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Sohaib Ahmad; Javid Shabbir – Measurement: Interdisciplinary Research and Perspectives, 2025
This study aims to suggest a generalized class of estimators for population proportion under simple random sampling, which uses auxiliary attributes. The bias and MSEs are considered derived to the first degree approximation. The validity of the suggested and existing estimators is assessed via an empirical investigation. The performance of…
Descriptors: Computation, Sampling, Data Collection, Data Analysis
Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
Meli, Kalliopi; Zacharos, Konstantinos; Koliopoulos, Dimitrios – Canadian Journal of Science, Mathematics and Technology Education, 2016
This article presents a case study that examines the level of integration of mathematical knowledge in physics problem solving among first grade students of upper secondary school. We explore the ways in which two specific students utilize their knowledge and we attempt to identify the epistemological framings they refer to while solving a physics…
Descriptors: Case Studies, Mathematics, Mathematics Instruction, Physics
Harvey, Brian – National Centre for Vocational Education Research (NCVER), 2009
Apprentice and trainee data are reported by the State and Territory Training Authorities to the National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are…
Descriptors: Vocational Education, Trainees, Apprenticeships, Data Collection

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