TY  - BOOK
AU  - Van de Schoot,Rens
AU  - Miočevic,Milica
TI  - Small sample size solutions: : a guide for applied researchers and practitioners
T2  - European Association of Methodology series
SN  - 9780429273872
PY  - 2020///
CY  - Abingdon, Oxon
PB  - Routledge
KW  - Research
KW  - Methodology
KW  - Sampling (Statistics)
KW  - Electronic Books
N1  - Includes bibliographical references and index; Part I. Bayesian solutions; Introduction to Bayesian statistics; The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets; A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics; The importance of collaboration in Bayesian analyses with small samples; A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes; Part II. n = 1 85; One by one : the design and analysis of replicated randomized single-case experiments; Single-case experimental designs in clinical intervention research; How to improve the estimation of a specific examinee’s (n ¼ 1) math ability when test data are limited; Combining evidence over multiple individual analyses; Going multivariate in clinical trial studies : a Bayesian framework for multiple binary outcomes; Part III. Complex hypotheses and models; An introduction to restriktor : evaluating informative hypotheses for linear models; Testing replication with small samples: applications to ANOVA; Small sample meta-analyses : exploring heterogeneity using MetaForest; Item parcels as indicators : why, when, and how to use them in small sample research; Small samples in multilevel modeling; Small sample solutions for structural equation modeling; SEM with small samples : two-step modeling and factor score regression versus Bayesian estimation with informative priors; Important yet unheeded : some small sample issues that are often overlooked
UR  - https://doi.org/10.4324/9780429273872
ER  -