An empirical examination of visual analysis procedures for clinical practice evaluation

Journal of Social Service Research

Volumn 30, Issue 3, 2004, Pages 55-73

  Borckardt, Jeffrey J ^a   Murphy, Martin D ^b   Nash, Michael R ^c   Shaw, Darlene ^d,e,f  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF AKRON   (United States)

^c UNIVERSITY OF TENNESSEE   (United States)

^d Dept of Psychiatry ^*  (United States)

^e Counseling/Psychological Services ^*  (United States)

^f MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Clinical practice; Practice evaluation; Time series analysis; Visual analysis

Indexed keywords

EID: 3042736237     PISSN: 01488376     EISSN: None     Source Type: Journal    
DOI: 10.1300/J079v30n03_04     Document Type: Article

References (29)

1. Beutler, L. E. (2000). David and Goliath: When empirical and clinical standards of practice meet. American Psychologist, 55 (9), 997-1007.
2. Bloom, M., Fischer, J., and Orme, J. G. (2003). Evaluating practice: Guidelines for the accountable professional, fourth edition. Boston: Allyn & Bacon.
3. Borckardt, J. J., Murphy, M. D., Nash, M. R., Moore, M., and Shaw, D. (under review). Are-evaluation and modification of the PND-statistic for use with very short data streams.
4. Borckardt, J. J., and Nash, M. R. (2002). How practitioners (and others) can make scientifically viable contributions to clinical-outcome research using the single-case time series design. International Journal of Clinical & Experimental Hypnosis, 50 (2), 114-148.
5. Callaghan, G. M. (2001). Demonstrating clinical effectiveness for individual practitioners and clinics. Professional Psychology: Research and Practice, 32 (3), 289-297.
6. Clement, P. W. (1994). Quantitative evaluation of 26 years of private practice. Professional Psychology: Research and Practice, 25 (2), 173-176.
7. Crosbie, J. (1993). Interrupted time-series analysis with brief single subject data. Journal of Consulting and Clinical Psychology, 61 (6), 966-974.
8. Crosbie, J. (1994). Interrupted time-series analysis with short series: Why it is problematic; how it can be improved. In J. M. Gottman (Ed). The analysis of change. NJ: Erlbaum.
9. Ferron, J., and Onghena, P. (1996). The power of randomization tests for single-case phase designs. The Journal of Experimental Education, 64 (3), 231-239.
10. Ferron, J., and Sentovich, C. (2002). Statistical power of randomization tests used with multiple-baseline designs. The Journal of Experimental Education, 70 (2), 165, 178.
11. Franklin, R. D., Allison, D. B., and Gorman, B. S. (1996). Design and analysis of single-case research. Mahwah, NJ: Lawrence Erlbaum Associates Inc.
12. Gedo, P. M. (1999). Single case studies in psychotherapy research. Psychoanalytic Psychology, 16 (2), 274-280.
13. Goldfried, M. R., and Wolfe, B. E. (1998). Toward a more clinically valid approach to therapy research. Journal of Consulting and Clinical Psychology, 66(1), 143-150.
14. Gottman, J. M. (1981). Time-series analysis: A comprehensive introduction for social scientists. Cambridge, UK: Cambridge University Press.
15. Hilliard, R. B. (1993). Single-case methodology in psychotherapy process and outcome research. Journal of Consulting and Clinical Psychology, 61 (3), 373-380.
16. Huitema, B. E., and McKean, J. W. (2000). A simple and powerful test for autocorrelated errors in OLS intervention models. Psychological Reports, 87.3-20.
17. Huitema, B. E., and McKean, J. W. (1991). Auto-correlation estimation and inference with small samples. Psychological Bulletin, 110 (2), 291-304.
18. Knuth, D. E. (1981). The art of computer programming: Vol. 2. Semi-numerical algorithms (2nd ed.). Reading, MA: Addison-Wesley.
19. Lowman, R. L. (2001). Constructing a literature from case studies: Promise and limitations of the method. Consulting Psychology Journal: Practice and Research, 53 (2). 119-123.
20. Marten, P. A., and Heimberg, R. G. (1995). Toward an integration of independent practice and clinical research. Professional Psychology: Research and Practice, 26 (1), 48-53.
21. Matyas, T. A., and Greenwood, K. M. (1990). Visual analysis of single-case time-series: Effects of variability, serial dependence, and magnitude of intervention effects. Journal of Applied Behavior Analysis, 23, 341-351.
22. McKelvie, P., and Low, J. (2002). Listening to Mozart does not improve children's spatial ability: Final curtains for the Mozart effect. British Journal of Developmental Psychology, 20 (2), 241-258.
23. McKnight, S. D., McKean, J. W., and Huitema, B. E. (2000). A double bootstrap method to analyze linear models with auto-regressive error terms. Psychological Methods, 5(1),87-101.
24. Mostert, M. P. (2001). Facilitated communication since 1995: A review of published studies. Journal of Autism & Developmental Disorders, 31 (3), 287-313.
25. Nugent, W. R. (2000). Single case design visual analysis procedures for use in practice evaluation. Journal of Social Service Research, 27(2), 39-75.
26. Ostrom, C. W. (1991). Time series analysis: Regression techniques, second edition. Series: Quantitative applications in the social sciences. Series Editor: Michael S. Lewis-Beck. Sage Publications, Inc.
27. Rosa, L., Rosa, E., Sarner, L., and Barrett, S. (1998). A close look at therapeutic touch. Journal of the American Medical Association, 279 (13), 1005-1010.
28. Schwartz, R. M. (1997). Consider the simple screw: Cognitive science, quality improvement, and psychotherapy. Journal of Consulting and Clinical Psychology, 65 (6), 970-983.
29. Scruggs, T. E., Mastropieri, M. A., and Casto, G. (1987). The quantitative synthesis of single subject research: Methodology and validation. Remedial and Special Education, 8 (2), 24-33.