[PDF][PDF] A review of recent response-time analyses in educational testing
YH Lee, H Chen - Psychological Test and Assessment Modeling, 2011 - academia.edu
The use of computer-based assessments in educational testing allows researchers to collect
response times at a large scale for each test taker in standardized operational settings. The …
response times at a large scale for each test taker in standardized operational settings. The …
[图书][B] Handbook of item response theory
WJ Van der Linden, RK Hambleton - 2015 - api.taylorfrancis.com
Item response theory (IRT) has its origins in pioneering work by Louis Thurstone in the
1920s, a handful of authors such as Lawley, Mosier, and Richardson in the 1940s, and more …
1920s, a handful of authors such as Lawley, Mosier, and Richardson in the 1940s, and more …
Rapid‐guessing behavior: Its identification, interpretation, and implications
SL Wise - Educational Measurement: Issues and Practice, 2017 - Wiley Online Library
The rise of computer‐based testing has brought with it the capability to measure more
aspects of a test event than simply the answers selected or constructed by the test taker. One …
aspects of a test event than simply the answers selected or constructed by the test taker. One …
A mixture hierarchical model for response times and response accuracy
In real testing, examinees may manifest different types of test‐taking behaviours. In this
paper we focus on two types that appear to be among the more frequently occurring …
paper we focus on two types that appear to be among the more frequently occurring …
A mixture model analysis of differential item functioning
Once a differential item functioning (DIF) item has been identified, little is known about the
examinees for whom the item functions differentially. This is because DIF focuses on …
examinees for whom the item functions differentially. This is because DIF focuses on …
Applications of mixture IRT models: A literature review
Mixture item response theory (MixIRT) models combine IRT models with latent class model
and assume that there exist latent subpopulations in the data. Identification of latent …
and assume that there exist latent subpopulations in the data. Identification of latent …
Model selection methods for mixture dichotomous IRT models
This study examines model selection indices for use with dichotomous mixture item
response theory (IRT) models. Five indices are considered: Akaike's information coefficient …
response theory (IRT) models. Five indices are considered: Akaike's information coefficient …
Using response time to investigate students' test-taking behaviors in a NAEP computer-based study
Background Large-scale survey assessments have been used for decades to monitor what
students know and can do. Such assessments aim at providing group-level scores for …
students know and can do. Such assessments aim at providing group-level scores for …
Incorporating test-taking engagement into the item selection algorithm in low-stakes computerized adaptive tests
In low-stakes assessment settings, students' performance is not only influenced by students'
ability level but also their test-taking engagement. In computerized adaptive tests (CATs) …
ability level but also their test-taking engagement. In computerized adaptive tests (CATs) …
Assessing fit of unidimensional item response theory models using a Bayesian approach
S Sinharay - Journal of Educational Measurement, 2005 - Wiley Online Library
Even though Bayesian estimation has recently become quite popular in item response
theory (IRT), there is a lack of works on model checking from a Bayesian perspective. This …
theory (IRT), there is a lack of works on model checking from a Bayesian perspective. This …