| Course | HLTH 8560E Advanced Analysis of Secondary Data |
|---|---|
| Week | Week 9 |
| Paper type | Peer reply set |
| Length | About 380 words, 3 pages |
| Format | Discussion reply, APA 7 citations |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for HLTH 8560E Week 9
Week 9 Replies: Recoding and Collapsing Categories
Two Peer Replies on Collapsed Categories: Where Adults Over 80 Go When a Public-Use File Top-Codes Age, and Where High School Students Who Never Drove Go When a Texting Item Is Recoded
Reply to Andre
Andre, your plan to split older adults into three age bands, ending with one for people 85 and over, makes sense for a question about falls, but the NHANES demographic file will not let you build the last two. Age is released only up to 80; everyone older is coded as 80 to protect confidentiality (Johnson et al., 2013). A respondent who is 92 sits in your file as 80, so your 75 to 84 band will quietly hold every adult past 80, and your 85 and older band will be empty.
In my own derivation, nearly one in ten adults with diabetes carried the value 80, so this is not a small corner of the file. Could you use 65 to 79 and 80 and older instead, and state that the top band has no upper limit? If your question really needs the oldest old, the restricted-use file through a research data center may be the only route.
Reply to Priya
Priya, your recode of the Youth Risk Behavior Survey texting item collapses "0 days" and "I did not drive a car or other vehicle during the past 30 days" into one category called "never texted while driving." That puts students who never drove in the same group as drivers who chose not to text, and many high school students, especially younger ones, do not drive at all. Your prevalence of texting while driving will be divided by a denominator that includes them, so it will look lower than it is among drivers.
Li et al. (2018) handled this by limiting their analysis of the 2015 survey to students who reported driving in the past 30 days, which changes the population the estimate describes to drivers, not all students. The survey's own methods report notes that it reaches students in school, so the frame is already narrower than all youth (Underwood et al., 2020). Would your question be about drivers, or about all students? If it is about drivers, the non-drivers belong outside the denominator rather than in the "never" group.
References
Johnson, C. L., Paulose-Ram, R., Ogden, C. L., Carroll, M. D., Kruszon-Moran, D., Dohrmann, S. M., & Curtin, L. R. (2013). National Health and Nutrition Examination Survey: Analytic guidelines, 1999-2010 (Vital and Health Statistics, Series 2, No. 161). National Center for Health Statistics.
Li, L., Shults, R. A., Andridge, R. R., Yellman, M. A., Xiang, H., & Zhu, M. (2018). Texting/emailing while driving among high school students in 35 states, United States, 2015. Journal of Adolescent Health, 63(6), 701-708. https://doi.org/10.1016/j.jadohealth.2018.06.010
Underwood, J. M., Brener, N., Thornton, J., Harris, W. A., Bryan, L. N., Shanklin, S. L., Deputy, N., Roberts, A. M., Queen, B., Chyen, D., Whittle, L., Lim, C., Yamakawa, Y., Leon-Nguyen, M., Kilmer, G., Smith-Grant, J., Demissie, Z., Jones, S. E., Clayton, H., & Dittus, P. (2020). Overview and methods for the Youth Risk Behavior Surveillance System: United States, 2019. MMWR Supplements, 69(1), 1-10. https://doi.org/10.15585/mmwr.su6901a1
The Walden HLTH 8560E Week 9 instructions
Students respond to classmates' recoding or category-collapsing decisions in a public-use dataset. Faculty expect each reply to identify a specific consequence of the recode, explain which respondents end up in the wrong place and suggest an alternative the file can support. Replies that simply approve or question a recode in general terms earn little. Citing the dataset's documentation, or a published analysis that handled the same problem, strengthens the reply. Each reply should end with a question the classmate can act on, such as which population their estimate is meant to describe. Tone should stay collegial, focused on the recode rather than the classmate. Replies are usually shorter than an initial post but should still carry sources and one concrete fix.
Inside the HLTH 8560E Week 9 example
The reply to Andre explains NHANES age top-coding, citing the analytic guidelines by Johnson and colleagues, and shows what happens to his two oldest bands. It adds that nearly one in ten adults with diabetes in the author's own derivation carried the value 80, then proposes 65 to 79 and 80 and older and mentions the restricted-use route. The reply to Priya quotes the texting item's non-driver response, explains how her recode inflates the denominator and cites Li and colleagues on limiting the estimate to drivers. It cites the YRBS methods overview by Underwood and colleagues to note that the frame already covers only students in school, and ends by asking whether her question concerns drivers or all students.
HLTH 8560E Week 9 rubric: what earns full marks
Precision about the boundary is the center of the grade. Faculty reward replies that name exactly who is misplaced by a recode and how that changes an estimate, rather than replies saying a recode might cause problems. Proposing an alternative the file can support earns credit, as does showing knowledge of how the dataset stores the affected values, such as a top-code or a skip response. Citations count when they show the same issue resolved in published work or documented by the survey. A closing question that helps the classmate decide what their estimate should describe earns the engagement share. Faculty also note tone and focus. Replies stretching beyond the recode into general critique of the project tend to dilute their own point.
Common HLTH 8560E Week 9 mistakes, and how to avoid them
Replies on recoding often say a category seems broad or a choice should be justified, which gives the classmate nothing to fix. To write stronger replies, look at the edges of each category in the classmate's recode. Ask who sits exactly on a boundary, who is capped or top-coded and who answered with a skip or not-applicable code. Check the documentation to see how the file stores those people. Then explain where the recode puts them and how that moves the estimate. Offer a recode the file can support, and cite a published analysis or the survey's own documentation. Close with one question about the population the estimate is meant to describe. A pair of replies addressing your classmates' recodes can be prepared for your thread.
Get a HLTH 8560E Week 9 example written to your instructions
Paste in the Week 9 prompt, the rubric and the classmates' posts with names removed. Two replies, each pinpointing a boundary problem in a recode and its effect on an estimate, come back within 24-48h, free the first time. The posts they answer are invented for the sample, so the recodes you question should be the ones in your own thread.
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HLTH 8560E Week 9 questions, answered
What is top-coding and why does it matter for recodes?
Top-coding replaces every value above a threshold with the threshold itself, usually to protect respondents from identification. In a public file, an age or income variable may be capped this way. Any category including the cap therefore holds an unknown range of true values. Recodes treating the capped value as exact misstate what the top category contains, which is why a reply can fairly ask about it.
How do skip responses affect a prevalence estimate?
They change who belongs in the denominator. A response saying the respondent never did the prerequisite activity, such as driving, means the follow-up question did not apply. Counting those respondents as never doing the behavior inflates the denominator and lowers the estimate. The usual approach is to restrict the estimate to those eligible and say so in the label.
Can a reply question a recode the instructor approved?
Yes, if the reply engages with the specific consequence rather than the approval. An instructor may have accepted a recode for a reasonable purpose, and the classmate can say so in response. The point of the reply is to bring the boundary into view and to ask how the estimate changes because of it. Graders reward that exchange whether or not the recode ends up changing.
Where can I find a free HLTH 8560E Week 9 sample paper?
This page holds the full Week 9 reply set, two responses on collapsed categories covering NHANES age top-coding and a youth survey texting item that counts non-drivers, with three references.
Why can't NHANES public files show adults 85 and older?
Age is top-coded at 80 in the public release, so everyone older is recorded as 80 to protect confidentiality. Analyses needing older age bands require the restricted-use files available through a research data center.