Turner J., Firmery-Pretrunin, K., & Allen, J. (2014). Developing multilevel models for research. In V. C. X. Wang (Ed.), Handbook of research on scholarly publishing and research methods (p-p. 467-493). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-7409-1
Abstract:
In the past, a large number of research
efforts concentrated on single-level analysis; however, researchers who only
conduct this level of analysis are finding it harder to justify due to the advancements
in statistical software and research techniques. The validation of research
findings comes partially from other’s replicating existing studies as well as
building onto theories. Through replication and validation, the research
process becomes cyclical in nature, and each iteration builds upon the next. Each
succession of tests sets new boundaries, further verification, or
falsification. For a model to be correctly specified, the level of analysis
needs to be in congruence with the level of measurement. This chapter provides an overview of
multilevel modeling for researcher and provide guides for the development and
investigation of these models.
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