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Small sample size solutions : a guide for applied researchers and practitioners (Loan 1 times)

Material type

단행본

Personal Author

Schoot, Rens van de. Miočevic, Milica.

Title Statement

Small sample size solutions : a guide for applied researchers and practitioners / edited by Rens van de Schoot and Milica Miočevic.

Publication, Distribution, etc

Abingdon, Oxon : Routledge, 2020.

Physical Medium

xiv, 269 p. : ill. (chiefly col.) ; 24 cm.

Series Statement

European association of methodology series

ISBN

9780367221898 (hbk.) 9780367222222 (pbk.)

Bibliography, Etc. Note

Includes bibliographical references and index.

Subject Added Entry-Topical Term

Research --Methodology. Data sets.

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001		000046076353
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008		210405s2020 enka b 001 0 eng d
020		▼a 9780367221898 (hbk.)
020		▼a 9780367222222 (pbk.)
040		▼a 211009 ▼c 211009 ▼d 211009
082	0 0	▼a 001.4/2 ▼2 23
084		▼a 001.42 ▼2 DDCK
090		▼a 001.42 ▼b S635
245	0 0	▼a Small sample size solutions : ▼b a guide for applied researchers and practitioners / ▼c edited by Rens van de Schoot and Milica Miočevic.
260		▼a Abingdon, Oxon : ▼b Routledge, ▼c 2020.
300		▼a xiv, 269 p. : ▼b ill. (chiefly col.) ; ▼c 24 cm.
490	1	▼a European association of methodology series
504		▼a Includes bibliographical references and index.
650	0	▼a Research ▼x Methodology.
650	0	▼a Data sets.
700	1	▼a Schoot, Rens van de.
700	1	▼a Miočevic, Milica.
830	0	▼a European association of methodology series.
945		▼a KLPA

Holdings Information

Main Library

No.	Location	Call Number	Accession No.	Availability	Due Date	Make a Reservation	Service
No. 1	Location Main Library/Western Books/	Call Number 001.42 S635	Accession No. 111846790	Availability In loan	Due Date 2023-04-20	Make a Reservation Available for Reserve R	Service M

Contents information

ntroduction (Van de Schoot and Miocevic)


List of Symbols





Part I: Bayesian solutions


1. Introduction to Bayesian statistics (Miocevic, 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 (Miocevic, 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

Open