This is the most up to date version of this scale.

Construct Summary

The authors define mental models as:

“people’s conceptual frameworks to support their predictions and coordination in the world.” (p. 576)

and report that this scale aims to measure:

“the content and richness of people’s mental models of robots.” (p. 576)

Rating = 15%

Check? Guideline Item
Is the construct defined?
Does the final version of the items capture the construct as it has been defined by the authors?
Is the item generation process discussed (e.g., literature review, Delphi method, crowd-sourcing)?
Person to items 10:1 for the initial set of items?
Did they perform an EFA, PCA, Rasch, or similar test to determine the item to factor relationship?
Did they describe how they determined number of factors?
Did they report the full initial set of items?
Did they provide loadings (EFA) or item fits (Rasch) of all items?
Is there a description of the item removal process (e.g., using infit/outfit, factor loading minimum value, or cross-loading values)?
Did they list the final items included in the scale?
Did they include a factor structure test (e.g., second EFA, CFA, DIF, test for unidimensionality when using Rasch, or similar)?
Was a measure of reliability (e.g., Cronbach’s alpha, McDonalds Omega_h or Omega_t, Tarkkonen’s Rho) reported?
Was a test of validity (e.g., predictive, concurrent, convergent, discriminant) reported?

Comments List of items not reported in paper. Unclear how items were initially developed.

Reviewed by Experts ✓

Downloads

PAPER
Kiesler, S., & Goetz, J. (2002, April). Mental models of robotic assistants. In CHI’02 extended abstracts on Human Factors in Computing Systems (pp. 576-577).


PDF of scale as well as instructions for administration and scoring are not readily available. Check the paper for more details or email hriscaledatabase@gmail.com submit this information if you are the author of this scale.

Final Scale Items (unclear):