Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity
Gespeichert in:
Deutscher übersetzter Titel: | Datenanalysen bei kleinen Stichproben : aktuelle Fortschritte im Umgang mit Ausreißern, schiefen Verteilungen und Heteroskedastizität |
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Autor: | Wilcox, Rand; Peterson, Travis J.; McNitt-Gray, Jill L. |
Erschienen in: | Journal of applied biomechanics |
Veröffentlicht: | 34 (2018), 4, S. 258-261, Lit. |
Format: | Literatur (SPOLIT) |
Publikationstyp: | Zeitschriftenartikel |
Medienart: | Elektronische Ressource (online) Gedruckte Ressource |
Sprache: | Englisch |
ISSN: | 1065-8483, 1543-2688 |
DOI: | 10.1123/jab.2017-0269 |
Schlagworte: | |
Online Zugang: | |
Erfassungsnummer: | PU201905003353 |
Quelle: | BISp |
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PU201905003353 |
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Literatur |
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2019-06-26T15:47:28Z |
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Zeitschriftenartikel |
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JO00000000713 |
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Journal of applied biomechanics |
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Journal of applied biomechanics, 2018, 4 |
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PU201905003353 |
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Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity |
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0258 |
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bisparticle |
publishDate |
2018 |
publishDate_facet |
2018 |
language |
eng |
title |
Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity |
spellingShingle |
Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity Analyse, biomechanische Analyse, statistische Biomechanik Datenanalyse Datenauswertung Forschung, empirische Methodik Statistik |
title_sort |
data analyses when sample sizes are small modern advances for dealing with outliers skewed distributions and heteroscedasticity |
title_short |
Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity |
title_alt |
Datenanalysen bei kleinen Stichproben : aktuelle Fortschritte im Umgang mit Ausreißern, schiefen Verteilungen und Heteroskedastizität |
title_alt_lang |
deu |
media_type |
Elektronische Ressource (online) Gedruckte Ressource |
city |
Champaign |
abstract |
The paper reviews advances and insights relevant to comparing groups when the sample sizes are small. There are conditions under which conventional, routinely used techniques are satisfactory. But major insights regarding outliers, skewed distributions, and unequal variances (heteroscedasticity) make it clear that under general conditions they provide poor control over the type I error probability and can have relatively poor power. In practical terms, important differences among groups can be missed and poorly characterized. Many new and improved methods have been derived that are aimed at dealing with the shortcomings of classic methods. To provide a conceptual basis for understanding the practical importance of modern methods, the paper reviews some modern insights related to why methods based on means can perform poorly. Then some strategies for dealing with nonnormal distributions and unequal variances are described. For brevity, the focus is on comparing 2 independent groups or 2 dependent groups based on the usual difference scores. The paper concludes with comments on issues to consider when choosing from among the methods reviewed in the paper. |
abstract_lang |
eng |
abstract_type |
author |
author2 |
Wilcox, Rand Peterson, Travis J. McNitt-Gray, Jill L. |
author_facet |
Wilcox, Rand Peterson, Travis J. McNitt-Gray, Jill L. |
author2-role |
Autor Autor Autor |
author2-authorityid |
P378618 |
author_author_facet |
Wilcox, Rand Peterson, Travis J. McNitt-Gray, Jill L. |
author2-synonym |
|
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0/Autor/ 1/Autor/Wilcox, Rand/ 0/Autor/ 1/Autor/Peterson, Travis J./ 0/Autor/ 1/Autor/McNitt-Gray, Jill L./ |
doi |
10.1123/jab.2017-0269 |
spelling |
10.1123/jab.2017-0269 1065-8483 1543-2688 1145288-2 Analyse, biomechanische Analyse, statistische Biomechanik Datenanalyse Datenauswertung Forschung, empirische Methodik Statistik biomechanical analysis biomechanics data analysis data evaluation empirical research methodology statistical analysis statistics Bewegung, physikalische Merkmal, biomechanisches Biokinematik Prinzip, biomechanisches Aufbereitung, statistische Datenverarbeitung Analyse, methodische Auswertung, statistische Beschreibung, statistische Daten, statistische Methode, statistische Schätzung, statistische Schätzungsverfahren, statistisches Schätzverfahren Sekundäranalyse Untersuchung, statistische Methodik, allgemeine Verfahren Aufzeichnung, biomechanische Untersuchung, biomechanische methods Data analyses when sample sizes are small : modern advances for dealing with outliers, skewed distributions, and heteroscedasticity PU201905003353 201905003353 |
url |
https://journals.humankinetics.com/doi/abs/10.1123/jab.2017-0269 https://dx.doi.org/10.1123/jab.2017-0269 |
url-type |
fulltext fulltext |
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0 0 |
issn |
1065-8483 1543-2688 |
zdb |
1145288-2 |
location_hierarchy_facet |
0/USA/ 1/USA/Illinois/ |
topic |
Analyse, biomechanische Analyse, statistische Biomechanik Datenanalyse Datenauswertung Forschung, empirische Methodik Statistik |
topic_facet |
Analyse, biomechanische Analyse, statistische Biomechanik Datenanalyse Datenauswertung Forschung, empirische Methodik Statistik |
topic_en |
biomechanical analysis biomechanics data analysis data evaluation empirical research methodology statistical analysis statistics |
topic_en_facet |
biomechanical analysis biomechanics data analysis data evaluation empirical research methodology statistical analysis statistics |
synonym |
Bewegung, physikalische Merkmal, biomechanisches Biokinematik Prinzip, biomechanisches Aufbereitung, statistische Datenverarbeitung Analyse, methodische Auswertung, statistische Beschreibung, statistische Daten, statistische Methode, statistische Schätzung, statistische Schätzungsverfahren, statistisches Schätzverfahren Sekundäranalyse Untersuchung, statistische Methodik, allgemeine Verfahren Aufzeichnung, biomechanische Untersuchung, biomechanische |
synonym_en |
methods |
journal_facet |
Journal of applied biomechanics |
container_title |
Journal of applied biomechanics |
container_volume |
34 |
container_issue |
4 |
container_start_page |
S. 258-261 |
has_references |
1 |
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BISp |
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JO00000000713 |
journal_year |
2018 |
journal_issue |
4 |
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1810300878504067072 |
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13,265258 |