Mixed Second Order Indicator Model: The First Order Using Principal Component Analysis and The Second Order Using Factor Analysis

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Mixed Second Order Indicator Model: The First Order Using Principal Component Analysis and The Second Order Using Factor Analysis

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The second order indicator model can be the first order having formative or reflective
indicators of an underlying second order. The research used principal component analysis in the
first order and factor analysis in the second order. The variable used in the research was ihsan
behavior. This research aims to apply multivariate analysis, i.e. the principal component analysis
in the first order and the factor analysis in the second order to obtain the latent variable data of
ihsan behavior in the second order indicator model. The data used in this research were primary
data by distributing questionnaires. Respondents of this research were lecturers of the Faculty of
Economics and Business at the University of X. The research results generated latent variable
data in the form of ihsan behavior. Ihsan behavior was reflected in six indicators, i.e. doing
something perfectly, repaying goodness with more goodness, reducing optimally unpleasant
consequences, as a solution when justice cannot be realized, as a logical consequence rather than
faith, and as an investment in future success.


Detail Information

Item Type
Jurnal
Penulis
Rini Yanti - Personal Name
Benny Hutahayan - Personal Name
Solimun - Personal Name
Adji Achmad Rinaldo Fernandes - Personal Name
Armanu - Personal Name
Ani Budi Astuti - Personal Name
Nurjannah - Personal Name
Luthfatul Amaliana - Personal Name
Student ID
Dosen Pembimbing
Penguji
Kode Prodi PDDIKTI
Edisi
Published
Departement
Kontributor
Bahasa
English
Penerbit IOP Publishing : Malang.,
Edisi
Published
Subyek
No Panggil
Copyright
Universitas Brawijaya
Doi

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