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Seek your work on employee voice to be included in our meta-analysis

  • 1.  Seek your work on employee voice to be included in our meta-analysis

    Posted 03-28-2017 01:25

    Dear all,

     

    My coauthors and I are conducting a meta-analysis on the relationship between:

    • employee voice (including all types of voice behavior and voice intention)
    • employee perceived safety (including psychological safety, participative safety, perceived risk of voice, etc.)
    • employee efficacy (including general self-efficacy, voice self-efficacy, etc.)

    If you have published such data that include either the relationship between employee efficacy and voice or the relationship between employee perceived safety and voice, or both, we would appreciate it if you could point us to the reference, just in case we have missed it.

     

    If you have any relevant unpublished data, we would greatly appreciate the opportunity to include it in the meta-analysis. In such cases the information we would need is:

    1. Reference for this data

    2. The variables

    3. The correlation matrix

    4. The scales used to measure the variables

    5. Internal reliabilities of the scales

    6. The country/ies where the data were collected

    7. The industry/ies where the data were collected

    8. The type/s of organization/s where the data were collected (for-profit, non-profit, government)

    9. Sample size (before and post attrition)

    10. Additional information about the study design:

    a. Study setting (survey or experiment)

    c. Raters of voice, perceived safety, and efficacy (employees, supervisors, coworkers)

    d. Time lags between measures of the variables

    e. The level of analysis (individual-, dyadic-, and group-level)

    d. Mean age of the sample, mean organizational tenure of the sample, and the proportion of males in the sample

     

    We would like to receive all studies by April 28 for inclusion in this study, though we will still consider including late responses if possible. Please send all studies or correspondence to me, email: mhuai@connect.ust.hk.

     

    Thank you very much,

    Regards,

    Ms. Mingyun Huai (Mia)

    PhD Candidate

    Hong Kong University of Science and Technology

    Email: mhuai@connect.ust.hk