HLTH 511 Week 7 Research Project: Results Example

Reviewed by Laura Hargrove, MPH · Liberty University · Updated

This HLTH 511 Week 7 sample presents the findings of a class research project linking aerobic guideline adherence with self-rated health, showing how to report SPSS output in APA style. Among 1,200 adults, 52.0% met the guideline and 79.0% rated their health as good or better. A chi-square test found a significant association: 86.1% of adults meeting the guideline reported good or better health compared with 71.4% of those who did not, χ²(1) = 39.03, p < .001, with an odds ratio of 2.48 and a small-to-moderate Cramér's V of 0.18. Adults with good or better health reported 93.7 more weekly activity minutes on average, a medium effect of d = 0.60. Each finding appears with its table and a sentence of interpretation. For Liberty University HLTH 511 MPH students, this 110-point section is the project's seventh-week deliverable.

CourseHLTH 511 Research Methods in Public Health (HLTH511)
Module/Week7
AssignmentResearch Project: Results
Paper typeResearch project results section
Lengthabout 463 words, 2 double-spaced pages plus title page and references. Course guide: the results section of the research project, with SPSS descriptive statistics, tables or graphs and statistical test results for each research question, within the project's 2,500-word limit
FormatAPA 7 student paper
Points110
SchoolLiberty University Online
ProgramMPH
Where it sitsModule/Week 7 in Liberty's published HLTH 511 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for HLTH 511 Week 7

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Results: Guideline Adherence, Activity Minutes and Self-Rated Health in 1,200 Adults

 

[Student Name]

School of Health Sciences, Liberty University

HLTH 511: Research Methods in Public Health

Research Project: Results

[Instructor Name]

[Date]

 

The statistics in this sample are illustrative, computed for an example dataset to show how SPSS results are reported and interpreted; your project reports the output from your own data.

Why this part earns its pointsThe descriptive table comes first so readers know who was studied before any test is reported.
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Results: Guideline Adherence, Activity Minutes and Self-Rated Health in 1,200 Adults

Sample Characteristics

The analytic sample included 1,200 adults with complete data on both study variables. Table 1 summarizes their characteristics, using the categories defined in the methods section.

Characteristicn%
Female64854.0
Age 18-4445638.0
Age 45-6443236.0
Age 65 and older31226.0
Met aerobic guideline62452.0
Good, very good or excellent self-rated health94879.0

Mean weekly moderate-equivalent activity was 192.7 minutes (SD = 159.9), and the distribution was positively skewed, with a median of 160 minutes. About 9% of respondents reported no moderate or vigorous activity at all, and a small number reported more than 900 minutes, values that were checked and retained because they fell within the survey's allowed range. The share meeting the aerobic guideline, 52.0%, was lower than the 65.2% that national examination survey data showed for 2015-2016 (Du et al., 2019), which may reflect differences in how surveys ask about work, travel and leisure activity; this comparison is descriptive only. The five-category self-rated health item was distributed as follows: excellent 17.3%, very good 31.8%, good 29.9%, fair 15.1% and poor 5.9%.

Why this part earns its pointsEach research question is reported in the same order and format as the methods section planned.
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RQ1: Guideline Adherence and Self-Rated Health

Guideline statusGood or better health, n (%)Fair or poor health, n (%)Total
Met guideline537 (86.1)87 (13.9)624
Did not meet guideline411 (71.4)165 (28.6)576

A chi-square test of independence linked meeting the aerobic guideline with self-rated health at a significant level, χ²(1, N = 1,200) = 39.03, p < .001, Cramér's V = .18. Adults who met the guideline had 2.48 times the odds of reporting good or better health (95% CI [1.85, 3.31]). The null hypothesis of no association was rejected. In practical terms, about one in seven adults who met the guideline rated their health fair or poor, compared with more than one in four who did not.

Why this part earns its pointsThe second question reports the assumption check before the test, which shows statistical care.
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RQ2: Activity Minutes by Self-Rated Health

Self-rated healthnMean weekly minutesSD
Good or better948212.4158.6
Fair or poor252118.7141.2

Levene's test indicated unequal variances, F = 6.84, p = .009, so the Welch-corrected result is reported. Adults with good or better self-rated health reported significantly more weekly activity than those with fair or poor health, t(434.6) = 9.12, p < .001, a mean difference of 93.7 minutes (95% CI [73.5, 113.9]), d = 0.60. The null hypothesis of equal means was rejected. The standard t-test assuming equal variances gave nearly the same result, so the conclusion does not depend on which version is used. Because activity minutes were skewed, a Mann-Whitney U test was run as a sensitivity analysis and also showed a significant difference, p < .001. The effect sizes say more than the p-values here: an odds ratio near 2.5 and a medium standardized difference describe a gap large enough to matter for health promotion.

Summary of Findings

Both null hypotheses were rejected, and the sensitivity analysis did not change the conclusion for the second question. Meeting the aerobic guideline was associated with higher odds of good or better self-rated health, and adults reporting good or better health were more active on average, with effects in the small-to-medium range by the conventions in Cohen (1992), interpreted as Jacobsen (2017) recommends. These results are cross-sectional and do not establish direction or cause; the final submission will discuss reverse causation, self-report bias and the lack of survey weights as limits on interpretation.

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References

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. https://doi.org/10.1037/0033-2909.112.1.155

Du, Y., Liu, B., Sun, Y., Snetselaar, L. G., Wallace, R. B., & Bao, W. (2019). Trends in adherence to the Physical Activity Guidelines for Americans for aerobic activity and time spent on sedentary behavior among US adults, 2007 to 2016. JAMA Network Open, 2(7), e197597. https://doi.org/10.1001/jamanetworkopen.2019.7597

Jacobsen, K. H. (2017). Introduction to health research methods: A practical guide (2nd ed.). Jones & Bartlett Learning.

What the HLTH 511 Week 7 instructions ask

HLTH 511 collects the results part of the project during Module/Week 7, alongside chapters 19, 20, 23 and 24 of Jacobsen, the section of chapter 28 on survival analysis, two presentations, a lecture note, SPSS Assignment 7 and Hypothesis Writing Quiz 5. The results section reports what the analyses planned in the methods section actually found, drawing on the SPSS output: summary statistics, at least one table or chart and the inferential test behind each research question. Interpretation of meaning belongs mostly in the discussion of the final submission, so the results section should state findings accurately and plainly. The whole project, including this section, must stay within 2,500 words.

How this HLTH 511 Week 7 example is built

The sample results section begins with a description of the sample in a table of frequencies and percentages. It then addresses each research question in order. For the first, a cross-tabulation shows the percentage of adults with good or better self-rated health by guideline status, followed by the chi-square statistic, degrees of freedom, p-value, odds ratio with its confidence interval and Cramér's V. For the second, a table reports group means and standard deviations, Levene's test, the Welch t statistic, the mean difference with its confidence interval and Cohen's d. A sensitivity analysis confirms the second result with a nonparametric test, and each finding ends with a plain-language sentence and a decision about the null hypothesis.

HLTH 511 Week 7 grading rubric: where the points go

The HLTH 511 results section is generally graded on accurate reporting of descriptive statistics, correct presentation of each statistical test in APA style with test statistics, degrees of freedom and p-values, inclusion of effect sizes, clear tables or graphs drawn from SPSS output and correct decisions about each null hypothesis. Instructors look for consistency with the methods section, so every planned test should appear. Reporting assumption checks, such as Levene's test, and choosing the corrected statistic when needed show statistical care. Plain-language summaries help, but extended interpretation should wait for the discussion in the final submission.

HLTH 511 Week 7 help: mistakes that cost points

Report descriptive statistics for your sample first, in a table with frequencies, percentages, means and standard deviations. Then take each research question in the order of your methods section and report the test exactly: the test value, its df, the exact p and a measure of effect size, all in APA style. Include the relevant table or graph from SPSS, reformatted cleanly. State whether you reject or fail to reject each null hypothesis. If an assumption is violated, report the corrected result. Keep interpretation brief and save the broader meaning for the discussion, though a single plain sentence after each test helps readers who are not statisticians. Confirm each figure in your prose against the SPSS tables and that the project stays under 2,500 words.

Related HLTH 511 sample papers

Other HLTH 511 weeks

HLTH 511 Week 7 questions, answered

What is the HLTH 511 Research Project: Results?

Worth 110 points, it is the third installment of the MPH project, submitted in the seventh module/week and reporting SPSS descriptive statistics, tables and test results for each research question.

Where can I find a free HLTH 511 Week 7 sample paper?

The full HLTH 511 Week 7 results section on this page includes with a chi-square test, a Welch t-test, effect sizes and APA-style tables.

How do I report a chi-square test in APA style?

Give the statistic with degrees of freedom and sample size where useful, the p-value and an effect size, for example χ²(1) = 39.03, p < .001, Cramér's V = .18.

What should I do if Levene's test is significant?

Report the t-test result that does not assume equal variances, often called Welch's t-test, which SPSS shows on the second row of the output table.

What else is due in HLTH 511 Module/Week 7?

SPSS Assignment 7 and Hypothesis Writing Quiz 5 are due with the results section, along with readings that include the survival analysis section of chapter 28.

Use it as a model, or ask for your own

This paper is an original model written by our desk for study. It is not a submitted student paper and not an official Liberty University document. Read it for structure and reasoning, then write your own to the instructions in your Canvas course. If you want a version built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.