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Validating the IDRIS and IDRIA: Two infrequency/frequency scales for detecting careless and insufficient effort survey responders

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To detect careless and insufficient effort (C/IE) survey responders, researchers can use infrequency items—items that almost no one agrees with (e.g., “When a friend greets me, I generally try to say nothing back”)—and frequency items—items that almost everyone agrees with (e.g., “I try to listen when someone I care about is telling me something”). Here, we provide initial validation for two sets of these items: the 14-item Invalid Responding Inventory for Statements (IDRIS) and the 6-item Invalid Responding Inventory for Adjectives (IDRIA). Across six studies (N1 = 536; N2 = 701; N3 = 500; N4 = 499; N5 = 629, N6 = 562), we found consistent evidence that the IDRIS is capable of detecting C/IE responding among statement-based scales (e.g., the HEXACO-PI-R) and the IDRIA is capable of detecting C/IE responding among both adjective-based scales (e.g., the Lex-20) and adjective-derived scales (e.g., the BFI-2). These findings were robust across different analytic approaches (e.g., Pearson correlations; Spearman rank-order correlations), different indices of C/IE responding (e.g., person-total correlations; semantic synonyms; cursor tracking), and different sample types (e.g., US undergraduate students; Nigerian survey panel participants). Taken together, these results provide promising evidence for the utility of the IDRIS and IDRIA in detecting C/IE responding.
Center for Open Science
Title: Validating the IDRIS and IDRIA: Two infrequency/frequency scales for detecting careless and insufficient effort survey responders
Description:
To detect careless and insufficient effort (C/IE) survey responders, researchers can use infrequency items—items that almost no one agrees with (e.
g.
, “When a friend greets me, I generally try to say nothing back”)—and frequency items—items that almost everyone agrees with (e.
g.
, “I try to listen when someone I care about is telling me something”).
Here, we provide initial validation for two sets of these items: the 14-item Invalid Responding Inventory for Statements (IDRIS) and the 6-item Invalid Responding Inventory for Adjectives (IDRIA).
Across six studies (N1 = 536; N2 = 701; N3 = 500; N4 = 499; N5 = 629, N6 = 562), we found consistent evidence that the IDRIS is capable of detecting C/IE responding among statement-based scales (e.
g.
, the HEXACO-PI-R) and the IDRIA is capable of detecting C/IE responding among both adjective-based scales (e.
g.
, the Lex-20) and adjective-derived scales (e.
g.
, the BFI-2).
These findings were robust across different analytic approaches (e.
g.
, Pearson correlations; Spearman rank-order correlations), different indices of C/IE responding (e.
g.
, person-total correlations; semantic synonyms; cursor tracking), and different sample types (e.
g.
, US undergraduate students; Nigerian survey panel participants).
Taken together, these results provide promising evidence for the utility of the IDRIS and IDRIA in detecting C/IE responding.

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