Deconstructing a domain into its cognitive attributes: test construction and data analysis
Patterson, Julie A.
Loading…
Permalink
https://hdl.handle.net/2142/26083
Description
Title
Deconstructing a domain into its cognitive attributes: test construction and data analysis
Author(s)
Patterson, Julie A.
Issue Date
2011-08-25T22:12:20Z
Director of Research (if dissertation) or Advisor (if thesis)
Douglas, Jeffrey A.
Doctoral Committee Chair(s)
Douglas, Jeffrey
Committee Member(s)
Stout, William F.
Chang, Hua-Hua
Anderson, Carolyn J.
Department of Study
Educational Psychology
Discipline
Educational Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
cognitive diagnosis models
big ideas
Fusion Model
statistics assessment
Abstract
If a cognitive model of learning provides the framework for both the educational system (i.e., curriculum, instruction, and assessment) and the design of the assessment, then both learning and instruction are optimized (Huff & Goodman, 2007). In this paper I describe the process of creating a cognitive framework for a college-level introductory statistics course. I begin with a review the current literature relating to cognitive diagnosis assessments and cognitive diagnosis models. Then I explain the procedure of deconstructing the course domain into a hierarchical arrangement of cognitive attributes and I explain the process of constructing a 50-item multiple-choice assessment that will be used to determine examinee mastery of the attributes. For the analysis of the examination data, I will present the item parameter estimates, examinee parameter estimates, and model fit statistics that were found using Item Response Theory, the Continuous Diagnostic Model, and the Fusion Model. Finally, I will discuss the compare examinee classification rates for simulated examination data that were found using a reduced version of the Option Based Fusion Model (which uses information from distractors or incorrect options) and the original Fusion Model. The results of the simulation study indicate that information is gained by using specific answer choices in the cognitive model.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.