AKA | Multiple Rating Profile |
Classification | Data Collecting (DC) |
The multiple rating matrix scaling technique is used when response choices to survey questions fit a multiple set of items on the same topic. Circled or connected response choices than form a profile that often displays a trend, a state, a lack of something, or condition being measured.
To identify a respondent's perception or position on some topic.
To measure the strength or related item ratings.
To collect survey data in a very efficient and practical way.
Select and define problem or opportunity | |
→ | Identify and analyze causes or potential change |
Develop and plan possible solutions or change | |
Implement and evaluate solution or change | |
→ | Measure and report solution or change results |
Recognize and reward team efforts |
1 | Research/statistics |
Creativity/innovation | |
2 | Engineering |
Project management | |
Manufacturing | |
3 | Marketing/sales |
Administration/documentation | |
Servicing/support | |
4 | Customer/quality metrics |
Change management |
before
Data Collection Strategy
Information Needs Analysis
Stratification
Starbursting
Sampling Methods
after
Questionnaires
Surveying
Cluster Analysis
Interview Technique
Organization Readiness Chart
Recommendation: Do not exceed a 7-point numerical scale. Respondents normally classify things into a range from 2 to 7; above 7, some precision is lost.
STEP 1 First, the research analyst determines the topic and items to be rated. See example Employee Job Satisfaction Ratings.
STEP 2 A draft of a multiple rating matrix is constructed and shown to a cross-section of potential respondents for their feedback on format, content, and clarity.
STEP 3 On the basis of the input received, matrix revisions may be necessary.
STEP 4 Next, the multiple rating matrix is mailed and response data collected.
STEP 5 Responses for each item are averaged and plotted on the multiple rating matrix as a profile composite, as shown in the example.
STEP 6 Date the completed profile composite.