Empirical Reporting Practices in Community College Journal of Research and Practice and Journal of Developmental Education From 2002 to 2011: A Systematic Review

References

• American Educational Research Association (AERA). (2006). Standards for reporting on empirical social science research in AERA publications. Educational Researcher, 35(6), 33–40. doi:10.3102/0013189X035006033
   Google Scholar
• American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.
   Google Scholar
• Aud, S., Hussar, W., Kena, G., Bianco, K., Frohlich, L., Kemp, J., … Hannes, G. (2011, May). The Condition of Education 2011 (NCES 2011-033). Washington, DC: U.S. Government Printing Office. Retrieved from http://nces.ed.gov/pubs2011/2011033.pdf
   Google Scholar
• Bailey, T. R., & Alfonso, M. (2005). Paths to persistence: An analysis of research on program effectiveness at community colleges [Monograph]. Lumina Foundation for Education New Agenda Series, 6(1). Retrieved from http://www.luminafoundation.org/publications/PathstoPersistence.pdf
   Google Scholar
• Baloglu, M. (2002). Psychometric properties of the statistics anxiety rating scale. Psychological Reports, 90, 315–325. doi:10.2466/pr0.2002.90.1.315
   PubMed Web of Science ®Google Scholar
• Bracht, G. H., & Glass, G. V. (1968). The external validity of experiments. American Educational Research Journal, 5(4), 437–474.
   Web of Science ®Google Scholar
• Brothen, T., & Wambach, C. A. (2004). Refocusing developmental education. Journal of Developmental Education, 28(2), 16–23.
   Google Scholar
• Browne, M. N., & Keeley, S. M. (2007). Asking the right questions: A guide to critical thinking (8th ed.). Upper Saddle River, NJ: Pearson Prentice-Hall.
   Google Scholar
• Buros Center for Testing. (2013). Buros Center for Testing. Retrieved from http://www.unl.edu/buros/bimm/index.html
   Google Scholar
• Capraro, R. M., & Thompson, B. (2008). The educational researcher defined: What will future researchers be trained to do? The Journal of Educational Research, 101(4), 247–253. doi:10.3200/JOER.101.4.247-253
   Web of Science ®Google Scholar
• Carnegie Foundation for the Advancement of Teaching. (n.d.). Developmental math. Retrieved from http://www.carnegiefoundation.org/developmental-math
   Google Scholar
• Cleveland, W. S., & Devlin, S. J. (1988). Locally-weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association, 83(403), 596–610. doi:10.1080/01621459.1988.10478639
   Web of Science ®Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. doi:10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49(12), 997–1003. doi:10.1037/0003-066X.49.12.997
   Web of Science ®Google Scholar
• College Board. (2013). Welcome to ACCUPLACER. Retrieved from https://www.accuplacer.org/cat/
   Google Scholar
• Complete College America. (2011). About us. Retrieved from http://www.completecollege.org/about/
   Google Scholar
• Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). Thousand Oaks, CA: Sage.
   Google Scholar
• Cumming, G., & Finch, S. (2005). Inference by eye. American Psychologist, 60(2), 170–180. doi:10.1037/0003-066X.60.2.170
   PubMed Web of Science ®Google Scholar
• Davidson Institute for Talent Development. (2013). Resources: Buros Institute of Mental Measurements. Retrieved from http://www.davidsongifted.org/db/Resources_id_12342.aspx
   Google Scholar
• Developmental Education Initiative. (2013). What we do. Retrieved from http://www.deionline.org/about/
   Google Scholar
• Edgington, E. (1964). A tabulation of inferential statistics used in psychology journals. American Psychologist, 19(3), 202–203. doi:10.1037/h0039177
   Web of Science ®Google Scholar
• Elmore, P. B., & Woehlke, P. L. (1998, April). Twenty years of research methods employed in “American Educational Research Journal,” “Educational Researcher,” and “Review of Educational Research.” Paper presented at the Annual Meeting of the American Educational Research Association, San Diego, CA.
   Google Scholar
• Fidler, F., Cumming, G., Thomason, N., Pannuzzo, D., Smith, J., Fyffe, P., … Schmit, R. (2005). Toward improved statistical reporting in the Journal of Consulting and Clinical Psychology. Journal of Consulting and Clinical Psychology, 73(1), 136–143. doi:10.1037/0022-006X.73.1.136
   PubMed Web of Science ®Google Scholar
• Getting Past Go. (n.d.). Project description. Retrieved from gettingpastgo.org/about/project-description/
   Google Scholar
• Goodwin, L. D., & Goodwin, W. L. (1985). Statistical techniques in AERJ articles, 1979–1983: The preparation of graduate students to read the educational research literature. Educational Researcher, 14(2), 5–11.
   Google Scholar
• Grissom, R. J., & Kim, J. J. (2005). Effect sizes for research: A broad practical approach. New York, NY: Psychology Press.
   Google Scholar
• Institute of Education Sciences (IES). (2013a). About us. Retrieved from http://ies.ed.gov/ncer/aboutus/
   Google Scholar
• Institute of Educational Sciences (IES). (2013b). Thomas W. Brock. Retrieved from http://ies.ed.gov/ncer/aboutus/
   Google Scholar
• Keselman, H. J., Huberty, C. J., Lix, L. M., Olejnik, S., Cribbie, R. A., Donahue, B., … Levin, J. R. (1998). Statistical practices of educational researchers: An analysis of their ANOVA, MANOVA, and ANCOVA analyses. Review of Educational Research, 68(3), 350–386. doi:10.3102/00346543068003350
   Web of Science ®Google Scholar
• Kieffer, K. M., & Reese, R. J. (2009). Measurement of test and study worry and emotionality in college students: A psychometric evaluation of the Test and Study Attitudes Inventory. Educational and Psychological Measurement, 69(2), 303–321. doi:10.1177/0013164408323231
   Web of Science ®Google Scholar
• Kieffer, K. M., Reese, R. J., & Thompson, B. (2001). Statistical techniques employed in “AERJ” and “JCP” articles from 1988 to 1997: A methodological review. Journal of Experimental Education, 69(3), 280–309. doi:10.1080/00220970109599489
   Web of Science ®Google Scholar
• Klingner, J. K., Scanlon, D., & Pressley, M. (2005). How to publish in scholarly journals. Educational Researcher, 34(8), 14–20. doi:10.3102/0013189X034008014
   Google Scholar
• Levin, H. M., & Calcagno, J. C. (2008). Remediation in the community college: An evaluator’s perspective. Community College Review, 35(3), 181–207. doi:10.1177/0091552107310118
   Google Scholar
• Merisotis, J. P., & Phipps, R. A. (2000). Remedial education in colleges and universities: What’s really going on? Review of Higher Education, 24(1), 67–86. doi:10.1353/rhe.2000.0023
   Web of Science ®Google Scholar
• National Center for Developmental Education. (2012). Journal of Developmental Education (JDE). Retrieved from http://ncde.appstate.edu/publications/journal-developmental-education-jde
   Google Scholar
• National Center for Education Statistics. (2010). Profile of undergraduate students: Trends from selected years, 1995–96 to 2007–08 (NCES 2010-220). Washington, DC: U.S. Department of Education. Retrieved from http://nces.ed.gov/pubs2010/2010220.pdf
   Google Scholar
• O’Hear, M. F., & MacDonald, R. B. (1995). A critical review of research in developmental education: Part 1. Journal of Developmental Education, 19(2), 2–4, 6.
   Google Scholar
• Parker, T. L., Bustillos, L. T., & Behringer, L. B. (2010 August). Remedial and developmental education policy at a crossroads. Denver, CO: Education Commission of the States and the Center for Postsecondary Research on Preparation, Access and Remedial Education (PRePARE) at the University of Massachusetts-Boston. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.188.7104&rep=rep1&type=pdf
   Google Scholar
• Schinka, J. A., LaLone, L., & Broeckel, J. A. (1997). Statistical methods in personality assessment research. Journal of Personality Assessment, 68(3), 487–496. doi:10.1207/s15327752jpa6803_2
   PubMed Web of Science ®Google Scholar
• Silverman, R. J. (1987). How we know what we know: A study of higher education journal articles. Review of Higher Education, 11(1), 39–59.
   Google Scholar
• Skidmore, S. T., & Thompson, B. (2010). Statistical techniques used in published articles: A historical review of reviews. Educational and Psychological Measurement, 70(5), 777–795. doi:10.1177/0013164410379320
   Web of Science ®Google Scholar
• Stinson, J. N., Kavanagh, T., Yamada, J., Gill, N., & Stevens, B. (2006). Systematic review of the psychometric properties, interpretability and feasibility of self-report pain intensity measures for use in clinical trials in children and adolescents. Pain, 125(1–2), 143–157. doi:10.1016/j.pain.2006.05.006
   PubMed Web of Science ®Google Scholar
• Taylor & Francis. (n.d.). Community College Journal of Research and Practice: Aims and scope. Retrieved from http://www.tandfonline.com/action/aboutThisJournal?show=aimsScope&journalCode=ucjc20
   Google Scholar
• Thompson, B. (1999). Journal editorial policies regarding statistical significance tests: Heat is to fire as p is to importance. Educational Psychology Review, 11(2), 157–169. doi:10.1023/A:10220285098
   Web of Science ®Google Scholar
• Thompson, B. (2006). Foundations of behavioral statistics: An insight-based approach. New York, NY: Guilford.
   Google Scholar
• Thompson, B. (2007). Effect sizes, confidence intervals, and confidence intervals for effect sizes. Psychology in the Schools, 44(5), 423–432. doi:10.1002/pits.20234
   Web of Science ®Google Scholar
• Weinstein, C. E., Schulte, A., & Palmer, D. R. (1987). The Learning and Study Strategies Inventory. Clearwater, FL: H & H.
   Google Scholar
• Wilkinson, L., & the Task Force on Statistical Inference. (1999). Statistical methods in psychology journals guidelines and explanations. American Psychologist, 54(8), 594–604. doi:10.1037/0003-066X.54.8.594
   Web of Science ®Google Scholar
• Zientek, L. R., Capraro, M. M., & Capraro, R. M. (2008). Reporting practices in quantitative teacher education research: One look at the evidence cited in the AERA panel report. Educational Researcher, 37, 208–216.
   Google Scholar
• Zientek, L. R., & Thompson, B. (2009). Matrix summaries improve research reports: Secondary analyses using published literature. Educational Researcher, 38(5), 343–352. doi:10.3102/0013189X09339056
   Web of Science ®Google Scholar