Results 251 to 260 of about 367,195 (301)
Some of the next articles are maybe not open access.
Item Response Bias in Angler Expenditures
Journal of Leisure Research, 1992Item response bias associated with the reporting of recreation-related expenditures was examined in a survey of anglers fishing in New York State.
Nancy A Connelly, Tommy L Brown
exaly +2 more sources
Investigating Item Bias in a CS1 Exam with Differential Item Functioning
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021Reliable and valid exams are a crucial part of both sound research design and trustworthy assessment of student knowledge. Assessing and addressing item bias is a crucial step in building a validity argument for any assessment instrument. Despite calls for valid assessment tools in CS, item bias is rarely investigated.
Matthew J. Davidson +3 more
openaire +1 more source
Item bias and item response theory
International Journal of Educational Research, 1989Abstract In this chapter the definition, detection, and explanation of item bias is discussed. Item bias is generally defined as conditional dependence; within the framework of item response theory the general definition implies that the item characteristic curves of two groups do not coincide.
openaire +1 more source
5 Differential Item Functioning and Item Bias
2006Publisher Summary This chapter presents a description of many of the commonly employed methods in the detection of item bias. Because much of the statistical detection of item bias makes the use of differential item functioning (DIF) procedures, the majority of this chapter focuses on the description of statistical methods for the analysis of DIF ...
Randall D. Penfield, Gregory Camilli
openaire +1 more source
The Regression BIAS Method: A Unified Approach for Detecting Item BIAS and Selection BIAS
Educational and Psychological Measurement, 1985Although several different procedures are available for detecting item bias and selection bias, there does not appear to be a single procedure for detecting both types of bias. It is proposed that the Regression Model, which is popular in selection bias research, be adopted for item bias detection, thereby providing a common framework for studying both
Nambury S. Raju, Jacques Normand
openaire +1 more source
The Journal of Experimental Education, 1985
AbstractThis brief note suggests a new method of measuring item bias. A test for item bias is also suggested that is based on standard asymptotic results.
openaire +1 more source
AbstractThis brief note suggests a new method of measuring item bias. A test for item bias is also suggested that is based on standard asymptotic results.
openaire +1 more source
AN ITERATIVE ITEM BIAS DETECTION METHOD
Journal of Educational Measurement, 1984Two strategies for assessing item bias are discussed: methods that compare (transformed) item difficulties unconditional on ability level and methods that compare the probabilities of correct response conditional on ability level. In the present study, the logit model was used to compare the probabilities of correct response to an item by members of ...
HENK VAN DER FLIER +3 more
openaire +1 more source
1986
In this paper some methodological aspects of item bias research are discussed. First, the definitions of item bias are given; it is emphasised that the conditional definition, with related conditional item bias detection methods must be preferred. Second, the conditional definition is used for designing models for simulating item bias; the results of ...
openaire +1 more source
In this paper some methodological aspects of item bias research are discussed. First, the definitions of item bias are given; it is emphasised that the conditional definition, with related conditional item bias detection methods must be preferred. Second, the conditional definition is used for designing models for simulating item bias; the results of ...
openaire +1 more source
Reducing Item-Specific Nonresponse Bias
The Journal of Experimental Education, 1978This article describes a method of dealing with partially-responded-to questionnaires in survey research which utilizes nonparametric Bayesian discriminant analysis to predict missing responses based on “profiles” of the partial and the “complete” respondents. Some background of nonresponse bias in survey research is discussed, and two other methods of
Norval F. Pohl, Albert V. Bruno
openaire +1 more source
A Procedure to Detect Item Bias Present Simultaneously in Several Items
1991Abstract : This paper presents a statistical procedure (denoted by SIB) designed to test for undirectional test bias existing simultaneously in several items of an ability test. It was argued in Shealy and Stout (1991) that in order to model such bias with an IRT model, a multidimensional model is necessary.
William Stout, Robin Shealy
openaire +1 more source