Small sample size solutions a guide for applied researchers and practitioners / edited by Rens van de Schoot and Milica Mio cevic.
| Format | Electronic |
| Publication Info | Abingdon, Oxon ; New York, NY : Routledge, an imprint of the Taylor & Francis Group, an informa business, [2020] |
| Description | 1 online resource (284 pages) |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Introduction (Van de Schootand Mio cevi c) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Mio cevi c, 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 (Mio cevi c, 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 (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand 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(Hoxand 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 (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Terms of use | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International CC BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode |
| Source of description | Description based on online resource; title from PDF title page (viewed on 06/25/2020) |
| Issued in other form | Print version: Small sample size solutions : a guide for applied researchers and practitioners. Abingdon, Oxon ; New York, NY : Routledge, an imprint of the Taylor & Francis Group, an informa business, [2020] 9780367221898 9780367222222 |
| Genre/form | Electronic books. |
| LCCN | 2020394788 |
| ISBN | 9780429273872 (pdf) |
| ISBN | (hc) |
| ISBN | (pb) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |