1992
DOI: 10.1037/h0090375
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"Gender and the evaluation of leaders: A meta-analysis": Correction to Eagly et al.

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Cited by 19 publications
(10 citation statements)
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“…Eagly and colleagues also quantitatively summarize research on gender and the evaluation of leaders(Eagly et al, 1992), gender and leadership style(Eagly & Johnson, 1990;Eagly et al, 2003), and gender and stereotypes of leaders(Koenig et al, 2011).…”
mentioning
confidence: 99%
“…Eagly and colleagues also quantitatively summarize research on gender and the evaluation of leaders(Eagly et al, 1992), gender and leadership style(Eagly & Johnson, 1990;Eagly et al, 2003), and gender and stereotypes of leaders(Koenig et al, 2011).…”
mentioning
confidence: 99%
“…Finally, women in leadership roles exhibit a more democratic or participative style of leadership, while men tend to be more autocratic (Eagly et al., ). Researchers argue that increasing the number of women leaders in schools will shift public education to a model that includes greater commitment to address problems of social injustice (Shakeshaft, ; Grogan, ; Kerr, Kerr, and Miller, ).…”
Section: Literature Review and Theoretical Orientationmentioning
confidence: 99%
“…These studies examined a variety of outcomes (e.g., aspects of leadership, job performance), and several grouping variables (e.g., age, gender, and race) are prominent. In one example, Eagly, Makhijani, and Klonsky (1992) examined gender effects in the evaluation of leaders (the ratees). Eagly et al (1992) coded the nature of the factor for leader gender-reporting designs with withinsubject, between-subjects, or "other, mixed, or unclear" (p. 9) gender factors.…”
Section: Meta-analyses With Other Metrics and Outcomesmentioning
confidence: 99%
“…In one example, Eagly, Makhijani, and Klonsky (1992) examined gender effects in the evaluation of leaders (the ratees). Eagly et al (1992) coded the nature of the factor for leader gender-reporting designs with withinsubject, between-subjects, or "other, mixed, or unclear" (p. 9) gender factors. Most of the designs had gender as a between-subjects factor.…”
Section: Meta-analyses With Other Metrics and Outcomesmentioning
confidence: 99%