PS598 Unit 7 Research Design and Sample Paper Example

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This PS598 Unit 7 research design and sample paper sets the method for a self-compassion writing experiment at a Rock Springs community college: two chance-formed groups compared once, with a week-one self-compassion score as covariate, identical sealed envelopes opened as the first anatomy exam period begins and instructors kept blind. Shadish, Cook and Campbell's list of threats guides the safeguards, from selection and history to diffusion, expectancy and attrition, with low engagement measured rather than removed. Faul and colleagues' G*Power, with Cohen's conventions, sets about 130 students per group for d = 0.35, which requires two terms of enrollment. Within-subjects, cluster and waitlist designs are weighed and set aside. The composite writer is in the MS in Psychology capstone track. Purdue Global PS 598 assigns this paper in Unit 7.

CoursePS598 Master's Capstone in Psychology
UnitUnit 7
Paper typeResearch design and sample paper
LengthAbout 1,110 words, 7 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMS in Psychology
UpdatedOctober 2026

Free sample paper for PS598 Unit 7

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Envelopes That Look the Same: A PS598 Unit 7 Paper on Research Design, Validity Threats and Sample Size for a Pre-Exam Writing Experiment

[Student Name]

Purdue University Global

PS598: Master's Capstone in Psychology

Unit 7 Research Design and Sample Paper

[Instructor Name]

[Date]

The writer, the college, the enrollment figures and the planned study are composite and illustrative; the sources cited are real.

What this part is doingGiving the design, the threats and the number in the lead shows this is a decision document, not a description.
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Design

Two groups, formed by chance and compared on one occasion, with a self-compassion score from week one as a covariate: that is the design. Students who consent will complete the Self-Compassion Scale Short Form in the first week of the term. Ten minutes before the first unit exam in Anatomy and Physiology I, each student will open a sealed envelope containing a writing prompt and write for ten minutes. Half the envelopes will contain the self-compassion prompt and half a neutral prompt asking students to describe the route they took to campus that morning. Students will then take the exam. Immediately afterward, they will complete the Cognitive Test Anxiety Scale about how they felt during the exam. Exam scores will be collected from the instructors after grading.

In Unit 2 I considered a third condition, expressive writing about worries. The power analysis below showed that adding it would require roughly 120 more students, more than the college can supply in one academic year. The third arm is left for a follow-up study.

Why Random Assignment

Shadish et al. (2002) treat internal validity as how confidently a study can say the thing it changed produced the difference it found. Random assignment is the strongest protection, because it spreads differences among participants, such as preparation, prior grades and anxiety, evenly across conditions on average, so that they cannot explain differences in outcomes. My hypotheses are causal, so random assignment is essential.

Randomization will be done at the student level. Envelopes will be identical on the outside and shuffled by a library aide who has no other role in the project, and students will receive them in the order they enter the room. Neither the instructors nor I will know which prompt a student received until after scoring.

Identical envelopes keep the instructors blind and the students unaware that their neighbors may be writing about something else.

What this part is doingExplaining a practical detail as a validity safeguard shows the design was thought through at the level of the exam room.
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Threats to Internal Validity

Shadish and colleagues list common threats to internal validity. Several are controlled by the design. Selection is controlled by random assignment. History, events between the start of the study and the outcome, is unlikely to differ between conditions, since both groups take the same exam at the same time. Testing effects are minimal because the anxiety scale is given only once, after the exam.

Others need specific safeguards. Diffusion of treatment, in which students in one condition learn about the other, is possible if students compare prompts. Since prompts are opened at the exam, the risk is low for the first exam, which is why the study uses only that one. Experimenter expectancy is reduced by keeping instructors blind. Differential attrition, if students in one condition skip the post-exam scale more often, will be checked by comparing completion rates.

One threat cannot be fully removed: students who engage with the prompt only superficially. I will code each writing sample for whether it addresses the prompt and report results with and without nonengaged writers.

Exam Day, Minute by Minute

The procedure on exam day has to fit a fixed fifty-minute class period. At the start of class, the research assistant hands out envelopes as students take their seats. Instructors read a single scripted sentence: "Please open your envelope and follow the instructions for the next ten minutes." The assistant times the writing, collects the sheets in a folder without reading them and the instructor distributes the exam. When students hand in their exams, they receive the anxiety scale on a half sheet with their study code and return it to a box by the door. The whole study adds about twelve minutes to the period, so instructors have agreed to schedule the first exam in their seventy-five-minute lab slot.

Designs I Did Not Choose

A within-subjects design, in which every student completes both kinds of writing before different exams, would need fewer students, but carryover is a serious problem: once students practice self-compassion, they cannot return to their earlier habits for the neutral session. A cluster design, randomizing whole sections rather than students, would reduce diffusion but would require many more sections to reach the same power, since students within a section resemble one another. Individual randomization with sealed envelopes balances these concerns. A waitlist design, delaying the exercise for half the students until the second exam, was also considered; it would give everyone the exercise eventually, but I chose to meet that fairness goal through the ethics plan instead, by sharing the prompt with all sections after the first exam.

External Validity

The sample will be community college students in one course at one college in Wyoming. Results may not generalize to universities, other courses or other regions. Shadish and colleagues emphasize that generalization should be argued, not assumed, so the proposal will describe the sample in detail and treat broader claims cautiously.

Sample Size

Cohen (1992) argued that studies should be planned with enough power to detect the effect sizes researchers expect, and provided conventions of small, medium and large effects. Brief interventions tend to produce small to medium effects. For the main comparison, an independent-samples test of cognitive test anxiety between two groups, I used G*Power (Faul et al., 2007) with a two-tailed alpha of .05, desired power of .80 and an expected effect size of d = 0.35, between Cohen's small and medium conventions. The required sample is about 130 students per group, or 260 in total.

Recruitment

The college enrolls about 240 students in Anatomy and Physiology I across eight sections each fall and a similar number each spring. Assuming that about 65 percent of students consent and that 10 percent of those do not complete the post-exam scale, the study will need both terms of one academic year to reach 260 complete cases. Running the study in two terms adds a possible history threat, so term will be included as a covariate.

Conclusion

A randomized two-group design with sealed, identical envelopes and blind instructors will let the study speak about cause, at least for these students on this exam. Shadish and colleagues' list of threats guided the safeguards, and the remaining threat of low engagement will be measured. A power analysis in G*Power, informed by Cohen's conventions, sets the sample at about 260 students across two terms.

What this part is doingEnding with the design, safeguards and sample in one paragraph shows the method is complete enough to review.
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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

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191. https://doi.org/10.3758/BF03193146

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

PS598 Unit 7 instructions, in plain terms

For Unit 7, choose a research design for your study, address threats to internal validity and plan your sample. Describe the design and the procedure step by step, including how and when participants are assigned and measured. Explain why the design suits your hypotheses. Using a recognized source on validity, list the threats that apply and the safeguard for each, and name any threat you cannot remove and how you will measure it. Address external validity. Run a power analysis, reporting the test, alpha, power and expected effect size with a justification, and translate the result into a recruitment plan. Explain which alternative designs you considered and why you did not choose them.

How this PS598 Unit 7 example is built

The paper opens with the design and the exam-day sequence, and explains that power ruled out a third condition. A section justifies random assignment with Shadish and colleagues and describes the envelopes, beneath a highlighted line about blind instructors. A threats section separates threats the design controls from those needing safeguards and the one it cannot remove. A minute-by-minute exam-day section follows, then a section on designs not chosen. External validity is discussed. A sample size section reports the G*Power settings and the result of about 130 per group, and a recruitment section works out consent and completion rates across two terms before the conclusion.

PS598 Unit 7 rubric: what earns full points

The rubric looks for a design that matches the hypotheses, especially random assignment for causal claims, and a procedure described in enough detail to be carried out. The heaviest weight goes to validity: each relevant threat should be named, with a specific safeguard, and any remaining threat should be measured or acknowledged. A power analysis with stated settings and a justified effect size earns substantial credit, as does a realistic recruitment plan built from it. Weighing alternative designs shows judgment. Attention to external validity shows balance. Clear organization and accurate references for the validity source and the power tools complete a strong methods section. Showing how the exam-day steps fit a real class period proves the design can be run.

PS598 Unit 7 help from the desk

The most common Unit 7 weakness is naming a design without explaining how assignment and measurement will actually happen in the setting. Another is a sample size chosen because it seems large enough, with no power analysis. Students often copy a list of validity threats without saying which ones touch their study or how they will address them. Some ignore practical constraints, such as class periods or enrollment, until the recruitment plan fails. Before submitting, check that your procedure has times or steps, that every listed threat has a safeguard, that your power analysis reports four settings and that your recruitment math reaches the target.

Get a PS598 Unit 7 example written to your instructions

Send your hypotheses and the instructions with the rubric. A custom paper sets the design, validity safeguards and sample for your study. It comes back within 24-48h, first one free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More PS598 papers and MS in Psychology samples

PS598 Unit 7 questions, answered

What is internal validity?

The degree to which a study can show that the manipulation, not something else, caused the result.

How is sample size chosen?

With a power analysis based on the expected effect size, alpha level and desired power.

What is random assignment for?

To spread unmeasured differences evenly across groups so they do not explain the result.

Where can I find a free PS598 Unit 7 sample paper?

A complete PS598 Unit 7 design and sample paper for a pre-exam writing experiment is reproduced above.

How large is the sample in the PS598 Unit 7 sample?

About 260 students, roughly 130 per group, from a G*Power analysis for d = 0.35 with power of .80.