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'''Ascertaining the validity of individual protocols from Web-based personality inventories''' ([[http://doi.org/10.1016/j.jrp.2004.09.009]]) was written by John A. Johnson (Pennsylvania State University), published in Journal of Research in Personality (Elsevier) in 2004. '''Ascertaining the validity of individual protocols from Web-based personality inventories''' (DOI: [[http://doi.org/10.1016/j.jrp.2004.09.009]]) was written by John A. Johnson in 2004. It was published in the ''Journal of Research in Personality'' (vol. 39).
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Author compares internet-based personality measures to conventional paper administrations.
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== Paper Surveying ==

Validity scales, which attempt to account the uncharacteristic positivity/negativity of a respondent, are found in many personality inventories. They are not always used for reasons both theoretical and empirical.

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[R]esearch indicates that 'correcting' scores with validity scales can actually ''decrease'' the validity of the measures (Piedmont, McCrae, Riemann, & Angleitner, 2000).
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== Web Surveying ==

Compared to paper surveying, there is greater risk of
Compared to paper surveying, web surveying features greater risk of:
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 * establish a maximum number of 'straightlined' responses

These involve assumptions about valid data, which can be guided by frequency distribution--but no silver bullet.
 * establish a maximum number of straight-lined responses

Ascertaining the validity of individual protocols from Web-based personality inventories

Ascertaining the validity of individual protocols from Web-based personality inventories (DOI: http://doi.org/10.1016/j.jrp.2004.09.009) was written by John A. Johnson in 2004. It was published in the Journal of Research in Personality (vol. 39).

Author compares internet-based personality measures to conventional paper administrations.

Compared to paper surveying, web surveying features greater risk of:

  • linguistic difficulties
  • inattentive or rushed response (due to perceived lack of accountability); common forms include...
    • random response
    • use of scales in wrong direction
    • skipping
  • repeat participation

The second can be addressed by removal from the data set. Potential tools to identify the inattentive or rushed responses are:

  • establish a maximum miss rate
  • establish a minimum length for string data
  • establish a maximum number of straight-lined responses


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AscertainingTheValidityOfIndividualProtocols (last edited 2025-06-17 13:32:42 by DominicRicottone)