GPOWER: A general power analysis program
Reads0
Chats0
TLDR
GPOWER performs high-precision statistical power analyses for the most common statistical tests in behavioral research, that is,t tests,F tests, andχ2 tests.Abstract:
GPOWER is a completely interactive, menu-driven program for IBM-compatible and Apple Macintosh personal computers. It performs high-precision statistical power analyses for the most common statistical tests in behavioral research, that is,t tests,F tests, andχ2 tests. GPOWER computes (1) power values for given sample sizes, effect sizes andα levels (post hoc power analyses); (2) sample sizes for given effect sizes,α levels, and power values (a priori power analyses); and (3)α andβ values for given sample sizes, effect sizes, andβ/α ratios (compromise power analyses). The program may be used to display graphically the relation between any two of the relevant variables, and it offers the opportunity to compute the effect size measures from basic parameters defining the alternative hypothesis. This article delineates reasons for the development of GPOWER and describes the program’s capabilities and handling.read more
Citations
More filters
Journal ArticleDOI
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
Journal ArticleDOI
Pituitary-Adrenal and Autonomic Responses to Stress in Women After Sexual and Physical Abuse in Childhood
Christine Heim,Donald Jeffrey Newport,Stacey Heit,Yolanda P. Graham,Molly M. Wilcox,Robert W. Bonsall,Andrew H. Miller,Charles B. Nemeroff +7 more
TL;DR: The findings suggest that hypothalamic-pituitary-adrenal axis and autonomic nervous system hyperreactivity, presumably due to CRF hypersecretion, is a persistent consequence of childhood abuse that may contribute to the diathesis for adulthood psychopathological conditions.
Journal ArticleDOI
A Typology of Mixed Methods Sampling Designs in Social Science Research
TL;DR: This paper provides a framework for developing sampling designs in mixed methods research and presents sampling schemes that have been associated with quantitative and qualitative research, and provides a sampling design typology.
Journal ArticleDOI
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium
T.G.M. van Erp,Derrek P. Hibar,Jerod M. Rasmussen,David C. Glahn,Godfrey D. Pearlson,Ole A. Andreassen,Ingrid Agartz,Ingrid Agartz,Lars T. Westlye,Lars T. Westlye,Unn K. Haukvik,Anders M. Dale,Ingrid Melle,Cecilie B. Hartberg,Oliver Gruber,Bernd Kraemer,David Zilles,Gary Donohoe,Gary Donohoe,Sinead Kelly,Sinead Kelly,Colm McDonald,Derek W. Morris,Derek W. Morris,Dara M. Cannon,Aiden Corvin,Marise W. J. Machielsen,Laura Koenders,L. de Haan,Dick J. Veltman,Theodore D. Satterthwaite,Daniel H. Wolf,R.C. Gur,R.E. Gur,Steven G. Potkin,Daniel H. Mathalon,Daniel H. Mathalon,Bryon A. Mueller,Adrian Preda,Fabio Macciardi,Stefan Ehrlich,Stefan Ehrlich,Esther Walton,Johanna Hass,Vince D. Calhoun,HJ Bockholt,Scott R. Sponheim,Jody M. Shoemaker,N.E.M. van Haren,Hilleke E. Hulshoff Pol,Roel A. Ophoff,Roel A. Ophoff,René S. Kahn,Roberto Roiz-Santiañez,Benedicto Crespo-Facorro,Lei Wang,Kathryn I. Alpert,Erik G. Jönsson,Erik G. Jönsson,Rali Dimitrova,Catherine Bois,Heather C. Whalley,Andrew M. McIntosh,Stephen M. Lawrie,Ryota Hashimoto,Paul M. Thompson,Jessica A. Turner +66 more
TL;DR: Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches, and validates that collaborative data analyses can readily be used across brain phenotypes and disorders.
Journal ArticleDOI
Is It Really Robust
TL;DR: In this article, Monte Carlo methods are used to demonstrate the robustness of the analysis of variance (ANOVA) concerning violation of the normality assumption. But, the authors do not consider the effect sizes of the samples.
References
More filters
Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Book
Applied multiple regression/correlation analysis for the behavioral sciences
TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
Book
Numerical Recipes in C: The Art of Scientific Computing
TL;DR: Numerical Recipes: The Art of Scientific Computing as discussed by the authors is a complete text and reference book on scientific computing with over 100 new routines (now well over 300 in all), plus upgraded versions of many of the original routines, with many new topics presented at the same accessible level.