A cross-level interaction is said to occur when the effects of client or employee characteristics interact with organizational characteristics to influence an em-ployee or client outcome variable. Hierarchical linear modeling (HLM) is briefly described, particularly as it applies to the study of cross-level interactions. HLM is then compared to moderatedmultiple regression (MMR). AnHLMmodel incor-porating cross-level interactions is illustrated with data from a study of test valid-ity across organizational units. An HLM model for person-organization congru-ence is then described. As compared toMMR,HLMcanmore readily handle large numbers of organizations. By increasing the number of organizations that can be studied,HLMshould increase the po...
Researchers frequently rely on general linear models (GLMs) to investigate the impact of human resou...
Multilevel modeling allows researchers to understand whether relationships between lower-level varia...
Thesis (Ph.D.)--University of Washington, 2015Moderated multiple regression (MMR) provides a useful ...
This paper proposes Hierarchical Linear Models as a procedure for investigating reciprocal interacti...
Top management support has long been conceivable as an important factor for the success of IS projec...
Most data involving organizations are hierarchical in nature and often contain variables measured at...
In organizational research, many multilevel structures are not fully nested but have a crossover str...
This article addresses (in)congruence across different kinds of organizational respondents or “organ...
This article examines how the ordering of variables impacts conclusions regard-ing the presence of a...
This dissertation examines the effects of inter-organizational relationships on organizational perfo...
Organizational researchers, including those carrying out occupational stress research, often conduct...
Information Systems researchers are often concerned with empirical questions spanning more than one ...
Multilevel modeling allows researchers to understand whether relationships between lower-level varia...
In social research work, the structure of the data are often hierarchical. Hierarchical linear model...
In this paper, I outline several conceptual and methodological issues related to modeling individual...
Researchers frequently rely on general linear models (GLMs) to investigate the impact of human resou...
Multilevel modeling allows researchers to understand whether relationships between lower-level varia...
Thesis (Ph.D.)--University of Washington, 2015Moderated multiple regression (MMR) provides a useful ...
This paper proposes Hierarchical Linear Models as a procedure for investigating reciprocal interacti...
Top management support has long been conceivable as an important factor for the success of IS projec...
Most data involving organizations are hierarchical in nature and often contain variables measured at...
In organizational research, many multilevel structures are not fully nested but have a crossover str...
This article addresses (in)congruence across different kinds of organizational respondents or “organ...
This article examines how the ordering of variables impacts conclusions regard-ing the presence of a...
This dissertation examines the effects of inter-organizational relationships on organizational perfo...
Organizational researchers, including those carrying out occupational stress research, often conduct...
Information Systems researchers are often concerned with empirical questions spanning more than one ...
Multilevel modeling allows researchers to understand whether relationships between lower-level varia...
In social research work, the structure of the data are often hierarchical. Hierarchical linear model...
In this paper, I outline several conceptual and methodological issues related to modeling individual...
Researchers frequently rely on general linear models (GLMs) to investigate the impact of human resou...
Multilevel modeling allows researchers to understand whether relationships between lower-level varia...
Thesis (Ph.D.)--University of Washington, 2015Moderated multiple regression (MMR) provides a useful ...