Administration Summary
This page provides an overview of your survey administration, including details about your population and sample, response rates, representativeness of your respondents, survey customization choices, and recruitment message schedule. This information can be useful for assessing data quality and planning future NSSE administrations.
Population and Respondents
The table at right reports your institution's population sizes, how many students were sampled (whether census-administered or randomly selected), and how many completed the survey.
| Survey completions | First-year | Senior |
| Submitted population | ||
| Adjusted populationa | ||
| Survey sampleb | ||
| Total respondents | ||
| Full completionsc | ||
| Partial completion | ||
| a. Adjusted for ineligible students and those for whom survey requests were returned as undeliverable. b. Targeted, experimental, and locally administered oversamples were not included. c. Completed at least one demographic question after the core engagement items on the survey. |
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Response Rate and Sampling Errora
The table below summarizes response rates and sampling errors for your institution and comparison groups. For more information see NSSE’s Response Rate FAQ.
| First-year | Senior | |||||||
| NSSEville State | Admissions Overlap | Carnegie UG Program | NSSE 2018 & 2019 | NSSEville State | Admissions Overlap | Carnegie UG Program | NSSE 2018 & 2019 | |
|---|---|---|---|---|---|---|---|---|
| Response Rate | 0% | 32% | 22% | 23% | 0% | 32% | 23% | 23% |
| Sampling Errorb | +/-0.0% | +/-1.3% | +/-1.4% | +/-0.2% | +/-0.0% | +/-1.4% | +/-1.3% | +/-0.2% |
| a. Comparison group response rate and sampling error are computed at the student level (i.e., they are not institution averages). b. Also called “margin of error,” sampling error is an estimate of the amount the true score on a given item could differ from the estimate based on a sample. For example, if the sampling error is +/- 5.0% and 40% of your students reply "Very often" to a particular item, then the true population value is most likely between 35% and 45%. |
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Representativeness and Weighting
The first table at right reports on variables submitted in your population file. Respondent and population percentages are listed side by side as a convenience to see how well the characteristics of your respondents reflect your first-year and senior populations.
Because women and full-time students are consistently overrepresented among respondents, NSSE weights results by sex and enrollment status so institutional estimates reflect the population with respect to these characteristics. The second table at right provides the respondent and population proportions used to calculate your 2019 weights.
| Representiveness | First-Year | Senior | |||
| Respondent % | Population % | Respondent % | Population % | ||
| Female | |||||
| Full-time | |||||
| First-time, first-year | N/A | N/A | |||
| Race/ethnicitya | |||||
| Am. Indian or Alaska Native | |||||
| Asian | |||||
| Black or African American | |||||
| Hispanic or Latino | |||||
| Native Hawaiian/Other Pac. Isl. | |||||
| White | Other | Foreign or nonresident alien | Two or more races/ethicities | ||
| Unknown | |||||
| a. Based on the IPEDS categories (not available for Canadian institutions) submitted in the population file. Results not reported for institutions without full (at least 90%) race/ethnicity information in the population file. | |||||
| Weighting | First-Year | Senior | |||
| Respondent % | Population % | Respondent % | Population % | ||
| Full-time, female | |||||
| Full-time, male | |||||
| Part-time, female | |||||
| Part-time, male | |||||
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