Small Sample Size Solutions
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 mode...
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| Հիմնական հեղինակներ: | , |
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| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
Taylor & Francis
2021
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| Խորագրեր: | |
| Առցանց հասանելիություն: | 1007799 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869515743962333184 |
|---|---|
| author | van de Schoot, Rens Miocević, Milica |
| author_browse | Miocević, Milica van de Schoot, Rens |
| author_facet | van de Schoot, Rens Miocević, Milica |
| author_sort | van de Schoot, Rens |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-30625 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-306252025-07-30T10:21:42Z Small Sample Size Solutions van de Schoot, Rens Miocević, Milica statistical methods researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology 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. 2021-02-10T13:43:29Z 2021-02-10T13:43:29Z 2020-03-03 12:23:38 2020-04-01T06:49:48Z 2020 book 1007799 1007799 OCN: 1142226472 http://library.oapen.org/handle/20.500.12657/22385 9780367222222; 9780429273872 https://directory.doabooks.org/handle/20.500.12854/30625 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/22385/1/9780367221898_text%20%281%29.pdf https://library.oapen.org/bitstream/20.500.12657/22385/1/9780367221898_text%20%281%29.pdf https://library.oapen.org/bitstream/20.500.12657/22385/1/9780367221898_text%20%281%29.pdf https://library.oapen.org/bitstream/20.500.12657/22385/1/9780367221898_text%20%281%29.pdf https://library.oapen.org/bitstream/20.500.12657/22385/1/9780367221898_text%20%281%29.pdf Taylor & Francis 10.4324/9780429273872 10.4324/9780429273872 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9780367222222; 9780429273872 Dutch Research Council (NWO) 284 open access |
| spellingShingle | statistical methods researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology van de Schoot, Rens Miocević, Milica Small Sample Size Solutions |
| title | Small Sample Size Solutions |
| title_full | Small Sample Size Solutions |
| title_fullStr | Small Sample Size Solutions |
| title_full_unstemmed | Small Sample Size Solutions |
| title_short | Small Sample Size Solutions |
| title_sort | small sample size solutions |
| topic | statistical methods researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology |
| topic_facet | statistical methods researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology |
| url | 1007799 |
| work_keys_str_mv | AT vandeschootrens smallsamplesizesolutions AT miocevicmilica smallsamplesizesolutions |