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Practical example comparing principal de bodenmüller holger (4 resultados)

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  • Idioma: Inglés

    Editorial: Grin Verlag, 2015

    3656923698 / 9783656923695

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 27,55

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    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: GRIN Verlag, GRIN Verlag, 2015

    3656923698 / 9783656923695

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 18,95

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    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Seminar paper from the year 2011 in the subject Economics - Statistics and Methods, grade: 1,0, University of applied sciences, Munich, course: Research Methods, language: English, abstract: In this paper the historical and theoretical background of the factor analysis is briefly explained. Principal Component Analysis (PCA) and Principal Axis Factoring (PAF) are applied to a data set which has been generated in the scope of the evaluation of the implementation of Company X's corporate Strategy XX. The results clearly indicate that structural parts of the data collection instrument could be reproduced by the empirical data.The primary factors resulting from an orthogonal respectively oblique rotation are comparable but also show slight differences. Latent constructs like 'Trust', 'Job Satisfaction' 'Disengagement' and 'Pessimism' are indicated by the results. Secondary factors indicate a negative relationship between disengagement and leadership respectively transparency concerning the corporate strategy and job satisfaction. Also aspects of 'state negativity' can be identified. This means that a general pessimistic attitude is related to a more pessimistic view on realized customer focus. The application of more elaborated methods would be needed to identify causal relationships.…

  • Idioma: Inglés

    Editorial: GRIN Verlag Mrz 2015, 2015

    3656923698 / 9783656923695

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Seminar paper from the year 2011 in the subject Economics - Statistics and Methods, grade: 1,0, University of applied sciences, Munich, course: Research Methods, language: English, abstract: In this paper the historical and theoretical background of the factor analysis is briefly explained. Principal Component Analysis (PCA) and Principal Axis Factoring (PAF) are applied to a data set which has been generated in the scope of the evaluation of the implementation of Company X's corporate Strategy XX. The results clearly indicate that structural parts of the data collection instrument could be reproduced by the empirical data.The primary factors resulting from an orthogonal respectively oblique rotation are comparable but also show slight differences. Latent constructs like 'Trust', 'Job Satisfaction' 'Disengagement' and 'Pessimism' are indicated by the results. Secondary factors indicate a negative relationship between disengagement and leadership respectively transparency concerning the corporate strategy and job satisfaction. Also aspects of 'state negativity' can be identified. This means that a general pessimistic attitude is related to a more pessimistic view on realized customer focus. The application of more elaborated methods would be needed to identify causal relationships. 32 pp. Englisch.…

  • Idioma: Inglés

    Editorial: GRIN Verlag, 2015

    3656923698 / 9783656923695

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 18,95

    Envío por EUR 70,00 
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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. A Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs | Holger Bodenmüller | Taschenbuch | 32 S. | Englisch | 2015 | GRIN Verlag | EAN 9783656923695 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand.…