Bayesian Statistics for the Social Sciences

By D. Kaplan. 2014

152 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1d56b55e6a34e94d08f9809a028823bf4bc89942

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. E. S. Kim
2. Yan Wang
3. Diep T. Nguyen
4. Chunhua Cao
5. Herman Aguinis

Citations in the corpus

• Improving Transparency and Replication in Bayesian Statistics: The WAMBS-Checklist (2017, unknown): “…novice reader to, among many others: Bolstad (2007); Carlin and Louis (2009); Christensen, Johnson, Branscum, and Hanson (2010); Depaoli and Boyajian, (2014); Gelman and Hill (2007); Kaplan, 2014; Kruschke (2010); Jackman (2009); Lynch (2007); Ntzoufras (2009); or van de Schoot and Depaoli (2014).”
• Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches (2017, background): “In the Bayesian approach, parameters (e.g., mean) are considered random, and uncertainty is incorporated in parameter estimation (Kaplan, 2014).”