HLTH 8202E · Week 6

HLTH 8202E Week 6 sampling plan example

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Agency payroll rosters look like a list of home health aides until one asks who never appears on them. This sampling plan for a fictional statewide aide survey builds its frame from licensed agencies' rosters and a consumer-directed program's payroll file, then names the aides neither list reaches, from privately hired workers to those who left their jobs before autumn.

What this page holds

Two lists, several gaps: HLTH 8202E's sampling plan combines agency rosters with a consumer-directed payroll file and states which aides neither frame can reach. Searches like "hlth 8202e week 6 assignment example", "hlth8202e week 6 sample" and "hlth 8202e week 6 example" land here.

What a finished HLTH 8202E Week 6 sampling plan looks like

Around four pages, carrying a frame diagram and a coverage table. The target population comes first: everyone paid to provide personal care or aide services in clients' homes in the composite state last summer. The frame section describes two sources, rosters from licensed agencies that agree to share them and the payroll file kept by the consumer-directed program's fiscal agent. A coverage table then lists groups by their relation to the frame: covered once, covered twice because they work through both routes, and not covered at all, including aides paid privately by families, aides placed through online platforms, and aides who stopped working before rosters were drawn. The design follows: agencies stratified by size, aides sampled within each, and a weighting rule for aides on more than one list. A paragraph states how refusing agencies will be handled.

How a HLTH 8202E Week 6 example is structured

The plan runs from population to frame to sample, the order in which errors accumulate. Defining the target population first, in terms of work rather than employer, makes the frame's gaps visible: a population defined by who hired the aide would have hidden the privately paid. The frame section describes each list by who maintains it, what it contains and how current it is, since a roster's date determines who has already left. The coverage table is the plan's central exhibit, and it uses the language of Groves' total survey error framework, separating coverage error from the sampling and nonresponse error discussed later. Multiplicity comes next, because aides listed by two sources would otherwise have double the chance of selection. Stratification and allocation follow as design choices with reasons. The closing paragraph admits that refusing agencies turn a coverage gap into a correlated one.

Population defined by the work

Anyone paid to give personal care in clients' homes last summer belongs, whoever paid them. Defining by work rather than employer brings the privately paid into view.

Two lists and their keepers

Agency rosters come from agencies that consent; the consumer-directed payroll file comes from the program's fiscal agent. Each list is described by its owner, contents and date.

Covered once, twice or never

A coverage table sorts aides by how the frame reaches them. Privately paid aides, platform-placed aides and summer workers who left before autumn fall outside it.

Listed twice, weighted once

Aides on both lists would have double the chance of selection. The plan asks each respondent how many sources pay them and adjusts weights accordingly.

Agencies that say no

An agency refusing its roster removes all its aides together. The plan records refusals by agency size and discusses what that clustering does to coverage.

Where marks go in HLTH 8202E Week 6

Coverage reasoning carries most of the credit, and a plan that treats the agency rosters as the population, with the missing aides mentioned nowhere, has made the error this course exists to prevent. Graders check that the target population is defined independently of the frame; a definition that simply restates the list assumes away every gap. The coverage table earns analytic credit when each excluded group is named and a mechanism given. Using the total survey error framework correctly, keeping coverage separate from sampling and nonresponse error, draws framework credit. Multiplicity handled with a question and a weight shows technical command, and ignoring it is a common deduction. Stratification earns more when its reason is stated. The refusal paragraph gains doctoral credit for recognizing clustered loss. Unexplained sample sizes lose ground, and invented ones lose more.

Get a HLTH 8202E Week 6 example written to your instructions

Describe the population your survey targets and any lists you might sample from, with the Week 6 sampling plan instructions and rubric. A plan defining the population by the work, describing each list, tabulating who is covered once, twice or never, and handling multiple listings comes back in 24-48h, a first one at no charge. Its programs and rosters are hypothetical.

HLTH 8202E Week 6 questions, answered

What is coverage error?

The gap between the target population and the frame from which the sample is drawn. People missing from the frame cannot be selected, and if they differ from those listed, estimates are biased no matter how well the sample is drawn. Groves' total survey error framework treats coverage as one error among several, which helps a plan say exactly where each weakness enters.

How are people listed on two frames handled?

By recording how many frames each respondent could have been selected from and adjusting weights so that no one counts double. A survey question usually supplies this, such as asking how many agencies or programs pay the respondent. State both the question and the adjustment in the plan, since ignoring multiplicity quietly overrepresents people with more than one employer.

Should the plan state a sample size?

Many prompts ask for one, and it should be justified, not asserted. That means naming the estimates the survey must produce, the precision needed and the response rate expected, with a source for the last. If your section does not require a calculation, describe how size would be set. Picking a round number without reasoning is the version graders mark down.