Small Sample Size Solutions : A Guide for Applied Researchers and Practitioners
Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model n...
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| Formato: | Libro |
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Routledge
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2572608&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 2572608 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Small Sample Size Solutions : A Guide for Applied Researchers and Practitioners aug: au: Rens van de Schoot Milica Miočević sertl: European Association of Methodology Series isbn: 9780367221898 9780367222222 9780429273872 9781000760941 9781000761085 imageinfo: pubinfo: dt: @attributes: year: 2020 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 03 day: 08 pub: Routledge pubContract: Taylor & Francis (Unlimited) place: Abingdon, Oxon price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 001.42 item: 001 .42 lc: @attributes: class: Q180.55.M4 item: Q 180 .55 .M4 artinfo: ui: 2572608 1142226472 formats: fmt: @attributes: type: EB doid: NL$2572608$PDF caption: PDF download: Y tig: atl: Small Sample Size Solutions : A Guide for Applied Researchers and Practitioners ptl: Small Sample Size Solutions aug: au: Rens van de Schoot Milica Miočević su: Data sets Research--Methodology sug: subj: PSYCHOLOGY / General PSYCHOLOGY / Research & Methodology Data sets Research--Methodology ab: Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small.This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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