This study attempts to demonstrate how alternate forms of assessment involving a diagnostic approach could be used in the context of IRT applications. The items were written in clusters of 3 based on a narrowly defined common content area in the area of microeconomics. Each cluster consists of items testing progressively higher Bloom's cognitive levels. Due to context effects, the item clusters cannot be analysed using standard 1-, 2-or 3-Parameter Logistic models. Instead, the Rating Scale Model is used. The study demonstrates in detail, the manner in which examinees respond to items testing different cognitive levels based on item thresholds. Diagnostic and remedial implications for the use of testlets are discussed.Master of Educatio
Item response theory (IRT) is a collection of statistical models that used for development, evaluati...
Psychology can be separated into two camps, a substantive camp that is primarily interested in under...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Abstract—Although Classical Test Theory has been used by the measurement community for almost a cent...
This three-paper dissertation explores item cluster-based assessments, first in general as it relate...
Cognitive diagnosis models (see, e.g., Rupp, Templin, & Henson, 2010) have received increasing a...
The 18-item Need for Cognition Scale (NFC-18) is the most commonly used tool to measure the need for...
The cognitive reflection test (CRT) is a short measure of a person's ability to resist intuitive res...
Item response theory (IRT) has become a popular methodological framework for modeling response data ...
In a typical questionnaire testing situation, examinees are not allowed to choose which items they a...
Item response theory (IRT) seeks to model the way in which latent psychological con-structs manifest...
Item response theory (IRT) is widely used in educational and psychological research to model how par...
Item response theory (IRT) has become a popular methodological framework for modeling response data ...
Item response theory (IRT) is a collection of statistical models that used for development, evaluati...
Psychology can be separated into two camps, a substantive camp that is primarily interested in under...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Abstract—Although Classical Test Theory has been used by the measurement community for almost a cent...
This three-paper dissertation explores item cluster-based assessments, first in general as it relate...
Cognitive diagnosis models (see, e.g., Rupp, Templin, & Henson, 2010) have received increasing a...
The 18-item Need for Cognition Scale (NFC-18) is the most commonly used tool to measure the need for...
The cognitive reflection test (CRT) is a short measure of a person's ability to resist intuitive res...
Item response theory (IRT) has become a popular methodological framework for modeling response data ...
In a typical questionnaire testing situation, examinees are not allowed to choose which items they a...
Item response theory (IRT) seeks to model the way in which latent psychological con-structs manifest...
Item response theory (IRT) is widely used in educational and psychological research to model how par...
Item response theory (IRT) has become a popular methodological framework for modeling response data ...
Item response theory (IRT) is a collection of statistical models that used for development, evaluati...
Psychology can be separated into two camps, a substantive camp that is primarily interested in under...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...