https://webpower.psychstat.org/wiki/ 2026-04-16T08:05:40-0400 https://webpower.psychstat.org/wiki/ https://webpower.psychstat.org/wiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/100_000_power_analysis_on_webpower?rev=1726763099&do=diff 100,000 power analyses on WebPower WebPower has exceeded 100,000 power analyses today. Thank you for using WebPower. text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/new_app_to_conduct_power_analysis_by_drawing_path_diagrams?rev=1726763099&do=diff New app to conduct power analysis by drawing path diagrams To try it out: <http://webpower.psychstat.org/models/diagram/> A brief intro is here: <http://webpower.psychstat.org/wiki/manual/diagram_based_power_analysis> text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/new_apps_for_power_analysis_for_structural_equation_modeling?rev=1726763099&do=diff New Apps for Power Analysis for Structural Equation Modeling Two new apps were added to conduct power analysis and sample size planning. One is based on the RMSEA method proposed by MacCallum et al. (1996) and the other is based on Satorra & Saris (1985). text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/new_server_in_august_2014?rev=1726763099&do=diff New server in August, 2014 Thanks to the support of IES, we are able to setup a new server with 64 AMD CPU cores, 128GB memory, and 4TB storage. The new server would allow more than 100 users to conduct power analysis at the same time. If you experience any connection problem, don't hesitate to text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/qsg_by_haiyan_liu_on_statistical_power_analysis_for_logistic_regression?rev=1726763099&do=diff QSG presentation by Haiyan Liu on Statistical power analysis for logistic regression The goal of power analysis is to decide (a) how large a sample is needed to enable statistical judgments that are accurate and reliable, and (b) how likely your statistical test will be able to detect the effect of a given size in a particular situation. text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/qsg_presentation_by_miao_yang_on_statistical_power_analysis_for_multilevel_models?rev=1726763099&do=diff QSG presentation by Miao Yang on Statistical power analysis for multilevel models Statistical power analysis is an important topic in research designs. Power analysis methods for a variety of models, such as multiple regression and ANOVA, have been well developed and implemented in popular statistical software (e.g., SAS PROC POWER). The implementation of power analysis for multilevel models, however, is less common. As part of the Webpower project, we developed online software that allows rese… text/html 2024-09-19T12:24:59-0400 Anonymous (anonymous@undisclosed.example.com) https://webpower.psychstat.org/wiki/blog/symposium_on_power_analysis_for_non-normal_data_at_the_27th_aps_annual_convention_may_21-24_2015_in_new_york?rev=1726763099&do=diff Symposium on power analysis for non-normal data at the 27th APS Annual Convention, May 21-24, 2015 in New York We are going to present a symposium entitled “Methods and Software for Statistical Power Analysis with Non-normal Data,” at the 27th APS Annual Convention, May 21-24, 2015 at the New York Marriott Marquis in New York, NY, USA. More information will be provided. Hope to see you there.