Data analysis with small samples and non-normal data: nonparametrics and other strategies
(Book)
"In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique in these situations." -- Publisher's description
Notes
Siebert, C. F., & Siebert, D. C. (2018). Data analysis with small samples and non-normal data: nonparametrics and other strategies. New York, Oxford University Press.
Chicago / Turabian - Author Date Citation (style guide)Siebert, Carl F. and Darcy Clay, Siebert. 2018. Data Analysis With Small Samples and Non-normal Data: Nonparametrics and Other Strategies. New York, Oxford University Press.
Chicago / Turabian - Humanities Citation (style guide)Siebert, Carl F. and Darcy Clay, Siebert, Data Analysis With Small Samples and Non-normal Data: Nonparametrics and Other Strategies. New York, Oxford University Press, 2018.
MLA Citation (style guide)Siebert, Carl F., and Darcy Clay Siebert. Data Analysis With Small Samples and Non-normal Data: Nonparametrics and Other Strategies. New York, Oxford University Press, 2018.
Record Information
Last Sierra Extract Time | Apr 16, 2024 12:25:05 PM |
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Last File Modification Time | Apr 16, 2024 12:25:13 PM |
Last Grouped Work Modification Time | Apr 16, 2024 12:25:12 PM |
MARC Record
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100 | 1 | |a Siebert, Carl F.,|e author. | |
245 | 1 | 0 | |a Data analysis with small samples and non-normal data :|b nonparametrics and other strategies /|c Carl F. Siebert, Darcy Clay Siebert. |
264 | 1 | |a New York :|b Oxford University Press,|c [2018] | |
300 | |a ix, 223 pages :|b illustrations ;|c 21 cm. | ||
336 | |a text|b txt|2 rdacontent | ||
337 | |a unmediated|b n|2 rdamedia | ||
338 | |a volume|b nc|2 rdacarrier | ||
490 | 1 | |a Pocket guides to social work research methods | |
504 | |a Includes bibliographical references (pages 213-218) and index. | ||
505 | 0 | |a Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index. | |
520 | |a "In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique in these situations." -- Publisher's description | ||
650 | 0 | |a Nonparametric statistics. | |
650 | 6 | |a Statistique non paramétrique.|0 (CaQQLa)201-0051628 | |
650 | 7 | |a Nonparametric statistics.|2 fast|0 (OCoLC)fst01038853 | |
650 | 7 | |a Nichtparametrische Statistik|2 gnd|0 (DE-588)4226777-8 | |
650 | 7 | |a Sozialwissenschaften|2 gnd|0 (DE-588)4055916-6 | |
700 | 1 | |a Siebert, Darcy Clay,|e author. | |
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830 | 0 | |a Pocket guides to social work research methods. | |
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