PUBH 8211 Week 4 Sampling Plan Example

Research Methods for Public Health Walden University Free custom sample in 24 to 48h

This PUBH 8211 Week 4 sampling plan example writes a separate sampling commitment for the survey strand and the interview strand of a study on why older adults stop using hearing aids among older adults in a composite rural region. Walden PUBH 8211 asks students to specify sampling for every strand, and the brief enrolls consecutive new fittings for adults 65 and older at three audiology clinics over a year, estimating about 250 completed six-month surveys and about 50 low users, then selects 15 to 20 interviewees purposively from those reporting under an hour of daily use, adding a few high users and later choosing participants by theoretical sampling. A table sets the commitments side by side, a section explains how fitting logs will track who is missed and the plan names who falls outside its frame. PhD in Public Health readers see sampling matched to each strand's purpose.

CoursePUBH 8211 Research Methods for Public Health
WeekWeek 4
Paper typeSampling plan brief
LengthAbout 580 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramPhD in Public Health
UpdatedOctober 2026

Free sample paper for PUBH 8211 Week 4

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Two Strands, Two Sampling Commitments: A Sampling Plan Enrolling Consecutive Hearing Aid Fittings at Three Rural Clinics for the Survey and Selecting Interviewees Purposively From Those Who Stopped

Student Name

Walden University

PUBH 8211: Research Methods for Public Health

Instructor Name

Month Day, Year

What this page is doingThe title gives each strand its own commitment, because the survey and the interviews draw on the same people for different purposes and must be sampled differently.
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Two Strands, Two Sampling Commitments: A Sampling Plan Enrolling Consecutive Hearing Aid Fittings at Three Rural Clinics for the Survey and Selecting Interviewees Purposively From Those Who Stopped

The Survey Strand

Population and frame

Every patient over 65 who leaves one of the three Tall Pines clinics with a first pair of hearing aids during a 12-month enrollment window. The frame is each clinic's fitting log, which records every fitting with date and patient contact.

Sampling method

Consecutive enrollment: every eligible patient fitted during the period is invited at the fitting appointment, with consent to be contacted six months later. Consecutive enrollment avoids the bias that would arise if staff chose whom to invite, for example only patients who seemed satisfied.

What this page is doingExplaining why staff choice is excluded shows the plan anticipates a specific bias.
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Expected size

The three clinics fit about 420 adults aged 65 and older a year. Assuming 80% agree at fitting and 75% of those complete the six-month survey, the survey sample would be about 250. If about a fifth turn out to be low users, wearing their aids under an hour a day, roughly 50 low users would be available, enough to estimate the proportion with reasonable precision and to examine a handful of associated factors.

Exclusions

Patients fitted with a replacement aid are excluded, since the question concerns new users. Patients unable to complete a survey by phone or mail, even with a family member's help, are excluded and counted.

The Interview Strand

Sampling method

Purposive sampling from survey respondents who report less than one hour of daily use and agreed to be contacted. Selection will aim for variation on the factors the survey finds associated with low use, such as clinic, distance and degree of hearing loss, so that interviews can explore how those factors play out. A few respondents who report high use despite similar circumstances will also be invited, to help interpret what distinguishes them.

Sample size

About 15 to 20 interviews, with the final number set by when new interviews stop adding new insight to the developing analysis. Constructivist grounded theory treats this kind of theoretical sampling, choosing later participants to develop emerging categories, as part of the analysis itself (Charmaz, 2014).

How the Strands Connect

The survey results determine who is interviewed: the interview sample cannot be drawn until the survey's associations are known. This connection is a form of integration at the sampling stage (Fetters et al., 2013).

Table 1

Sampling Commitments by Strand

FeatureSurveyInterviews |
WhoAll new hearing aid fittings, 65+, three clinics, 12 monthsSurvey respondents with less than one hour of daily use, plus a few high users |
MethodConsecutive enrollmentPurposive, then theoretical |
SizeAbout 250 completedAbout 15 to 20 |
TimingSix months after fittingAfter survey analysis |

Note. Estimates for a composite setting.

Tracking Who Is Missed

The clinics' fitting logs allow the study to count every eligible patient, whether invited, whether they agreed and whether they completed the survey. Comparing completers with those who did not respond on age, clinic and degree of hearing loss, all recorded at fitting, will show whether the survey sample is skewed.

What the Plan Cannot Cover

Adults who stopped going to the clinic before their fitting, and those who bought hearing aids elsewhere, are outside the frame. A review of non-use found cost among the reasons people give for not wearing aids (McCormack & Fortnum, 2013), and people deterred by cost before fitting will not appear in this sample at all.

References

Charmaz, K. (2014). Constructing grounded theory (2nd ed.). Sage.

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

McCormack, A., & Fortnum, H. (2013). Why do people fitted with hearing aids not wear them? International Journal of Audiology, 52(5), 360-368. https://doi.org/10.3109/14992027.2013.769066

The Walden PUBH 8211 Week 4 instructions

Sampling plan assignments in mixed methods courses ask students to describe how participants will be selected for each strand and how the strands' samples relate. Prompts usually require the population, frame, sampling method, expected size with justification, inclusion and exclusion criteria, and the connection between strands. Instructors reward plans that use probability or consecutive methods where generalization matters, purposive and theoretical sampling where depth matters, realistic size estimates based on stated assumptions and honest accounts of who the frame cannot reach. A plan that applies one sampling logic to both strands, or gives sizes without reasoning, typically receives less credit. Some instructors also ask how the sample sizes compare with similar published studies.

How the PUBH 8211 Week 4 example is put together

The brief describes the survey strand's population, frame, consecutive method, expected size calculation and exclusions, with a margin note on why staff choice is avoided. The interview strand is described with purposive selection on survey-identified factors, contrast cases and theoretical sampling, citing a grounded theory text. A section explains how survey results connect to interview selection. A table compares the two strands. Sections describe tracking non-response with fitting logs and name who falls outside the frame. The expected sample size is calculated step by step, so readers can change any assumption and recompute it. The tracking section explains how the study will know who it missed.

Reading the PUBH 8211 Week 4 rubric

Graders evaluate whether each strand's sampling fits its purpose, whether size estimates are justified and whether the connection between strands is clear. Consecutive enrollment for the survey and purposive and theoretical sampling for interviews show appropriate choices. Stating assumptions behind expected numbers earns credit. Plans to compare responders and non-responders show attention to bias. Naming excluded groups shows honesty. A sampling table with one row per strand earns marks for clarity. Plans that justify exclusions, such as replacement fittings, by reference to the research question show coherent thinking. Graders reward theoretical sampling described as part of analysis, not only recruitment. A plan to compare responders and non-responders on recorded characteristics adds a practical check on bias. A table comparing both strands side by side helps graders see the logic quickly.

PUBH 8211 Week 4 help: mistakes that cost marks

Students often borrow one sampling approach for both strands. Ask what each strand needs: breadth and a defined denominator for the survey, depth and variation for interviews. Write down your assumptions for agreement and completion rates and calculate the expected size. Plan how you will count everyone eligible. Say who your frame misses. To work through a two-strand sampling plan for your own study, send the population and strands. Check your size estimate against what each clinic actually sees in a year. Decide in advance how you will choose among eligible interviewees. Keep a log of every contact attempt.

Get a PUBH 8211 Week 4 example written to your instructions

Describe the population each strand of your study would draw on, with the Week 4 sampling instructions and rubric. A plan handling both strands, stating power as a commitment without invented values, a bridge rule and a defined saturation, is back within 24-48h, the first at no charge. Nobody sampled in it exists, and the clinics are composites too.

More PUBH 8211 papers and PhD in Public Health samples

PUBH 8211 Week 4 questions, answered

Where can I find a free PUBH 8211 Week 4 sample paper?

The complete Week 4 plan sits above, setting separate sampling commitments for a survey and interviews.

Why use consecutive enrollment for the survey?

It invites every eligible patient, preventing staff from choosing only satisfied ones.

How many survey respondents are expected?

About 250, assuming 420 fittings a year, 80% agreement and 75% completion at six months.

How are interviewees chosen?

Purposively from respondents with low daily use, varied on factors linked to low use, with a few high users for contrast.

Who falls outside the sampling frame?

People who never reached a fitting and those who bought hearing aids elsewhere.