The document discusses different types of measurement scales used in research including nominal, ordinal, interval and ratio scales. It provides examples of how each scale can be used to measure different characteristics. It also discusses primary methods for scaling responses, such as paired comparisons, ranking, and constant sum scales. Scaling techniques allow researchers to quantify qualitative data for further analysis.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
Data Collection tools: Questionnaire vs ScheduleAmit Uraon
Questionnaire is one of the important method of data collection in which a researcher distributes a questionnaire to the respondents and requests them to fill up the questionnaire and return.
Same way Schedule is also a set of structured questions and the answers in questionnaire is not filled up by respondents themselves but by enumerators.
Stratified Sampling and Cluster Sampling that are most commonly contrasted by the people. There is a big difference between stratified and cluster sampling, which in the first sampling technique, the sample is created out of the random selection of elements from all the strata while in the second method, all the units of the randomly selected clusters form a sample. Just have a look for better understanding.
Sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
This is an exclusive presentation on data collection for researchers in National Institutes Labor of Administration & Training (NILAT), Ministry of production, government of Pakistan
Data Collection tools: Questionnaire vs ScheduleAmit Uraon
Questionnaire is one of the important method of data collection in which a researcher distributes a questionnaire to the respondents and requests them to fill up the questionnaire and return.
Same way Schedule is also a set of structured questions and the answers in questionnaire is not filled up by respondents themselves but by enumerators.
Stratified Sampling and Cluster Sampling that are most commonly contrasted by the people. There is a big difference between stratified and cluster sampling, which in the first sampling technique, the sample is created out of the random selection of elements from all the strata while in the second method, all the units of the randomly selected clusters form a sample. Just have a look for better understanding.
Sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population
Data collection - Statistical data are a numerical statement of aggregates. Data, generally, are obtained through properly organized statistical inquiries conducted by the investigators. Data can either be from primary or secondary sources.
Scaling is the process of measuring or ordering entities with respect to quantitative attributes or traits. With comparative scaling, the items are directly compared with each other .In non -comparative scaling each item is scaled independently of the others.
3. Secondary Data, Online Information Databases, and Measurement.docxtamicawaysmith
3. Secondary Data, Online Information Databases, and Measurement Scaling
1
Primary Scales of Measurement
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3
8
Scale
Nominal Numbers
Assigned
to Runners
Ordinal Rank Order
of Winners
Interval Performance
Rating on a
0 to 10 Scale
Ratio Time to Finish, in
Seconds
Third
place
Second
place
First
place
Finish
Finish
8.2
9.1
9.6
15.2
14.1
13.4
Primary Scales of Measurement
Nominal Scale: The numbers serve only as labels or tags for identifying and classifying objects.
Ordinal Scale: A ranking scale
Interval Scale: Numerically equal distances on the scale represent equal values in the characteristic being measured.
Ratio Scale: Possesses all the properties of the nominal, ordinal, and interval scales. It has an absolute zero point.
Illustration of Scales of Measurement
Nominal Ordinal Ratio
Scale Scale Scale
Preference $ spent last No. Store Rankings 3 months
1. Parisian
2. Macy’s
3. Kmart
4. Kohl’s
5. J.C. Penney
6. Neiman Marcus
7. Marshalls
8. Saks Fifth Avenue
9. Sears
10.Wal-Mart
Interval
Scale
Preference Ratings
1-7
A Classification of Scaling Techniques
Comparative Scaling Techniques
Paired Comparison Scaling
A respondent is presented with two objects and asked to select one according to some criterion.
The data obtained are ordinal in nature.
Paired comparison scaling is the most widely-used comparative scaling technique.
With n brands, [n(n - 1) /2] paired comparisons are required.
Under the assumption of transitivity, it is possible to convert paired comparison data to a rank order.
Obtaining Shampoo Preferences
Using Paired Comparisons
Instructions: We are going to present you with ten pairs of shampoo brands. For each pair, please indicate which one of the two brands of shampoo you would prefer for personal use.
Recording Form:
aA 1 in a particular box means that the brand in that column was preferred over the brand in the corresponding row. A 0 means that the row brand was preferred over the column brand. bThe number of times a brand was preferred is obtained by summing the 1s in each column.
Paired Comparison Selling
The most common method of taste testing is paired comparison. The consumer is asked to sample two different products and select the one with the most appealing taste. The test is done in private and a minimum of 1,000 responses is considered an adequate sample. A blind taste test for a soft drink, where imagery, self-perception and brand reputation are very important factors in the consumer’s purchasing decision, may n ...
It Covers basic tool-kit of scales that can be used for the purposes of marketing research. The measurement scales covered are into two groups; comparative and non-comparative scales. The examples further simplifies the Understanding.
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6 measurement & scaling
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2.
3.
4.
5. Scale Nominal Numbers Assigned to Runners Ordinal Rank Order of Winners Interval Performance Rating on a 0 to 10 Scale Ratio Time to Finish, in Seconds Primary Scales of Measurement 3 Finish Finish 8.2 9.1 9.6 15.2 14.1 13.4 7 8 Third place Second place First place
15. Obtaining Shampoo Preferences Using Paired Comparisons Instructions: We are going to present you with ten pairs of shampoo brands. For each pair, please indicate which one of the two brands of shampoo you would prefer for personal use. Recording Form: a A 1 in a particular box means that the brand in that column was preferred over the brand in the corresponding row. A 0 means that the row brand was preferred over the column brand. b The number of times a brand was preferred is obtained by summing the 1s in each column.
16.
17. All the frequencies shown in the previous table are divided from the total number of respondents( 100 here). Brand Dunlop Modi Ceat GoodYear MRF Dunlop - 0.80 0.59 0.52 0.77 Modi 0.20 - 0.60 0.46 0.56 Ceat 0.41 0.40 - 0.61 0.60 G.Year 0.48 0.54 0.39 - 0.67 MRF 0.23 0.44 0.40 0.33 -
18. Write z-scores: This table presents z values corresponding to percentage points departure from 0.5 ( Ex Modi-Dunlop : 0.84 is z value for an area of 0.30) Total Distance -1.86 +0.53 -0.04 -0.21 +1.58 Avg. Distance -0.37 +0.11 -0.01 +0.04 +0.32 Shift from origin 0.0 0.48 0.36 0.41 0.69 Brand Dunlop Modi Ceat GoodYear MRF Dunlop - +.84 +0.23 +0.05 +0.74 Modi -0.84 - +0.26 -0.10 +0.15 Ceat -0.23 -0.26 - +0.28 +0.25 G.Year -0.05 +0.10 -0.28 - +0.44 MRF -0.74 -0.15 -0.25 -0.44 -
19. Paired Comparison Scaling The most common method of taste testing is paired comparison. The consumer is asked to sample two different products and select the one with the most appealing taste. The test is done in private and a minimum of 1,000 responses is considered an adequate sample. A blind taste test for a soft drink , where imagery, self-perception and brand reputation are very important factors in the consumer’s purchasing decision, may not be a good indicator of performance in the marketplace . The introduction of New Coke illustrates this point . New Coke was heavily favored in blind paired comparison taste tests, but its introduction was less than successful , because image plays a major role in the purchase of Coke. A paired comparison taste test
20.
21.
22. Preference for Toothpaste Brands Using Rank Order Scaling Instructions: Rank the various brands of toothpaste in order of preference. Begin by picking out the one brand that you like most and assign it a number 1. Then find the second most preferred brand and assign it a number 2. Continue this procedure until you have ranked all the brands of toothpaste in order of preference. The least preferred brand should be assigned a rank of 10. No two brands should receive the same rank number. The criterion of preference is entirely up to you. There is no right or wrong answer. Just try to be consistent.
23. Brand Rank Order 1. Crest _________ 2. Colgate _________ 3. Aim _________ 4. Anchor _________ 5. Macleans _________ 6. Ultra Brite _________ 7. Close Up _________ 8. Pepsodent _________ 9. Plus White _________ 10. Forhans _________
24. Importance of Bathing Soap Attributes Using a Constant Sum Scale Constant Sum Scale On the next slide, there are eight attributes of bathing soaps. Please allocate 100 points among the attributes so that your allocation reflects the relative importance you attach to each attribute. The more points an attribute receives, the more important the attribute is. If an attribute is not at all important, assign it zero points. If an attribute is twice as important as some other attribute, it should receive twice as many points.
25. Form Average Responses of Three Segments Attribute Segment I Segment II Segment III 1. Mildness 2. Lather 3. Shrinkage 4. Price 5. Fragrance 6. Packaging 7. Moisturizing 8. Cleaning Power Sum
26. Scaling Techniques: Attitude and Rating scales Non Comparative or Monadic Continuous Rating Scales Itemized Rating Scales Likert Type Semantic Differential Staple Pictorial
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30. Thermometer Scale Instructions: Please indicate how much you like McDonald’s hamburgers by coloring in the thermometer. Start at the bottom and color up to the temperature level that best indicates how strong your preference is. Form: Smiling Face Scale Instructions: Please point to the face that shows how much you like the Barbie Doll. If you do not like the Barbie Doll at all, you would point to Face 1. If you liked it very much, you would point to Face 5. Form: 1 2 3 4 5 Some Pictorial Rating Scale Configurations Like very much Dislike very much 100 75 50 25 0
31.
32. 1) Number of categories Although there is no single, optimal number, traditional guidelines suggest that there should be between five and nine categories 2) Balanced vs. unbalanced In general, the scale should be balanced to obtain objective data 3) Odd/ even no. of categories If a neutral or indifferent scale response is possible from at least some of the respondents, an odd number of categories should be used 4) Forced vs. non-forced In situations where the respondents are expected to have no opinion, the accuracy of the data may be improved by a non-forced scale 5) Verbal description An argument can be made for labeling all or many scale categories. The category descriptions should be located as close to the response categories as possible 6) Physical form A number of options should be tried and the best selected Summary of Itemized Scale Decisions
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36. Loyalty: I always use this brand Strongly Agree 5 Agree 4 Cant say 3 Dis Agree 2 Strongly disagree 1 I am willing to pay more for this brand I will postpone the purchase if this brand was not available ……… .. …… ..
40. Jovan Musk for Men is Jovan Musk for Men is Extremely good Extremely good Very good Very good Good Good Bad Somewhat good Very bad Bad Extremely bad Very bad Balanced and Unbalanced Scales Balanced Scale Unbalanced Scale
41. A variety of scale configurations may be employed to measure the gentleness of Cheer detergent. Some examples include: Cheer detergent is: 1) Very harsh --- --- --- --- --- --- --- Very gentle 2) Very harsh 1 2 3 4 5 6 7 Very gentle 3) . Very harsh . . . Neither harsh nor gentle . . . Very gentle 4) ____ ____ ____ ____ ____ ____ ____ Very Somewhat Neither harsh Somewhat Gentle Very harsh Harsh harsh nor gentle gentle gentle 5) Very Neither harsh Very harsh nor gentle gentle Rating Scale Configurations -3 -1 0 +1 +2 -2 +3 Cheer