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Measurement, Scales and Attitudes
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Nominal
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Ordinal?
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Interval
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Ratio
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Types of Scales Nominal - Identification only – Ex (players numbers, male=1 female=0) Ordinal -Ranking – Ex (grades?) SEI score Interval –Ranks and distinguishes intervals – Ex (temperature) Ratio – absolute quantities – Ex (weight, degrees Kelvin)
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You Try Which college is your major housed in? 1. CLS 2. CBA 3. SAH How much money did you spend on alcohol at the bars in the last 7 days?_____Dollars – Or answer categories 1. $0-10 2. $11-20 3. $21 +
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Practice Problems
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Appropriate Statistical Analysis Scale matters. – Usually
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Index Measures Conglomerates of questions Mapping multiple responses to a single metric Consumer Sentiment Index
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Good Measurement Reliable Valid Sensitive
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Wrong
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Validity-reliability bulls eye (Babbie, 1998) Both valid & reliable Reliable, but invalid
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Reliability Degree to which measures are free from error
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Reliability Repeatability – Test-Retest method- High correlation suggests stability/reliability
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Reliability Internal Consistency – Split-half method- take results form even questions and compare to odd number questions – Equivalent form- asking different but equivalent questions of a group, and comparing their answers on the separate questions
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Validity the ability to measure that which you intend to measure Reliability is a necessary condition for validity, not sufficient – Example - if the scale always reads 5 pounds too much. It is reliable, but not a valid measure of weight.
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Types of Validity Content (Face) validity- agreement that a scale accurately measures that which it is intended to Criterion validity- the ability of a measure to correlate highly with another measure of the same construct – Concurrent validity- measures made concurrently – Predictive validity- correlates with future measure Construct validity- The ability of a measure to confirm a network of related hypothesis
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Types of Validity Content (Face) validity- agreement that a scale accurately measures that which it is intended to
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Types of Validity Criterion validity- the ability of a measure to correlate highly with another measure of the same construct – Concurrent validity- measures made concurrently – Predictive validity- correlates with future measure
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Types of Validity Construct validity- The ability of a measure to confirm a network of related hypothesis
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Sensitivity a measurements ability to measure variability in stimuli Without variability in response we have nothing of interest. – We can classify but not understand or explain
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Attitude Measurement Attitude – an enduring disposition which contains these components: – Affective (emotional) – Cognitive (reason) – Behavioral (action) Example (sexual identity) Hypothetical Construct
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Male Sex Behavior and Identification Col1 exclusively male Col 2 both Col 3 exclusively female
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Female Sex Behavior and Identification Col1 exclusively male Col 2 both Col 3 exclusively female
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Male Sexual Attraction and Identification
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Female Sexual Attraction and Identification
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Practice Problems Drinking Alcohol Religion Music
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Concept Measurement Awareness: measure of knowledge; understanding; familiarity Behavior: measure of actions/choices that took place Motivation: measure of why people behave as they do Opinion: measure of belief or attitude Preference: measure of likes/dislikes Desire: measure of wants Interest: measure of concerns/curiosities Intention: measure of anticipated behavior Demographic: measure of respondent’s characteristics Perceptions of above?
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What is Most Appropriate?
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Methods of Measuring Attitudes Rating – Likert Scale – carefully constructed attitudinal measure which asks people for their agreement with a statement – Example: Please rate each of the following, on a scale from 1 to 10, with 1 being least important and 10 being most important…
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Methods of Measuring Attitudes Ranking – Rank choices from most important to least important Example: Of the following 10 items please rank them in order of importance, with 1 being least important and 10 being most important.
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Source: http://blog.vovici.com/blog/bid/18228/Ranking-Questions-vs-Rating-Questions
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Sorting – Asks respondents to sort items/names into groups
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Multiple Choice – Provide alternative responses that R might choose.
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Monadic Q. How satisfied are you with your current job? 1. Very Satisfied 2. Somewhat Satisfied 3. Not Very Satisfied
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Comparative Q. Compared to your current job how much responsibility did you have at your last job? 1. More 2. About the Same 3. Less
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How many categories are needed?
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Balanced Q. How satisfied are you with your current cable service? 1. Very Satisfied 2. Somewhat Satisfied 3. Somewhat unsatisfied 4. Very unsatisfied
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Unbalanced Q. How satisfied are you with your current cable service? 1. Very Satisfied 2. Somewhat Satisfied 3. Somewhat unsatisfied
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Forced Choice Does not allow the respondent to offer no opinion, which is different than a neutral opinion
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Unforced Choice Allows respondents to opt out of providing an opinion.
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JOHN ALLEN PAULOS Unless we know how things are counted, we don’t know if it’s wise to count on the numbers.
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Albert Einstein Not everything that can be counted counts, and not everything that counts can be counted.
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