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Eli Ben-Michael; Lindsay Page; Luke Keele – Grantee Submission, 2024
In a clustered observational study, a treatment is assigned to groups and all units within the group are exposed to the treatment. We develop a new method for statistical adjustment in clustered observational studies using approximate balancing weights, a generalization of inverse propensity score weights that solve a convex optimization problem…
Descriptors: Research Design, Statistical Data, Multivariate Analysis, Observation
Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
Franses, Philip Hans – Creativity Research Journal, 2016
This Research Note shows that classic composers created their best works when they were at a similar age when creators in other domains did their best work, namely when they were at an age that represented around 60% of their life span. This finding is very similar to earlier results for painters and authors.
Descriptors: Musical Composition, Classical Music, Creativity, Age
McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to 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 referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2016. Highlights include: (1) In-training as at 30 September 2016--There were 278,500 apprentices and trainees in-training as of 30 September 2016, a decrease of 5.7% from 30 September 2015; (2) Quarterly training activity--In the…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to 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 referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This document covers the data terms used in publications sourced from the National Apprentice and Trainee Collection and their associated data tables. The primary purpose of this document is to assist users of the publications to understand the specific data terms used within them. Terms are listed in alphabetical order with the following…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2016. The figures in this publication are derived from the National Apprentice and Trainee Collection no.91 (March 2017 estimates). The most recent figures in this publication are estimated (that is, for training activity from the June…
Descriptors: Apprenticeships, Trainees, Vocational Education, Statistical Data