Session: Writing for Research: Masters Level Data Analysis Writing (Society for Social Work and Research 27th Annual Conference - Social Work Science and Complex Problems: Battling Inequities + Building Solutions)

All in-person and virtual presentations are in Mountain Standard Time Zone (MST).

SSWR 2023 Poster Gallery: as a registered in-person and virtual attendee, you have access to the virtual Poster Gallery which includes only the posters that elected to present virtually. The rest of the posters are presented in-person in the Poster/Exhibit Hall located in Phoenix A/B, 3rd floor. The access to the Poster Gallery will be available via the virtual conference platform the week of January 9. You will receive an email with instructions how to access the virtual conference platform.

201 Writing for Research: Masters Level Data Analysis Writing

Saturday, January 14, 2023: 8:00 AM-9:30 AM
Valley of the Sun B, 2nd Level (Sheraton Phoenix Downtown)
Cluster: Research on Social Work Education
Wendy Zeitlin, PhD, Montclair State University
Susan Mason, Ph.D., Yeshiva University
This Workshop demonstrates teaching and learning dynamics involved in a beginner's level of writing for research. Advanced researchers too often forget how they learned to write up their researchable ideas and statistical findings. To encourage more social work students to engage in research, we need to take the "mystery" out of writing proposals and reporting findings.

The Workshop begins with concepts related to writing research questions and moves on to the following topics: 1. Conceptualizing and creating research variables that work with statistical software. We use Stata as the example but this could easily be used in SPSS, or R and others. 2. Hypothesis writing that is logically linked to the research question. 3. Writing findings from data analysis. This includes reading and interpreting data analyses, knowing how to correctly write them in standardized formats, and importantly, how to explain the findings to the reader. 4. We use as our examples for topic three, basic descriptive statistics and bivariate findings, independent sample t-tests, correlations, one-way analysis of variance, and Pearson's' chi-square based on contingency tables. 5. We explain both the importance and limitations of statistical with videos, slides and published studies. 7. We plan to expand this workshop to include higher level statistics for interested students. We would like to include multivariate, compensatory factor analysis, logistic regression, generalized structural equation modeling, etc. 8. We encourage participants to contribute their ideas for teaching Masters level, beginning researchers how to conceptualize and write data analysis findings.

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