Using statistical power analysis to tune-up a research experiment: A case study

IEEE International Professional Communication Conference

Volumn , Issue , 2004, Pages 14-18

  Evans, Mary B ^a   Wei, Carolyn ^a   Spyridakis, Jan H ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Research tools; Statistical power analysis; Usability

Indexed keywords

EFFECT SIZE CONCEPTS; RESEARCH TOOLS; STATISTICAL POWER ANALYSIS; USABILITY;

BEHAVIORAL RESEARCH; DATA STRUCTURES; ERROR ANALYSIS; PRODUCT DESIGN; RESEARCH AND DEVELOPMENT MANAGEMENT; WEBSITES; WORD PROCESSING;

STATISTICAL METHODS;

EID: 10444231906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Krull, R. "What practitioners need to know to evaluate research." IEEE Transactions on Professional Communication. 40(3):168-181, 1997.
2. rd ed,. Prentice-Hall, Upper Saddle River, New Jersey, 2003.
3. Cohen, J. "A power primer." Psychological Bulletin. 112(1):155-159, 1992.
4. Cohen, J., Statistical Power Analysis for the Behavioral Sciences, Erlbaum, Hillsdale, New Jersey, 1988.
5. Murray, L. W., and D. A. Dosser, Jr., "How significant is a significant difference? Problems with the measurement of magnitude of effect." Journal of Counseling Psychology 34(1):68-72, 1987.
6. Levene, T. R., and C. R. Hullett, "Eta squared, partial eta squared, and misreporting of effect size in communication research," Human Communication Research. 28(4):612-625, 2000.
7. Chinese University of Hong Kong. Statistics toolbox. [Online document] [Cited April 10, 2004] Available http://department.obg.cuhk.edu.hk/ResearchSupport/Saniple_size_CompMean.asp.
8. Sokal, R. R. and F. J. Rohlf, Biometry: the Principles and Practice of Statistics in Biological Research, W. H. Freeman, San Francisco, 1981.