Center for open science: https://cos.io/
The Open Science Framework (OSF): https://osf.io/
1.1 Reproducible research on Coursera
1.2 Related statistical tools:
1.2.1 For statistical power, effect sized and CI
G*power, a convenient tool for estimation of statistical power for varieties of tests.
Lakens, (2013) have provided a useful spreadsheet for calculating the effect size for t-test and ANOVA, you could find the file at here. He also wrote an extremely useful post about calculating CI, link.
NDC by Steiger, J.H., which could calculate the non-centrality interval estimation for the noncentral T, noncentral F, and noncentral Chi-Square distributions.
Smithson , M.J. (2003) also provides a useful SPSS script used to estimate the CI: link
Analyze the p-curve: link
1.3 R packages for psychological research
psych: personality and psychological research
mvmeta: Multivariate and Univariate Meta-Analysis and Meta-Regression
metacor: Meta-analysis of correlation coefficients
lavaan: latent variable analysis, I used it for CFA
effsize: calculate Cohen’s d and confidence intervals
lsr: Effect size calculations for ANOVAs
1.4 我关于统计检验力和效应量的博客（Below is my Chinese posts related to statistic power and effect size）