Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.

Confidence intervals and measures of effect size are gradually becoming the standard way of reporting the results of statistical analyses in research articles, used instead of or in addition to p values. However, this shift in research practices barely affected teaching practices up to now. This pap...

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Autor principal:	Dominic Beaulieu-Prévost
Formato:	article
Lenguaje:	EN ES
Publicado:	Universidad de San Buenaventura 2010
Materias:	Confidence intervals interval statistics guidelines graphic representation national surveys Bayesian approach Psychology BF1-990
Acceso en línea:	https://doaj.org/article/49e3ec692e0f49dd8434dca2ef0ba35a
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spelling	oai:doaj.org-article:49e3ec692e0f49dd8434dca2ef0ba35a2021-11-25T02:24:05ZGaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.10.21500/20112084.8412011-20842011-7922https://doaj.org/article/49e3ec692e0f49dd8434dca2ef0ba35a2010-06-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/841https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922Confidence intervals and measures of effect size are gradually becoming the standard way of reporting the results of statistical analyses in research articles, used instead of or in addition to p values. However, this shift in research practices barely affected teaching practices up to now. This paper is the third of a series written to serve as a general reference on the use of confidence intervals in quantitative social sciences. Its purpose is to provide guidelines, advices and useful tricks of the trade that will allow readers (a) to face most of the statistical problems emerging in real-life research settings and (b) to improve their understanding of confidence intervals and answer more efficiently their questions of interest. The first part of the article briefly introduces the basic elements of an approach based on confidence intervals: Calculations, interpretation, and hypothesis testing. The second part is an attempt to present some of the most important (but sometimes neglected) advanced issues concerning confidence intervals: Graphic representations, complex distributions, national surveys, the larger family of interval statistics (e.g., prediction intervals), and the Bayesian approach to probabilities.Dominic Beaulieu-PrévostUniversidad de San BuenaventuraarticleConfidence intervalsinterval statisticsguidelinesgraphic representationnational surveysBayesian approachPsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 1 (2010)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	Confidence intervals interval statistics guidelines graphic representation national surveys Bayesian approach Psychology BF1-990
spellingShingle	Confidence intervals interval statistics guidelines graphic representation national surveys Bayesian approach Psychology BF1-990 Dominic Beaulieu-Prévost Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
description	Confidence intervals and measures of effect size are gradually becoming the standard way of reporting the results of statistical analyses in research articles, used instead of or in addition to p values. However, this shift in research practices barely affected teaching practices up to now. This paper is the third of a series written to serve as a general reference on the use of confidence intervals in quantitative social sciences. Its purpose is to provide guidelines, advices and useful tricks of the trade that will allow readers (a) to face most of the statistical problems emerging in real-life research settings and (b) to improve their understanding of confidence intervals and answer more efficiently their questions of interest. The first part of the article briefly introduces the basic elements of an approach based on confidence intervals: Calculations, interpretation, and hypothesis testing. The second part is an attempt to present some of the most important (but sometimes neglected) advanced issues concerning confidence intervals: Graphic representations, complex distributions, national surveys, the larger family of interval statistics (e.g., prediction intervals), and the Bayesian approach to probabilities.
format	article
author	Dominic Beaulieu-Prévost
author_facet	Dominic Beaulieu-Prévost
author_sort	Dominic Beaulieu-Prévost
title	Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
title_short	Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
title_full	Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
title_fullStr	Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
title_full_unstemmed	Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
title_sort	gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.
publisher	Universidad de San Buenaventura
publishDate	2010
url	https://doaj.org/article/49e3ec692e0f49dd8434dca2ef0ba35a
work_keys_str_mv	AT dominicbeaulieuprevost gainingconfidencewithintervalspracticalguidelinesadvicesandtricksofthetradetofacereallifesituations
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Gaining confidence with intervals: practical guidelines, advices and tricks of the trade to face real-life situations.

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