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4.13 Explain characteristics of effective data-collection instruments.

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Presentation on theme: "4.13 Explain characteristics of effective data-collection instruments."— Presentation transcript:

1 4.13 Explain characteristics of effective data-collection instruments.
Describe types of scales. 4.13

2 Elements of Surveys Statement to respondents about how information will be used and why it is valuable Clear instructions – especially for skip patterns Appealing formal Logical sequence of questions Consideration of how answers to previous items might affect later items

3 Qualities of a good survey item
Clear questions Single focus for each question Neutral questions Balanced questions Appropriate language for the intended respondent Appropriately broad or narrow in scope

4 Itemized rating scales
Likert Semantic differential Stapel’s Scale Multi dimensional scaling Itemized scales provide respondents with a set of options from which they must choose an answer.

5 Balanced itemized scale
Provides an equal number of favorable responses (e.g. Extremely satisfied, satisfied) as it does unfavorable responses ( e.g. dissatisfied, extremely dissatisfied)

6 Continuous Scale A type of non-comparative scale that allows respondents to place a slash mark on a line that is bounded by two opposite variables (e.g. the worst; the best)

7 Likert Scales Measures the respondents’ level of agreement with a statement

8 Semantic differential
A type of itemized scale that marketing researchers use to measure attitudes. The scale provides seven spaces, which are bounded by descriptive antonyms at the end, such as reliable and unreliable. The respondent places an “X” at the point or space on the continuum that best describes his/her feelings about the object or idea that s/he is rating.

9 Semantic Differential Scale example

10 Stapel’s Scale A 10-point scale that places the phrase in the middle and requires the respondents to mark which series of positive or negative numbers best describes his/her feelings about the phrase in relation to the object or idea.

11 Multi dimensional scaling
 a means of visualizing the level of similarity of individual cases of a dataset

12 Ranking scales Paired comparison Forced choice Comparative scale

13 Paired comparison scale

14 Forced choice scale

15 Comparative Scale


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