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Debeer, Dries; Buchholz, Janine; Hartig, Johannes; Janssen, Rianne – Journal of Educational and Behavioral Statistics, 2014
In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…
Descriptors: Reading Tests, International Programs, Testing Programs, Individual Differences
Saaristo-Helin, Katri – Language and Speech, 2009
This study applies the Phonological Mean Length of Utterance measurement (PMLU; Ingram & Ingram, 2001; Ingram, 2002) to the data of five children acquiring Finnish and evaluates their phonological development longitudinally at four different age points: 2;0, 2;6, 3;0, and 3;6. The children's results on PMLU and related measures are discussed…
Descriptors: Phonemes, Phonology, Individual Differences, Followup Studies

Lonka, K.; Lindblom-Ylanne, S. – Higher Education, 1996
A survey of Finnish freshman and fifth-year students in psychology (n=59) and medicine (n=116) found that older psychology students tended toward a constructivist conception of learning, while medical students saw learning as intake of knowledge. More freshman students, especially medical students, were dualist in approach. Four components were…
Descriptors: Age Differences, College Freshmen, College Seniors, College Students
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection