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The Generalizability of Sexual Harassment Models across Heterogeneous Organizations

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Title: The Generalizability of Sexual Harassment Models across Heterogeneous Organizations


1
The Generalizability of Sexual Harassment Models
across Heterogeneous Organizations
  • Patrick Wadlington, Fritz Drasgow, Louise
    Fitzgerald
  • University of Illinois at Urbana-Champaign
  • Funded by the Department of Defense and the
    National Institute of Mental Health

2
Introduction
  • The job is one of the most well-documented arenas
    for the incidence and severity of sexual
    harassment (Fitzgerald, Collinsworth, Harned,
    2002).
  • Strong support for the Fitzgerald et al. (1995)
    model has been obtained within a variety of
    individual organizations (Fitzgerald, Drasgow,
    Hulin, Gelfand, Magley, 1997 Glomb, Munson,
    Hulin, Bergman, Drasgow, 1999).

3
Introduction (continued)
  • Purpose of present study To determine whether
    the model of sexual harassment can be generalized
    across diverse organizations.
  • This is a much more stringent test of the model.

4
Samples (women only)
  • Agribusiness
  • 264 individuals
  • Utility
  • 365 individuals
  • University
  • 273 individuals
  • Non-US
  • 355 individuals

5
Model with 3 samples
6
Model with 3 samples - Measures
  • Antecedents of SH
  • Job gender context (3 items alpha.42)
  • Gender ratio of their workgroup
  • Gender of immediate supervisor
  • Whether they were one of the first of their sex
    to do their job
  • Organizational tolerance
  • Organizational Tolerance for Sexual Harassment
    Inventory (Hulin, Fitzgerald, Drasgow, 1996)
  • 18 items
  • alpha.96

7
Model with 3 samples Measures (continued)
  • Sexual Harassment
  • Sexual Experiences Questionnaire-Revised
  • Three behavioral types
  • Gender Harassment put down
  • Unwanted Sexual Attention come on
  • Sexual Coercion bribery for sexual
    cooperation
  • 17 items
  • Alpha.81

8
Model with 3 samples Measures (continued)
  • Consequences of SH
  • Psychological condition
  • Mental Health Index (Veit Ware, 1983)
  • Evaluates psychological distress
  • 9 items
  • Alpha.89
  • An abbreviated Crime-Related Post-Traumatic
    Stress Disorder Scale (Saunders, Arata, and
    Kilpatrick, 1990)
  • A second measure of psychological distress
  • 10 items
  • Alpha.80

9
Model with 3 samples Measures (continued)
  • Satisfaction With Life Scale (Diener 1984)
  • Evaluates subjective well-being
  • 5 items
  • Alpha.87
  • Job satisfaction
  • Job Descriptive Index (Smith et al., 1969)
  • 30 items
  • Alpha.90

10
Model with 3 samples Measures (continued)
  • Work withdrawal
  • Work Withdrawal scale
  • 9 items
  • Alpha.70
  • Job withdrawal
  • Job withdrawal scale
  • 5 items
  • Alpha.63

11
Model with 3 samples Measures (continued)
  • Health condition
  • Health conditions index (Brodman, Erdman, Lorge,
    Wolff, 1949)
  • 5 items
  • Alpha.71
  • Health satisfaction
  • Subscale of the retirement descriptive index
    (Smith et al., 1969)
  • 9 items
  • Alpha.69

12
Model with 3 samples Measures (continued)
  • Control Variables
  • Job stress
  • Stress in General Scale (SIG Smith, Sademan,
    McCrary, 1992)
  • 9 items
  • Alpha.87

13
Model with 4 samples
14
Description of Analyses
  • Measurement equivalence
  • Do the measures assess the underlying constructs
    in the same way across organizations?
  • Invariance across the samples would provide
    support for the generalizability of the
    measurement model.
  • Relational invariance
  • Evaluate the relationships among constructs
    across groups.
  • If found invariant, support for the
    generalizability of the relations among the
    constructs.

15
Description of Analyses (continued)
  • Method Simultaneous factor analysis in several
    populations (SIFASP) Jöreskog, 1971
  • Examine model-data fit for all samples separately
  • Examine model-data fit for all samples
    simultaneously
  • Equality constraints on the factor loadings
  • If model-data fit does not significantly
    decrease, then the model is generalizable.

16
Results Model with 3 samples
17
Results Model with 3 samples (continued)
18
Results Model with 3 samples (continued)
  • The model-data fit was not significantly
    deceased, so the model is generalizable.
  • Therefore, now the relationships between the
    constructs within the model can be interpreted.

19
Interpretation Model with 3 samples
20
Results Model with 4 samples
21
Results Model with 4 samples (continued)
22
Results Model with 4 samples (continued)
  • The model-data fit was not significantly
    deceased, so the model is generalizable.
  • Therefore, now the relationships between the
    constructs within the model can be interpreted.

23
Interpretation Model with 4 samples
24
Implications
  • The rigorous analyses provide very strong
    evidence that these related models are useful for
    studying, understanding, and reducing sexual
    harassment within a variety of organizations.
  • The direct significant path from organization
    tolerance to job satisfaction implies that
    regardless of the level of sexual harassment that
    occurs within an organization, the CEO or manager
    would be prudent to take this issue seriously.
  • Employers and employees alike not only need to
    deter and stop the actual behaviors of sexual
    harassment but also invest their resources in
    creating an environment that is not tolerant of
    sexual harassment.
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