Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 21 |
Descriptor
Error of Measurement | 28 |
Measurement | 28 |
Measurement Techniques | 28 |
Evaluation Methods | 8 |
Models | 7 |
Correlation | 6 |
Scores | 6 |
Statistical Analysis | 6 |
Academic Achievement | 5 |
Educational Assessment | 5 |
Educational Policy | 5 |
More ▼ |
Source
Author
Loeb, Susanna | 2 |
Seixas, T. M. | 2 |
da Silva, M. A. Salgueiro | 2 |
Allanson, Patricia E. | 1 |
Andon, Anabelle | 1 |
Blasiak, Wladyslaw | 1 |
Boyd, Don | 1 |
Boyd, Donald | 1 |
Brennan, Robert L. | 1 |
Cai, Li | 1 |
Chen, Chia-ling | 1 |
More ▼ |
Publication Type
Journal Articles | 21 |
Reports - Descriptive | 10 |
Reports - Research | 9 |
Reports - Evaluative | 7 |
Guides - Classroom - Teacher | 1 |
Guides - Non-Classroom | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Elementary Secondary Education | 6 |
Higher Education | 3 |
Adult Education | 2 |
Postsecondary Education | 2 |
Early Childhood Education | 1 |
Preschool Education | 1 |
Audience
Practitioners | 2 |
Teachers | 2 |
Researchers | 1 |
Location
California | 2 |
New York | 2 |
Africa | 1 |
Burkina Faso | 1 |
Illinois | 1 |
New Jersey | 1 |
North Carolina | 1 |
Portugal | 1 |
Tennessee | 1 |
Texas | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Early Childhood Longitudinal… | 1 |
What Works Clearinghouse Rating
Raykov, Tenko; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2023
This article outlines a readily applicable procedure for point and interval estimation of the population discrepancy between reliability and the popular Cronbach's coefficient alpha for unidimensional multi-component measuring instruments with uncorrelated errors, which are widely used in behavioral and social research. The method is developed…
Descriptors: Measurement, Test Reliability, Measurement Techniques, Error of Measurement
Rew, W. Joshua; Andon, Anabelle; Luschei, Thomas F. – Large-scale Assessments in Education, 2022
Background: We examine the sensitivity of the Heyneman-Loxley Effect to the influence of an error-prone family background measure in 15 education systems from Southern and Eastern Africa. Our aim is to revisit a claim by Abby Riddell from the November 1989 issue of the "Comparative Education Review" concerning the reliability of family…
Descriptors: Foreign Countries, Family Characteristics, Background, Academic Achievement
Allanson, Patricia E.; Notar, Charles E. – Education Quarterly Reviews, 2020
This article discusses the basics of the "4 scales of measurement" and how they are applicable to research or everyday tools of life. To do this you will be able to list and describe the four types of scales of measurement used in quantitative research; provide examples of uses of the four scales of measurement; and determine the…
Descriptors: Statistical Analysis, Measurement, Statistics, Qualitative Research
Perea Martins, J. E. M. – Physics Education, 2019
This work proposes simple experiments to introduce some fundamental concepts of the measurement area. It associates theory and practice through a strategy where the students create a real temperature data set with an Arduino board and three LM35DZ sensors and later use mathematical software to identify theoretical concepts as measurement accuracy…
Descriptors: Scientific Concepts, Accuracy, Climate, Science Experiments
Ford, Andrea L. B.; Johnson, LeAnne D. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: A myriad features can impact the nature, frequency, and length of adult-child interactions important for language learning. Empirical investigations of language learning opportunities for young children with autism spectrum disorder (ASD) provide limited generalizable insight, with inferences more constrained to the sample than is often…
Descriptors: Autism, Pervasive Developmental Disorders, Preschool Children, Measurement Techniques
da Silva, M. A. Salgueiro; Seixas, T. M. – Physics Teacher, 2017
Measuring one physical quantity as a function of another often requires making some choices prior to the measurement process. Two of these choices are: the data range where measurements should focus and the number (n) of data points to acquire in the chosen data range. Here, we consider data range as the interval of variation of the independent…
Descriptors: Physics, Regression (Statistics), Measurement, Measurement Techniques
Seixas, T. M.; da Silva, M. A. Salgueiro – Physics Teacher, 2015
When conducting experiments involving the measurement of physically related quantities, choosing an appropriate spacing for the experimental independent variable is a crucial procedure whose consequences may go beyond data graphical visualization. This is particularly true if the measured quantities are nonlinearly related and experimental errors…
Descriptors: Measurement, Data, Error of Measurement, Intervals
Chen, Chia-ling; Shen, I-hsuan; Chen, Chung-yao; Wu, Ching-yi; Liu, Wen-Yu; Chung, Chia-ying – Research in Developmental Disabilities: A Multidisciplinary Journal, 2013
This study examined criterion-related validity and clinimetric properties of the pediatric balance scale ("PBS") in children with cerebral palsy (CP). Forty-five children with CP (age range: 19-77 months) and their parents participated in this study. At baseline and at follow up, Pearson correlation coefficients were used to determine…
Descriptors: Measurement, Measures (Individuals), Correlation, Cerebral Palsy
Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M. – Grantee Submission, 2016
Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…
Descriptors: Psychology, Measurement, Error of Measurement, Measurement Objectives
Liaw, Lih-Jiun; Hsieh, Ching-Lin; Hsu, Miao-Ju; Chen, Hui-Mei; Lin, Jau-Hong; Lo, Sing-Kai – International Journal of Rehabilitation Research, 2012
The aim of this study is to determine the test-retest reproducibility of the seven-item Short-Form Berg Balance Scale (SFBBS) and the five-item Short-Form Postural Assessment Scale for Stroke Patients (SFPASS) in individuals with chronic stroke. Fifty-two chronic stroke patients from two rehabilitation departments were included in the study. Both…
Descriptors: Measurement, Measures (Individuals), Correlation, Patients
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Grimm, Michael – Economics of Education Review, 2011
Household income has been shown to matter for children's school enrolment, in particular in settings where households face tight liquidity constraints caused by the lack of insurance and limited possibilities to smooth consumption through credit and savings. However, so far only few studies have made an effort to quantify the income elasticity of…
Descriptors: Foreign Countries, Developing Nations, Children, Enrollment
Harris, Douglas N. – Policy Analysis for California Education, PACE (NJ3), 2010
In this policy brief, the author explores the problems with attainment measures when it comes to evaluating performance at the school level, and explores the best uses of value-added measures. These value-added measures, the author writes, are useful for sorting out-of-school influences from school influences or from teacher performance, giving…
Descriptors: Principals, Observation, Teacher Evaluation, Measurement Techniques
Wu, Margaret – Educational Measurement: Issues and Practice, 2010
In large-scale assessments, such as state-wide testing programs, national sample-based assessments, and international comparative studies, there are many steps involved in the measurement and reporting of student achievement. There are always sources of inaccuracies in each of the steps. It is of interest to identify the source and magnitude of…
Descriptors: Testing Programs, Educational Assessment, Measures (Individuals), Program Effectiveness
Boyd, Don; Grossman, Pam; Lankford, Hamp; Loeb, Susanna; Wyckoff, Jim – National Center for Analysis of Longitudinal Data in Education Research, 2008
The use of value-added models in education research has expanded rapidly. These models allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. An important question is whether such effects are sufficiently large to achieve various policy goals. Judging whether a change in…
Descriptors: Academic Achievement, Measures (Individuals), Measurement, Error of Measurement
Previous Page | Next Page ยป
Pages: 1 | 2