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Guidelines for designing inclusive demographic surveys, focusing on the importance of allowing multiple responses and acknowledging the complexities of social identities. It also discusses coding practices for data analysis, including handling open-ended responses and select-all-that-apply questions. Recommendations are based on ACPA standards and research on identity autonomy and public regard.
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Survey instruments often include questions that allow respondents to self-decribe various aspects of their personal and academic identities. Such questions and response items should be:
Demographic questions which exclude identity options where students are unable to select or are unable to select more than one category may result in unintended negative outcomes for respondents (Sanchez, 2010; Townsend, Markus, & Bergsieker, 2009). Rankin and Garvey (2015) discuss this as a balancing act of demographic survey questions which supports intersectional theory, inclusiveness, and quantitative methods. The following statements and survey questions are examples of how one might intentionally support this balance and honor students’ fluid and intersecting identities.
Whenever possible, allow questions 'select all that apply’ (noted in questions below) Whenever possible, do not require a response, or provide an option for respondents to mark ’prefer not to answer’ or ’don’t know’ (depending on the question)
Avoid ’othering’ language when providing a write-in option. For example, choose ’self-identify’ or ’write-in’ instead of ’other’
When using an online format (such as Qualtrics or Campus Labs Baseline), utilize ’display/skip logic’ to ask more in-depth inclusive questions only of those who select a particular response (noted in questions below)
The following questions about your identity and background will be kept private and secure. Responses will be used to better understand and serve all students at the University of Arizona.
Note: The above text should be displayed within the survey before asking for demographic questions.
What is your academic class standing?
What is your enrollment status? Display/Skip logic: If “First-year, Sophomore, Junior, or Senior”
What is your enrollment status? Display/Skip logic: If “Graduate or Professional”
Are you a transfer student?
In which academic college is your major at UA? (Select all that apply if more than one major)
Do you consider yourself to be: (Select all that apply)
Which best describes where you currently live?
Do you have a child or children under age 18 for whom you are a primary caretaker?
Please check any of the following experiences you have had, or are currently experiencing. (Select all that apply)
Have you been diagnosed with any disability or impairment?
Do you identify as a veteran or active member of the U.S. Armed Forces, Reserves, or National Guard?
Have either of your parent(s) or guardians earned a bachelor’s degree or higher?
Which social class group do you identify with?
Which of the following best describes the area you lived in before attending University of Arizona?
Are you employed?
Is your place of employment on-campus? Display/Skip logic: If “Yes”
Which of the following most accurately describes your background?
What is your preferred religious identification? Open-ended text box_____________
The process of coding survey questions is part of the “Collect & Analyze Data” step of the Assessment Cycle. Coding survey questions involves making thoughtful decisions about what numeric value is assigned with the question response items. Survey software (e.g. Campus Labs) automatically code responses in an ascending numerical order (e.g. 1, 2, 3…6). However, steps need to be taken to determine if variable responses need to be recoded into different or new categories to better support the analysis of data. Once question response items are coded with appropriate numeric values, software (i.e. Excel or Stata) allows for analysis of the data to produce assessment findings and insights. Demographic questions are commonly recoded to support statistical analysis based on these four reasons:
Responses require recoding when a respondent enters a response within the opened-ended text box (i.e. “An identity not listed, self-identify”). This option provides a respondent the opportunity to self-identify instead of being limited by inadequate preset identity options. Open-ended responses are coded using a three step process:
Write-in responses which are already listed as preset response items should be recoded to the same corresponding numeric value. For example, a respondent who writes in “man” when asked about their gender identity should be coded to the same numeric value for “Man” in the survey question.
Similar write-in demographic responses should be collapsed together creating a new category. For example, five or more students who write in a religious or spiritual identity which is not listed should be coded as a new response item.
Remaining responses (i.e. identity groups with less than five respondents) should be collapsed into “Another identity” category and coded with a numeric value.
Demographic questions which entail the option of selecting multiple response items may need to be recoded depending on the context of the question and need for data analysis. Example : Respondents who mark two or more race/ethnicities may be recoded as multiracial, which may support data analysis with having one demographic variable response item per respondent. This may not always be the case if your purpose for asking a student’s racial or ethnic identity is to separately understand and communicate the two or more unique identities selected.
To honor confidentiality, it is common practice in survey methodology to not report on demographic response identities if the number of respondents is less than five. This practice reduces the likelihood of respondents being identified and therefore breaking confidentiality and anonymity. Survey items with less than five respondents should be recoded and collapsed into other categories or into a new one. Example : “Transgender”, “non-binary”, and “Genderqueer or gender nonconforming” may be recoded into a new category labeled “Trans*/Another gender identity” to uphold confidentiality.
Assessment of outcomes and corresponding communication of findings may require an aggregated category of student response items. Example : Academic class standing may be better suited for data analysis and reporting by collapsing “First-year”, “Sophomore”, “Junior”, and “Senior” into a new coded category labeled “Undergraduate Students”.
Contact Assessment, Research, & Grant Development for additional recommendations on coding guidelines for survey questions at AssessmentResearch@email.arizona.edu or (520) 626-4889.