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Shelley Halverson; Greg Maughan – Learning Professional, 2024
Many evaluation systems feel like a series of hoops to jump through. Some require goal setting, some require elaborate data collection, and some are a little of both. Regardless of role, it often becomes a box-checking exercise and not a reflective, meaningful process that engenders growth for those engaged in it. In the small rural district of…
Descriptors: Principals, Administrator Evaluation, Rural Schools, Communities of Practice
Gamon Savatsomboon; Prasert Ruannakarn; Phamornpun Yurayat; Ong-art Chanprasitchai; Jibon Kumar Sharma Leihaothabam – European Journal of Psychology and Educational Research, 2024
Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be…
Descriptors: Educational Psychology, Multivariate Analysis, Evaluation Methods, Data Processing
Ismail Cuhadar; Ömür Kaya Kalkan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…
Descriptors: Predictor Variables, Structural Equation Models, Sample Size, Evaluation Methods
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
James Ohisei Uanhoro – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…
Descriptors: Bayesian Statistics, Structural Equation Models, Correlation, Monte Carlo Methods
Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
Paulina Gomez; Carolyn Sutter – Journal of School Health, 2024
Background: This paper presents the process taken by a nonprofit educational organization to create authentic evaluation tools for Food Education in K-12 schools. Development was a collaborative effort between organization staff and teachers during an Evaluation Summit. The program background, development of the Summit, and plans for post-Summit…
Descriptors: Performance Based Assessment, Food, Elementary Secondary Education, Foods Instruction
Edward Karl Schultz; Tammy Stephens; Pedro Olvera – Contemporary School Psychology, 2024
The specific learning disabilities (SLD) identification literature is replete with competing narratives concerning the advantages and disadvantages of various techniques and methods. Until a widely accepted and empirically proven SLD identification methodology is universally supported, evaluators should seek to improve the existing alternatives.…
Descriptors: Learning Disabilities, Identification, Intellectual Development, Evaluation Methods
Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
California Commission on Teacher Credentialing, 2024
This report presents a summary of the vast array of activities that comprised the 2023-2024 accreditation year for all Commission approved educator preparation programs. Currently, there are 252 Commission approved program sponsors offering 933 different and active educator preparation programs and many of those are offered through various…
Descriptors: Teacher Education, Accreditation (Institutions), Standards, Quality Assurance
Emily C. Shepard; Mollie Ruben; Lisa L. Weyandt – Journal of Attention Disorders, 2025
Objective: The aim of the present systematic review was to consolidate findings related to emotion recognition accuracy among individuals with attention deficit hyperactivity disorder (ADHD). The review also examined emotion recognition accuracy assessment methods as well as the contribution of gender to emotional recognition accuracy. Method: A…
Descriptors: Attention Deficit Hyperactivity Disorder, Psychological Patterns, Gender Differences, Recognition (Psychology)
Yinying Wang; Joonkil Ahn – Educational Management Administration & Leadership, 2025
School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching…
Descriptors: Network Analysis, Construct Validity, Content Validity, Instructional Leadership
John A. Jimenez-Garcia; Chanelle Montpetit; Richard DeMont – Measurement in Physical Education and Exercise Science, 2024
The Child Focused Injury Risk Screening Tool (ChildFIRST) aims to measure movement competence and lower-limb-injury risk in 8-12-year-old children. Although the ChildFIRST has face and content validity evidence, stronger validity evidence is warranted. We tested the concurrent validity of the ChildFIRST using motion analysis, and the convergent…
Descriptors: Preadolescents, Kinesiology, Risk Assessment, Human Body
Ursula Podobnik; Janez Jerman; Jurij Selan – International Journal of Early Years Education, 2024
Child's understanding and intentions are not always easy to read in drawings. This is particularly evident in the type of drawings we refer to as 'analytical drawings'. In order to understand analytical drawings made by preschool children, it is important to have a dialogue with the young authors. In our study, we examined the ability of students…
Descriptors: Preschool Children, Freehand Drawing, Foreign Countries, Evaluation Methods
Nathan A. Call; Alec M. Bernstein; Matthew J. O'Brien; Kelly M. Schieltz; Loukia Tsami; Dorothea C. Lerman; Wendy K. Berg; Scott D. Lindgren; Mark A. Connelly; David P. Wacker – Journal of Applied Behavior Analysis, 2024
Clinicians report primarily using functional behavioral assessment (FBA) methods that do not include functional analyses. However, studies examining the correspondence between functional analyses and other types of FBAs have produced inconsistent results. In addition, although functional analyses are considered the gold standard, their…
Descriptors: Functional Behavioral Assessment, Evaluation Methods, Young Children, Autism Spectrum Disorders