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Hansen, Bruce E. – Journal of Economic Education, 2017
The field of econometrics largely started with time series analysis because many early datasets were time-series macroeconomic data. As the field developed, more cross-sectional and longitudinal datasets were collected, which today dominate the majority of academic empirical research. In nonacademic (private sector, central bank, and governmental)…
Descriptors: Economics, Economics Education, Undergraduate Students, College Instruction
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Gingerich, Andrea; Ramlo, Susan E.; van der Vleuten, Cees P. M.; Eva, Kevin W.; Regehr, Glenn – Advances in Health Sciences Education, 2017
Whenever multiple observers provide ratings, even of the same performance, inter-rater variation is prevalent. The resulting "idiosyncratic rater variance" is considered to be unusable error of measurement in psychometric models and is a threat to the defensibility of our assessments. Prior studies of inter-rater variation in clinical…
Descriptors: Interrater Reliability, Error of Measurement, Psychometrics, Q Methodology
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Finch, Holmes – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
Multilevel models (MLMs) have proven themselves to be very useful in social science research, as data from a variety of sources is sampled such that individuals at level-1 are nested within clusters such as schools, hospitals, counseling centers, and business entities at level-2. MLMs using restricted maximum likelihood estimation (REML) provide…
Descriptors: Hierarchical Linear Modeling, Comparative Analysis, Computation, Robustness (Statistics)
Dogucu, Mine – ProQuest LLC, 2017
When researchers fit statistical models to multiply imputed datasets, they have to fit the model separately for each imputed dataset. Since there are multiple datasets, there are always multiple sets of model results. It is possible for some of these sets of results not to converge while some do converge. This study examined occurrence of such a…
Descriptors: Statistical Analysis, Error of Measurement, Goodness of Fit, Monte Carlo Methods
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Maun, Deepak; Shukla, Kathan Dushyant; Chand, Vijaya Sherry – Cogent Education, 2020
Non-cognitive competencies play critical role in education. Interventions targeted at these competencies require access to valid measures. Within Indian context, no such validated measure exists at present, and teachers depend on their subjective evaluation of students' non-cognitive competencies represented via grade or comment on report card.…
Descriptors: Test Validity, Test Reliability, Error of Measurement, Factor Analysis
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Ching, Cynthia Carter; Hagood, Danielle – Journal of Science Education and Technology, 2019
This paper connects the technological practice of activity monitor gaming to the Next Generation Science Standards (NGSS) science and engineering practice of "analyzing and interpreting data," and to the foundational constructionist idea of personal meaning. In our larger study, eighth-grade students, ages 12-14, wore physical activity…
Descriptors: Middle School Students, Grade 8, Educational Games, Academic Standards
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Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
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Noei, Nima; Imani, Iman Mohammadi; Wilson, Lee D.; Azizian, Saeid – Journal of Chemical Education, 2019
A low-cost and simple setup to measure the densities of liquids is introduced herein. The results and reliability of this setup were evaluated for pure liquids, water-ethanol binary mixtures, and aqueous NaCl solutions. The constructed densitometer provided density values with acceptable relative errors (less than ±3.0%), which were compared to…
Descriptors: Chemistry, Science Education, Science Instruction, Laboratory Experiments
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Acar, Ibrahim H.; Frohn, Scott; Prokasky, Amanda; Molfese, Victoria J.; Bates, John E. – Infant and Child Development, 2019
The study examines the concurrent and longitudinal associations between ratings-based measures (parents, secondary caregivers, and observers) and performance-based measures of focused attention in toddlers aged 30 (n = 147), 36 (n = 127), and 42 months (n = 107). Parents and secondary caregivers rated focused attention behaviours using the…
Descriptors: Toddlers, Attention Control, Correlation, Child Behavior
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Keating, Xiaofen D.; Liu, Jingwen; Liu, Xiaolu; Shangguan, Rulan; Guan, Jianmin; Chen, Li – ICHPER-SD Journal of Research, 2018
Purpose: The study aimed to determine the validity of the Fitbit Charge 2 (FC2) for measuring PA steps in college physical education settings using the Yamax SW-200 (YX) as the criterion device. Methods: Undergraduate students (n = 17) worn both FC2 and YX in two conditions (i.e., controlled and college physical education settings). The absolute…
Descriptors: Physical Fitness, Physical Education, Undergraduate Students, Measurement Equipment
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Breznau, Nate – International Journal of Social Research Methodology, 2016
In this paper, I extend the concept of observer effect into the realm of country-level secondary data analysis. When analyzing what appear to be the same secondary data using the same methods, macro-comparative researchers arrive at different results. I argue that this is a product of idiosyncratic variation directly or indirectly produced by the…
Descriptors: Observation, Error of Measurement, Data Analysis, Comparative Analysis
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Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
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Burns, Matthew K.; Taylor, Crystal N.; Warmbold-Brann, Kristy L.; Preast, June L.; Hosp, John L.; Ford, Jeremy W. – Psychology in the Schools, 2017
Intervention researchers often use curriculum-based measurement of reading fluency (CBM-R) with a brief experimental analysis (BEA) to identify an effective intervention for individual students. The current study synthesized data from 22 studies that used CBM-R data within a BEA by computing the standard error of measure (SEM) for the median data…
Descriptors: Error of Measurement, Decision Making, Reading Fluency, Curriculum Based Assessment
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Johnson, Donald M.; Shoulders, Catherine W. – Journal of Agricultural Education, 2017
As members of a profession committed to the dissemination of rigorous research pertaining to agricultural education, authors publishing in the Journal of Agricultural Education (JAE) must seek methods to evaluate and, when necessary, improve their research methods. The purpose of this study was to describe how authors of manuscripts published in…
Descriptors: Statistical Analysis, Agricultural Education, Effect Size, Risk
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