Applied Clinical Informatics, Table of Contents Appl Clin Inform 2013; 04(03): 434-444DOI: 10.4338/ACI-2013-07-RA-0044 Research Article Schattauer GmbH What big size you have! Using effect sizes to determine the impact of public health nursing interventions K. E. Johnson 1 The University of Texas at Austin, School of Nursing , B.J. McMorris 2 University of Minnesota, School of Nursing , L.A. Raynor 3 University of Minnesota, Division of General Pediatrics and Adolescent health, Department of Pediatrics, Medical School , K. A. Monsen 2 University of Minnesota, School of Nursing 4 University of Minnesota, Institute for Health Informatics › Author Affiliations Recommend Article Abstract Full Text PDF Download Keywords KeywordsNursing informatics - public health nursing - methods References References 1 American Psychological Association.. Publication manual of the American Psychological Association.. 6th ed. Washington, DC: The Association; 2001 2 Greenwald AG, Gonzalez R, Harris RJ, Guthrie D. Effect sizes and p values: what should be reported and what should be replicated?. Psychophysiology 1996; 3 (02) 175-183. 3 Huck SW. Reading statistics and research.. 5th ed. Boston: Pearson/Allyn & Bacon; 2008 4 Kotrlik JW, Williams HA. The incorporation of effect size in information technology, learning, and performance research.. Inf Technol Learn Perform 2003; 21 (01) 1-7. 5 Martin KS. The Omaha System: a key to practice, documentation, and information management.. Reprinted 2nd ed. Omaha, NE: Health Connections Press; 2005 6 Monsen KA, Fulkerson JA, Lytton AB, Taft LL, Schwichtenberg LD, Martin KS. Comparing maternal child health problems and outcomes across public health nursing agencies.. Matern Child Health J 2010; 14 (03) 412-421. 7 Zakzanis KK. Statistics to tell the truth, the whole truth, and nothing but the truth: formulae, illustrative numerical example, and heuristic interpretation of effect size analyses for neuropsychological researchers.. Arch Clin Neuropsychol 2001; 16: 653-667. 8 Cohen J. A power primer.. Psychol Bull 1992; 112 (01) 155-159. 9 Thompson B. What future quantitative social science research could look like: confidence intervals for effect sizes.. Educ Res 2002; 31 (03) 25-32. 10 Martin KS, Norris J, Leak GK. Psychometric analysis of the Problem Rating Scale for Outcomes.. Outcomes Manag Nurs Pract 1999; 3: 20-25. 11 Kadel RP, Kip KE. A SAS macro to compute effect size (Cohen’s d) and its confidence interval from raw survey data.. Proceedings of the Annual Southeast SAS Users Group Conference; 2012, paper SD-06. 12 Vacha-Hasse T, Nilsson JE, Reetz DR, Lance TS, Thompson B. Reporting practices and APA editorial policies regarding statistical significance and effect size.. Theor Psychol 2000; 10 (03) 413-425.
