- The Doctoral Journey, with Dr. Amanda J. Rockinson-Szapkiw, a tremendous video collection of resources focusing on quantitative research methods in dissertation development. Especially valuable:
- Ten Simple Rules for Effective Statistical Practice
An article by Kass, Caffo, Davidian, Meng, Yu, & Reid (2016) published in the Public Library of Science - Statistical Methods in Theses: Guidelines and Explanations (2018), by Naseem Al-Aidroos, et. al, from the University of Guelph (Canada) Department of Psychology
- Guidelines for Reporting Quantitative Methods and Results in Primary Research
An overview by John M. Norris, Luke Plonsky, Steven J. Ross, and Rob Schoonend published in the journal Language Learning - Quantitative Methods in the Social Sciences (QMSS) E-Lessons–Overview
Carefully-organized online training guide from Columbia University - Dissertation Data: Primary or Secondary? by Dr. Mathieu Despard, from the Joint Programs in Social Work at the University of North Carolina
- Introduction to Statistics: What are they, and How do I Know Which Ones to Choose? (video)
This tutorial provides an overview of statistical analyses in the social sciences. It distinguishes between descriptive and inferential statistics, discusses factors for choosing an analysis procedure, and identifies the difference between parametric and nonparametric procedures. Additional video resources from Dr. Amanda J. Rockinson-Szapkiw are strongly recommended from her Youtube channel, The DoctoralJourney.com - Intro to Statistics: Making Decisions based on Data
A free online course from Udacity - Statsoft: Online Textbook of Quantitative Methods
A reference standard for complete overview of statistical methods and applications - HyperStat Online Statistics Textbook, by David Lane
Another reference standard with clear, well organized and brief lessons - WISE: Web Interface for Statistics Education
An award-winning site containing interactive tutorials, videos, and applets teaching the full range of statistics research
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