a principal complain about teacher morale
in a school. Teacher morale is an empirical reality, and we can create some instrument for its
measurement.
Measurement in Quantitative and Qualitative Research
Both qualitative and quantitative researchers use careful, systematic methods to gather high quality data.
Yet, differences in the styles of research and the types of data mean they approach the measurement
process differently. Designing precise ways to measure variables is a vital step in planning a study for
quantitative researchers. Qualitative researchers use wider variety of techniques to measure and create
new measures while collecting data. The two approaches to measurement have three distinctions.
One difference between the two styles involves timing. Quantitative researchers extensively think about
variables and convert them into specific actions during a planning stage that occurs before and separate
from gathering or analyzing data. Measurement for qualitative researchers occurs in the data collection
process, and only a little occurs in a separate, planning stage prior to data gathering.
A second difference involves the data itself. Quantitative researchers want to develop techniques that
can produce quantitative data (i.e. data in the form of numbers). Thus, the researcher moves from
abstract ideas, or variables, to specific data collection techniques to precise numerical information
produced by the techniques. The numerical information is an empirical representation of the abstract
ideas. Data for qualitative researchers sometimes is in the form of numbers; more often it includes
written or spoken word, actions, sounds, symbols, physical objects, or visual images. The qualitative
researcher does not convert all observations into a single, common medium such as numbers. Instead he
or she develops many flexible, ongoing processes to measure that leaves the data in various shapes,
sizes, and forms.
All researchers combine ideas and data to analyze the social world. In both research styles, data are
empirical representation of concepts, and measurement is a process that links data to concepts. A third
difference is how the two styles make such linkages. Quantitative researchers contemplate and reflect
on concepts before they gather data. They construct measurement techniques that bridge concepts and
data. The measurement techniques define what the data will be and are directions for gathering data.
Qualitative researchers also reflect on ideas before data collection, but they develop many, if not most,
of their concepts during data collection activities. Researchers start gathering data and creating ways to
measure based what they encounter. As they gather data, they reflect on the process and develop new
ideas. The ideas give them direction and suggest new ways to measure.
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Research Methods ­STA630
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Here we shall focus on quantitative measurement. Here measurement consists of assigning numbers to
empirical events in compliance with set rules. This definition implies that measurement is a three-part
process:
1. Selecting observable empirical events.
2. Developing a set of mapping rules: a scheme for assigning numbers or symbols to represent
aspects of the event being measured.
3. Applying the mapping rule(s) to each observation of that event.
Assume you are studying people who attend an auto show where all year's new models are on display.
You are interested in learning the male-to female ratio among attendees. You observe those who enter
the show area. If a person is female, you record an F; if male, an M. Any other symbols such as 0 and 1
may also be used if you know what group the symbol identifies.
Researchers might also want to measure the desirability of the styling of the new Espace van. They
interview a sample of visitors and assign, with a different mapping rule, their opinions to the following
scale:
What is your opinion of the styling of the Espace van?
Very desirable 5_______4_______3_______2________1 Very undesirable
We can assign a weight-age (score) like:
5 if it is very desirable
4 if desirable
3 if neither
2 if undesirable
1 if very undesirable.
All measurement theorists would call such opinion rating scale as a form of measurement.
What is measured?
Variable being studied in research may be classified as objects or as properties. Objects include the
things of ordinary experience, such as tables, people, books, and automobiles. Objects also include
things that are not as concrete, such as genes, attitudes, neutrons, and peer group pressures. Properties
are the characteristics of the objects. A person's physical properties may be stated in terms of weight,
height, and posture. Psychological properties include attitudes, intelligence, motivation, perceptions,
etc. Social properties include leadership ability, class affiliation, or status. These and many other
properties of an individual can be measured in a research study.
In a literal sense, researchers do not measure either objects or properties. They measure indicants of the
properties or indicants of the properties of the objects. The properties like age, years of experience, and
the number of calls made per week are easier to indicate and there is expected to be lot of agreement.
In contrast, it is not easy to measure properties like "motivation," "ability to stand stress," "problem-
solving ability," and "persuasiveness." Since each property cannot be measured directly, one must infer
its presence or absence by observing some indicant or pointer measurement. When you begin to make
these inferences, there is often disagreement about how to operationalize the indicants.
The preceding discussion suggests two types of variables: one lends itself to objective and precise
measurement; the other is more nebulous and does not lend itself to accurate measurement because of its
subjective nature. However, despite the lack of physical measuring devices to measure the latter type,
there are ways to tapping the subjective feelings and perceptions of individuals. One technique is to
reduce the abstract notions, or concepts such as motivation, involvement, satisfaction, buyer behavior,
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Research Methods ­STA630
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stock market exuberance, and the like, to observable behavior and characteristics. In other words, the
abstract notions are broken down into observable characteristic behavior. Reducing the abstract
concepts to render them measurable in a tangible way is called operationalizing thee concepts.
Parts of the Measurement Process
When a researcher measures, he or she takes a concept, idea, or construct and develops a measure (i.e. a
technique, a process, a procedure) by which he or she can observe the idea empirically. Quantitative
researchers primarily follow a deductive route.  To begin with the abstract idea, follow with a
measurement procedure, and end with empirical data that represent the ideas. Qualitative researchers
primarily follow inductive route. They begin with empirical data, follow with abstract ideas, follow
with processes relating with ideas and data, and end with a mixture of ideas and data.
Researchers use two processes: conceptualization and operationalization in measurement.
a. Conceptualization
Conceptualization is the process of taking a construct and refining it by giving it a conceptual or
theoretical definition. A conceptual definition is definition in abstract, theoretical terms. It refers to
other ideas or constructs. There is no magical way to turn a construct into a precise conceptual
definition. It involves thinking carefully, observing directly, consulting with others, reading what others
have said, and trying possible definitions.
A good definition has one clear, explicit, and specific meaning. There is no ambiguity or vagueness in
the concepts (e.g. street gang, morale, motivation, social class, consumer satisfaction).  A single
construct can have several definitions, and people may disagree over definitions. Conceptual definitions
are linked to theoretical frameworks and to value positions. For example, a conflict theorist may define
social class as the power and property a group of people in society has or lacks.  A structural
functionalist defines it in terms of individuals who share a social status, life-style, or subjective
identification. Although people disagree over definitions, the researcher should always state explicitly
which definition he or she is using.
Before you can measure, you need a concept. You also need to distinguish what you are interested in
from other things. The idea that you first need a construct or concept of what is to be measured simply
makes sense. How can you observe or measure something unless you know what you are looking for?
For example, we want to measure teacher morale. We first define teacher morale. What does the
construct morale mean? As a variable construct, it takes on different values ­ high versus low or good
versus bad morale. Next we create a measure of this construct. This could take the form of survey
questions, an examination of school records, or observations of teachers. Also we distinguish morale
from other things in the answers to survey questions, school records, or observations.
How can we develop a conceptual definition of teacher morale, or at least a tentative working definition
to get started? Look in the everyday understanding of morale ­ something vague like "how people feel
about things."  Also look in the dictionary, which gives definitions like "confidence, spirit, zeal,
cheerfulness, esprit de corps, and mental condition towards something." Look into the review of
literature and see how other researchers have defined this concept. In this effort we collect various
definitions, parts of definitions, and related ideas, whereby we draw the boundaries of the core idea.
We find that most of these definitions say that morale is a spirit, feeling, or mental condition toward
something, or a group feeling. But we are interested in teacher morale. We can ask teachers to specify
as what does this construct mean to them? One strategy is to make a list of examples of high or low
teacher morale. High teacher morale includes saying positive things about the school, not complaining
about extra-work or enjoying being with students.  Low morale includes complaining a lot, not
attending school events unless required to, or looking for other jobs.
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Research Methods ­STA630
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Morale involves a feeling toward something else; a person has morale with regard to something. A list
of various "somethings" toward which teachers have feelings (e.g. students, parents, pay, the school
administration, other teachers, the profession of teaching). Are there several kinds of teacher morale or
all these "somethings" aspects of one construct? We have to decide whether morale means a single,
general feeling with different parts or dimensions, or several distinct feelings.
What unit of analysis does our construct apply to: a group or an individual? Is morale a characteristic of
an individual, of a group, or of both?
A researcher must distinguish the construct of interest from related constructs. How is our construct of
teacher morale similar to or different from related concepts? For example, does morale differ from
mood? We decide that mood is more individual and temporary than morale. Morale is a group feeling
that includes positive or negative feelings about the future as well as other beliefs and feelings.
Who is a teacher? We have to decide.
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Table of Contents:
  1. INTRODUCTION, DEFINITION & VALUE OF RESEARCH
  2. SCIENTIFIC METHOD OF RESEARCH & ITS SPECIAL FEATURES
  3. CLASSIFICATION OF RESEARCH:Goals of Exploratory Research
  4. THEORY AND RESEARCH:Concepts, Propositions, Role of Theory
  5. CONCEPTS:Concepts are an Abstraction of Reality, Sources of Concepts
  6. VARIABLES AND TYPES OF VARIABLES:Moderating Variables
  7. HYPOTHESIS TESTING & CHARACTERISTICS:Correlational hypotheses
  8. REVIEW OF LITERATURE:Where to find the Research Literature
  9. CONDUCTING A SYSTEMATIC LITERATURE REVIEW:Write the Review
  10. THEORETICAL FRAMEWORK:Make an inventory of variables
  11. PROBLEM DEFINITION AND RESEARCH PROPOSAL:Problem Definition
  12. THE RESEARCH PROCESS:Broad Problem Area, Theoretical Framework
  13. ETHICAL ISSUES IN RESEARCH:Ethical Treatment of Participants
  14. ETHICAL ISSUES IN RESEARCH (Cont):Debriefing, Rights to Privacy
  15. MEASUREMENT OF CONCEPTS:Conceptualization
  16. MEASUREMENT OF CONCEPTS (CONTINUED):Operationalization
  17. MEASUREMENT OF CONCEPTS (CONTINUED):Scales and Indexes
  18. CRITERIA FOR GOOD MEASUREMENT:Convergent Validity
  19. RESEARCH DESIGN:Purpose of the Study, Steps in Conducting a Survey
  20. SURVEY RESEARCH:CHOOSING A COMMUNICATION MEDIA
  21. INTERCEPT INTERVIEWS IN MALLS AND OTHER HIGH-TRAFFIC AREAS
  22. SELF ADMINISTERED QUESTIONNAIRES (CONTINUED):Interesting Questions
  23. TOOLS FOR DATA COLLECTION:Guidelines for Questionnaire Design
  24. PILOT TESTING OF THE QUESTIONNAIRE:Discovering errors in the instrument
  25. INTERVIEWING:The Role of the Interviewer, Terminating the Interview
  26. SAMPLE AND SAMPLING TERMINOLOGY:Saves Cost, Labor, and Time
  27. PROBABILITY AND NON-PROBABILITY SAMPLING:Convenience Sampling
  28. TYPES OF PROBABILITY SAMPLING:Systematic Random Sample
  29. DATA ANALYSIS:Information, Editing, Editing for Consistency
  30. DATA TRANSFROMATION:Indexes and Scales, Scoring and Score Index
  31. DATA PRESENTATION:Bivariate Tables, Constructing Percentage Tables
  32. THE PARTS OF THE TABLE:Reading a percentage Table
  33. EXPERIMENTAL RESEARCH:The Language of Experiments
  34. EXPERIMENTAL RESEARCH (Cont.):True Experimental Designs
  35. EXPERIMENTAL RESEARCH (Cont.):Validity in Experiments
  36. NON-REACTIVE RESEARCH:Recording and Documentation
  37. USE OF SECONDARY DATA:Advantages, Disadvantages, Secondary Survey Data
  38. OBSERVATION STUDIES/FIELD RESEARCH:Logic of Field Research
  39. OBSERVATION STUDIES (Contd.):Ethical Dilemmas of Field research
  40. HISTORICAL COMPARATIVE RESEARCH:Similarities to Field Research
  41. HISTORICAL-COMPARATIVE RESEARCH (Contd.):Locating Evidence
  42. FOCUS GROUP DISCUSSION:The Purpose of FGD, Formal Focus Groups
  43. FOCUS GROUP DISCUSSION (Contd.):Uses of Focus Group Discussions
  44. REPORT WRITING:Conclusions and recommendations, Appended Parts
  45. REFERENCING:Book by a single author, Edited book, Doctoral Dissertation