Encouraging best practice in quantitative management research: An incomplete list of opportunities

    Authors

    R. Echambadi; B. Campbell;R. Agarwal

    Comments

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    Abbreviated Journal Title

    J. Manage. Stud.

    Keywords

    HIERARCHICAL LINEAR-MODELS; LONGITUDINAL DATA; EMPIRICAL; GENERALIZATIONS; UNOBSERVED HETEROGENEITY; CONSUMER RESEARCH; INDICATORS; CONSEQUENCES; ENDOGENEITY; EQUATIONS; VARIABLES; Business; Management

    Abstract

    The paper identifies some common problems encountered in quantitative methodology and provides information on current best practice to resolve these problems. We first discuss issues pertaining to variable measurement and concerns regarding the underlying relationships among variables. We then highlight several advances in estimation methodology that may circumvent issues encountered in common practice. Finally, we discuss approaches that move beyond existing research designs, including the development and use of datasets that embody linkages across levels of analysis, or combine qualitative and quantitative methods.

    Journal Title

    Journal of Management Studies

    Volume

    43

    Issue/Number

    8

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    1801

    Last Page

    1820

    WOS Identifier

    WOS:000242835700008

    ISSN

    0022-2380

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