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Alarcón, Jeannette; Chauvot, Jennifer – Teacher Educator, 2023
Teacher educators must embody an equity-focused orientation when working with preservice teachers. The article shares insights gained from a quantitative exercise as part of a critical autoethnography project. We situate this project as professional development for two teacher education researchers. The goals were to deepen knowledge of and…
Descriptors: Teacher Education, Teacher Researchers, Educational Research, Teacher Educators
Qian Zhang; Qi Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders between the mediator (M) and outcome (Y), we described two approaches. When researchers are confident that primary confounders are included (e.g.,…
Descriptors: Error of Measurement, Research and Development, Mediation Theory, Causal Models
Pacewicz, Christine E.; Myers, Nicholas D. – Measurement in Physical Education and Exercise Science, 2021
Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the…
Descriptors: Exercise Physiology, Longitudinal Studies, Statistical Analysis, Change
Lane, Sean P.; Kelleher, Bridgette L. – Developmental Psychology, 2023
Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement…
Descriptors: Longitudinal Studies, Child Development, Hierarchical Linear Modeling, Research Design
Bufford, Teresa; Aralis, Hilary; Kataoka, Sheryl; Lee, Sung-Jae; Lavelle Trinh, Carla; Lester, Patricia – Prevention Science, 2023
Evidence-based health interventions are frequently translated into real-world settings where practical needs drive changes to intervention protocols. Due to logistical and resource constraints, these naturally arising adaptations are rarely assessed for comparative effectiveness using a randomized trial. Nevertheless, when observational data are…
Descriptors: Statistical Analysis, Intervention, Program Evaluation, Resilience (Psychology)
McKay, Brad; Bacelar, Mariane F. B.; Carter, Michael J. – Journal of Motor Learning and Development, 2023
Recent metascience suggests that motor behavior research may be underpowered, on average. Researchers can perform a priori power analyses to ensure adequately powered studies. However, there are common pitfalls that can result in underestimating the required sample size for a given design and effect size of interest. Critical evaluation of power…
Descriptors: Statistical Analysis, Psychomotor Skills, Motor Development, Research Design
Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
McKay, Brad; Corson, Abbey; Vinh, Mary-Anne; Jeyarajan, Gianna; Tandon, Chitrini; Brooks, Hugh; Hubley, Julie; Carter, Michael J. – Journal of Motor Learning and Development, 2023
A priori power analyses can ensure studies are unlikely to miss interesting effects. Recent metascience has suggested that kinesiology research may be underpowered and selectively reported. Here, we examined whether power analyses are being used to ensure informative studies in motor behavior. We reviewed every article published in three motor…
Descriptors: Incidence, Statistical Analysis, Psychomotor Skills, Motor Development
Edgerly, Hallie S.; Kruse, Jerrid W.; Wilcox, Jesse L. – Research in Science Education, 2022
Many nature of science (NOS) studies have demonstrated that teachers can improve their understandings of NOS with explicit and reflective instruction; however, the field has relied heavily on qualitative methods. Because qualitative studies can be difficult to compare across studies and contexts, our study sought to determine if a quantitative…
Descriptors: Statistical Analysis, Elementary School Teachers, Teacher Attitudes, Scientific Attitudes
Smare, Zaina; Elfatihi, Mohamed – Issues in Educational Research, 2023
This article reviews the methodologies used in 76 empirical studies conducted on creative thinking in primary school education and published between 2011 and 2021. The studies were analysed for their context, foci of investigation and the methodologies used. Each study was coded and analysed quantitatively and qualitatively. The findings are…
Descriptors: Research Methodology, Creative Thinking, Foreign Countries, Elementary Education
Balestrini, Daniel Patrick; Stoeger, Heidrun; Ziegler, Albert – High Ability Studies, 2023
The authors introduce readers to quantitative text analysis and its potential for analyzing text-based nonreactive measures as a means of broadening the evidential basis within research on giftedness and talent. After defining quantitative text analysis and describing how it can augment survey studies for analyses at individual and cultural…
Descriptors: Statistical Analysis, Gifted, Talent Development, Gifted Education
Nuria Real-Brioso; Eduardo Estrada; Pablo F. Cáncer – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has investigated whether univariate developmental processes can be characterized with data obtained from ALDs. However, many important questions in…
Descriptors: Longitudinal Studies, Psychology, Cognitive Development, Brain Hemisphere Functions
John J. Posillico; David J. Edwards – Industry and Higher Education, 2024
Purpose: Higher education curriculum development in the construction industry has historically received scant academic attention and often, courses/programmes are largely developed using the tacit knowledge of individual tutors. This research investigates the core interpersonal and technical skills and competencies required of a contemporary…
Descriptors: Physical Environment, Construction Management, Higher Education, Curriculum Development
Bradley, Holly; Smith, Beth A.; Wilson, Rujuta B. – Infant and Child Development, 2023
Joint attention (JA) is the purposeful coordination of an individual's focus of attention with that of another and begins to develop within the first year of life. Delayed, or atypically developing, JA is an early behavioural sign of many developmental disabilities and so assessing JA in infancy can improve our understanding of trajectories of…
Descriptors: Attention, Infants, Child Development, Qualitative Research
Resolving Dimensionality in a Child Assessment Tool: An Application of the Multilevel Bifactor Model
Akaeze, Hope O.; Lawrence, Frank R.; Wu, Jamie Heng-Chieh – Educational and Psychological Measurement, 2023
Multidimensionality and hierarchical data structure are common in assessment data. These design features, if not accounted for, can threaten the validity of the results and inferences generated from factor analysis, a method frequently employed to assess test dimensionality. In this article, we describe and demonstrate the application of the…
Descriptors: Measures (Individuals), Multidimensional Scaling, Tests, Hierarchical Linear Modeling