Small sample size solutions : a guide for applied researchers and practitioners /: a guide for applied researchers and practitioners. (2020)

• Record Type: Book
• Further Information: Note: Edited by Rens van de Schoot, Milica Miocevic.
• Editors: Schoot, Rens van de; Miocevic, Milica
• Contents: Introduction (Van de Schoot and Miočević) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics (Miočević, Levy, and van de Schoot) 2. The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets (Miočević, Levy, and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics (van de Schoot, Veen, Smeets, Winter, and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veen and Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) Part II: n=1 6. One by one: the design and analysis of replicated randomized single-case experiments (Onghena) 7. Single-case experimental designs in clinical intervention research (Maric and van der Werff) 8. How to improve the estimation of a specific examinee's (n =1) math ability when test data are limited (Lek and Arts) 9. Combining evidence over multiple individual analyses (Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes (Kavelaars) Part III: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (Vanbrabant and Rosseel) 12. Testing replication with small samples: applications to ANOVA (Zondervan-Zwijnenburg and Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research (Rioux, Stickley, Odejimi, and Little) 15. Small samples in multilevel modeling (Hox and McNeish) 16. Small sample solutions for structural equation modeling (Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smid and Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked (Hox) Index
• Edition: 1st
• Publisher Details: London : Routledge
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 519.52; Mathematical statistics; Sampling (Statistics)
• Languages: English
• ISBNs: 9781000761085; 9781000760941; 9781000761016; 9780429273872
• Related ISBNs: 9780367221898; 9780367222222
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.