| Course | PS598 Master's Capstone in Psychology |
|---|---|
| Unit | Unit 3 |
| Paper type | Literature search paper |
| Length | About 1,100 words, 7 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MS in Psychology |
| Updated | October 2026 |
Free sample paper for PS598 Unit 3
Four Databases, Nine Search Strings and Thirty-One Keepers: A PS598 Unit 3 Literature Search Paper on Self-Compassion and Test Anxiety
[Student Name]
Purdue University Global
PS598: Master's Capstone in Psychology
Unit 3 Literature Search Paper
[Instructor Name]
[Date]
The writer, the college and the search figures are composite and illustrative; the sources cited are real.
Purpose of the Search
The capstone asks whether a short burst of kind self-talk on paper, just before the first anatomy exam, can quiet the worry that derails students and lift their scores. The literature review needs to answer four questions: what test anxiety does to performance, what self-compassion is and how it is measured, whether self-compassion interventions work and whether brief writing before an exam can change outcomes. This paper documents the search I ran in March and how I judged what I found, so that someone else could repeat it.
Databases
I started with PsycINFO and PsycARTICLES through the Purdue Global Library, since both index peer-reviewed psychology journals. I added ERIC because test anxiety is studied heavily in education journals, and Google Scholar to find studies citing key papers. I did not use PubMed as a main source because my topic is educational rather than clinical, though two sources I kept are indexed there.
Search Strings
I built nine search strings from three concept groups. The first group named the predictor: "self-compassion," "self compassion" and "self-kindness." The second named the outcome: "test anxiety," "exam anxiety" and "evaluation anxiety." The third named the intervention format: "writing," "expressive writing" and "brief intervention." I combined one term from each of the first two groups with AND, then added the third group in a second round. In PsycINFO, I limited results to peer-reviewed journals in English published since 2000, with a separate search with no date limit for foundational work.
The first round returned 214 records in PsycINFO, 63 in ERIC and many hundreds in Google Scholar. The second round, adding writing terms, returned 41 in PsycINFO and 9 in ERIC.
Screening
I screened titles and abstracts against three rules. A source had to study test anxiety or a closely related evaluation stress, or self-compassion, or a brief pre-exam writing intervention. It had to report original data or a systematic synthesis, not opinion. And it had to involve adolescents or adults in an educational setting, or adults in general when the source was about self-compassion as a construct. After removing duplicates and screening, 58 sources remained for full reading. After reading, I kept 31.
The log matters more than the count: anyone who runs the same nine strings in the same databases should find the same thirty-one sources.
How I Judged Quality
For each source I asked five questions: Is it peer reviewed? What is the design? How large and relevant is the sample? Are the measures reliable and valid? How directly does it bear on my question?
Three sources show what I counted as strong. Von der Embse and colleagues synthesized 238 studies over thirty years, which gives far more weight than any single study and allows estimates of the size of the link between test anxiety and performance (von der Embse et al., 2018). Ferrari et al. (2019) combined the randomized trials of programs that teach self-compassion and found gains on a range of outcomes, anxiety, low mood, stress and self-criticism among them, so this kind of intervention has been tested experimentally. Ramirez and Beilock (2011) randomized students both in a lab and in an actual high school biology course, tested an exercise close to mine in format and timing and published in a journal with rigorous review.
Weaker sources still had uses. Several correlational studies linked self-compassion with lower test anxiety in undergraduates; they cannot show cause, but they support the idea that the two are related. I dropped sources that used unvalidated measures, studied populations far from mine without explaining the fit or appeared only in nonreviewed outlets.
Gaps Visible From the Search
The search itself revealed the gap my study addresses. I found many studies of self-compassion and general anxiety, several of expressive writing before exams and correlational studies linking self-compassion and test anxiety, but very few experiments that tested a brief self-compassion exercise immediately before a real exam. None that I found took place in a community college.
An Entry From the Log
The search log records more than titles. A typical entry reads: March 9, PsycINFO, string 4, self-compassion AND test anxiety, limited to peer-reviewed English articles since 2000, 37 records, 9 kept after abstract screening, 4 kept after full reading. For each kept source, the log notes the design, the sample and one sentence on its relevance. For each excluded source, it notes the reason, such as no original data, a clinical sample with no educational outcome or an unvalidated measure. Recording exclusions takes longer, but it protects against the temptation to drop studies that do not fit the argument.
Keeping the Search Current
A proposal written in spring will be reviewed months later, and new studies appear constantly. I set saved-search alerts in PsycINFO and Google Scholar for the three strongest strings, and I will rerun the full search before the final proposal in Unit 10, adding anything new to the log with its date.
I also plan a citation chase in both directions. For the four strongest sources, I will read the reference lists for older studies I missed and follow each one forward through the list of later papers that cite it, to catch newer work. Chasing citations often turns up the most relevant recent work, since a study testing a pre-exam writing exercise will almost certainly cite Ramirez and Beilock.
Organizing the Sources
I sorted the 31 sources into four folders in my reference manager, matching the four questions above, and wrote a two-sentence note on each: what it found and how it helps my argument. Those notes will become the raw material for the synthesis in Unit 5.
Limits of the Search
Limiting to English excluded some international work on self-compassion. Google Scholar results are not fully reproducible because its ranking changes. Publication bias is a concern, since null results on brief interventions are less likely to be published.
Conclusion
A documented search across PsycINFO, PsycARTICLES, ERIC and Google Scholar, with nine search strings and clear screening rules, produced 31 sources organized around four questions. Strong sources, such as von der Embse and colleagues' meta-analysis, Ferrari and colleagues' review of randomized trials and Ramirez and Beilock's classroom experiment, anchor the review, and the search itself showed the gap my study will fill.
References
Ferrari, M., Hunt, C., Harrysunker, A., Abbott, M. J., Beath, A. P., & Einstein, D. A. (2019). Self-compassion interventions and psychosocial outcomes: A meta-analysis of RCTs. Mindfulness, 10(8), 1455-1473. https://doi.org/10.1007/s12671-019-01134-6
Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331(6014), 211-213. https://doi.org/10.1126/science.1199427
von der Embse, N., Jester, D., Roy, D., & Post, J. (2018). Test anxiety effects, predictors, and correlates: A 30-year meta-analytic review. Journal of Affective Disorders, 227, 483-493. https://doi.org/10.1016/j.jad.2017.11.048
Reading the PS 598 Unit 3 instructions
The third PS598 unit asks you to plan and document a search of the scholarly literature and judge the quality of what you find. State the questions your literature review must answer. Name the databases you searched and why each fits your topic. Report your search strings, limits and the number of records each search returned. Describe your screening rules and how many sources survived each stage. Explain the criteria you used to judge quality, illustrating them with at least two strong sources and one weaker kind. Show an example log entry. Describe how you will keep the search current and find sources the databases missed, note what the search revealed about gaps in the field and state its limits.
How the PS 598 Unit 3 example is put together
The paper opens with the four questions the review must answer. Sections name the databases and explain why PubMed was secondary, then report nine search strings from three concept groups and the record counts. A screening section states three rules and the drop from 58 sources to 31, under a highlighted line about reproducibility. A quality section asks five questions and uses the meta-analysis, Ferrari and colleagues and Ramirez and Beilock as models, then explains what weaker correlational studies still offer. A log entry is quoted. Sections on alerts, citation chasing, gaps the search revealed, organizing sources and limits such as publication bias lead to the conclusion.
PS598 Unit 3 rubric: what earns full points
Instructors credit search papers that someone else could repeat: named databases, exact strings, limits, dates and counts at each stage. Clear screening rules, applied consistently, show method rather than convenience. Quality criteria should be stated and illustrated with real sources, showing why some evidence weighs more than other evidence. Recording exclusions as well as inclusions protects against cherry-picking and earns credit. A plan to keep the search current and to chase citations shows thoroughness. Noting gaps revealed by the search connects this unit to the review that follows. Honest limits, such as language restrictions and publication bias, and accurate references complete a strong paper. Sorting kept sources by the questions they answer prepares the synthesis in the next unit.
PS598 Unit 3 help: mistakes that cost points
Weak search papers list the sources found without saying how they were found, which makes the search impossible to judge or repeat. Others name a database but not the strings or limits used. Students often keep every source that mentions their topic, without quality criteria, or drop studies that do not fit their argument without recording why. Many forget that Google Scholar results change over time. Before submitting, check that each search has a date, a string and a count, that your screening rules are written out, that at least one excluded source has a stated reason and that you name one gap the search exposed.
Get a PS598 Unit 3 example written to your instructions
Send your topic and the instructions with the rubric. A custom paper documents a literature search and evaluates its sources. Turnaround is 24-48h, free for a first request. 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.
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PS598 Unit 3 questions, answered
Which databases should psychology students search?
PsycINFO and PsycARTICLES first, with ERIC, PubMed or others when the topic crosses fields.
How do you judge a source?
By peer review, design, sample, measures, how often others cite it and how well it fits the question.
Should the search be documented?
Yes. A log of databases, terms, limits and results lets others repeat it.
Where can I find a free PS598 Unit 3 sample paper?
A complete PS598 Unit 3 literature search paper with its databases, strings and screening counts is reproduced above.
How many sources does the PS598 Unit 3 sample keep?
Thirty-one, after 58 were read in full from the screened search results.