HS880 Unit 7 Descriptive Sample Results Summary Example

Reviewed by Elspeth Marlowe, MSN, RN Doctoral Project III: Data Collection and Analysis Purdue University Global Free custom sample in 24 to 48h

Before any research question is answered, this HS880 Unit 7 descriptive results summary describes who took part in a composite radiographer study using two data strands: 121 eligible respondents of 286 invited, about 42 percent, plus 17 interviewees. Purdue Global HS 880 asks Doctor of Health Science (DHSc) learners to report the sample before the findings. The summary explains removals from the raw responses, compares respondents with the network roster by site type and years in practice, compares early and late recruitment waves and reports missing data item by item with the rule used. It gives internal consistency for each domain scale, noting two below threshold, describes the interview group and deliberately withholds every shielding figure for the next section.

CourseHS880 Doctoral Project III: Data Collection and Analysis
UnitUnit 7
Paper typeDescriptive results summary
LengthAbout 860 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramDoctor of Health Science (DHSc)
UpdatedOctober 2026

Free sample paper for HS880 Unit 7

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Who Answered Before What They Answered: A Unit 7 Descriptive Results Summary for a Survey of Radiographers

[Student Name]

Purdue University Global

HS880: Doctoral Project III: Data Collection and Analysis

Unit 7 Descriptive Results Summary

[Instructor Name]

[Date]

Wrenfield Health and every figure are composite and shown as placeholders; the reporting and methods sources cited are real.

What this part is doingPromising to withhold the shielding figures tells the reader this section's only job is to describe the sample.
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Why This Section Comes First

Readers cannot judge findings about shielding until they know whose shielding is described. A sample that overrepresents one kind of site or one career stage could produce results that reflect its makeup rather than the network. This section therefore describes response, compares respondents with everyone invited and reports what is missing, so that later sections can be read with those facts in mind.

Response

The survey was sent to [286] eligible radiographers. [134] responses were submitted. [13] were removed: [9] respondents answered the eligibility question as working only outside projection radiography, and [4] submitted the first page only. [121] eligible responses remain, a response of [42.3] percent. [38] responses arrived before the recruitment amendment and [83] after it, a pattern consistent with the value of repeated, varied contacts (Dillman et al., 2014); the amendment is described in the deviations section.

Respondents Compared With the Roster

The network's human resources office supplied aggregate counts for the roster, by site type and years in practice, with no individual data.

Site type. Hospital departments: [36] percent of respondents against [41] percent of the roster. Urgent care: [17] percent against [18] percent. Outpatient centers: [47] percent against [41] percent. Outpatient radiographers responded somewhat more than others.

Years in practice. Fewer than 5 years: [18] percent of respondents against [22] percent of the roster. Five to 14 years: [34] percent against [34] percent. Fifteen to 24 years: [28] percent against [26] percent. Twenty-five years or more: [20] percent against [18] percent. Early-career radiographers responded slightly less.

Training program. [58] percent of respondents trained in a hospital-based certificate program and [42] percent in an associate or bachelor's degree program. The roster does not record training, so no comparison is possible.

The sample resembles the roster closely enough to describe the network, but not so closely that the outpatient tilt can be ignored when shielding rates are reported by site.

What this part is doingDrawing the practical consequence of the comparison, rather than only listing it, shows why the roster check matters.
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Missing Data

Shielding frequency item: [2] of [121] respondents left it blank; they are excluded from analyses that use it, leaving [119].

Domain items: missing responses ranged from [0] to [6] percent per item. The highest missingness was on the two optimism items, which several respondents commented were unclear. Following the analysis plan, a domain score was computed when at least half of its items were answered. On that rule, domain scores were available for [114] to [121] respondents, depending on the domain.

Demographic items: no missing site type; [3] missing training program.

No pattern of missingness by site type or years in practice was apparent in a cross-tabulation of respondents with and without missing domain items.

Internal Consistency

Cronbach's alpha for the domain scales ranged from [0.48] for optimism to [0.89] for social influences. Twelve of 14 domains met the planned threshold of [0.60]; optimism ([0.48]) and goals ([0.57]) did not. Their handling is reported in the deviations section.

Early and Late Respondents

Because recruitment changed partway through collection, respondents were compared by wave without identifying anyone, using each response's submission date. Late respondents were more often from outpatient centers ([52] percent against [37] percent of early respondents) and more often had fifteen or more years in practice ([53] percent against [37] percent). Training program did not differ notably between waves. These differences are reported here so that later sections can check whether wave, rather than radiographers' circumstances, explains any finding. The analysis plan's sensitivity check adds wave to the main model for that purpose.

What this part is doingReporting the wave comparison in the descriptive section, before any outcome, prevents it from looking like an explanation chosen after the results were known.
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Interviewees

[17] radiographers were interviewed, from [29] volunteers. By self-reported shielding: [9] routine and [8] not routine. By site type: [7] hospital, [2] urgent care, [8] outpatient. By years in practice: [3] fewer than 5, [6] 5 to 14, [5] 15 to 24, [3] 25 or more. Interviews lasted a median of [41] minutes. Urgent care is thin in the interview group because only [3] urgent care radiographers volunteered, so interview themes for that site type will be described with particular caution.

What This Section Does Not Report

No shielding frequency, domain comparison or interview theme appears here. Those results follow in the order of the research questions. Reporting the sample first, separately, keeps readers from forming a view of the findings before they know whose findings they are, which is the logic of describing participants before outcomes in standard reporting guidance for mixed methods studies (O'Cathain et al., 2008).

Notes for Interpretation

Two features will matter later. The outpatient tilt in the survey sample means network-wide shielding rates should be reported both overall and by site type. The low reliability of two domains means results for optimism and goals will be presented descriptively only. The descriptive tables follow the principle that each should stand on its own, with its population and denominator in the title (Creswell & Plano Clark, 2018).

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References

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.

O'Cathain, A., Murphy, E., & Nicholl, J. (2008). The quality of mixed methods studies in health services research. Journal of Health Services Research & Policy, 13(2), 92-98. https://doi.org/10.1258/jhsrp.2007.007074

HS880 Unit 7 instructions, in plain terms

The seventh unit typically asks candidates to write the descriptive portion of their results, covering response, sample characteristics, missing data and instrument performance before any research question is addressed. Three to five pages with tables is common. Instructors expect response to be reported with a clear denominator and removals explained, the sample compared with the population where population data exist, and missing data described by item or block with the handling rule from the analysis plan. Reliability of scales in the study sample is often expected. For mixed methods studies, the qualitative participants should be described too. Many prompts ask candidates to keep outcome results out of this section entirely.

How the HS 880 Unit 7 example is put together

The summary explains why the sample comes first, then reports invitations, submissions, removals and the final count, noting how many arrived before and after the recruitment amendment. Respondents are compared with the roster on site type and years, and the highlighted sentence draws the consequence of the outpatient tilt. Missing data are reported item by item with the half-items rule. Internal consistency is reported for all fourteen domains, two below threshold. Early and late waves are compared. Interviewees are described by shielding practice, site type and career stage. Closing sections explain what is withheld and what will matter for interpretation. Throughout, each percentage carries its denominator so that readers can recompute it.

Reading the HS880 Unit 7 grading rubric

Descriptive results sections are commonly graded on completeness, accuracy of denominators, comparison with the population, transparency about missing data and instrument performance, and discipline in keeping outcomes out. Completeness and transparency often weigh most, because later findings cannot be judged without them. Denominators earn credit when they are given for every percentage. Population comparison rewards candidates who obtain aggregate roster data and report differences plainly. Missing data and reliability points depend on clear numbers and the rule applied. Keeping outcome results for later sections shows control of structure. Tables that stand alone and accurate citations complete the score. Expect a reader to recompute a percentage or two from the stated denominators, so arithmetic must hold.

HS880 Unit 7 help: mistakes that cost points

The most frequent weakness is reporting only the response rate, with no comparison to the population invited. Another is mixing outcome findings into the description of the sample. Some candidates report percentages without denominators or remove responses without saying why. Others omit missing data altogether or apply a handling rule not stated in the plan. Leaving out reliability for scales used in analysis makes later results hard to trust. If your study has a different sample or instrument, send your response counts and roster summary, and a descriptive section can be drafted that reports who took part before what they said. Reporting reliability only for scales that performed well, and hiding the weak ones, is another frequent problem.

Get an HS880 Unit 7 example written to your instructions

Sample descriptions depend on what was collected and what population data allow. Send the Unit 7 prompt, the rubric, your demographic output and any population figures you can compare against. The summary characterizes the sample, compares it with the population and itemizes missing data, holding every research finding for later. First custom sample free, in 24-48h. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

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HS880 Unit 7 questions, answered

Why describe the sample before answering research questions?

Because readers need to know who the findings describe before they can judge them. A sample that differs from the population, or has uneven missing data, changes how results should be read. Keeping description separate from findings also prevents the sample section from turning into an early preview of results, which blurs the structure committees expect.

What response rate is acceptable for a staff survey?

There is no universal threshold, and response rate alone says little about bias. A modest rate with a sample resembling the population can be more trustworthy than a higher rate with skewed respondents. Report the rate on the correct denominator, compare respondents with the population where possible, and discuss what the differences could mean in the limitations.

How should missing survey data be reported?

Item by item or block by block, with counts and percentages, followed by the handling rule set in the analysis plan, such as requiring a minimum number of answered items for a domain score. Uneven missingness matters: if one block is skipped far more than others, report that pattern, since it may reflect a sensitive or confusing section.

Where can I find a free HS880 Unit 7 sample paper?

The complete Unit 7 descriptive summary is on this page, reporting response, roster comparison, missing data and reliability for a radiographer study.

Why withhold shielding results from the descriptive section?

So readers learn whose answers they are reading before they see the findings, and so the sample description is not shaped by the results.