Although Goodman–Kruskal gamma (G) is used relatively rarely it has promising potential as a coefficient of association in educational settings.  Characteristics of G are studied in three sub-studies related to educational measurement settings. G appears to be unexpectedly appealing as an estimator of association between an item and a score because it strictly indicates the probability to get a correct answer in the test item given the score, and it accurately produces perfect latent association irrespective of distributions, degrees of freedom, number of tied pairs and tied values in the variables, or the difficulty levels in the items. However, it underestimates the association in an obvious manner when the number of categories in the item is more than four. Towards this, a dimension-corrected G (G2) is proposed and its characteristics are studied. Both G and G2 appear to be promising alternatives in measurement modelling settings, G with binary items and G2 with binary, polytomous and mixed datasets.

The purpose of the study is to examine pre-service teachers' impromptu speaking skills on the basis of the evaluations of the instructor, peers and their own. The study employed a descriptive case study design, one of the qualitative research methods. A total of 23 pre-service math teachers taking the course of Art of Effective Speech in a state university in Turkey in the 2016-2017 academic year participated in the study. The data of the study were collected through the observations of the researcher and pre-service teachers. Descriptive analysis was used in the analysis of the data. As a result of the study, it was found that in most of the observation items, the pre-service teachers found themselves inadequate in terms of impromptu speaking skills while they were found to be adequate by their peers and instructor. In addition, it was revealed that the pre-service teachers found themselves inadequate in some items related to the use of voice while they found themselves adequate in most of the items related to articulation/diction and body language and in all of the items related to communication. However, while the instructor observed that the pre-service teachers were generally competent in all the sub-dimensions, she determined that they needed improvement in the sub-dimensions of eye contact, pausing at the appropriate place and speaking without repeating words.  

The self-report and think-aloud approaches are the two dominant methodologies to measure metacognition. This is problematic, since they generate respondent and confirmation biases, respectively. The Meta-Performance Test is an innovative battery, which evaluates metacognition based on the respondent's performance, mitigating the aforementioned biases. The Meta-Performance Test consists of two tests, the Meta-text, which evaluates metacognition in the domain of reading comprehension, and Meta-number, in the domain of arithmetic expressions solving. The main focus of this article is to present the development of the battery, in terms of its conceptual basis, development strategies and structure. Evidence of its content validity is also presented, through the evaluation of three experts in metacognition, two experts in Spanish language, two experts in mathematics and five students who represent the target population. The results of the judges' evaluations attested to the Meta-Performance Test content validity, and the target population declared that both the battery understanding and taking are adequate. Contributions and future research perspectives of the Meta-Performance Test in the field of metacognition are discussed.

The research aims were to examine the relationship among psychological resilience, patience, and happiness levels of physical education teachers employing in İzmir, Afyonkarahisar, and Muğla provinces in the Aegean Region and was to explain whether psychological resilience and patience levels predict happiness. The research was a descriptive study in the relational scanning model. The study participants consisted of 336 PE teachers, 182 (54.2%) were males, and 154 (45.8%) were females.. The data were obtained using the Brief Resilience Scale (BRS), Patience Scale and Oxford Happiness Questionnaire. In the analysis of data were used SPSS 25 statistical program. The analysis of the data descriptive statistics, correlation, and statistical regression methods were used. As a result of the research, it was determined that the psychological resilience, patience, and happiness levels were at medium levels according to the average score the PE teachers got from the scales. It was found that there is a moderate positive relationship between PE teachers' psychological resilience, patience, and happiness levels, and psychological resilience and patience levels are a significant predictor of happiness.

Individuals’ engagement with reading and maintaining it depends on personal motivations. Having a multidimensional structure, reading motivation is affected by intrinsic factors. Studies on reading motivation can make a significant contribution to identifying students’ intrinsic motivation profiles closely, encouraging them to read, and increasing their reading engagement. The present study aimed to determine the individual and socioeconomic variables predicting middle school students’ intrinsic reading motivations. Employing the predictive correlational design, the study was carried out with 459 students attending six different public schools in the city of Sanliurfa. The participants were determined by stratified purposeful sampling method. The study data were collected by the Intrinsic Reading Motivation Scale and the Personal Information Form. According to the hierarchical regression analysis results, all the models constructed in the study were significant. All of the variables explained the intrinsic reading motivation with a 22% variance explanation percentage. As a result, it can be said that the change observed in intrinsic reading motivation variance mostly stemmed from reading engagement (ΔR²=.12), family (ΔR²=.07), demographic characteristics (ΔR²=.03), and school (ΔR²=.01), respectively. It can be stated that the predictors of the intrinsic reading motivation determined in this study should be taken into consideration by educators.

The early phase is the decisive period for the teachers’ career. Intellectual styles (particularly thinking styles) play a vital role in teachers’ professional development. With the purpose of measuring thinking styles of teachers at the early phase, this study was designed to validate a revised inventory of thinking styles (TSI-R2) for pre-service and early career teachers. A sample of pre-service teachers (n = 248) were invited to join the pilot study and a sample of teachers with one year work experience (n = 252) participated in the main study. Exploratory factor analysis, confirmatory factor analysis and reliability analysis were performed. The results suggested that with slight modification, TSI-R2 was a reliable and valid instrument to measure thinking styles of pre-service teachers and early career teachers, which has some implications to enhancing teacher education and development.

This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can guide data analysis and statistical inference, as well as pedagogy. Aspects of each phase are illustrated with examples. A key initial activity in empirical work is data scrutiny, comprising consideration of data provenance and characteristics, as well as data limitations in light of the context and purpose of the study.  Relevant auxiliary information can contribute to evaluating the CCD, as can sensitivity analyses conducted at the modeling stage. It is argued that early courses in statistical methods, and the textbooks they rely on, typically give little emphasis to, or omit entirely, discussion of the importance of data scrutiny in scientific research. This inattention and lack of guided, practical experience leaves students unprepared for the real world of empirical studies. Instructors should both cultivate in their students a true respect for data and engage them in authentic empirical research involving real data, rather than the context-free data to which they are usually exposed.

An empirical investigation of elementary school teacher candidates on classification activities dealing with animate and inanimate objects in terms of being living or non-living demonstrates that as the size of the objects increases, subjects are more likely to classify them correctly as either being an animal or having living characteristics. Despite a variety of misconceptions having an impact on the results, size magnitude is shown to play a significant role on proper classification. The subjects’ performance on these activities at an advanced stage of their preparation suggests that their factual and procedural knowledge are deficient due to a lack of opportunities for conceptual development of the items tested. The identification of the role of size on the proper classification of objects in the activities bears significantly on the science curricular structure at the elementary school level. As the results of this study indicate, both pre-service elementary school teachers and by extension their prospective students need longer practice dealing with living and non-living classification activities, particularly in tasks where the microscopic features of matter can be investigated so that the proclivity to regard size as the defining characteristic is effectively addressed.

Response times are one of the important sources that provide information about the performance of individuals during a test process. The main purpose of this study is to show that survival models can be used in educational data. Accordingly, data sets of items measuring literacy, numeracy and problem-solving skills of the countries participating in Round 3 of the Programme for the International Assessment of Adult Competencies were used. Accelerated failure time models have been analyzed for each country and domain.  As a result of the analysis of the models in which various covariates are included as independent variables, and response time for giving correct answers is included as a dependent variable, it was found the associations between the covariates and response time for giving correct answers were concluded to vary from one domain to another or from one country to another. The results obtained from the present study have provided the educational stakeholders and practitioners with valuable information.

Purpose in life is a key construct in the development of young adults, particularly college students. There are many instruments measuring sense of purpose in life, but few studies have examined their measurement properties among college students. The current study compares the measurement invariance properties of the Purpose in Life (PIL) scale and the Claremont Purpose Scale (CPS) across college year and undergraduate school. Using both a unidimensional and a two-dimensional model, we found that the PIL’s interpretability is limited among college students. Using a three-dimensional model, the CPS was invariant with respect to both grouping variables. The study suggests that the CPS can be used to make meaningful comparisons among college students categorized by school year and undergraduate school. The study also has some implications about the construct of purpose in life; namely, scale structures that work well statistically and theoretically among adults might not generalize to young adults.

This study aims to determine the opinions of high school principals on their cultural intelligence levels, to determine the activities of these principals to increase their cultural intelligence levels, the advantages of their having a high level of cultural intelligence, the factors that prevent them from increasing their cultural intelligence levels, and their suggestions to increase their cultural intelligence levels. The data obtained from the interview forms were analyzed by the content analysis method. The findings were organized and presented under themes and sub-themes. The study group of the research consisted of 40 school principals working in Mersin central districts in the 2020-2021 academic years. According to the study results; most of the participants stated that they had a high level of cultural intelligence while some participants stated that they had a low level of cultural intelligence. Regarding the activities to increase their level of cultural intelligence, principals stated that they did activities such as increasing their knowledge, going abroad, and developing social relations. The principals expressed three different opinions on the advantages of having a high level of cultural intelligence: organizational advantages, professional advantages, and individual advantages. It was determined that factors preventing principals from increasing their cultural intelligence levels were factors unrelated to principal and factors related to principal. The principals expressed two different opinions on what could be done to increase their cultural intelligence levels: The things to be done by the superiors and the things to be done the principal.

What are missing in the U.S. education policy of “college for all” are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students’ educational pathways by combining two nationally-representative U.S. sample datasets: Early Childhood Longitudinal Study- Kindergarten (ECLS-K; Kindergarten through 8th grade) and National Education Longitudinal Study (NELS; 8th grade through age 25). The merge of these national datasets, linked together via statistical matching and imputation techniques, can help bridge the gap between elementary and secondary/postsecondary education data/research silos. Using this synthetic K-16 education longitudinal database, this study applies machine learning data analytics in search of college readiness early indicators among kindergarten students. It shows the utilities and limitations of linking preexisting national datasets to impute education pathways and assess college readiness. It discusses implications for developing more holistic and equitable educational assessment system in support of K-16 education longitudinal database.

Despite findings in the literature on its significance, the acclimatization of teachers into school units is not well organized. Hence, many newly appointed teachers fell as a “foreign body” into school, they do not interact with the other members of staff and they are not actively engaged in school life. This study aims to explore the factors involved in social behavior (collegial relations) among members of the educational community. These factors may affect the acclimatization/reception of teachers who, regardless of their teaching experience, are called to teach for the first time in a new school environment. According to the findings, it is essential the attitudes of teaching staff, in matters of cooperation, to be transformed and a collegial climate in schools to be established. To this end, fostering empathy among teachers through educational activities and enhancing opportunities for cooperation and teamwork inside and outside the classroom would be of significant contribution.

This study examined the effect of Yunnan’s ethnic minority college students’ acculturation on their academic achievement under the risk of the Matthew effect. Additionally, the role played by learning motivation in the relationship between ethnic minority college students’ acculturation and academic achievement was explored. A total of 403 valid questionnaires were collected from four areas in Yunnan province, China. Consequently, the Acculturation Scale, Academic Achievement Scale, and Learning Motivation Scale were used for measurement materials. These items of scales were evaluated on a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). SPSS (statistical package for the social sciences) and AMOS (analysis of a moment structures) softwares were used for data analyses. In addition, items were analyzed through item analysis, confirmatory factor analysis, reliability analysis and regression analysis. These results indicated that ethnic minority college students with low acculturation and learning motivation or high acculturation and low learning motivation can become objects of the Matthew effect. However, this study also observed that in certain students, high acculturation and high learning motivation can prevent the Matthew effect. Thus, high acculturation is crucial for improving academic achievement in ethnic minority college students. A level of high learning motivation is a powerful moderator promoting the academic achievement of students with high acculturation.

Students' intercultural competence and reading ability are an essential aspect of their education. Intercultural competence, defined as respect for the cultural views, beliefs, and traditions of others, is a necessary skill for effective and appropriate communication. Using a multidimensional model, this study investigated the effect of intercultural competence among Thai junior high school students on their resilience, well-being, and attitudes toward reading. A 2018 Program for International Student Assessment data set relating to 7,411 students from 289 schools in Thailand was analyzed using structural equation modeling. The research findings suggest that improved intercultural competence strengthens resilience, well-being, and attitudes toward reading.

Research shows that children's reading proficiency levels in the early grades positively correlate with students' future academic achievement. This study provides the first-ever analysis of reading achievement trajectories for a cohort of students in grades 3 to 5 in 2014–17 in Hawaii schools. Hawaii serves a diverse student population whose characteristics differ in ways often overlooked by standard US racial and ethnic classifications. Our analysis shows that Native Hawaiian and Pacific Islander students not only start at a lower reading proficiency than their peers in Grade 3, but the achievement gap widens as they move from Grade 3 to Grade 5. Moreover, we find a strong association between students' third-grade performance and reading achievement growth rate above and beyond all other factors in our longitudinal model. The difference in performance patterns between student subgroups across the elementary grades can serve as an accurate baseline for yearly monitoring. In light of our findings, we discuss implications for policy and practice.

This research’s aim was to explore the role of cognitive flexibility in mediating the effect of intrinsic motivation on the creativity of junior high school students. A creativity scale, an intrinsic motivation inventory and a cognitive flexibility inventory were utilized to investigate a sample of junior high school students in Shaanxi Province in western China. 765 valid questionnaires were collected and analyzed using the structural equation model (SEM). The SEM analysis showed that intrinsic motivation and cognitive flexibility have significantly positive impacts on junior high school students’ creativity. Furthermore, a full model revealed that cognitive alternatives and cognitive control mediate the relationship intrinsic motivation and creativity, and the mediation effect of cognitive alternatives is significantly greater than that of cognitive control. In general, the current research suggests that the impact of intrinsic motivation on junior high school students’ creativity is mediated by cognitive flexibility, and its results amplify prior scholars’ research results and give educators an inspiration how to cultivate creativity for the middle school students.

This study aimed to determine the influence of critical thinking skills on misconceptions using a five-tier instrument in mixed-method research. The sampling technique used is simple random sampling. The data collection instrument used a critical thinking skills questionnaire, a misconception test of electric field material, and interviews. Data collection begins with quantitative data, providing a misconception test sheet and a critical thinking skills questionnaire. After that, the researcher took qualitative data in the form of interviews to strengthen data that had been obtained previously. Then from the results of the regression coefficients, there is an influence of critical thinking skills on misconceptions. The descriptive results of critical thinking skills data show that the mean of critical thinking skills is 68.50, which means that students' critical thinking skills are in a good category. Then from the results of the regression coefficients, there is an effect of critical thinking skills on a misconception, with the probability number obtained being significant. The limitations of this study are only to identify and see the impact.

This study aims to develop a learning model based on 4C skills to improve high school students’ mathematical critical thinking skills. Research & development is the design used in this research by applying Plomp’s development theory which consists of three phases, namely needs analysis, design and implementation, and evaluation. This research was conducted at Madrasah Aliyah Negeri 2 Parepare, South Sulawesi, Indonesia involving five experts, four teachers, and 20 students. Data collection and analysis were carried out qualitatively and quantitatively. Analysis of interviews’ data and observations qualitatively with the thematic analysis technique. We also analyse data from validation sheets, questionnaires, and mathematical essay tests with the help of SPSS 20.00. The results show that students and lecturers need a learning model to improve mathematical critical thinking skills. In addition, other findings stated that the learning model developed was proven to be valid, practical, and effective to be used in general. Developing your learning model can further improve students' learning outcomes and mathematical critical thinking skills because they are designed based on the actual needs and problems. For this reason, a teacher must be able to design his learning model.

Currently, physics education is a science that is still considered abstract by many students and the public. Thus, there is a need for information on the current trends in physics education to adapt to the current situation. Based on the Scopus, the research objective is to explore the ongoing trends in the last ten years and during the COVID-19 pandemic. This research is a bibliometric and bibliometric analysis. The findings show that research related to physics education is dominated by the most developed during the COVID-19 pandemic (2020 – 2021) countries Indonesia. Meanwhile, the Journal of Physics Conference Series is the journal that publishes the most publications (Scopus) related to physics education, followed by the AIP Conference Proceeding. Research implication to research, librarian, and policy maker (1) Research and development need to be carried out in-depth related to the growing trend of physics education so that it can be published in Scopus. (2) Cooperation and collaboration between other universities to increase publications at the international level. (3) The need for continuous research to follow current trends.