ISBN: 9781462545605 - composite-based structural equation modeling: analyzing latent and emergent variables (methodology in the social sciences) (5 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (5)

  • Nuevo (5)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: Guilford Publications, New York, 2021

    1462545602 / 9781462545605

    Serie: Libro 25 de 33 - Methodology in the Social Sciences

    • Tapa dura

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 127,59

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Guilford Publications, New York, 2021

    1462545602 / 9781462545605

    Serie: Libro 25 de 33 - Methodology in the Social Sciences

    • Tapa dura

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 118,72

    Envío por EUR 44,20 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Idioma: Inglés

    Editorial: The Guilford Press, 2021

    1462545602 / 9781462545605

    Serie: Libro 25 de 33 - Methodology in the Social Sciences

    • Tapa dura

    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 166,79

    Envío por EUR 3,58 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    Condición: New.

  • Idioma: Inglés

    Editorial: The Guilford Press, 2021

    1462545602 / 9781462545605

    Serie: Libro 25 de 33 - Methodology in the Social Sciences

    • Tapa dura

    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 174,01

    Envío por EUR 7,77 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Condición: New.

  • Idioma: Inglés

    Editorial: Guilford Publications, New York, 2021

    1462545602 / 9781462545605

    Serie: Libro 25 de 33 - Methodology in the Social Sciences

    • Tapa dura

    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 152,48

    Envío por EUR 33,17 
    Se envía de Australia a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Hardcover. Condición: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…