scholarly journals Ensuring Scalability of a Cognitive Multiple-Choice Test through the Mokken Package in R Programming Language

2021 ◽  
Vol 11 (12) ◽  
pp. 794
Author(s):  
Musa Adekunle Ayanwale ◽  
Mdutshekelwa Ndlovu
Keyword(s):  
Programming Language ◽  
Multiple Choice ◽  
West African ◽  
Choice Test ◽  
Statistical Computing ◽  
Multiple Choice Test ◽  
R Programming Language ◽  
Lagos State ◽  
R Programming ◽  
K 12

This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather data from randomly drawn K-12 participants (N = 2866; Male = 1232; Female = 1634; Mean age = 16.5 years) in Education District I, Lagos State, Nigeria. The results showed that the monotone homogeneity model (MHM) was consistent with the empirical dataset. However, it was observed that the test could not be scaled unidimensionally due to the low scalability of some items. In addition, the test discriminated well and had low accuracy for item-invariant ordering (IIO). Thus, items seriously violated the IIO property and scalability criteria when the HT coefficient was estimated. Consequently, the test requires modification in order to provide monotonic characteristics. This has implications for public examining bodies when endeavouring to assess the IIO assumption of their items in order to boost the validity of testing.

scholarly journals Problem of data analysis and forecasting using decision trees method

2016 ◽  
pp. 220-226
Author(s):  
T.I. Lytvynenko ◽  
Keyword(s):  
Data Analysis ◽  
Decision Tree ◽  
Data Processing ◽  
Programming Language ◽  
Statistical Computing ◽  
Software Environment ◽  
R Programming Language ◽  
Improve Accuracy ◽  
R Programming ◽  
Tree Approach

This study describes an application of the decision tree approach to the problem of data analysis and forecasting. Data processing bases on the real observations that represent sales level in the period between 2006 and 2009. R (programming language and software environment) is used as a tool for statistical computing. Paper includes comparison of the method with well-known approaches and solutions in order to improve accuracy of the gained consequences.

A Developmental Study of Intonation Recognition

1968 ◽  
Vol 11 (4) ◽  
pp. 825-832 ◽  
Author(s):  
Marilyn M. Corlew
Keyword(s):  
Significant Interaction ◽  
Multiple Choice ◽  
Semantic Content ◽  
First Grade ◽  
Choice Test ◽  
Developmental Study ◽  
Multiple Choice Test ◽  
The Third ◽  
Matching Test ◽  
Better Than

Two experiments investigated the information conveyed by intonation from speaker to listener. A multiple-choice test was devised to test the ability of 48 adults to recognize and label intonation when it was separated from all other meaning. Nine intonation contours whose labels were most agreed upon by adults were each matched with two English sentences (one with appropriate and one with inappropriate intonation and semantic content) to make a matching-test for children. The matching-test was tape-recorded and given to children in the first, third, and fifth grades (32 subjects in each grade). The first-grade children matched the intonations with significantly greater agreement than chance; but they agreed upon significantly fewer sentences than either the third or fifth graders. Some intonation contours were matched with significantly greater frequency than others. The performance of the girls was better than that of the boys on an impatient question and a simple command which indicates that there was a significant interaction between sex and intonation.

Development of a Multiple-Choice Test of Lipreading

1967 ◽  
Vol 10 (3) ◽  
pp. 565-569 ◽  
Author(s):  
Kenneth G. Donnelly ◽  
William J. A. Marshall
Keyword(s):  
Multiple Choice ◽  
Choice Test ◽  
Multiple Choice Test

Kontribusi Kecerdasan Logik dan Minat Belajar Terhadap Prestasi Belajar Matematika

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Nadun Nadun ◽  
Dian J Permana
Keyword(s):  
Mathematics Achievement ◽  
Data Collection ◽  
Multiple Regression ◽  
Statistical Methods ◽  
Significant Influence ◽  
Multiple Choice ◽  
Choice Test ◽  
Multiple Choice Test ◽  
Learning Achievement ◽  
Written Test

<p>The purpose of this study was to determine the contribution of logical intelligence and interest in learning to Mathematics achievement. The method used in this study from survey and the study was conducted in SMA Depok municipality. Techniques used in the data collection done by using a questionnaire written test multiple choice test and questionnaire. Analysis of the data in this study using descriptive statistical methods with multiple regression testing.where this research results showed in: there is a significant influence jointly between logical intelligence variables (X1) and interest in learning (X2) on mathematics achievement (Y),which means learners have a good logical <br />intelligence and has been interested in Mathematics will greatly affect the learning achievement in SMA Depok municipality</p>

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