Atur jumlah dan catatan
Stok Total: 30
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Rp116.000
Practical Guide of the Integrated Structural Equation Modeling
Rp116.000
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: Komputer
Deskripsi Practical Guide of the Integrated Structural Equation Modeling
Judul Lengkap : Practical Guide of the Integrated Structural Equation Modeling (SEM) with LISREL and AMOS for Marketing & Social Sciences Thesis
Penulis : Mochammad Riyadh Rizky Adam
x, 171 hlm.; Uk:20x29 cm
ISBN 978-602-475-219-4
Cetakan Mei 2018.
Hair et al. (2007) explains that Structural Equation Modeling (SEM) is“a family of statistical models (multivariate technique) that seek to explain the relationships among multiple variables. It examines the structure of interrelationships expressed in a series of equations, similar to a series of multiple regression equations.”
Structural equation modeling would be very good for the researchers who face a set of interrelated questions in their study. For example, what factors influence a brand trust? How does that brand trust combine with other factors would affect brand loyalty? If you face this situation in management, you need a multivariate technique to answer that issues. And, you will get the multivariate data as the results…
Judul Lengkap : Practical Guide of the Integrated Structural Equation Modeling (SEM) with LISREL and AMOS for Marketing & Social Sciences Thesis
Penulis : Mochammad Riyadh Rizky Adam
x, 171 hlm.; Uk:20x29 cm
ISBN 978-602-475-219-4
Cetakan Mei 2018.
Hair et al. (2007) explains that Structural Equation Modeling (SEM) is“a family of statistical models (multivariate technique) that seek to explain the relationships among multiple variables. It examines the structure of interrelationships expressed in a series of equations, similar to a series of multiple regression equations.”
Structural equation modeling would be very good for the researchers who face a set of interrelated questions in their study. For example, what factors influence a brand trust? How does that brand trust combine with other factors would affect brand loyalty? If you face this situation in management, you need a multivariate technique to answer that issues. And, you will get the multivariate data as the results…
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