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Hello Section Members,

I'm looking for some guidance from any of our members that are well versed in suvey analysis. An organization completed a sentiment survey of a few (16) targeted employee's feelings about core capabilities, staffing, and infrastructure readiness in several areas. The feelings were rated on a 1-5 Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". Results have previously been summarized two ways: (1) using the continuum of red-yellow-green indicators for the average response for each question, where red is strongly disagree, yellow is neutral, and green is strongly agree and (2) colors indicative of the results from a hypothesis test, under the null hypothesis of the average response by question being "Neutral". Does anyone in the community have advice/guidance on how else to analyze such sentiment survey data, so that questions with extreme responses stand out?

Thanks,

Andrea

Hello Section Members,

I'm looking for some guidance from any of our members that are well versed in suvey analysis. An organization completed a sentiment survey of a few (16) targeted employee's feelings about core capabilities, staffing, and infrastructure readiness in several areas. The feelings were rated on a 1-5 Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". Results have previously been summarized two ways: (1) using the continuum of red-yellow-green indicators for the average response for each question, where red is strongly disagree, yellow is neutral, and green is strongly agree and (2) colors indicative of the results from a hypothesis test, under the null hypothesis of the average response by question being "Neutral". Does anyone in the community have advice/guidance on how else to analyze such sentiment survey data, so that questions with extreme responses stand out?

Thanks,

Andrea

Tom,

I appreciate your response and can envision what you're describing. The graphical display you described will do a better job of showing the distribution of responses and whether certain question responses tended towards one of the extremes. 

Thank you!

Andrea

Hello Section Members,

I'm looking for some guidance from any of our members that are well versed in suvey analysis. An organization completed a sentiment survey of a few (16) targeted employee's feelings about core capabilities, staffing, and infrastructure readiness in several areas. The feelings were rated on a 1-5 Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". Results have previously been summarized two ways: (1) using the continuum of red-yellow-green indicators for the average response for each question, where red is strongly disagree, yellow is neutral, and green is strongly agree and (2) colors indicative of the results from a hypothesis test, under the null hypothesis of the average response by question being "Neutral". Does anyone in the community have advice/guidance on how else to analyze such sentiment survey data, so that questions with extreme responses stand out?

Thanks,

Andrea

Hello Section Members,

I'm looking for some guidance from any of our members that are well versed in suvey analysis. An organization completed a sentiment survey of a few (16) targeted employee's feelings about core capabilities, staffing, and infrastructure readiness in several areas. The feelings were rated on a 1-5 Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". Results have previously been summarized two ways: (1) using the continuum of red-yellow-green indicators for the average response for each question, where red is strongly disagree, yellow is neutral, and green is strongly agree and (2) colors indicative of the results from a hypothesis test, under the null hypothesis of the average response by question being "Neutral". Does anyone in the community have advice/guidance on how else to analyze such sentiment survey data, so that questions with extreme responses stand out?

Thanks,

Andrea

A forest plot would show me(di)an and confidence limits. A stacked bar chart would display all data in the colors suggested. Both may form a column next to the list of items. 

Hello Section Members,

I'm looking for some guidance from any of our members that are well versed in suvey analysis. An organization completed a sentiment survey of a few (16) targeted employee's feelings about core capabilities, staffing, and infrastructure readiness in several areas. The feelings were rated on a 1-5 Likert scale, ranging from "Strongly Disagree" to "Strongly Agree". Results have previously been summarized two ways: (1) using the continuum of red-yellow-green indicators for the average response for each question, where red is strongly disagree, yellow is neutral, and green is strongly agree and (2) colors indicative of the results from a hypothesis test, under the null hypothesis of the average response by question being "Neutral". Does anyone in the community have advice/guidance on how else to analyze such sentiment survey data, so that questions with extreme responses stand out?

Thanks,

Andrea