In the empirical example in Biesanz, Falk, and Savalei (2010), the t-statistic is 3.165 with df of 38. If you encounter any problems with the program, please report them directly to me: the program loads, the next step is to enter the t-statistic and degrees of freedom for the a path in the mediational model. The program has been tested under Windows XP, Windows 7, and OSX (Mac) version 10.7.3 (Lion). This program is computationally intensive. For some users, it may require an update/install to a new version of Java Runtime Environment: Once downloaded, double click on the file and it will open in a new window. Ĭlick on the link below to download the program. Two cross-platform programs for inferences and interval estimation about indirect effects in mediational models. Users of the p-value calculator calculator may cite:įalk, C.F., & Biesanz, J.C. The use of normal approximations in adapting the partial posterior method to structural equation models also performed well at sample sizes above 100 in a recent simulation study (Falk & Biesanz, 2015). Furthermore, the partial posterior provides a single p-value interpretable in the same way as one would interpret the p-value from Sobel’s test. The calculator may be used for making inferences about indirect effects with multiple regression models (t-distribution computational method), or structural equation or certain multilevel models (see also FAQ about multilevel models) when degree of freedom approximations are not available (normal approximation). In Biesanz et al (2010), the partial posterior approach had high power relative to traditional approaches, power on par with the modern approaches just described, and adequately controlled Type I error rates. P-values are computed by the partial posterior method - a high-power alternative to Sobel’s test. Within the program, there are two computational methods - one method where sampling distributions are based in-part on posterior (and t) distributions (appropriate for regression models), and a second method where normal approximations are used in place of posterior distributions (appropriate for larger samples or methods where such normal approximations are used, such as structural equation models). The program is intended to be easy-to-use, does not require commercial statistical software, does not require editing of SPSS or SAS syntax, and does not require the raw data.The user only needs to input information that one would normally need to obtain anyway if performing mediational analysis using traditional methods (e.g., regression coefficients, standard errors, degrees of freedom, and t-statistics). Projects may choose to have files other than their main releases available via this directory.This page provides a brief tutorial for the p-value calculator described in Falk & Biesanz (2016). Members have access to change this master repository, while anonymous users may browse the most recent development version of this project. The SCM repository is a place for this project to store its source code. This home page points to the official page for this project, which may or may not be hosted at. The icons displayed below are also available at the top of the page for easy navigation. This project has many places for you to explore and participate. PCalc is a software designed to help molecular biologists in routine procedures of concentrations calculus in PCR, like calculus of primer concentration, calculus of annealing temperature (DNA/DNA and DNA/PNA), MW primer calculation and mass units convers PCalc: Primer concentration calculator - SummaryĪll categories :: bioinformatics software development :: PCalc: Primer concentration calculator
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |