In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…

This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…

The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…

Intelligent Tutoring Systems (ITS) are computer-based learning environments that aim to imitate to the greatest possible extent the behavior of a human tutor in their capacity as a pedagogical and subject expert. One of the major challenges of these systems is to know how to adapt the training both to changing requirements of all kinds and to…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Identifying mediators in variable chains as part of a causal mediation analysis can shed light on issues of causation, assessment, and intervention. However, coefficients and effect sizes in a causal mediation analysis are nearly always small. This can lead those less familiar with the approach to reject the results of causal mediation analysis.…

This study investigated whether higher maternal psychological distress, lower provision of psychosocial stimulation and a negative appraisal of parenting experience were associated with lower cognitive, motor, social-emotional and adaptive behaviour development in children under 3 years of age in Kenya. A cross-sectional design was used, with 81…

The aim of this study is to investigate the blind and constructive patriotism tendencies of university students in light of the demographic structure and variables. The investigation is performed by using the correlational descriptive model. The purposeful sampling technique has been used and data was collected from a total of 390 university…

Introduction: The aim of this study was to analyze the relationship between sociometric types, behavioral categories and self-attributions for academic failure ("Ability", "Effort" or "External Causes") in "Reading", "Mathematics" and "General". Method: The total sample was composed of…

This study examined global competence of Chinese international students sojourning in a non-Anglophone European country as a mediator between foreign language proficiency (i.e., English and local language) and social and academic adaptation, and social connectedness in international community. A sample of 206 Chinese students in Belgium responded…