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Using Multi-Source Data to Understand the Unfolding of Good & Bad Mentoring Over Time. Lillian T. Eby University of Georgia Marcus M. Butts University of Texas-Arlington. Methodological Criticisms of Mentoring Research. Mostly cross-sectional designs (Allen et al., 2008)
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Using Multi-Source Data to Understand the Unfolding of Good & Bad MentoringOver Time Lillian T. Eby University of Georgia Marcus M. Butts University of Texas-Arlington
Methodological Criticisms of Mentoring Research Mostly cross-sectional designs (Allen et al., 2008) Multi-source data isuncommon (Allen et al., 2008) Concerning because we know that relationshipsare both dyadic & dynamic(e.g., Kram, 1985; Levinger, 1979)
Conceptual Criticisms of Mentoring Research • Presumption that mentoring is a universally positive experience • But research evidence to the contrary (e.g., Eby et al., 2000, 2010; Ragins & Scandura, 1997) • Most mentoring relationships are marked by both positive & negative experiences (Eby, 2007; Scandura, 1997) • Need to consider role of time • Does “bad beget bad” & “good beget good”? • How does this play out over time?
Methodology • 223 in-tact mentor-protégé dyads • Two waves of data collection from all participants • Psychometrically sound multi-item measures of “good” (Ragins & McFarlin, 1990; Ragins & Scandura, 1997) and “bad” mentoring (Eby et al, 2000, 2010) • Context: healthcare organization, supervisory mentoring relationships, all areas of U.S.
Contemporaneous Correlations Trending toward greater consistency as relationship length increases
Take-Aways It’s important to include both the mentor’s & protégé’s perspective Studying mentoring over time may lead to new insights Examining the good and bad aspects of mentoring provides a more complete (and realistic) picture of dyadic relational processes