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Lentz, Jennifer J.; He, Yuan – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The goal of this study was to establish the perceptual underpinnings of the terms that are commonly used by patients when describing the quality of their tinnitus. Method: Using a free-classification method, 15 subjects with normal hearing placed 60 different tinnitus-like sounds into similarity clusters on a grid. Multidimensional…
Descriptors: Auditory Perception, Patients, Classification, Acoustics
Lin, Huimei; Qian, Yangyi; Wen, Jinju; Mai, Yuhua – Journal of Baltic Science Education, 2022
This research aimed to explore the upper-secondary school chemistry teachers' and students' conceptual structures of atomic structure by using multidimensional scaling. Atomic structure is considered to be one of the most difficult concepts in upper-secondary school chemistry course so that the conceptual structure regarding atomic structure held…
Descriptors: Secondary School Students, Science Education, Scientific Concepts, Evaluation Criteria
de la Torre, Eva M.; Casani, Fernando; Sagarra, Marti – Research Evaluation, 2018
Universities are organizational structures with individual activity mixes or strategies that lead to different performance levels by mission. Evaluation techniques based on performance indicators or rankings risk rewarding just a specific type of university and undermining university diversification: they usually introduce homogenizing pressures…
Descriptors: Classification, Universities, Institutional Characteristics, Institutional Mission
Choi, In-Hee; Wilson, Mark – Educational and Psychological Measurement, 2015
An essential feature of the linear logistic test model (LLTM) is that item difficulties are explained using item design properties. By taking advantage of this explanatory aspect of the LLTM, in a mixture extension of the LLTM, the meaning of latent classes is specified by how item properties affect item difficulties within each class. To improve…
Descriptors: Classification, Test Items, Difficulty Level, Statistical Analysis
Joo, Soohyung; Kipp, Margaret E. I. – Information Research: An International Electronic Journal, 2015
Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…
Descriptors: Web Sites, Library Science, Information Science, Multivariate Analysis
Dare, Alec; Dare, Lynn; Nowicki, Elizabeth – Social Psychology of Education: An International Journal, 2017
High-ability students have special education needs that are often overlooked or misunderstood (Blaas in "Aust J Guid Couns" 24(2):243-255, 2014) which may result in talent loss (Saha and Sikora in "Int J Contemp Sociol Discuss J Contemp Ideas Res" 48(1):9-34, 2011). Educational acceleration can help avoid these circumstances…
Descriptors: Student Motivation, Comparative Analysis, Teacher Attitudes, Student Attitudes
Nowicki, Elizabeth A.; Brown, Jason; Stepien, Magdalena – Journal of Mixed Methods Research, 2014
Elementary school children between 9 and 12 years of age were interviewed on what they believed to be the causes of learning difficulties and were invited to take part in the analysis of the data. We achieved this with Trochim's concept mapping approach that combines qualitative and quantitative data analyses. Study results indicated that children…
Descriptors: Foreign Countries, Elementary School Students, Learning Problems, Student Attitudes
Sun, Pei Chen; Finger, Glenn; Liu, Zhen Lan – Education Sciences, 2014
While there have been very limited studies of the educational computing literature to analyze the research trends since the early emergence of educational computing technologies, the authors argue that it is important for both researchers and educators to understand the major, historical educational computing trends in order to inform…
Descriptors: Electronic Learning, Educational Technology, Educational Trends, Educational History
Hout, Michael C.; Goldinger, Stephen D.; Ferguson, Ryan W. – Journal of Experimental Psychology: General, 2013
Although traditional methods to collect similarity data (for multidimensional scaling [MDS]) are robust, they share a key shortcoming. Specifically, the possible pairwise comparisons in any set of objects grow rapidly as a function of set size. This leads to lengthy experimental protocols, or procedures that involve scaling stimulus subsets. We…
Descriptors: Visual Stimuli, Research Methodology, Problem Solving, Multidimensional Scaling
Moolenaar, Nienke M.; Sleegers, Peter J. C.; Karsten, Sjoerd; Daly, Alan J. – Educational Studies, 2012
While researchers are currently studying various forms of social network interaction among teachers for their impact on educational policy implementation and practice, knowledge on how various types of networks are interrelated is limited. The goal of this study is to understand the dimensionality that may underlie various types of social networks…
Descriptors: Educational Policy, Interpersonal Relationship, Elementary School Teachers, Teacher Collaboration
Pallini, Susanna; Bove, Giuseppe; Laghi, Fiorenzo – Measurement and Evaluation in Counseling and Development, 2011
This study applies a multidimensional scaling (MSD) technique to investigate the structural validity of the Work Values Inventory for Adolescents with a sample of Italian students. The MSD results indicated the presence of two underlying orthogonal dimensions: individuality versus sociality and conservation versus exploration. Implications for…
Descriptors: Adolescents, Multidimensional Scaling, Measures (Individuals), Foreign Countries
Jiang, Hua; Li, Xiaobin – Journal of International Education and Leadership, 2012
With approximately 30 million students the Chinese higher education system is the largest in the world. In every publicly funded institution there is a communist party secretary, however, little is known about these party secretaries. The purpose of the study was to understand who these people were. We collected data from 1,751 party secretaries…
Descriptors: Foreign Countries, Politics, Administrators, Higher Education
Verhelst, Norman D. – Scandinavian Journal of Educational Research, 2012
When using IRT models in Educational Achievement Testing, the model is as a rule too simple to catch all the relevant dimensions in the test. It is argued that a simple model may nevertheless be useful but that it can be complemented with additional analyses. Such an analysis, called profile analysis, is proposed and applied to the reading data of…
Descriptors: Multidimensional Scaling, Profiles, Item Response Theory, Achievement Tests
McConnell, William; Marton, John P. – Psychology Learning and Teaching, 2013
In an attempt to influence students' appreciation of the value of research, the authors introduced a multidimensional scaling activity in a section of introductory psychology. In two consecutive 80-minute classes, 32 students worked in pairs, categorizing 20 crimes on the basis of similarity and coding their partner's responses, and then worked in…
Descriptors: Introductory Courses, Psychology, Research Skills, Multidimensional Scaling
Archila-Suerte, Pilar; Zevin, Jason; Bunta, Ferenc; Hernandez, Arturo E. – Bilingualism: Language and Cognition, 2012
Sensorimotor processing in children and higher-cognitive processing in adults could determine how non-native phonemes are acquired. This study investigates how age-of-acquisition (AOA) and proficiency-level (PL) predict native-like perception of statistically dissociated L2 categories, i.e., within-category and between-category. In a similarity…
Descriptors: Phonemes, Research Methodology, Multidimensional Scaling, Classification