The study estimated the difficulty, discrimination, and vulnerability to guessing 2016 National Examination Council (NECO) Mathematics multiple-choice test items. The study employed an ex-post facto design with 276,338 samples. The research instruments used for the study were Optical Marks Record Sheets for the NECO June/July 2016 Mathematics objectives items. The responses of the testees were scored dichotomously. Data collected were calibrated using four parameters logistic model. The results showed that most items in the 2016 NECO Mathematics test were good as their difficulty parameters were within (-2 to 2). For those items, difficulty parameter estimates are considered good. Also, the results indicated that only 21.7% of 2016 NECO Mat...
This study was based on the assessment of model fit for 2016 and 2017 Biology multiple choice test i...
This paper investigated the psychometric properties of Mathematics examinations conducted by four ex...
this study used Item Response Theory-Item characteristic Curve approach to detect item bias in a 60-...
The study estimated the difficulty, discrimination, and vulnerability to guessing 2016 National Exam...
The study determined if the 1PL, 2PL, 3PL and 4PL item response theory models best fit the data from...
This study examined the nature of item bias on students’ performance in 2017 National Examinations C...
In this study, we analysed the reflections of item difficulty parameters on item characteristic curv...
The study investigated test lengths and sample sizes in the accurate and stable estimation of item-d...
The study compared Classical Test Theory (CTT) and Item Response Theory (IRT)-estimated item difficu...
Testing is essential in education and other behavioural science fields because many decisions and po...
Traditionally, multiple-choice test items(MCIs) have been written with four or five response options...
This study aims to determine the item response theory model which is more accurate in estimating stu...
The multiple-choice test is a common test format used in education. One of the purposes of this test...
This study determined which of the Confidence Scoring Method (CSM) and Logical-choice Weight Method ...
This study investigated gender-related differential items functioning in multiple-choice mathematics...
This study was based on the assessment of model fit for 2016 and 2017 Biology multiple choice test i...
This paper investigated the psychometric properties of Mathematics examinations conducted by four ex...
this study used Item Response Theory-Item characteristic Curve approach to detect item bias in a 60-...
The study estimated the difficulty, discrimination, and vulnerability to guessing 2016 National Exam...
The study determined if the 1PL, 2PL, 3PL and 4PL item response theory models best fit the data from...
This study examined the nature of item bias on students’ performance in 2017 National Examinations C...
In this study, we analysed the reflections of item difficulty parameters on item characteristic curv...
The study investigated test lengths and sample sizes in the accurate and stable estimation of item-d...
The study compared Classical Test Theory (CTT) and Item Response Theory (IRT)-estimated item difficu...
Testing is essential in education and other behavioural science fields because many decisions and po...
Traditionally, multiple-choice test items(MCIs) have been written with four or five response options...
This study aims to determine the item response theory model which is more accurate in estimating stu...
The multiple-choice test is a common test format used in education. One of the purposes of this test...
This study determined which of the Confidence Scoring Method (CSM) and Logical-choice Weight Method ...
This study investigated gender-related differential items functioning in multiple-choice mathematics...
This study was based on the assessment of model fit for 2016 and 2017 Biology multiple choice test i...
This paper investigated the psychometric properties of Mathematics examinations conducted by four ex...
this study used Item Response Theory-Item characteristic Curve approach to detect item bias in a 60-...