Using Hierarchical Linear Models to Examine Moderator Effects : Person by-Organization Interactions  

Oleh:

Davidson, Mark L. ; Nohoon, Kwak ; Young, Seok Seo ; Jiyoung Choi

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 5 no. 3 (2002), page 231-254.
Topik: LINEAR MODELS; studies; statistical data; organizational behaviour; models
Fulltext: 231.pdf (183.76KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A cross - level interaction is said to occur when the effects of client or employee characteristic interact with organizational characteristics interact with organizational characteristics to influence an employee or client outcome variable. Hierarchical linear modeling (HLM) is briefly described, particularly as it applies to the study of cross - level itneractions. HLM is then compared to moderated multiple regression (MMR). An HLM model incorporating cross - level interactions is ilustrated with data from a study of test validity across organizational units. An HLM model for person - organization congruence is then described. As compared to MMR, HLM can more readily handle large numbers of organizations. By increasing the number of organizations that can be studied, HLM should increase the power of the designs that researchers can use.

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