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The rise and growing prevalence of juvenile delinquency is a matter of concern for many parties. This study aims to establish a research instrument in the form of a questionnaire that can be deployed to assess the learning environment perceived by high school students. This research endeavor constitutes a developmental study, wherein the outcomes are a single survey instrument encompassing six variables, nineteen indicators, and forty questions. The data-collecting process involved the utilization of a Google Form across five schools in five districts, containing a total of 1615 participants. The analysis of expert data was conducted utilizing V. Aiken and field trials employing confirmatory factor analysis (CFA) Second Order. The findings of this study indicate that the diagnostic survey instrument used to assess the learning environment's impact on the mental health of high school students demonstrated validity, as evidenced by loading factor values exceeding the established minimal threshold. The reliability of the instrument remains insufficient. This survey can be utilized to detect adolescent persistent tendencies carried out by students or other school members that interfere with mental health: the emergence and significant raising of juvenile delinquency.

Teacher readiness is the willingness of a teacher to implement a planned program successfully. Readiness is crucial in ensuring a program can be implemented at the individual or organizational level. The readiness of science teachers to implement Classroom-Based Assessment (CBA) determines the direction and success of primary school assessments in Malaysia. This pilot study aims to create and evaluate the Inventory of Science Teachers' Readiness in Implementing Classroom-based Assessment (ISTRI-CBA). There have been many studies on CBA. However, there are limitations in measuring the readiness of science teachers to implement CBA. The evaluation will be ineffective without a suitable tool to measure teacher readiness in CBA. Therefore, to determine the level of readiness of science teachers, the researcher needs an instrument that is valid, reliable, and appropriate to the context of the Ministry of Education, culture, and the current situation in Malaysia. It is necessary to have a conceptually and psychometrically substantial inventory. This challenge was addressed by developing the ISTRI-CBA, comprising five measurement dimensions: knowledge about CBA, skills of CBA, resource support, attitudes, and professional values. The development of ISTRI-CBA requires validity and reliability for its use. This study aims to (1) test the quality characteristics of the ISTRI-CBA items and (2) determine the reliability of the ISTRI-CBA obtained using the Rasch Model measurement. The research involves the administration of a survey questionnaire to 44 science teachers in a district in Malaysia. The findings show that the ISTRI-CBA, comprising 157 items, has good psychometric characteristics and meets the measurement criteria of the Rasch measurement model. The item quality and reliability also prove the suitability of the whole dimension. The study's findings provide evidence of the empirical implications that consistently support ISTRI-CBA as a valid and reliable instrument to measure teachers' readiness to implement CBA in science subjects. The findings also reveal that the ISTRI-CBA can measure science teachers' readiness to implement CBA.

Despite growing interest in evaluating the social and emotional learning of students and the development of standardized assessment tools for this purpose, there remains a dearth of validated instruments for evaluating teachers' social and emotional skills. We set out to address this knowledge gap by investigating the psychometric characteristics of the Social-Emotional Competence Teacher Rating Scale (SECTRS) questionnaire, an instrument originally developed and validated in North America. Participants were 572 teachers from Italy (n=324), Latvia (n=139), and Portugal (n=109) ranging from 40 to 59 years of age. We performed confirmatory factor analysis procedures to validate a four-factor model measuring Teacher-student relationships, Emotion regulation, Social awareness, and Interpersonal relationships. The data supported this factorial structure, with a total of 14 items included in the final model. The outcomes of a multi-group comparison indicated that the model exhibited partial invariance, up to and including metric invariance, across the three cultural settings. We discuss these findings in relation to selecting appropriate instruments for assessing the social and emotional skills of teachers in different cultural contexts.

The aim of this research is to adapt the scales "Homework Management, Homework Effort, Teacher Homework Involvement, Teacher Feedback and Parental Homework Support" into Turkish. The research data were collected from 1,698 secondary school students in grades 5 to 8. The sample was divided into four subgroups and explanatory factor analysis was conducted on two groups and confirmatory factor analysis was conducted on two groups. Concurrent validity analyses were carried out on all students. Data were collected from students studying in 24 classes of six different secondary schools in the Maltepe, Kartal and Pendik regions of Istanbul. 49.12% of this group of students are girls and 50.88% are boys, and the mean age of the participants is 11.84 years. In addition to the scales adapted to the Turkish language, homework behavior (homework completion, time spent on homework, going to school without homework) and academic achievement were measured for concurrent validity. The results of the EFA and CFA analyses were similar to the original scales for all scales. These findings regarding the number of sub-dimensions, the placement of scale items within these sub-dimensions, and the concurrent validity scores indicate that the Turkish versions of the five scales are valid and reliable for assessing mathematics homework at the secondary school level.

Science identity, encompassing perceptions of competence, interest, and recognition in science, alongside learning self-efficacy reflecting confidence to master science skills, are key drivers of outcomes. However, developmental patterns likely vary across contexts. Participants were 512 Chinese students spanning grades 1-3 who completed the Science Identity Scale and Science Learning Self-Efficacy Scale, with physics, chemistry, and biology achievement scores gathered. A Partial Least Squares Structural Equation Model assessed relationships. Results substantiated psychometrics for motivational measures. The model indirectly predicting achievement via first-order discipline-specific paths explained more variance than direct second-order effects. Effects significantly varied across groups stratified by grade and region. Interest and conceptual knowledge drove physics and chemistry success, while higher-order skills enhanced biology achievement overall. However, relationships differed within subgroups, suggesting personalized motivational support needs--self-belief/competence foundations for struggling learners, conceptual development for those with high prior achievement, and intrinsic enrichment for disinterested students. Results detail complex motivational profiles underlying science achievement requiring tailored identity safety and self-efficacy scaffolding alongside conceptual and skill-building for excellence across scientific disciplines. Motivational support systems may spur more equitable and optimal science outcomes among diverse adolescent learners.

This study aims to develop Nature of Science (NOS) measurement instrument for high school students in the Mathematics and Natural Sciences program using COVID-19 cases that had occurred since the end of 2019. This study also attempts to validate test items with the Rasch model approach. The participants in this study are 194 high school students from the Mathematics and Natural Sciences program. Test participants consist of 132 female students and 62 male students. Their age range is 18-21 years old. NOS measurement instrument is presented in multiple choice form, which consists of 16 questions with narration or readings about COVID-19. Data analysis is conducted by dividing the validity into three types, those are content aspect validity, psychometric aspect validity, and construct validity using Rasch model. Content validity is conducted with an assessment involving three experts related to the test material and measured scientific literacy achievement. Psychometric aspects validity involves three psychometricians associated with the construction of the test. Meanwhile, for construct validity, which refers to the concept of construct validity of Messick. The results shows that there are 8 of 16 items in the NOS measurement that occupies all aspects of validity. Regarding to content of construct validity, there are two items do not appropriate with the model, while with substantive validity 94.4% of the test are consistent with the used Rasch model. Regarding to external aspect of construct validity shows that the test instrument can differentiate test participants into two categories, each of which has high and low NOS abilities.

This study explored implications of incorporating African epistemologies into psychometric testing to strengthen cultural relevance and accuracy of assessment. Focus group discussions were conducted with 20 specialist teachers in Marondera, Zimbabwe to qualitatively examine perceptions of intelligence and test constructs. Additionally, 5 educational psychologists participated in interviews regarding integrating indigenous knowledges. Discussions were thematically analysed to discern constructs meriting attention. Key findings indicated that psychometric testing exhibits limitations by often disregarding communalist epistemologies and prioritising of oral tradition, holism, spirituality and creativity in African worldviews. Participants highlighted risks of misrepresentation when such tenets remain unaddressed. Constructs were elucidated warranting respect in emic-valid assessments. While initial findings suggest recognising discussed, African epistemologies holds potential to help address core validity issues. Future mixed methodology research partnerships with experts are recommended. This includes qualitatively defining constructs, then quantitatively validating inclusion into standardised, culturally-sensitive composite measures upholding scientific standards. Ongoing refinement may help psychometrics authentically evaluate diverse populations' capacities in an inclusive, accurate manner.

This study was designed considering the necessity of a questionnaire (validated on Romanian population and built after consulting the available papers on the subject) for evaluating the resilience of adolescents. It was focused on further developing the ARES ("Adolescents' Resilience Evaluation Scale", built in 2018 as a pilot-study, with 62 subjects). This new form (ARES-i25) includes new theoretical aspects, new items and it was completed by 423 subjects. Using factorial exploratory analysis, five factors (which explained 72,1% of the variance of resilience) were identified: tenacity and self-efficiency; self-confidence; learn from life experiences; rapid recovery after trauma; social and familial resources. The reliability was proven by its internal consistency ([alpha]= 0.83 on a general level, and subscales 0.71<[alpha]> 0.89), while its concurrent validity was proven by 0.05 0.75 (comparing the results to those of BRS - Smith et al., 2008) thus proving the adequate psychometric qualities of the new form of ARES-i25. Future studies will focus on extending the sample and on applying ARES-i25 in other countries and creating programs for developing resilience.

Background: The STEM education system has garnered significant interest due to its innovative approach in creating a multidisciplinary and integrated knowledge structure that connects science, technology, engineering, and mathematics, and allows students to apply scientific knowledge in a comprehensive and holistic manner. Consequently, evaluating the teaching methods of teachers in accordance with STEM standards is critical. This assessment should take into account various educational objectives, including cognitive, skill-based, and emotional aspects. Purpose: This study aimed to evaluate the creative teaching practices of mathematics teachers for gifted students according to STEM standards. Method: The study applied the descriptive analytical method and developed a rating scale for evaluating creative teaching practices based on STEM standards, verifying the psychometric properties in several ways. The study sample consisted of 64 teachers of mathematics for gifted students. Results: The results showed that the degree of application of creative teaching practices by the teachers of gifted students according to STEM standards was at the moderate level in three domains: planning, implementation, and assessment. Conclusions: Despite the importance of achieving integration for STEM, the actual teaching practices of teachers of the gifted according to these standards were generally average and did not reach acceptable and ambitious levels.

There is a clear need for highly competent health sciences experts. No instrument currently exists for assessing the generic competences of health sciences students. The aim of this study is to develop and psychometrically test the Health sciences Generic Competence (HealthGenericCom) instrument. The instrument development four step process has been conducted with a cross-sectional study design and according to the COSMIN guidelines. Face and content validity was tested by 13 experts, structural validity was tested with exploratory factor analysis, and internal consistency was evaluated by calculating Cronbach's alpha. The structural validity was tested using data from Finnish health sciences students (n=276). The content validity index of the whole HealthGenericCom instrument was 1 for relevance and for clarity. Using exploratory factor analysis a model of eight factors (with 88 items) was created: 1) competence in leadership, administration, and finance; 2) competence in people-centred guidance; 3) competence in health promotion; 4) competence in evidence-based practice; 5) digital competence; 6) competence in work well-being and self-management; 7) competence in collaboration and problem-solving; and 8) competence in societal interaction. The HealthGenericCom was shown to be valid and reliable and provides an evidence-based conceptual framework that can be used in developing curriculums and competence management.

The importance of understanding student attitudes has become paramount in the successful deployment of blended learning. This study aimed to examine the factorial structure of a scale designed to assess university students' attitudes towards blended learning. Using a descriptive quantitative research approach, the study included a sample of 889 male and female students from the University of Tabuk, located in the Kingdom of Saudi Arabia. The participants were selected randomly from different academic majors and levels of study. The instrument employed in this study was the Blended Learning Attitudes Scale, a tool designed by the researcher and subjected to rigorous validation procedures. The researcher utilised exploratory and confirmatory factor analyses to understand the latent variables the scale represented comprehensively. The study's findings indicated the presence of a three-factor model, encompassing participants' perceptions of the nature of blended learning, its perceived importance, and their willingness to utilise it. The combined influence of these three factors accounted for 64% of the observed variance. The scale had noteworthy psychometric features, as evidenced by its high-reliability coefficients and robust validity indicators. This study presents a reliable instrument that educators and researchers may utilise to assess university students' attitudes towards blended learning.

Over the last two decades, cyberbullying has gained increasing attention from the research community as the phenomenon has become a public health issue affecting children, adolescents, and young adults. Although several instruments assess cyberbullying worldwide, many still need to be adequately validated in different languages, countries, and cultures. The European Cyberbullying Intervention Project Questionnaire (ECIPQ) is one instrument that aims to measure two dimensions of cyberbullying: cyber-victimization and cyber-aggression. Although the instrument has been translated into various languages and validated in several European and non-European countries, validation studies have yet to be conducted in Turkish culture. This study aimed to adapt the ECIPQ into Turkish and to investigate the psychometric quality of the instrument in Turkish population. A total sample of 632 college students participated in the study. Along with the ECIPQ, the Buss-Perry Aggression Questionnaire, the Rosenberg Self-Esteem Scale, and the Satisfaction with Life Scale were administered for validation purposes. The results showed that the Turkish version of the ECIPQ had sufficient internal consistency. The confirmatory factor analysis supported the two-factor structure of the ECIPQ. The ECIPQ showed adequate convergent validity, as evidenced by the positive correlation between the cyberbullying and aggression scores and the negative correlation between cyberbullying and self-esteem scores. In conclusion, the ECIPQ can be considered a psychometrically sound measure to assess Turkish college students' perceived cyber-aggression and cyber-victimization levels.

Although equality of opportunity in education is a current and important issue, most of the studies on this subject are based on theoretical studies rather than empirical studies. The main reason for this can be said to be the lack of a valid and reliable measurement tool in this field. For this reason, this study aims to develop a valid and reliable measurement tool for determining pre-service teachers' perceptions of equality of opportunity in education. For this purpose, data were collected from four different samples using a simple random sampling technique. First, a literature review was conducted, and qualitative interviews were conducted with the first sample on equal opportunities in qualitative education. After the item pool was created, the first application was made in order to determine the factor structure of the measurement tool. Data were collected from a separate sample to test the resulting structure and perform confirmatory factor analysis. Then, in the context of reliability studies of the measurement tool, calculation of the internal consistency coefficient, extracted mean variance, composite reliability and test-retest processes were used. As a result, a valid and reliable scale for determining the perception of equality of opportunity in education consisting of three factors and 23 items has been brought to the education literature.

This study investigates the validity and reliability of the Intrinsic Motivation Inventory (IMI) in the context of blended learning. In the digital age, the fusion of online components with traditional classroom instruction has become integral to modern pedagogy, giving rise to blended learning--a flexible approach accommodating diverse learning needs. In such multifaceted environments, intrinsic motivation emerges as pivotal for sustaining student engagement, bridging the gap between in-person and online learning components. Utilizing a quasi-experimental quantitative research design, the research focuses on first-year university students enrolled in a blended learning economics course. Thorough statistical analysis affirms the IMI's effectiveness in accurately measuring intrinsic motivation levels within the diverse framework of blended learning. The findings not only validate the IMI as a tool for assessing intrinsic motivation but also underscore its importance for educators. Understanding students' intrinsic motivation is essential for tailoring instructional strategies, identifying at-risk students, and proactively preventing potential dropouts in blended learning environments. The validation of the IMI enhances the accuracy of assessments, interventions, and program evaluations, ultimately contributing to the improvement of education quality for students engaged in the integrated format of traditional and online instruction.

A questionnaire for measuring Context University Skills and Workplace-Recognized Skills (LCUS-WRS) requires a validated and reliable instrument. The purpose of this study was to develop and validate a questionnaire to measure learning of context university skills and workplace-recognized skills, in order to carry out an advanced psychometric properties analysis of Work-Integrated Education (WIE) students and the skills of LCUS-WRS, including internal and external reliability. Methods: We conducted multi-stage random sampling, with a sample consisting of 728 students WIE from 20 rural colleges in Thailand. Exploratory Factor Analysis (EFA) was performed on a subset of the sample (n = 279), and Confirmatory Factor Analysis (CFA) was conducted on another subset (n = 449), both in different subgroups. Additionally, the researcher analyzed the internal consistency and temporal reliability of the scale in the instrument. Results: Using exploratory factor analysis with 39 items 6 factors and accounted for 55.881% of variance was identified of the variance for the CFA model. The model achieved a goodness-of-fit of chi-square (X[superscript 2]) = 582.907, df = 308, p = 0.000, X[superscript 2]/df = 1.90, GFI = 0.979, AGFI = 0.985, RMSEA = 0.030, SRMR = 0.030. Conclusion: LCUS-WRS scale has solid construct of validity and excellent internal consistency which to analyze psychometric properties It has optimum temporal reliability. Therefore, the indicated that the dimensions of measuring of LCUS-WRS guaranteed its use in higher education institutions. Keywords: learning of context university skills, workplace-recognized

Sense of coherence (SOC) is a relevant contributor and predictor of the individuals' mental and physical health. There are a number of studies about SOC, but only two validation articles of the sense of coherence scale (SOCS) were found on adolescents and none on children. The aim of this research was to validate the SOC scale in youth under 18. We hypothesized that younger children and children without psychiatric problems will have higher SOC than older ones, and children with psychiatric symptoms. We also wanted to examine the factor structure of both the 13 and the 29 item versions of the scale to study which is more valid in child and adolescent population. 199 children and 198 adolescents were included in the study; the mean age was 14.3 (SD 2.1) years. The sample included average youth from schools and youth under psychiatric treatment. Strength and Difficulties Questionnaire (SDQ) and Inventory of Life Quality (ILK) were used for validation of the SOCS. SOCS-13 was applied to compare SOC of children and adolescents. Children had higher SOC than adolescents in both samples. Males had higher SOC than females in children but not in adolescents. Psychiatric and behavioral symptoms were associated with a lower SOC regardless

The objective of this research is to construct a scale for assessing the extent of parents' 'sharenting' behavior and to assess its psychometric characteristics. The development of the Sharenting Scale commenced with a comprehensive review of relevant literature. Subsequently, a preliminary version of the scale was administered to 300 parents who utilize social media platforms. Exploratory Factor Analysis was conducted on the collected data, revealing a two-factor structure comprising nine items. The analysis indicated that the two-factor structure accounted for 66.51% of the total variance. Confirmatory Factor Analysis was conducted using data collected from 191 parents who completed the aforementioned scale. The goodness-of-fit indices indicated satisfactory fit values: X[superscript 2]/df= 2.06, RMSEA= 0.075, CFI= 0.96, IFI= 0.96, TLI= 0.95, GFI= 0.94, NFI= 0.93. The convergent validity of the scale was assessed through the calculation of Average Variance Extracted and Composite Reliability values. Furthermore, the internal consistency reliability of the Sharenting Scale was evaluated using Cronbach's Alpha coefficient, yielding a value of 0.82. Additionally, the stability of the scale was examined via a test-retest method, resulting in a correlation coefficient of 0.83. Based on these findings, it can be concluded that the Sharenting Scale demonstrates both validity and reliability as a measurement tool for assessing parents' 'sharenting' behavior.

Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP) evaluation model to confirm the factor structure or dimensions of several observed variables (items) to evaluate the reliability and validity of the CFS policy evaluation tool in elementary schools. The validity and reliability of previously created instruments are evaluated quantitatively, but this study utilises different subjects and study sites. There were 320 respondents, with 145 school principals and 175 teachers taken randomly. Confirmatory factors analysis (CFA) results show goodness of fit (GOF), and the model is acceptable. The CFS evaluation instrument can be accepted after eliminating several question items and modifying them. All items of the teal instrument meet the goodness of fit criteria in terms of chi-square and root mean square error of approximation (RMSEA). The instrument for evaluating CFS policies in primary schools using the CIPP model has met a valid and reliable psychometric property test so that it can be applied.

In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such tests to provide reliable, accurate inference on a test-taker's performance could be jeopardized by aberrant test-taking practices, for instance, practicing real items prior to the test. As a result, it is crucial for administrators of such assessments to develop strategies that detect potential aberrant test-takers after data collection. The aim of this study is to explore the implementation of machine learning methods in combination with multimodal data fusion strategies that integrate bio-information technology, such as eye-tracking, and psychometric measures, including response times and item responses, to detect aberrant test-taking behaviors in technology-assisted remote testing settings.

Introduction: Social self-efficacy refers to peoples' beliefs about their ability to establish effective social relationships. During adolescence, it has been related to positive social relationships, skills to cope with adverse experiences, and health. While prior research has focused on the general dimension of self-efficacy, this study aims to examine the reliability and validity of the subscale social self-efficacy in Spanish and Portuguese adolescents across gender, age, and country. Method: The sample, selected from the 2018 Health Behaviour in School-aged Children (HBSC) study, was composed of 20,691 13-18-year-old adolescents from Spain and Portugal (48.2% boys and 51.8% girls). The scale's reliability and internal and external validity were examined systemically across sex, age, and country, as well as testing measurement invariance according to these variables. Results: Data showed adequate evidence of reliability ([alpha] = 0.85), as well as internal and external validity, thus demonstrating the scale's stability and applicability in similar research contexts. Conclusions: Social self-efficacy fosters individual and social well-being in youth, as well as healthy and positive development. Use of this subscale in evaluation and intervention programs could further our understanding about different dimensions of adolescent development.

This article presents a simple, cognitive theory of science and learning. The first section of the paper develops the theory's two main propositions: (i) A wide range of scientific activities rely heavily on one type of reasoning, hypothetical thinking, and (ii) This type of reasoning is also useful to students for learning science content. The second section of the paper presents a taxonomy of multiple-choice questions that use hypothetical thinking and the third section of the paper tests the theory using data from a college biology course. As expected by the theory, student responses to 24 scientific reasoning questions were consistent with a one-dimensional psychometric construct. Student responses to the scientific reasoning questions explained 36% of the variance in exam grades. Several directions for additional research are identified, including studying the psychometric structure of scientific thinking in more detail, performing randomized, controlled experiments to demonstrate a causal relationship between scientific thinking and learning, and identifying the relative contribution of other factors to success in college.

Metacognition awareness is a fundamental skill for the 21st century. Accurately measuring metacognitive awareness would be highly relevant regardless of age, background, or cognitive abilities. The current study aimed to evaluate the psychometric properties of the 19-item Metacognitive Awareness Inventory-Arabic version (MAI-A) in the general population of Saudi Arabia. The current study employed Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Cronbach's alpha and McDonald's omega (reliability), and average variance extracted and composite reliability (validity to evaluate the psychometric properties of MAI-A among a sample of the Arabian population. Measurement invariance across male and female samples had been conducted. Finally, the Exploratory Graph Analysis (EGA) was used to estimate the dimensional structure of the MAI. In the first step, quantitative face validity was presented to remove the one on the items because of poor indexes. So, the evaluated version was 18 items MAI. Also, the first-order and second-order CFA confirmed the 2-factor model. So, the 18-item MAI presented suitable internal consistency. Second-order average variance extracted validity showed suitable validity of the MAI-A. According to [delta]CFI and [delta]RMSEA, there was no gender invariance between males and females in the MAI-A structure. Finally, the EGA estimated a 3-dimensional structure of the MAI, which was different from the factor structure in the CFA. The MAI-A is a practical and cost-effective tool for evaluating metacognitive awareness in Arab populations. However, future studies should be conducted due to differences between traditional methods (CFA)I and novel methods (EGA) in extracting factors.

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to investigate the gap between SRL strategy knowledge and its application in more depth, it is necessary to develop instruments that assess conditional SRL strategy knowledge for the whole learning process with sufficient validity and reliability. Therefore, based on four distinct studies conducted in Germany, the development and validation of a new Strategy Knowledge Test for Self-Regulated Learning (SKT-SRL) for college students are described. Study 1 describes the development of the test and the results of expert ratings that speak in favour of the test's content validity. Study 2, the pilot study, was undertaken to gain insight into the psychometric characteristics of the SKT-SRL, examine its relationship to other SRL assessment methods and academic achievement, and reach a sense of its validity. Studies 3 and 4 present the results of two validation studies for the SKT-SRL; they investigated its psychometric characteristics, convergent validity, factorial structure, test-retest reliability, and its relationship to academic achievement as well as other study-relevant factors. Overall, the results are promising and the SKT-SRL mostly showed sufficiently valid assessments. To conclude, the SKT-SRL is a useful tool for analysing conditional SRL strategy knowledge in college students and can be used for further research on the relationship between SRL strategy knowledge and strategy usage.

The Kessler Psychological Distress Scale (K-10) is widely utilized to assess non-specific psychological distress. However, when applied to COVID-19 pandemic experiences, its psychometric properties have not been examined. This study investigated the factor structure, reliability, and latent profile of K-10 using data from 3032 Filipino teachers who reflected on their pandemic-related adversity prior to completing K-10. Confirmatory factor analyses were conducted to evaluate five extant models of the K-10's structure, supporting the two-factor model (i.e., anxiety and depression) as best fitting the data. Both factors showed excellent internal reliability, and criterion-related validity was supported by correlations with anxiety and depression measures. Latent profile analysis revealed a four-class solution, identifying four distinct levels of distress severity. Overall, the contextualized K-10 demonstrated sound psychometric properties, which corroborates and extends its reliability and validity as a measure of pandemic-related distress. Further, the results offer insights into the dimensionality and distress profiles of the K-10 among teachers. Broadly, the findings highlight the importance of valid instruments in assessing contextualized psychological distress.

Despite widespread evidence-based treatments for addressing internalizing concerns, many youth do not demonstrate reliable or clinically meaningful improvement. Regular progress monitoring, consisting of measurement and feedback, offers the opportunity to improve outcomes in real time. The 21-item Depression Anxiety and Stress Scales (DASS-21; Lovibond & Lovibond, 1995) has potential as a progress-monitoring tool for internalizing concerns in youth; however, limited psychometric data are available to support this use. The purpose of this study was to investigate the dependability of data obtained from the DASS-21 when completed by adolescents in a clinical setting. This study also aimed to understand the feasibility and utility of using the DASS-21 as a progress-monitoring tool from youth and clinicians' perspectives. Generalizability and dependability analyses were conducted to determine the number of ratings needed to obtain a dependable estimate of youth functioning within 1 week. Whereas two daily ratings were needed to dependably estimate total distress, results for the depression, anxiety, and stress subscales indicated that two to five data points would be needed over the course of the week. Finally, results demonstrate the usability of the DASS-21 from both youth and clinician perspectives when used in a progress-monitoring context.

This study examined the psychometric properties of the Chinese version of the Social-Emotional Assessment Measure (SEAM) (33-66 months), which is designed to assess social-emotional difficulties and behavior disorders in young children. In this case, the SEAM was translated and back-translated. The sample included 2477 preschoolers (1256 boys; M[subscript age] = 57.57 months, SD = 10.93) residing in Shanghai, China. In summary, the results presented a 10-factor model that showed a good fit for the SEAM (33-66 months). Ultimately, the analyses demonstrated adequate internal consistency, reliability, and convergent validity. These findings indicate that the SEAM (33-36 months) is appropriate for use in Chinese preschool populations.

To revise the Parental Autonomy Support Scale (PASS) and to validate its psychometric properties in Chinese college students, this study recruited 738 Chinese college students, with 72 of them retested four weeks later. The Parental Psychological Control Scale (PPCS) and the Self-Esteem Scale (RSES) were used to evaluate the validity of the PASS. Results showed that the revised PASS contained a total of nine items measuring three dimensions: autonomous decision-making, transpositional thinking, and willingness to respect. Results showed that the three-factor ESEM model fitted the data well (TLI = 0.981, CFI = 0.994, RMSEA = 0.046). The PASS showed a significant negative correlation between the total score of the PASS and the total score of the PPCS (r = -0.344, p < 0.001), and a significant positive correlation of the PASS with the total score of the RSES (r = 0.297, p < 0.001). The composite reliability coefficient was 0.913 for the total score. The test-retest reliability coefficients were 0.827 for the total score and ranged from 0.626 to 0.744 for the three dimensions. The revised PASS is shown to have sound psychometric properties and thus can be used as a tool to measure the level of parental autonomy support among Chinese college students.

Authors evaluated the Student Behavior Checklist-Brief (SBC-B) to test whether teacher-reports of student learning approach (i.e., learned helplessness [LH] and mastery orientation [MO]) were invariant across academic subjects. The current sample includes ethnically diverse seventh and eighth grade students (N = 145; 53 percent male) and six teams of five teachers for the core academic subjects. Authors conducted confirmatory factor analyses and measurement invariance tests on ratings for each of the subject-specific SBC-B measures and total SBC-B ratings that were not subject-specific. Results supported full measurement invariance across academic subjects. This evidence supporting the SBC-B's psychometric properties across subjects increases confidence in using the measure in research and clinical settings to identify youth with tendencies toward LH or MO and explore how LH/MO relate to academic functioning and experiences of internalizing symptoms.

Though a substantial amount of research exists on imputing missing scores in educational assessments, there is little research on cases where responses or scores to an item are missing for all test takers. In this paper, we tackled the problem of imputing missing scores for tests for which the responses to an item are missing for all test takers. We considered three missing-data imputation methods--the median method, the item response theory (IRT) method, and the two-way method--for imputing scores. We compared the performance of these three imputation methods with respect to their accuracy in estimating scaled scores and test reliability for the aforementioned problem. Real data were used in the comparison. All three methods performed well in imputing scaled scores with negligible imputation error: The IRT method and the median method provided slightly more accurate scaled scores. The two-way method provided the most accurate reliability estimates. Recommendations for practice are provided.

The Repetitive Behaviours Questionnaire for Adults (RBQ-2A) measures two factors of restricted and repetitive behaviours (RRBs) associated with autism. However, the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) provides four criteria for RRBs: repetitive motor behaviours, insistence on sameness, restricted interests, and interest in sensory aspects of the environment (or atypical sensitivity). The current paper aimed to examine whether the RBQ-2A is a psychometrically sound measure of these four factors. Study 1 had university students (N = 368) complete the RBQ-2A and other related measures online and revealed that the RBQ-2A can assess the factors highlighted in the DSM-5 and that these four factors comprise a general RRB construct. Study 2 had individuals disclosing a diagnosis of autism (N = 283) complete the RBQ-2A and other related measures online and supported that this four-factor structure provided good psychometric properties. While the current paper provides findings for an online autistic population, further research is needed to generalize these findings to autistic individuals less likely to partake in online studies (e.g., those with intellectual or language disabilities). Overall, the results suggest that the RBQ-2A reliably and validly assesses RRBs.

There are many well-developed screening tools for both intellectual disabilities and autism, but they may not be culturally appropriate for use within Africa. Our specific aims were to complete a systematic review to (1) describe and critically appraise short screening tools for the detection of intellectual disabilities and autism for older children and young adults, (2) consider the psychometric properties of these tools, and (3) judge the cultural appropriateness of these tools for use within Africa. Six screening tools for intellectual disabilities and twelve for autism were identified and appraised using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines. We identified two screening tools which appeared appropriate for validation for use within African nations.

Museums and science centers are constantly changing scientific environments which exert a lasting positive impact on the society through the popularization of science. One of the most effective strategies employed by these science popularization venues is the organization of scientific exhibitions using scientific devices which are presented to visitors in an interactive way. In the present study, a questionnaire was developed based on the concept of epistemological profile derived from Gaston Bachelard's philosophical thoughts, where thorough analyses were carried out with a view to exploring the characteristics of the historical philosophical zones of scientific concepts. The questionnaire was used to analyze the manner in which visitors interacted with museum installations and exhibitions. The proposed instrument was validated using qualitative and quantitative analytical tools. The analysis of the psychometric properties of the questionnaire showed that the proposed instrument is a reliable and valid tool suitable for the purposes intended. The application of the questionnaire using an electromagnetic apparatus and future implications of the analytical instrument were also discussed in this work.

This was the first study in which a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. This study also represented the first time a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. Data were collected from 229 HSSWD in a western state and analyzed using Cronbach's Alpha, McDonald's Omega, and exploratory factor analysis (EFA). The Alpha and Omega results showed less internal consistency in HSSWD attitudes toward mathematics than their attitudes toward the other three S-STEM subscales. The EFA results showed preliminary indications of construct validity for the engineering and technology subscale. Limitations of the study are its modest sample size and some measurement imprecision. Implications of the study are further psychometric analyses of the S-STEM for HSSWD and educators focusing on increasing STEM opportunities for HSSWD.

The Big Three Perfectionism Scale (BTPS) was created to integrate different aspects of perfectionism, including the newly conceptualized concept of narcissistic perfectionism. The goal of our two studies (N = 1341) was to examine the psychometric properties of the Polish adaptation of the BTPS, supporting the validity and portability of the measure. The studies were conducted among people who had a child, thus contributing to a better understanding of parental perfectionism, one of the key factors influencing parental well-being and a child's functioning. Our analyses included investigating the structure of the scale, intercorrelations between subscales, reliability, and convergent validity by correlating BTPS scores with other measures of perfectionism and correlates of psychopathology (borderline symptoms) and parental difficulties (parental stress and parental burnout). Results supported the structure of the original BTPS. As predicted, confirmatory factor analysis indicated that items comprising the Polish adaptation of the questionnaire, like the original version, measure three related but specific aspects of perfectionism: rigid perfectionism, self-critical perfectionism, and narcissistic perfectionism. The three dimensions were also found to be specifically related to the difficulties experienced by parents. Further, the Polish version of the BTPS was found to have good internal reliability and validity. Our results from two independent Polish samples suggest that the Polish version of the BTPS is a psychometrically robust measure of perfectionism for assessing the three perfectionism factors.

In the early years, it has become essential to support the acquisition of computational thinking, which is seen as a 21st-century skill and new literacy. A valid and reliable measurement tool is needed to develop and evaluate educational practices related to these skills. "TechCheck" is a validated unplugged assessment of computational thinking skills for young children. (Relkin & Bers in IEEE Global Engineering Education Conference (EDUCON) in 2021 (pp. 1696-1702), 2021; Relkin et al. in Journal of Science Education and Technology 29(4):482-498, 2020). This study aims to adapt and characterize a Turkish version of TechCheck-K for children aged 5-6. Validity and reliability of the Turkish version were established through classical test theory and item response theory, as had been done for the original English language version. Based on classical test theory, the confirmatory factor analysis used A tetrachoric weighted matrix to test the instrument's structure. The one-dimensional structure of the instrument was verified. The KR-20 reliability coefficient for the scale consisting of one dimension and 15 items was 0.87, which is considered an acceptable level of reliability. Rasch and 2PL models were compared with M2 statistics to determine the item and test parameters based on item response theory (IRT). The 2PL model was chosen as the best fit. Mean TechCheck scores differed based on gender, socio-economic status, past exposure to computers, and coding experience. These results indicate that the Turkish version of TechCheck-K has acceptable psychometric properties for measuring computational thinking skills in children between 5 and 6 years of age.

Background: Learning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an implicit assumption that such measurements are free of errors. Objectives: This study addresses these gaps by investigating the psychometric pros and cons of aggregate measurements. Methods: This study proposes a framework for aggregating process data, which includes the conditions where aggregation is appropriate, and a guideline for selecting the proper reliability evidence and the computing procedure. We support and demonstrate the framework by analysing undergraduates' academic procrastination and programming proficiency in an introductory computer science course. Results and Conclusion: Aggregation over a period is acceptable and may improve measurement reliability only if the construct of interest is stable during the period. Otherwise, aggregation may mask meaningful changes in behaviours and should be avoided. While selecting the type of reliability evidence, a critical question is whether process data can be regarded as repeated measurements. Another question is whether the lengths of processes are unequal and individual events are unreliable. If the answer to the second question is no, segmenting each process into a fixed number of bins assists in computing the reliability coefficient. Major Takeaways: The proposed framework can be a general guideline for aggregating process data in LA research. Researchers should check and report the reliability evidence for aggregate measurements before the ensuing interpretation.

The present study aims to develop the Cyberbullying Awareness Scale (CAS) for adolescents, which assesses adolescents' awareness about cyberbullying, and to examine the psychometric properties of the scale by conducting validity and reliability studies. In this context, evidence on the validity and reliability of the scale was obtained in two separate studies. In Study 1 (N = 552), scale items were developed, content validity was examined, and exploratory factor analysis (EFA) was performed to determine the factor structure of the scale. In addition, criterion-related validity and reliability analyses were performed. The mean age of the participants in Study 1 was 14.6. In Study 2 (N = 338), Confirmatory Factor Analysis (CFA) was performed to confirm the factorial structure obtained as a result of EFA. The mean age of the participants in Study 2 was 14.8. As a result of the research, it was determined that the CAS for adolescents had a three-factor structure comprised of Cyberbullying Tendency, Coping with Cyberbullying and Protection from Cyberbullying. The internal consistency coefficients were calculated as 0.80 for the Cyberbullying Tendency sub-dimension, 0.76 for the Coping with Cyberbullying sub-dimension and 0.63 for the Protection from Cyberbullying sub-dimension. In line with the obtained results, it can be said that the CAS for adolescents is a valid and reliable measurement tool for determining the awareness of adolescents in the 12-18 age group on cyberbullying.

Objective: The original 24-item School Refusal Assessment Scale-Revised (SRAS-R) assesses four functions/conditions regarding school refusal behavior (SRB), bridging assessments, and treatments of SRB. No validated Chinese versions are available. Methods: To validate the Chinese version of the SRAS-R, an anonymous cross-sectional survey was conducted from February to March 2022 among 1108 secondary school students in Taizhou, China. Results: Confirmatory factor analysis (CFA) did not support the original 4-factor model. Three items were thus removed in the exploratory factor analysis performed in the first half-spilt subsample, yielding a 5-factor model which was confirmed by CFA in the second subsample. The resulting 21-item scale/subscales of the Chinese SRAS-R generally demonstrated measurement invariance across sex and student types and satisfactory internal consistency, absence of ceiling effect and floor effect, and concurrent validity with the two external variables of preference of not going to school and depressive symptoms. Significant sex and student type differences in subscale scores were found. Conclusions: The 21-item and 5-factor Chinese version of the SRAS-R showed satisfactory psychometric properties and can be applied to research on SRB among Chinese adolescents. Future studies should validate it in other countries.

Bullying is a form of school violence that has recently received the attention of school psychologists. One of these problems that exists in almost all schools is the phenomenon of school bullying. The aim of this study is to examine the psychometric reliability and validity of the Participant Role Scale in bullying in Persian and compare the psychometric properties of 3- and 4-factorial models for this scale. We use both descriptive and inferential statistics. The statistical population was the second-grade students in Lorestan province in the year 2021-2022. Sample size of 617 students (324 males and 293 females) were selected by multistage cluster sampling. The range of Subscales Cronbach's alpha coefficients varied from 0.8 to 0.91, and the Cronbach's alpha coefficient of the whole scale was 0.90. The 3-factorial model had slightly better reliability than the 4-factorial model structure. Similarly, the factor structure of the 3-factorial model structure was much better in exploratory and confirmatory factor analysis. We provide a reliable and valid 3-factorial model for the Participant Role Scale in Persian.

We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a psychometric approach. In working to develop the ESSY Whole Child Screener, we are integrating a mixed methods approach with attention to consequential validity from the outset of measure development. This approach includes end users in measure development decisions. In this study, we interviewed a diverse sample of school staff (n = 7), administrators (n = 3), and family caregivers (n = 8) to solicit their perceptions of the usability of the initial draft of the ESSY Whole Child Screener. We identified three overarching themes: (1) paving the road for implementation of a whole child screener, (2) potential roadblocks to use, and (3) suggested paths forward to maximize positive intended consequences. "Paving the road for implementation of a whole child screener" includes subthemes related to alignment with existing initiatives, comprehensive yet efficient design, and potential positive consequences of assessing the whole child. "Potential roadblocks to use" includes subthemes of staff buy-in, family comfort with contextual screening items, teacher accuracy, and school capacity to provide indicated supports. "Suggested paths forward to maximize positive intended consequences" include clear and precise messaging to staff and families, optimizing instrumentation and data collection procedures, and strengthening connections to data interpretation and use. We discuss next steps in the design and testing of the initial measure as well as assessment development more broadly.

The Expectancy-Value model has been extensively used to understand students' achievement motivation. However, recent studies propose the inclusion of cost as a separate construct from values, leading to the development of the Expectancy-Value-Cost model. This study aimed to adapt Kosovich et al.'s ("The Journal of Early Adolescence", 35, 5-6, 2015) instrument for assessing achievement motivation in science and math among Spanish-speaking students aged 9-12. The psychometric evaluation encompassed examining validity, reliability, and measurement invariance for gender. The findings support the applicability of the expectancy-value-cost model in elementary school students, providing a valid and reliable tool for assessing achievement motivation in the science and math domain. However, the findings for the measurement invariance for gender are less conclusive and warrant future psychometric evaluations. This study opens avenues for future research on achievement motivation in Spanish-speaking contexts and populations.

Adolescent anhedonia is a multidimensional construct defined as the loss of enjoyment or pleasure across multiple domains of life. Anhedonia is concurrently associated with substantial impairment and distress, and it prospectively predicts the onset, severity, and treatment of depression. Despite its demonstrated importance, a limited number of anhedonia measures are validated for adolescents. The current study assessed the psychometric properties of the Dimensional Anhedonia Rating Scale (DARS) in 400 English-speaking, 12- to 19-year-old adolescents. Overall, the DARS demonstrated good convergent and discriminant validity, but sub-optimal concurrent validity. The strengths and limitations of the DARS and its utility as a measure of adolescent anhedonia are discussed. Furthermore, future directions for the construction of measures of adolescent anhedonia are outlined.

This article reports on the development and psychometric evaluation of a new teacher observation instrument to systematically assess young primary school students' well-being and detect potential indicators of psychological trauma, the RaPTOSS: "Risk and Protective factors Trauma Observation School Situations." The RaPTOSS is developed specifically for preschool and early primary school teachers, because of the limited abilities their young students have to verbally reflect and report on their well-being and stressful experiences. We examined the factor structure, internal consistency, convergent validity and criterion validity of the RaPTOSS in a sample of 406 4- to 8-year-old regular education students. Exploratory factor analyses yielded a four-factor structure for the risk items with the following factors: Withdrawn, Dysphoria, Destructive and Inattentive. The protective factor items revealed a four-factor structure closely aligning the theoretical factor structure: Safety and Relations, Self-Image, Everyday Life and Self-Regulation. All factors exhibited good to excellent internal consistency. Correlations between the RaPTOSS and existing measures of psychosocial well-being without a specific focus on trauma-related behavior demonstrated good convergent validity. Criterion validity was supported, as indicated by moderate to large positive correlations between teacher worries about a student and RaPTOSS risk factors, and moderate to large negative correlations between teacher worries and RAPTOSS protective factors. We conclude that the RaPTOSS is a promising measure for trauma-informed teaching and research, although future research is needed to establish its psychometric qualities in specific samples such as children diagnosed with PTSD and refugee children.

Organization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children's Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there is limited research on this scale. This study examined the factor structure and construct validity of the COSS in a non-clinical and clinical sample of students in grades 2-8 (Study 1; n = 1138 COSS-T; 1155 COSS-P), and teacher-referred students with OTMP deficits in grades 3-5 (Study 2; n = 184). In Study 1, a bifactor model with a general factor and three subfactors demonstrated good fit for the COSS-P (RMSEA = 0.057) and COSS-T (RMSEA = 0.052). This model was replicated in Study 2. The general factor on both versions demonstrated an acceptable to high level of internal reliability. An acceptable degree of reliability was also identified for subfactor 1 (Task Planning). The COSS was shown to be effective in differentiating children with ADHD from a comparison group drawn primarily from the non-clinical sample (AUC = 0.84 COSS-P; 0.85 COSS-T). Sex differences of medium magnitude were identified on the total score of both COSS versions. Correlations between the COSS-P and COSS-T were variable across samples. The findings provide strong evidence for using the total score on the COSS-P and COSS-T as an index of overall OTMP skills deficits. Given variable cross-informant correlations on the COSS, multi-informant assessment of OTMP skills is strongly indicated.

Post-secondary data literacy education is critical to students' academic and career success. However, the literature has not adequately addressed the conceptualization and assessment of data literacy for post-secondary students. In this study, we introduced a novel digital performance-based assessment for teaching and evaluating post-secondary students' data literacy skills. The purpose of this study is to validate the assessment and identify problematic items for later modifications using the argument-based approach to validation. We analyzed students' item responses and eye movements using psychometric and eye-tracking analyses to collect two types of validity evidence: internal structure and response processes. Descriptive and psychometric results showed that the nine example items measuring basic data analysis were of acceptable psychometric quality. The eye-tracking analysis of two representative items indicated that most students first attended to and processed expected item areas when the items were available. In addition, the critical item regions for task success were associated with students' highest cognitive effort. These results rejected our alternative score interpretation that the developed assessment questions evaluate students' abilities that are weakly connected to the skill of basic data analysis. Possible explanations of the findings and theoretical and pedagogical implications of our study were discussed.

Given the need for a swift, systematic way to identify students with internalizing and externalizing behavior patterns to connect these students with appropriate supports, we present new findings of the Student Risk Screening Scale--Internalizing and Externalizing (SRSS-IE). In this article, we examined (a) factor structure of the SRSS-IE and (b) the extent to which measurement invariance holds across gender, special education status, race, and ethnicity, as well as time point (fall, winter, spring) within each school level (elementary, middle, high). The sample includes 124 schools from four U.S. geographic regions in their first year of implementing the SRSS-IE collected over a 10-year span. Using confirmatory factor analysis procedures accounting for the nesting of students within teachers' classrooms, we confirmed a two-factor structure (internalizing and externalizing) and determined three items may be removed from the instrument while maintaining adequate model fit, pending replication with schools in later stages of screening implementation. All model comparisons between configural, metric, scalar, and strict models met invariance criteria within a time point. Longitudinal models also met these invariance criteria. We discuss educational implications, limitations, and directions for future research.

Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is important to IDD researchers and to describe some challenges to evaluating it, with an eye towards nudging our subfield into a more thoughtful and measured interpretation of studies using MI.