As noted in a post about resources for research synthesis, a statistical consultant who’s experienced in this area can be a valuable collaborator.  Many research synthesists encounter challenges that routine methods don’t handle or that readily accessible methodological publications don’t seem to address.  By finding or developing valid ways to address these issues, a good consultant can enhance a project’s quality and reduce potential threats to validity.  Also, few research synthesists stay abreast of the large and rapidly growing methodological literature in this area; a consultant who’s broadly familiar with methodology for research synthesis can help identify and implement currently best practices.

Such consulting is how I (Adam Hafdahl, your dutiful blauthor) earn a living.  Drawing on more than 15 years of experience with meta-analysis, I’ve assisted clients with a wide variety of tasks in meta-analysis and other stages of research synthesis.  Most of my consulting entails working with a client on analyses for a given investigation, including planning and reporting.  These projects range from brief (e.g., 2 hours for a very specific problem) to rather extensive (e.g., a few hundred hours over a couple years for thorough analyses of multiple large, messy data sets.)  I also offer other services, such as conducting workshops, helping prepare grant applications, developing customized software, and compiling bibliographies.

The following website for my consulting business includes information about the typical consultation process, my credentials, and how contact me:

Please note that I rarely provide free personalized consulting advice or assistance via this blog.  In my experience it’s usually poor professional practice to consult on non-trivial problems without discussing the client’s research aims, methods, data, resources, and constraints.  Except in very simple situations, communicating about these things via blog is a poor use of my limited time.  This blog serves as a forum for exchanging ideas about interesting meta-analytic problems, and I often try to point readers to useful resources, but my posts, (replies to) comments, and other contributions should not be construed as client-specific consulting.  Thanks for respecting this policy.

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