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Measurement, Scales and Attitudes. Nominal Ordinal?

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Presentation on theme: "Measurement, Scales and Attitudes. Nominal Ordinal?"— Presentation transcript:

1 Measurement, Scales and Attitudes

2 Nominal

3 Ordinal?

4 Interval

5 Ratio

6 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)

7 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 +

8 Practice Problems

9 Appropriate Statistical Analysis Scale matters. – Usually

10 Index Measures Conglomerates of questions Mapping multiple responses to a single metric Consumer Sentiment Index

11 Good Measurement Reliable Valid Sensitive

12 Wrong

13 Validity-reliability bulls eye (Babbie, 1998) Both valid & reliable Reliable, but invalid

14 Reliability Degree to which measures are free from error

15 Reliability Repeatability – Test-Retest method- High correlation suggests stability/reliability

16 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

17 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.

18 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

19 Types of Validity Content (Face) validity- agreement that a scale accurately measures that which it is intended to

20 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

21 Types of Validity Construct validity- The ability of a measure to confirm a network of related hypothesis

22 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

23 Attitude Measurement Attitude – an enduring disposition which contains these components: – Affective (emotional) – Cognitive (reason) – Behavioral (action) Example (sexual identity) Hypothetical Construct

24 Male Sex Behavior and Identification Col1 exclusively male Col 2 both Col 3 exclusively female

25 Female Sex Behavior and Identification Col1 exclusively male Col 2 both Col 3 exclusively female

26 Male Sexual Attraction and Identification

27 Female Sexual Attraction and Identification

28 Practice Problems Drinking Alcohol Religion Music

29 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?

30 What is Most Appropriate?

31 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…

32 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.

33 Source: http://blog.vovici.com/blog/bid/18228/Ranking-Questions-vs-Rating-Questions

34 Sorting – Asks respondents to sort items/names into groups

35 Multiple Choice – Provide alternative responses that R might choose.

36 Monadic Q. How satisfied are you with your current job? 1. Very Satisfied 2. Somewhat Satisfied 3. Not Very Satisfied

37 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

38 How many categories are needed?

39 Balanced Q. How satisfied are you with your current cable service? 1. Very Satisfied 2. Somewhat Satisfied 3. Somewhat unsatisfied 4. Very unsatisfied

40 Unbalanced Q. How satisfied are you with your current cable service? 1. Very Satisfied 2. Somewhat Satisfied 3. Somewhat unsatisfied

41 Forced Choice Does not allow the respondent to offer no opinion, which is different than a neutral opinion

42 Unforced Choice Allows respondents to opt out of providing an opinion.

43 JOHN ALLEN PAULOS Unless we know how things are counted, we don’t know if it’s wise to count on the numbers.

44 Albert Einstein Not everything that can be counted counts, and not everything that counts can be counted.


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