| Course | MSW 515 Advanced Social Work Research |
|---|---|
| Week | 6 |
| Paper type | Data analysis plan |
| Length | About 570 words, 5 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | Master of Social Work (MSW) |
| Updated | October 2026 |
Free sample paper for MSW 515 Week 6
Data Analysis Plan for the Family Education Course Evaluation: Scores Prepared and Described Before Any Comparison, a Test Matched to Each Measure, Exit Interviews Coded in a Stated Sequence and a Joint Display Planned in Advance
Student Name
Chamberlain University
MSW 515: Advanced Social Work Research
Instructor Name
Month Day, Year
Data Analysis Plan for the Family Education Course Evaluation: Scores Prepared and Described Before Any Comparison, a Test Matched to Each Measure, Exit Interviews Coded in a Stated Sequence and a Joint Display Planned in Advance
Preparation Before Analysis
Forms are entered twice by two student workers and compared. Missing items on the empowerment scale (Koren et al., 1992) are handled by the scoring rule in the manual only if fewer than 10 percent of items are blank; otherwise the score is treated as missing. A relative who leaves the course is kept in the analysis using the scores collected.
Procedures Matched to Measurement
Empowerment and K6 totals are summed scales and will be analyzed as if interval, which is usual for summed scales of this length. Each group's scores are described first: mean, standard deviation and range at enrollment and at week 8. The comparison then uses change scores, week 8 minus enrollment, compared between course and waiting groups with an independent samples t test. With about 24 relatives in each group, the test can detect only a large difference, and the write-up will report the difference with its confidence interval rather than a bare p value. Satisfaction items are single ordinal ratings, so they will be reported as medians and counts, never as means. Sessions attended will be correlated with empowerment change in the course group, following the dose finding reported nine months after the Maryland trial began (Lucksted et al., 2013).
Coding Written as a Sequence
Each course participant is invited to a 20-minute exit interview with three questions about what changed at home, what did not and what the course missed. Interviews are recorded with consent and transcribed. Coding moves in the staged order Braun and Clarke (2006) recommend for interview themes: two coders read all transcripts, code the first four separately, meet to agree on a codebook, code the rest with it, then group codes into candidate themes and test each theme against the full set of transcripts. Codes that fit no theme are kept in a separate list and reported.
Trustworthiness With Named Strategies
Credibility: two coders and a record of disagreements and how they were settled. Confirmability: an audit trail of codebook versions. Member checking: the draft themes are read to two volunteers from the course, who are asked whether the themes describe what they experienced. Dependability: memos written after each coding session.
These strategies answer a specific worry: the coders are student workers at the same center, and they may hope the course works. Writing down each disagreement and its resolution leaves a trail a reader can check.
Integration Decided in Advance
Results will be joined in a table with one row per outcome: the empowerment change, the interview theme that speaks to it and whether the two agree. If scores rise but interviews describe no change at home, that disagreement is reported as a finding, not explained away.
What This Plan Will Not Do
It will not test subgroups. With 24 relatives per group, splitting by relationship or diagnosis would produce numbers too small to read.
References
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Koren, P. E., DeChillo, N., & Friesen, B. J. (1992). Measuring empowerment in families whose children have emotional disabilities: A brief questionnaire. Rehabilitation Psychology, 37(4), 305-321. https://doi.org/10.1037/h0079106
Lucksted, A., Medoff, D., Burland, J., Stewart, B., Fang, L. J., Brown, C., Jones, A., Lehman, A., & Dixon, L. B. (2013). Sustained outcomes of a peer-taught family education program on mental illness. Acta Psychiatrica Scandinavica, 127(4), 279-286. https://doi.org/10.1111/j.1600-0447.2012.01901.x
Reading the MSW 515 Week 6 instructions
The data analysis plan covers both kinds of material your evaluation will collect. For quantitative data, state how forms are prepared and checked, how missing data are handled, what level each variable is measured at and which procedure suits that level. Describe before you compare, and name the reason for any test in a sentence a reader could check. For qualitative data, state the approach, the coding sequence, who codes and what happens to material that fits no theme. Name the strategies you will use for trustworthiness, tied to the risks in your setting. Decide in advance how the two strands will be integrated, including what you will do if they disagree. Note any analyses you will not run and why.
How this MSW 515 Week 6 example is built
The plan begins with preparation: double entry by two workers, a rule that empowerment scores with more than 10 percent of items missing are treated as missing, and keeping early leavers in the analysis. The quantitative section treats summed scales as interval, describes each group at both points, compares change scores with an independent samples t test and reports confidence intervals; satisfaction is reported as medians. Attendance is correlated with change, following Lucksted et al. (2013). The qualitative section sets out three interview questions and a coding sequence following Braun and Clarke (2006), with leftover codes reported. Trustworthiness strategies include two coders, an audit trail, member checking and memos, linked to the coders' own hopes. A joint display is planned, and subgroup analyses are ruled out.
Reading the MSW 515 Week 6 grading rubric
Faculty grade this plan heavily on the qualitative strand, because it is where most plans fail. Themes that appear with no account of how anyone got from transcripts to them earn little, however vivid the quotes. Credit follows a coding sequence a reader could repeat, named coders and a plan for material that fits nowhere. On the quantitative side, the procedure must suit the level of measurement and the sample size; means of single ordinal items and tests run on handfuls of cases lose points. Describing before comparing is expected. Trustworthiness strategies should be named and tied to real risks. An integration plan decided before results, including how disagreement will be reported, completes the main criteria.
Common MSW 515 Week 6 mistakes, and how to avoid them
Plans most often treat interview data as decoration: themes appear fully formed and a quote is attached to each. Another frequent problem is a statistical procedure chosen above the level of the data, such as averaging a single satisfaction rating, or a subgroup comparison with five people in a cell. Some plans never say how missing data will be handled, which invites suspicion later. Integration left vague, as in "the findings will be combined," also costs marks. If your evaluation is different, perhaps a youth program with attendance records and focus groups, the same parts apply: preparation, matched procedures, a coding sequence, trustworthiness and integration. A plan written for your data would state each rule before any data arrive.
Get a MSW-515 Week 6 example written to your instructions
Send the Week 6 instructions along with the evaluation design you have been building, and a custom analysis write-up is written to match your own data types and returned inside 24 to 48 hours. The first one is free. Tell us which software your section expects and the procedures are described for it.
More MSW 515 papers and MSW samples
- MSW 515 Week 1: Program to Evaluate Post
- MSW 515 Week 2: Logic Model and Evaluation Question
- MSW 515 Week 3: Family Education Literature Matrix
- MSW 515 Week 4: Wait-List Evaluation Design Plan
- MSW 515 Week 5: AB Single-System Design
- MSW 515 Week 7: Program Evaluation Plan
- MSW 515 Week 8: Findings Presentation
- MSW 516 Week 6: Community Level Application
- MSW 514 Week 6: Workforce Nonprofit Analysis
- MSW 517 Week 6: Agency Practice Memo
- MSW 513 Week 6: Advocacy Conflict Post
MSW 515 Week 6 questions, answered
How much detail does the qualitative section need?
Enough that a reader could repeat your route from transcripts to themes. Name the coding approach, say what happens on the first pass and the second, say who else reads the material, and say how categories became themes. The difference between a strong and a weak submission at this level is almost entirely in that passage.
Do I need statistical software?
Many sections name one and some leave it open. The write-up matters more than the tool, since what is being marked is whether the procedure fits the data and whether you can say why. Where software is required, describe what you would run in it rather than pasting output nobody asked for, and keep the interpretation in your own sentences.
What if the numbers and the interviews say opposite things?
Report it, because that is a finding rather than a problem. Scores that barely move while participants describe the group as the first place anyone listened to them tells an agency something real about what the service does. Plans that quietly drop one strand when it disagrees lose more than plans that describe the conflict and offer two readings of it.
Where can I find a free MSW 515 Week 6 sample paper?
The complete MSW 515 Week 6 data analysis plan for a family education course evaluation is published on this page, covering scores, interviews and integration, with margin notes.
How does the MSW 515 Week 6 sample handle disagreement between scores and interviews?
It plans a joint display with one row per outcome and reports any disagreement between the empowerment change and the interview themes as a finding rather than explaining it away.