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ArtikelCrossover Linear Modeling : Combining Multilevel Heterogeneties in Crossover Relationships  
Oleh: Jian Han
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 8 no. 3 (Jul. 2005), page 290-316.
Topik: multilevel; multilevel analysis; crossover linear modeling; random coefficient modeling; hierarchical linear modeling; early recruitment study
Fulltext: 290.pdf (211.89KB)
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  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: OO3.6
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Isi artikelIn organizational research, many multilevel structures are not fully nedted but have a crossover structure. For example, in early recruitment study, the relationship between job applicants and recrutiing companies has the crossover structure because each applicant is interested in applying multiple companies whereas each company is of interest of multiple applicants, and applicants and companies are not fully nested within each other. This article introduces the crossover linear modeling (CLM) method and argue sthat CLM is useful when dealing with multilevel crossover structures by combining the heterogeneities of all levels into one model. The article uses an example in early recruitment research to illustrate the use of CLM in modeling direct effects, cross - level effects, and interaction effects in a crossover data structure. The statistical analysis on an actual data set shows that CLM is able to identify both company - level and applicant - level heterogeneities. The article presents further examples to show that CLM can be applied to many organizational research settings when multilevel crossover structures are present.
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