Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 142,69
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 163,67
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 168,61
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 216,98
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Añadir al carritoHardcover. Condición: Brand New. 88 pages. 10.00x7.00x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Blue Rose Publishers Feb 2017, 2017
ISBN 10: 1473907500 ISBN 13: 9781473907508
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 116,70
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE s Mastering Business Research Methodsseries, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to supportresearchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. 104 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 138,83
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 146,79
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 140,05
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 121,10
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE s Mastering Business Research Methodsseries, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to supportresearchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
Idioma: Inglés
Publicado por Sage Publications|SAGE Publications Ltd, 2017
ISBN 10: 1473907500 ISBN 13: 9781473907508
Librería: moluna, Greven, Alemania
EUR 136,69
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This concise and practical guide explores the use of analysing quantitative survey data using classical test theory as a method for conducting research in a business and management Masters dissertation.This concise and practical guide explores the us.