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Une initiation approfondie à l'analyse de variance à destination des disciplines utilisant une démarche expérimentale en particulier en sciences humaines et en biologie. Ces situations expérimentales sont utilisées pour illustrer la mise en oeuvre des procédures et l'interprétation des résultats à l'aide du logiciel SPSS.--[Memento]
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Clair et synthétique, cet ouvrage permet d'acquérir les connaissances essentielles pour mener à bien une étude marketing. Il suit les étapes habituelles d'une étude et met l'accent sur des aspects souvent peu traités : la présentation du secteur des études, les nouvelles sources de données, la rédaction d'un rapport, etc. Ancré dans le réel, chaque chapitre propose des témoignages de professionnels du secteur, l'illustration de best practices, des études de cas et des exemples questionnant les pratiques d'un point de vue éthique. L'exposé tient compte de l'évolution du secteur et de ses nouveaux enjeux : impact du digital, des réseaux sociaux et des technologies mobiles, dernières innovations en recherche marketing, applications internationales, etc. De nombreux éléments facilitent l'apprentissage et rythment les chapitres : des notes qui résument les concepts clés en une phrase, des renvois vers des vidéos sélectionnées sur YouTube permettant de confronter les méthodes et concepts exposés à la réalité du terrain, un cas fil rouge pour synthétiser les savoirs, des exercices pour s'entraîner, etc. L'utilisation d'un des logiciels les plus reconnus du traitement des analyses marketing, SPSS, est également exposée. Motivant et engageant, cet ouvrage a été pensé pour que l'étudiant soit acteur et se projette dans sa future carrière.
Marketing research --- SPSS for Windows --- Marketing research. --- Marketing --- SPSS (logiciel). --- Études de marché --- Recherche. --- Manuels d'enseignement supérieur. --- SPSS (logiciel) --- Études de marché --- Management --- Case studies.
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Statistique --- Logiciels --- SPSS (Logiciel) --- Social sciences --- Naslagwerken --- Statistical methods --- referentiewerken informatica --- referentiewerken informatica.
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Un ouvrage complet de l'analyse de données avec SPSS de révision et d'entraînement : Cours, QCM commentés, entraînement. L'ouvrage propose les principaux concepts de l'analyse de données. Celle-ci permet de traiter un nombre très important de données afin de prendre des décisions stratégiques, managériales ou marketing. Le livre est basé sur les cours enseignés depuis plusieurs années par les trois enseignants à l'IAE de Paris, l'IAE Gustave Eiffel et la London School of Economics.Chaque fiche comprend les connaissances essentielles, un QCM dont le corrigé est l'occasion de rappeler les notions incontournables, et des exercices corrigés. Un cas de synthèse clôture l'ouvrage.
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Marketing --- Statistical methods --- Software --- Textbooks --- Problems, exercises, etc. --- College textbooks --- Méthodes statistiques --- Logiciels --- Manuels d'enseignement supérieur --- Problèmes et exercices --- SPSS (Logiciel) --- Methodes statistiques --- Méthodes statistiques --- Manuels d'enseignement supérieur --- Problèmes et exercices --- Marketing - Méthodes statistiques - Logiciels - Manuels d'enseignement supérieur --- Marketing - Methodes statistiques - Logiciels - Problemes et exercices
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Introduction aux méthodes statistiques en psychologie, comprenant l'utilisation du logiciel de calcul statistique SPSS. L'ouvrage comporte des indications sur la rédaction des articles de recherche et présente des résultats d'expériences réelles parues dans la littérature scientifique. Avec des exercices et des QCM corrigés.
Psychométrie --- SPSS (logiciel) --- Manuels d'enseignement supérieur --- Psychologie --- Modèles mathématiques --- Statistics as Topic --- Psychology --- Psychometrics --- Mathematical statistics --- Statistique mathématique --- Statistical methods --- Computer programs --- Méthodes statistiques --- Logiciels --- SPSS (Computer file) --- Mathematical models --- Psychométrie --- Statistique mathématique --- Méthodes statistiques --- Psychométrie. --- Modèles mathématiques.
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"Hot on the heels of the award-winning and best selling Discovering Statistics Using SPSS Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-depreciating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using the freeware R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioral sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next the importance of exploring and graphing data will be discovered, before moving onto statistical tests that are the foundations of the rest of the book (for e.g. correlation and regression). Readers will then stride confidently into intermediate level analyses such as ANOVA, before ending their journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help the reader gain the necessary conceptual understanding of what they're doing, the emphasis is on applying what's learned to playful and real-world examples that should make the experience more fun than expected."--Publisher's website.
Programming --- Mathematical statistics --- Social sciences --- R (Computer program language) --- Statistics --- Statistical methods --- Computer programs --- #SBIB:303H510 --- #SBIB:303H520 --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- R (Computer program language). --- Methoden en technieken --- Computer programs. --- Statistiek. --- 300 --- 301 --- PBIB --- Algemene statistische naslagwerken. --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek. --- Statistiek --- #KVHB:Statistiek --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- GNU-S (Computer program language) --- Domain-specific programming languages --- Statistical methods&delete& --- Algemene statistische naslagwerken --- Techniek van statistische inlichtingen. Organisatie van de statistische enquêtes. Statistische kritiek --- Computerprogramma's. --- Statistics as Topic. --- Software. --- SPSS (Computer file) --- 681.3*G3 --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- SPSS (logiciel) --- Sciences sociales --- R (logiciel) --- Statistiques --- Méthodes statistiques --- Logiciels. --- Social sciences - Statistical methods - Computer programs --- Statistics - Computer programs --- Statistics as Topic --- Méthodes statistiques
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R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. Robert A. Muenchen is the manager of the Statistical Consulting Center at the University of Tennessee and has 28 years of experience as a consulting statistician. He has served on the advisory boards of SPSS Inc. and the Statistical Graphics Corporation. "This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R…An invaluable reference." - David Hitchcock, University of South Carolina "Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!" - Tony N. Brown, Vanderbilt University "This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively." - Ralph O'Brien, ASA Fellow "I am a professional SAS and SPSS programmer and found this book extremely useful." - Tony Chu, Public Policy Research Data Analyst.
Image processing. --- Image restruction. --- Imaging systems in medicine. --- R (Computer program language). --- Radio astronomy. --- SAS (Computer file). --- SPSS (Computer file). --- Sun --Corona. --- Tomography. --- R (Computer program language) --- Image Enhancement --- Tomography --- Image Processing, Computer-Assisted --- Photography --- Diagnostic Imaging --- Diagnostic Techniques and Procedures --- Computing Methodologies --- Information Science --- Diagnosis --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- SAS (Computer file) --- SPSS (Computer file) --- GNU-S (Computer program language) --- Statistical package for the social sciences --- Statistical analysis system --- SAS system --- Ferroelectric crystals. --- Photoferroelectric effect. --- Cristaux ferroélectriques --- Cristaux ferroélectriques --- Image restruction --- 681.3*J0 --- Image processing: image displays; image processing software (Computing methododologies) --- Computerwetenschap--?*J0 --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- Mathematics. --- Mathematical statistics. --- Data mining. --- Computer graphics. --- Computer software. --- Statistics. --- Psychology --- Psychological measurement. --- Mathematical Software. --- Statistics and Computing/Statistics Programs. --- Probability and Statistics in Computer Science. --- Data Mining and Knowledge Discovery. --- Computer Graphics. --- Psychological Methods/Evaluation. --- Methodology. --- 681.3*A0 --- 681.3*I4 --- 681.3*I5 --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies) --- 681.3*A0 General --- General --- Domain-specific programming languages --- Radio astronomy --- Imaging systems in medicine --- Sun --- Corona --- Computer science. --- Psychological tests and testing. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Software, Computer --- Computer systems --- Digital techniques --- Statistical methods --- Statistics . --- Psychology—Methodology. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Measurement --- Scaling --- Methodology --- SAS (Logiciel) --- SPSS (Logiciel) --- Sun - Corona
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