Confidence Intervals for Effect Sizes in Analysis of Variance

By K. Bird. 2002

84 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1423ddb815f172e389fd70b682ee3f525bdd3353

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Effect size measures for mediation models: quantitative strategies for communicating indirect effects. (2011, unknown): “…confidence intervals for effect sizes because the real interest lies not in the estimated value but in the population value (Balluerka, Gómez, & Hidalgo, 2005; Bird, 2002; Cumming & Finch, 2001; Fidler & Thompson, 2001; Henson, 2006; Kelley, 2007a; Kirk, 1996; Smithson, 2001; Thompson, 2002, 2007).”
Approximate Confidence Intervals for Standardized Effect Sizes in the Two-Independent and Two-Dependent Samples Design (2007, methodology): “A similar approach was also discussed by Bird (2002). However, after dividing Equation 1 by sp, we obtain d2 ? i(n?+nc_2)?i_a/2\/l/w.”
Giving Memory a Hand: Instructing Children to Gesture Enhances their Event Recall (2005, background): “In addition to hypothesis tests, 95% standardized confidence interval (CI) limits were established (Bird, 2002).”
A confidence interval approach to data analysis (2004, methodology): “Bird (2002) used confidence intervals around raw and standardised effects of planned contrasts for designs including multi-way fixed factor, random factor, mixed model, nested and repeated measures.”
A Framework for Reporting and Interpreting Internal Consistency Reliability Estimates (2002, methodology): “…applications within counseling research, we recommended that the researcher construct traditional "two-sided" confidence intervals (e.g., Bird, 2002; Chandler, 1957; Cumming & Finch, 2001; Fleishman, 1980; Steiger & Fouladi, 1992, 1997; Thompson, 2002) when interpreting obtained point…”
What Future Quantitative Social Science Research Could Look Like: Confidence Intervals for Effect Sizes (2002, methodology): “, SPSS) may be programmed to provide these so-called “iterative” estimates (Bird, 2002; Smithson, 2001).”
Peripheral detection as a workload measure in driving: Effects of traffic complexity and route guidance system use in a driving study (2005, methodology): “… turning right = after turn turning left) was confirmed by a within-subjects contrast analysis of mean response times (with contrast weights À3, À1, 1, 1, 2, respectively), F (1, 17) = 42.98, p .0001, the standardized contrast value (e.g., Bird, 2002) was 0.75 with a 95% CI of [0.509, 0.992].”
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research (2006, background): “One relatively new emphasis has been on using CIs for effect sizes (see, e.g., Bird, 2002; Cumming & Finch, 2001; Smithson, 2001; Thompson, 2002).”
A Communication Researchers' Guide to Null Hypothesis Significance Testing and Alternatives. (2008, methodology): “Finally, somewhat complex procedures are required for determining the confidence intervals for noncentral test distributions of t and F (e.g., for Cohen’s d, r, or h2) when the assumption of the nil–null hypothesis is not reasonable (Cumming & Finch, 2001; Smithson, 2001).”
Inference by eye: confidence intervals and how to read pictures of data. (2005, background): “…CIs requiring noncentral distributions; Cumming and Finch (2001) for the standardized effect size measure known as Cohen's d; Fidler and Thompson (2001), Bird (2002), and Steiger (2004) for some analysis of variance effect sizes; and Smithson (2001) for some regression effect sizes and parameters.”
Approximate Confidence Intervals for Effect Sizes (2003, methodology): “For the case of two independent groups, the approximate interval used in Bird (2002) is”