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Small Sample Size Solutions (Record no. 10663)

MARC details
000 -LEADER
fixed length control field 02342 a2200373 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250526161934.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250430042020GB 152 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367222222
Qualifying information BC
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 37.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code JMB
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Subject category code MBNS
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Subject category code PBT
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Subject category code JHBC
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072 7# - SUBJECT CATEGORY CODE
Subject category code KCH
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072 7# - SUBJECT CATEGORY CODE
Subject category code JP
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072 7# - SUBJECT CATEGORY CODE
Subject category code JMB
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code MBNS
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072 7# - SUBJECT CATEGORY CODE
Subject category code PBT
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code JHBC
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072 7# - SUBJECT CATEGORY CODE
Subject category code KCH
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072 7# - SUBJECT CATEGORY CODE
Subject category code JP
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Subject category code PSY000000
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Subject category code PSY030000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 001.42
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rens van de Schoot
9 (RLIN) 1093
245 10 - TITLE STATEMENT
Title Small Sample Size Solutions
Remainder of title A Guide for Applied Researchers and Practitioners
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxford
Name of publisher, distributor, etc. Routledge
Date of publication, distribution, etc. 20200225
300 ## - PHYSICAL DESCRIPTION
Extent 270 p
520 ## - SUMMARY, ETC.
Expansion of summary note 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.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Milica Miočević
Relationship B01
9 (RLIN) 1094

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