PhD is a largely a self-learning process. Below I compiled a list of resources that I find helpful in this journey or could be useful in the future. All credits are reserved for the original creators. 

Last Update: January 2023

Qualtrics, MTurk, & Others

• Web scraping with Google sheet
• Some javascripts to customize your qualtrics survey
• Real-time affective tracking
• Remove "Powered by Qualtrics" footer
• Qualtrics Mouse Tracking
• Detect participants' (online) multi-tasking
• TurkPrime​ [a free alternative is OpenMTurk]
• AsPredicted [for pre-registration]
• OpenScienceFramework [for open materials & data]

data analyses 

• Power analysis for general ANOVA designs
• Stats check online
• Multilevel Modeling in R
• Bayesian ANOVA
• within-subject mediation with repeated measurements 
• mediation with non-continuous variables [with Mplus]

Stimuli, Tasks & Measurements

• Open Affective Standardized Image Set (OASIS)
• AudioSet 
• Scales A to Z

Secondary datasets

• Google Correlate [plus some guidance]
• ​MovieLens
• Twitter posts [1] [2] [3] + Tutorials [in R] [JSON imported to R]
• World Values Survey
• The World Factbook​​
• CentER Panel 

Chinese Data

• China Family Panel Studies (CFPS)
• Baidu Crowdsourcing [sample service available; a bit clumsy survey framework]
• Tencent Survey [sample service available; mobile friendly] 
• Beijing Statistics Yearbook [authoritative comprehensive datasets; issued per year]
• Beijing City Lab [*24. Weibo check-in data]

Educational

• A visual explanation for multilevel modeling
• Seeing Theory
• Replications of marketing studies