HS865 Unit 9 Instrument Alignment Table Example

Course	HS865 Doctoral Project II: Research
Unit	Unit 9
Paper type	Instrument alignment table
Length	About 840 words, 6 pages double-spaced
Format	APA 7 student paper
School	Purdue University Global
Program	Doctor of Health Science (DHSc)
Updated	October 2026

Free sample paper for HS865 Unit 9

From Question to Output, Row by Row: A Unit 9 Instrument Alignment Table for the Wrenfield Shielding Study

[Student Name]

Purdue University Global

HS865: Doctoral Project II: Research

Unit 9 Instrument Alignment Table

[Instructor Name]

[Date]

The Wrenfield Health study and its instruments are composite; the methods sources cited are real.

What this part is doingNaming the items that were cut in the lead shows the table did work on the instruments, not only on the paperwork.

Why an Alignment Table

Doctoral proposals often fail at the joins: a question that no instrument measures, an item that no question needs or an analysis that does not suit the data. The alignment table makes each join visible. Each row is read left to right and must be complete before data collection begins.

Row One: Research Question One

Question, in brief: the reported frequency of shielding for a child's AP pelvis film, overall and across the three subgroups.

Instrument section: survey part one and part three.

Items: the shielding frequency item for AP pelvis in a child under 10, with five responses from never to always; site type; years in practice in four bands; training program type.

Level of measurement: shielding frequency is ordinal; site type and training program are nominal; years in practice is ordinal in bands.

Analysis: frequencies and percentages for each response; shielding dichotomized into routine (often or always) and not routine; chi-square tests comparing routine shielding across site types, years and training, with exact tests where cells are small.

Output: Table 1, shielding frequency overall and by subgroup, with percentages and confidence intervals.

Row Two: Research Question Two

Question, in brief: the framework domains on which routine shielders and non-shielders score differently.

Instrument section: survey part two.

Items: two to four items per domain, adapted from a published domain-based questionnaire (Huijg et al., 2014), each rated on a seven-point agreement scale; [42] items in all.

Level of measurement: single items are ordinal. Domain scores, the mean of a domain's items, are treated as approximately interval for description, a common and debated practice. Because domain scores from short scales are often skewed, group comparisons use rank-based tests, which do not require interval assumptions.

Analysis: internal consistency for each domain; Mann-Whitney tests comparing domain scores between groups, with effect sizes; false discovery rate control across the 14 tests; then a logistic model predicting routine shielding from the significant domains, with site type and experience as covariates.

Output: Table 2, domain scores by group with test results and adjusted significance; Table 3, regression results.

Row Three: Research Question Three

Question, in brief: radiographers' own accounts of what shapes the choice to shield.

Instrument section: interview guide.

Items: one or two prompts per domain, beginning with recent cases.

Level of measurement: qualitative text.

Analysis: theory-led coding in which every domain starts as a code and a catch-all code holds the rest, following a published guide to using the framework in qualitative work (Atkins et al., 2017); second coder for a quarter of transcripts.

Output: a table of themes within each domain with illustrative quotations and the number of participants contributing.

A row without an output is a promise without a deliverable, and a committee reading the table should be able to name every table the results chapter will contain.

What this part is doingRequiring an output in every row ties the proposal directly to the results chapter, which is where alignment is finally tested.

The Merge Row

Question: To what extent do survey and interview findings converge for each domain?

Inputs: Table 2 results and the domain theme table.

Analysis: a joint display listing each domain with its survey difference, its interview themes and a label of convergent, complementary or discordant, following established principles for integrating mixed methods findings (Fetters et al., 2013).

Output: Figure 1, the joint display, and a narrative interpreting the discordant domains.

Items Cut

Two items drafted earlier were cut because no row required them. The first asked how many years since the respondent's last radiation safety course. It seemed relevant during drafting, but no research question concerns training recency, and knowledge is already measured as a domain. The second asked whether the respondent's site had a written shielding policy. All sites follow the same network protocol, so the item would have no variation to analyze. Both cuts shorten the survey by about a minute, which matters for a census of busy radiographers where every item competes with the next patient.

A Note on Means and Medians

Single agreement items are ordinal, and many methodologists object to averaging them. Domain scores built from several items behave more like continuous measures, and averaging them is widespread in framework-based surveys. The table takes a middle path: domain means are reported for description because readers expect them, but every inferential comparison uses rank-based tests that make no interval assumption. This choice is stated in the table so that a reviewer who objects to means can see that no conclusion depends on them. Medians and interquartile ranges will be reported alongside means in Table 2.

What this part is doingAddressing the means-versus-medians debate inside the table shows the level-of-measurement column was thought through, not filled in by habit.

Remaining Checks

Before fielding, the table will be checked once more against the final survey to confirm item numbering, and against the analysis plan to confirm that every test named here appears there. Any item added during cognitive testing will need a row before it stays.

References

Atkins, L., Francis, J., Islam, R., O'Connor, D., Patey, A., Ivers, N., Foy, R., Duncan, E. M., Colquhoun, H., Grimshaw, J. M., Lawton, R., & Michie, S. (2017). A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implementation Science, 12, 77. https://doi.org/10.1186/s13012-017-0605-9

Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designs: Principles and practices. Health Services Research, 48(6 Pt 2), 2134-2156. https://doi.org/10.1111/1475-6773.12117

Huijg, J. M., Gebhardt, W. A., Crone, M. R., Dusseldorp, E., & Presseau, J. (2014). Discriminant content validity of a theoretical domains framework questionnaire for use in implementation research. Implementation Science, 9, 11. https://doi.org/10.1186/1748-5908-9-11

The Purdue Global HS865 Unit 9 instructions

The ninth unit typically asks candidates to build a table aligning research questions with instruments, items, levels of measurement, analyses and outputs, with a few pages of explanation. Instructors expect every research question to appear in a row and every row to end in a named output, such as a table or figure in the results chapter. Levels of measurement should match the analyses chosen. Mixed methods studies are often expected to include a row for integration. Many prompts ask candidates to identify items that no question requires and to remove them. A note on contested choices, such as how agreement scales are summarized, shows awareness of methodological debate.

How this HS865 Unit 9 example is built

The paper explains why an alignment table catches errors at the joins. Row one lists the frequency item and subgroup items, their levels of measurement, frequencies with dichotomized comparisons and Table 1. Row two lists the adapted domain items, internal consistency, rank-based comparisons with false discovery rate control and regression, and Tables 2 and 3. Row three lists interview prompts, theory-led coding with a second coder and a domain theme table; the highlighted sentence explains why every row needs an output. The merge row names the joint display. Sections on items cut, means and medians and remaining checks close the paper.

HS865 Unit 9 rubric: what earns full points

Alignment tables are commonly assessed on completeness, correctness of measurement levels and analyses, presence of integration, removal of unnecessary items and clarity. Correctness often carries the most weight; graders check that ordinal items are not analyzed as if they were precise interval data without justification and that tests suit the outcome. Completeness rewards rows that run from question to output without gaps. Integration earns credit when a merge row names exactly which results will be compared. Removing items no question requires shows discipline and shortens the burden on participants. Clear layout, consistent numbering and accurate citations complete the score. Some instructors also ask candidates to show the table to a statistician or methods mentor before submission, and noting that review can strengthen the paper.

HS865 Unit 9 help: mistakes that cost points

A common weakness is a table that lists instruments without linking them to specific outputs, so the results chapter remains undefined. Another is mismatching analysis and measurement level, for example computing means on a single ordinal item without comment. Some candidates keep items because they seem interesting, which lengthens the survey without adding answers. Others leave integration out of the table altogether. Tables that do not match the final instrument numbering cause confusion later. If your study measures different constructs, perhaps self-efficacy or workload, send your questions and draft instruments, and we will build an alignment table that tests every join. Include your analysis plan if you have one, so the table can be checked against it.

Get an HS865 Unit 9 example written to your instructions

Alignment tables take different shapes across sections, from five columns to ten, sometimes paired with a narrative. Send the Unit 9 prompt and rubric along with each instrument in its current draft and the questions it serves. The sample traces every question to an output, flags items no question needs, and records the reliability evidence each scale carries. First custom sample free; ready within 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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HS865 Unit 9 questions, answered

What is an orphan item in a survey?

An item that no research question requires. Orphans appear when a question seemed interesting during drafting or was carried over from an earlier version. They lengthen the survey, which can lower completion, and they tempt analyses that were never planned. An alignment table exposes them by reading from each item back to a question; unclaimed items are cut or relabeled as descriptive.

Should Likert-derived scores be analyzed with means or medians?

Practice varies, and the justification matters more than the choice. Single Likert items are ordinal, and many methodologists prefer medians and rank-based tests for them. Scores averaged across several items behave more like interval data, and parametric tests are often defended there. Whatever you choose, state it once in the alignment table and apply it consistently.

Why include a merge row for mixed methods?

Because integration is where mixed methods studies most often fall short. A merge row names which quantitative output will be compared with which qualitative output, and by what procedure, before data exist. That commitment keeps the final chapter from presenting two separate studies, and it gives the committee something concrete to evaluate at the proposal stage.

Where can I find a free HS865 Unit 9 sample paper?

This page has the complete Unit 9 alignment table for a shielding study, running three questions and a merge row from items to outputs.

Why were two survey items removed?

No research question required them. One duplicated the knowledge domain, and the other asked about a policy that is identical at every site.