Chapter 8
Measurement in Communication Research
Outline |
Concepts
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| I. The Role of Sound Measurement in Communication Research A. Measurement as a Foundation for Research --sound measurement required: 1. to isolate variables |
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2. to prevent attenuation |
attenuation of results: a reduction of the size of observed effects because of errors in measurement |
| B. Levels of Measurement |
measurement: assigning numbers to variables according
to some system nominal level measurement: use of numbers as simple identification of variables ordinal level measurement: use of rank order to determine differences interval level measurement: distances between measured items are assessed as matters of degree ratio level measurement: extension of interval measurement to include an "absolute zero." --an "absolute zero" means that a score of 0 indicates that the property measured is completely missing |
| II. Characteristics of Operational Definitions and Measures A. The Requirement of Reliability |
the fallacy of the false precision: a tendency for researchers to claim precision in their measurements that is not founded in the data |
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1. Defining Reliability --factors contributing to the unreliability of a test are: 1. familiarity with the particular test form; 2. fatigue; 3. emotional strain; 4. physical conditions; 5. respondent health; 6. differences in memory; 7. respondent experience; 8. knowledge 2. Methods to Assess Reliability |
reliability: the internal consistency of
a measure reliability coefficient: a correlation that measures the consistency of a measure (ranging from 0 to 1) |
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a. test-retest reliability |
test-retest reliability: giving the measure twice and looking at the consistency between scores |
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b. alternative forms reliability |
alternate forms: constructing different forms of the same test from a common pool of measurement items and then giving different forms to the same group of people and assessing consistency |
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c. split half reliability |
split half: examining the consistency between two halves of a test scored separately |
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d. item to total reliability |
item to total: computing the correlation of items with the total test |
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e. intercoder reliability |
intercoder reliability: assessing consistency with which different raters look at behavior and categorize it by using some sort of check sheet--Scott's pi used in content analysis |
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f. statistical shortcuts |
statistical shortcuts: methods to obtain reliability
coefficients rapidly --K-R 20 (Kuder- Richardson formula 20) used when researchers want to determine the reliability of a measure that has items that are scored as "correct" or "incorrect" answers --Cronbach's coefficient alpha: used to reveal reliability for test items that are on the interval scales and for which no "correct" answers are identified
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| B. The Requirement of Validity 1. Validity Defined |
validity: the consistency of a measure with a criterion (the degree to which a measure actually measures what is claimed) |
| 2. The Relationship Between Reliability and Validity --though a reliable test may not be valid, one cannot have a valid measure without its first being reliable 3. Methods to Assess Validity |
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| a. face validity | face validity: researchers' looking at the content of the measurement items and advancing an argument that, on its face, the measure identifies what is claimed |
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b. expert jury validity |
expert jury validity: having a group of experts in the subject matter of the measurement judge its merit |
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c. concurrent validity |
concurrent validity: correlating a new measure with a previously validated measure of the construct |
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d. predictive validity |
predictive validity: the degree to which a measure predicts known groups in which the construct must exist |
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e. construct validity |
construct validity: administering a new measure to subjects along with at least two other measures (one of these measures should be a valid measure of a construct that is known conceptually to be directly related to the new measure, and another measure should be known conceptually to be inversely related to the construct). |
| III. Popular Tools in Communication Studies A. Using Existing Measures (sources of measures in communication) --selecting measures depends on: suitability to the sample; reliability and validity; length of the measure; format of the measure use of self-report measures: --concerns with direct account reports: subjects may not know what they are being asked; subjects may exaggerate the frequency of socially desirable behavior; researchers must add control checks --concerns with "recall" studies: ability to recall accurately may be limited (control checks often must be added) |
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| B. Composing Measures steps: 1. examine conceptual definitions and search scholarly discussions 2. decide on a format 3. secure feedback from a small group of people from the population in which you plan to conduct the final study 4. attempt to get evidence of reliability and validity of the measure C. Popular Methods for Measurement 1. Methods to Measure Judgments |
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a. Thurstone Equal Appearing Interval Scales |
Thurstone equal appearing interval scales: composed of statements for which a point value is associated |
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b. Likert Scales |
Likert scales: statements expressing a point of view on an issue by having subjects indicate their responses on scales ranging from Strongly Agree, Agree, Neither Agree nor Disagree, Disagree, Disagree Strongly |
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c. Guttman Scalogram |
Guttman scalogram: a series of statements on a topic arranged according to their level of intensity (since statements are arranged on a single continuum, the number of statements with which a person agrees also reveals which statements the person accepted) |
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d. Semantic Differential- Type Scales |
semantic differential-type scales: a type of scale using pairs of adjectives (often separated by seven points) |
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e. Methods for Measure- ment of Achievement |
forced choice format: a method in
which researchers give respondents questions that request them to choose between two
alternatives paired comparison method: subjects are given all alternatives in combinations taken two at a time categories of measurement in communication: --cognitive assessments: measures of things that people know or believe including aptitude and achievement measures --affective assessments assessments: measures of sentiments and feelings people have toward things including preferences, attitudes, and socio- emotional characteristics --perceptual motor assessments: measures that deal with one's aptitude toperform specific tasks, including skills involving manual activity --personality assessments: measures that isolate elements of an individual's character --behavior assessments: observation measures that identify the activities of people --demographic assessments: measures that identify environmental or physical conditions |