Statistiques Et Traitement De Donn Es Quantitatives En Ducation
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Statistiques Et Traitement De Donn Es Quantitatives En Ducation
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Author : Michel Larini
language : fr
Publisher: ISTE Group
Release Date : 2018-05-01
Statistiques Et Traitement De Donn Es Quantitatives En Ducation written by Michel Larini and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-01 with Education categories.
Cet ouvrage présente différentes techniques de collecte et de représentation des données : la statistique descriptive élémentaire, la statistique confirmatoire, les approches multivariées et la modélisation statistique. Il expose la possibilité de donner plus de robustesse aux méthodologies classiques des sciences de l’éducation en y adjoignant une démarche quantitative. Les fondements de chacune des approches sont analysés le plus clairement possible, tout comme les raisons et la façon de les utiliser au travers d’exemples simples ou plus complexes. Ainsi, Statistiques et traitement de données quantitatives en éducation peut être utilisé comme un cours, pour les non-initiés, mais il peut aussi constituer un accompagnement pour des chercheurs déjà familiers avec ces concepts. Dédié aux étudiants, doctorants, chercheurs ou professionnels concernés par les approches quantitatives dans le domaine de l’éducation, cet ouvrage expose des méthodes couramment utilisées dans les différentes sciences humaines et sociales et développe des approches spécifiques pour l’éducation.
Introduction L Analyse De Donn Es Quantitatives
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Author : Samuel Charmillot
language : fr
Publisher:
Release Date : 2019-05-15
Introduction L Analyse De Donn Es Quantitatives written by Samuel Charmillot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with categories.
Dans ce livre, nous initions les étudiants en sciences humaines et sociales aux statistiques descriptives. Nous abordons les principaux outils pour décrire une variable (statistiques univariées) et pour explorer les relations entre deux variables (statistiques bivariées). Nous montrons comment calculer les mesures statistiques les plus courantes et comment construire différents types de graphiques et tableaux pour résumer les caractéristiques d'un ensemble de données. Nous nous appuyons sur les données de l'enquête PISA Suisse 2012, que nous analysons grâce au logiciel SPSS. Nous illustrons ses fonctions de base et expliquons comment interpréter les tableaux et graphiques qu'il produit.
Manuel D Introduction La Statistique Appliqu E Aux Science
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Author : Jimmy Bourque
language : fr
Publisher: Presses de l'Université Laval
Release Date : 2016-12-07T00:00:00-05:00
Manuel D Introduction La Statistique Appliqu E Aux Science written by Jimmy Bourque and has been published by Presses de l'Université Laval this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-07T00:00:00-05:00 with Education categories.
Ce volume vise à initier, avec humour et rigueur, étudiants et chercheurs à l'analyse statistique appliquée aux sciences sociales. Le but est d'emmener le lecteur à pouvoir entreprendre l'analyse de données statistiques avec les logiciels d'analyse SPSS ou R de façon autonome (en fait, pas complètement autonome, puisqu'il faut quand même utiliser le manuel, mais nous digressons...). Ce manuel couvre les bases du traitement statistique fréquemment utilisé en sciences sociales: fondements de l'inférence statistique (estimation et tests d'hypothèses), statistiques descriptives, analyses préliminaires et un foisonnement fascinant de test d'hypothèses (tests t, analyse factorielle exploratoire, indices de fidélité, tests du khi carré, régression logistique et tests non paramétriques). Bourque et El Adlouni, professeurs bardés de diplômes à l'Université de Moncton, affirmaient récemment à propos de ce bouquin : « Il s'agit d'un ouvrage remarquable. Tout le monde devrait en posséder un exemplaire... » Comme ils ne sont presque aucunement biaisés, c'est tout dire, non ? Jimmy Bourque, PH.D., est professeur à la Faculté des sciences de l'éducation de l'Université de Moncton, où il enseigne les cours de méthodes quantitatives de recherche et de statistique appliquée aux cycles supérieurs. Sinon, il passe le plus clair de son temps à pourchasser valeureusement la pseudoscience sur les réseaux sociaux. La victoire demeure élusive. Salah-Eddine El Adlouni, Ph.D., est professeur au département de mathématiques et statistique de l'Université de Moncton. Il est spécialiste de la théorie des valeurs extrêmes et des approches bayésiennes. Il est sérieux, lui...
Quantitative Data Analysis In Education
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Author : Paul Connolly
language : en
Publisher: Routledge
Release Date : 2007-08-07
Quantitative Data Analysis In Education written by Paul Connolly and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-07 with Education categories.
This book provides a refreshing and user-friendly guide to quantitative data analysis in education for students and researchers. It assumes absolutely no prior knowledge of quantitative methods or statistics. Beginning with the very basics, it provides the reader with the knowledge and skills necessary to be able to undertake routine quantitative data analysis to a level expected of published research. Rather than focusing on teaching statistics through mathematical formulae, the book places an emphasis on using SPSS to gain a real feel for the data and an intuitive grasp of the main concepts and techniques involved. Drawing extensively upon up-to-date and relevant examples, the reader will be encouraged to think critically about quantitative research and its potential as well as its limitations in relation to education. Packed with helpful features, this book: provides illustrated step-by-step guides showing how to use SPSS, with plenty of exercises to encourage the reader to practice and consolidate their new skills makes extensive use of real-life educational datasets derived from national surveys in the US and UK to illustrate key points and to bring the material to life has a companion website that contains all of the educational datasets used in the book to download as well as comprehensive answers to exercises and a range of other useful resources that are regularly updated. The book will therefore appeal not only to undergraduate and postgraduate students but also to more established and seasoned educational researchers and lecturers and professors who have tended to avoid or shy away from quantitative methods.
Quantitative Methods In Educational And Social Research Using Spss
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Author : Tolmie, Andy
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2011-09-01
Quantitative Methods In Educational And Social Research Using Spss written by Tolmie, Andy and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Education categories.
The aim of this book is to bridge the gap between introductory and more advanced ‘technical’ books on quantitative methods, helping the reader to progress clearly.
Multilevel Modeling Of Educational Data
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Author : Ann A. O'Connell
language : en
Publisher: IAP
Release Date : 2008-04-01
Multilevel Modeling Of Educational Data written by Ann A. O'Connell and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-01 with Education categories.
(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (Ed-Stat SIG) of the American Educational Research Association. The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e.- the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying school-level characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional single-level approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community. In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through hands-on data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.
Quantitative And Statistical Data In Education
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Author : Michel Larini
language : en
Publisher: John Wiley & Sons
Release Date : 2018-12-18
Quantitative And Statistical Data In Education written by Michel Larini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Education categories.
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Mesurer
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Author : Christelle Chevallier-Gaté
language : fr
Publisher: Editions L'Harmattan
Release Date : 2006-02-01
Mesurer written by Christelle Chevallier-Gaté and has been published by Editions L'Harmattan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-01 with Education categories.
Ce numéro de la revue Eduquer s'inscrit dans un paradoxe : alors que le recours aux nombres n'a jamais eu autant d'ampleur (sondages, taux divers...), les compétences pour les lire semblent faire défaut. A leur manière, les participants au Symposium se sont interrogés sur les difficultés que rencontrent les étudiants dans l'apprentissage de la statistique. Ces actes s'adressent aux enseignants (du secondaire et de l'université) mais aussi à ceux que la question de la statistique et de son utilisation interroge.
Design And Analysis In Educational Research
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Author : Kamden K. Strunk
language : en
Publisher: Routledge
Release Date : 2020-04-22
Design And Analysis In Educational Research written by Kamden K. Strunk and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-22 with Education categories.
This book presents an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Design and Analysis in Educational Research teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets. This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.
Raisonnements Dans L Analyse De Donn Es Exp Rimentales En Sciences De L Ducation
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Author : Luc-Olivier Pochon
language : fr
Publisher: Editions L'Harmattan
Release Date : 2012-11-01
Raisonnements Dans L Analyse De Donn Es Exp Rimentales En Sciences De L Ducation written by Luc-Olivier Pochon and has been published by Editions L'Harmattan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-01 with Science categories.
Des concepts et des procédures utilisés dans les démarches expérimentales sont ici revisités. La première partie engage le lecteur dans une réflexion sur l'activité scientifique en général et sur la place des outils formels dans les raisonnements. La deuxième partie est technique et se concentre sur une famille de techniques de statistiques non paramétriques qui fournissent aux chercheurs un garde-fou utile dans les études expérimentales en pédagogie ou en psychologie du développement.