Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, Second Ediction
By Kevin J. Murphy, B. Myors. 2004
658 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Education, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/3dd962af098021ac26adc23562c70cbb63ca2b16
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In Computer Networks and Communications
- D. Kohlhausen
- Carol Holland
- Steve Werner
- Joon Hyung Park
- JéAnna Lanza Abbott
- Matthew J. Salganik
- Kruti Shah
- B. Murray
In Education
- R. Newman
- Carol Holland
- Matthew J. Salganik
- Kruti Shah
- B. Murray
- L. Popova
- René Weber
- Martin Schreier
In Management Science and Operations Research
- Carol Holland
- Steve Werner
- Matthew J. Salganik
- Kruti Shah
- B. Murray
- L. Popova
- Wei-Chi Tsai
- René Weber
Citations in the corpus
- Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006, background): “However, calculating the appropriate sample size under simple random sampling is often difficult due to the overly general nature of the power analysis literature.(20,21) Therefore, we will review the sample size calculations for two specific cases of most interest to researchers using respondent-dr”
- Testing Equivalence in Communication Research: Theory and Application (2012, methodology): “Klemmert’s (2004) balanced strategy mirrors the strategy proposed by Murphy et al. (2009), who suggest using half of the variance accounted for in meta-analyses as a minimum substantial effect.”
- Differential moderating effect of locus of control on effect of driving experience in young male and female drivers (2010, methodology): “…for each of the driving styles and demographic variables are given in Table 1 Table 1 about here Two way ANOVAs were conducted to examine gender and LOC differences in driving styles, with partial ŋ2 used to give effect size, (0.01 =small effect, > 0.15 = large effect, Murphy & Myors, 2004).”
- The value increment of mass-customized products: An empirical assessment (2006, positive): “Thus, we were able to support the assertion that our measurement of the value increment is not in danger of inducing a 'straw man' effect (which in this case would imply consciously selecting 'ugly' objects of comparison to 'produce' large differences, cf. Murphy & Myors, 1998).”
- How Students and Teachers View the Seriousness of Peer Harassment: When Is It Appropriate to Seek Help? (2005, methodology): “According to power analysis (Murphy & Myors, 1998), there was adequate power to detect main effects.”
- Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind (2010, methodology): “The desired preset Type I error can be computed as follows (Murphy & Myors, 1998): adesired ¼ pðH1Þb 1 pðH1Þ 1 DRS ð1Þ where p (H1) is the estimated probability that the alternative hypothesis is true (i.e., there is a moderating effect), b is the Type II error rate, and DRS is a judgment of the…”
- The Power of the Test for Treatment Effects in Three-Level Cluster Randomized Designs (2008, background): “There is an extensive literature on the computation of statistical power (eg, Cohen, 1988 ; Lipsey, 1990 ; Murphy & Myors, 2004 ).”
- Increases in phonotactic probability facilitate spoken nonword repetition. (2005, background): “Vitevitch, P.A. Luce / Journal of Memory and Language 52 (2005) 193–204 dent variable ( Murphy & Myors, 1998 ).”