Confirmatory Factor Analysis Approach Research Articles

Decoding Pandemic Stress: Analysing Mental Health of Tea Workers in India

This research article aims to investigate the factors that affected the mental health of tea workers during the COVID-19 pandemic. The study provides essential insights into the psychological factors affecting tea workers during this critical time. Data were collected through semi-structured questionnaires from 532 tea workers in the north-eastern region of India. The collected data were analysed using confirmatory factor analysis and structural equation modelling approaches. The study found that all the factors investigated significantly impacted employee stress during the COVID-19 pandemic. However, safety perception and contagion risk were found to have the strongest influence on stress, followed by unknown and information overload, social exclusion and humiliation, monetary loss and job uncertainty, and quarantine and restraint. Additionally, the study confirms that stress at the onset of the COVID-19 pandemic can lead to depression among tea workers, which is also related to insomnia and relationship troubles. Investigating the various dimensions of COVID-19 stressors among tea workers is crucial for the government and management to understand the root causes of the problem. By understanding the contributing factors to mental health issues, we can develop appropriate interventions to support the well-being of tea workers, providing a blueprint for mitigating the potential adverse effects of future pandemics.

Decomposing the True Score Variance in Rated Responses to Divergent Thinking-Tasks for Assessing Creativity: A Multitrait-Multimethod Analysis.

It is shown how the Correlated Traits Correlated Methods Minus One (CTC(M - 1)) Multitrait-Multimethod model for cross-classified data can be modified and applied to divergent thinking (DT)-task responses scored for miscellaneous aspects of creative quality by several raters. In contrast to previous Confirmatory Factor Analysis approaches to analyzing DT-tasks, this model explicitly takes the cross-classified data structure resulting from the employment of raters into account and decomposes the true score variance into target-specific, DT-task object-specific, rater-specific, and rater-target interaction-specific components. This enables the computation of meaningful measurement error-free relative variance-parameters such as trait-consistency, object-method specificity, rater specificity, rater-target interaction specificity, and model-implied intra-class correlations. In the empirical application with alternate uses tasks as DT-measures, the model is estimated using Bayesian statistics. The results are compared to the results yielded with a simplified version of the model, once estimated with Bayesian statistics and once estimated with the maximum likelihood method. The results show high trait-correlations and low consistency across DT-measures which indicates more heterogeneity across the DT-measurement instruments than across different creativity aspects. Substantive deliberations and further modifications, extensions, useful applications, and limitations of the model are discussed.

Determinants of Parental School Selection for Early Childhood Education: A Confirmatory Factor Analysis (CFA) Approach

Choosing the most suitable education for their children is often challenging for parents due to the many factors that must be considered. The desire to find the ideal kindergarten is complicated by the need to meet various criteria, leading to confusion and difficulty in decision-making. This study addresses this complexity by employing Confirmatory Factor Analysis (CFA) to simplify selection. Focusing on TKIT Al Farabi, the research validates a hypothesised model comprising ten critical factors: location, accreditation, facilities, fees, curriculum, religious education, teacher competence, extracurricular activities, school order and cleanliness, and alumni achievements. Data were collected from 154 parents through a structured questionnaire and analysed using SPSS software. The CFA results confirmed five dominant factors: school excellence, teacher professionalism, education costs, social development, and language development, collectively explaining 60.9% of the total variance. The study demonstrates that the CFA method effectively aids parents in making quick and accurate decisions regarding early childhood education. The findings also emphasise the significance of academic and non-academic attributes in school selection, suggesting that educational institutions should adopt more holistic curricula. These results have substantial implications for policymakers and educational administrators, underscoring the need for integrated programs that align with the diverse expectations of parents. Despite the study's valuable insights, further research in diverse settings is recommended to enhance the generalizability of the findings.

The Inventory of Callous-Unemotional Traits (ICU) self-report version: Factor structure, measurement invariance, and predictive validity in justice-involved male adolescents.

The Inventory of Callous-Unemotional Traits (ICU) is a widely used measure of callous-unemotional (CU) traits that may aid in the assessment of the diagnostic specifier "with limited prosocial emotions," which has been added to diagnostic criteria for conduct disorder. Though there is substantial support for use of the ICU total score, the scale's factor structure has been highly debated. Inconsistencies in past factor analyses may be largely attributed to failure to control for method variance due to item wording (i.e., half of the items being worded in the callous direction and half worded in the prosocial direction). Thus, the present study used a multitrait-multimethod confirmatory factor analytic approach that models both trait and method variance to test the factor structure of the ICU self-report in a clinically relevant, high-risk sample of justice-involved male adolescents (N = 1,216). When comparing the fit of empirical and theoretical models, goodness of fit indices (χ² = 1105.877, df = 190, root-mean-square error of approximation = .063, comparative fit index = .916, Tucker-Lewis index = .878, standardized root-mean-square residual = .051) provided support for a hierarchical four-factor model (i.e., one overarching callous-unemotional factor, four latent trait factors) when accounting for method variance (i.e., covarying positively worded items). This factor structure is consistent with the way the ICU was constructed and with criteria for the limited prosocial emotions specifier. In addition, measurement invariance of this factor structure across age, race, and ethnicity was supported, and the predictive validity of the ICU was supported across these demographic groups in predicting self-reported antisocial behavior and rearrests over a 5-year period following an adolescent's first arrest. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Toward a more culturally nuanced approach to assessing athletic and exercise identities in sport psychology research: a confirmatory factor analysis approach with South Korean male student-athletes

ABSTRACT The identities of “athlete” and “exerciser” share conceptual similarities but can be differentiated by the ways in which their respective objectives, motivations, and intentions significantly diverge. However, there is a gap in the literature addressing the ambiguity and inconsistent use of these terms in the context of South Korea. The linguistic discrepancy in how these terms are conceptualised and operationalised has important implications for the study of athletes’ long-term health and well-being, where a nuanced perspective on identity is necessary for understanding physical activity behaviour and health outcomes through the transition out of competitive sport. Therefore, the purpose of this study was to refine the terminology used in the previously translated versions of the Athletic Identity Measurement Scale and Exercise Identity Scale and examine whether refined questionnaires appropriately represent similar but distinct concepts. Using software program R, this aim was addressed through a two-factor confirmatory factor analysis of the measurement scales within a sample of South Korean male student-athletes (N = 232, Mage = 19.93 ± 1.22 years). Global fit indices of the final model demonstrated acceptable fit χ2 (101) = 208.512, p < .01, CFI = .95, RMSEA = .07 (90% Confidence Interval: .06 – .08), SRMR = .06 and the local fit indices further supported convergent and discriminant validity of the scales within the sample. Recognition of cultural differences and nuances related to the terms “athlete” vs. “exerciser” and “sport” vs. “exercise” is important for fostering a comprehensive understanding of these identities within sport and exercise psychology research.

Development and assessment of analytic methods to improve the measurement of cognition in longitudinal studies of aging through the use of substudies with comprehensive neuropsychological testing.

The Health and Retirement Study International Partner Surveys (HRS IPS) have rich longitudinal data, but the brevity of cognitive batteries is a limitation. We used data from a substudy of the English Longitudinal Study of Ageing (ELSA) administering detailed cognitive assessments with the Harmonized Cognitive Assessment Protocol (ELSA-HCAP) (N=1273) to inform approaches for estimating cognition in ELSA (N=11,213). We compared two novel approaches: confirmatory factor analysis (CFA)- and regression-based prediction. Compared to estimates from the full HCAP battery, estimated cognitive functioning derived using regression models or CFA had high correlations (regression: r=0.85 [95% confidence interval [CI]: 0.83 to 0.87]; CFA: r=0.83 [95% CI: 0.81 to 0.85]) and reasonable mean squared error (regression: 0.25 [0.22 to 0.27]; CFA: 0.29 [0.26 to 0.32]) in held-out data. The use of additional items from waves 7 to 9 improved performance. Both approaches are recommended for future research; the similarity in approaches may be due to the brevity of available cognitive assessments in ELSA. Estimates of cognitive functioning informed by English Longitudinal Study of Ageing-Harmonized Cognitive Assessment Protocol (ELSA-HCAP) data had an adequate performance. Standard errors were smaller for associations with example risks when using measures informed by ELSA-HCAP. Performance was better when including additional cognitive measures available in waves 7 to 9. Conceptual advantages to the confirmatory factor analysis (CFA) approach were not important in practice due to the brevity of the ELSA cognitive battery.

Validation of the Dundee Ready Education Environment Measure in Iran through factor analysis

Introduction: Although the Dundee Ready Educational Environment Measure (DREEM) has been accepted for educational environment assessment in various health education backgrounds, limited studies have confirmed evidence for its use in Iran. This study examined a shortened version of the DREEM-50 among Iranian students. Method: A sample of 316 medical and paramedical students from Iran's selected southwest Universities of Medical Sciences in 2020–2021 were invited to complete DREEM-33, a shortened version of the DREEM questionnaire. Psychometric criteria for assessing reliability included Cronbach's alpha, intracluster correlation coefficient (ICC), and composite coefficients. In the construct validity section, discriminant validity was measured using the Fornell and Larcker criteria based on the confirmatory factor analysis approach, and principal component analysis with varimax rotation using the exploratory factor analysis approach. Data were analyzed using SPSS 25, Smartpls 3.2.8, and Lisrel 8.8 software. Results: The shortened version had 33 items spread across all five components of DREEM-50. The exploratory factor analysis showed that the five components with eigenvalues &gt; 1 accounted for 61% of the variance. Also, standard factor loadings ranged from 0.52 to 0.86. Confirmatory factor analysis supported the original five components of the DREEM (χ2= 2106.35; DF=490; P&lt;0.001; CFI=0.94; GFI=0.86; AGFI=0.91; NFI=0.93; SRMR=0.038; RMSEA=0.08). The ICC and Cronbach's alpha for the whole DREEM was 0.92. All subscales had values ranging from 0.72 to 0.93. Conclusion: With satisfactory psychometric properties, the abbreviated DREEM-33 demonstrated its validity and reliability for future use in Iran in various educational environments.

Structural determinants of the uptake of cyber-physical systems for facilities management – a confirmatory factor analysis approach

PurposeCyber-physical systems (CPS) offer improved delivery of facilities management (FM) mandates through their advanced computational capabilities. Using second-order multivariate analysis, this study explores the drivers of the espousal of this digital technology for FM.Design/methodology/approachThe study employed a deductive approach underpinned by a post-positivist philosophical stance using a quantitative technique aided by a well-structured questionnaire. Data retrieved from the study’s respondents were analysed with descriptive statistics, Kruskal–Wallis h-test, exploratory factor analysis and confirmatory factor analysis.FindingsThe result of the analysis conducted portrayed evidence of convergence and good measures while the estimated model parameters all attained prescribed fit indexes. Also, it was revealed that the most influential drivers for the uptake of CPS for FM mandates are resource allocation for system procurement, top management willingness, system stability and compatibility with the previous system.Practical implicationsThe study’s findings unravel the necessitated parameters that would instigate the adoption of CPS for the delivery of FM activities by organisations while also propelling the digital transformation of construction project delivery at the post-occupancy phase.Originality/valueThis is the first study to empirically assess the propelling measures for incorporating CPS for FM using second-order multivariate analysis. Consequently, the study's outcome helps close this knowledge gap.

Halal supply chain resilience index: development and implementation of measurement tool

PurposeThis study aims to develop a measurement model of the halal supply chain resilience (HSCRES) index, which represents the capability of the supply chain (SC) to handle disruption caused by halal risks. A case study is conducted to apply the HSCRES index in the halal chicken SC in Yogyakarta, Indonesia, to test the proposed methodology.Design/methodology/approachA literature synthesis was conducted to establish the main capability and vulnerability factors and their relevant indicators. The indicators were validated using the confirmatory factor analysis approach. Then, applying an analytical hierarchy process involving ten experts – practitioners and academicians – the weight of each indicator was obtained. A survey of 20 employees of slaughterhouses, 35 sellers and 100 consumers was conducted to obtain the value of each indicator. Finally, the HSCRES index was calculated by comparing the total weighted capability value to vulnerability.FindingsThe results revealed that the resilience of halal chicken SC in Yogyakarta is at a good level, with an index of 3.459, and “halal team” is the most significant indicator. The findings also revealed several capabilities that need improvement, including dedicated halal facilities, employees’ halal competence and halal regulation. However, the lack of a halal certification board, lack of management commitment and packaging contamination were found as vulnerability indicators that need to be reduced.Research limitations/implicationsThe case of this study is limited to the halal chicken SC in Yogyakarta, Indonesia. As a consequence, the obtained results are limited to a specific context. The application of this method to different areas and objects enables the establishment of different capability and vulnerability indicators.Practical implicationsThe halal resilience measurement model offers a comprehensive understanding of the strengths and weaknesses of the HSC. The findings can help stakeholders improve preparedness for halal risks, deal with halal risks better and recover more quickly. Measuring the HSCRES index can be particularly useful for policymakers in developing evidence-based strategies to increase HSCRES.Originality/valueThe current study is the first to define and classify the contributing halal resilience attributes and also to calculate the halal resilience index.

Sex/gender differences in general cognitive abilities: an investigation using the Leiter-3.

Research has shown that differences between males and females are not in general intelligence, but only in some specific factors and tasks. We used the Italian standardization of the Leiter-3, which is a completely nonverbal cognitive battery, to investigate the nature of sex/gender (we used sex/gender to reflect the awareness that the effects of biological 'sex' and socially constructed 'gender' cannot be easily separated and that most individuals' identities are informed by both sex and gender) differences. In doing so we used a multigroup confirmatory factor analysis approach. Results confirmed that males and females perform similarly in general intelligence, but present with some specificities. Males perform better on some, but not all, tasks requiring the spatial manipulation of the stimuli, but females consistently outperform males in tasks such as the nonverbal Stroop, requiring inhibition and attention control to a larger extent. The clinical and practical implications of our findings are considerable. The identification of specific cognitive strengths and weaknesses in males and females underscores the importance of tailored approaches in clinical assessments and interventions.

Validation of the Malay version of the recovery-stress questionnaire for athletes: Application of confirmatory factor analysis and exploratory structural equation modeling

The Recovery-Stress Questionnaire for Athletes (RESTQ-Sport-52) is a tool developed to measure the frequency of stress associated through recovery activities with strong theoretical foundations. The study aims to examine the psychometric properties of the Malay version of RESTQ-Sport-52 using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). A cross-sectional study with purposive sampling method was employed. There were 617 undergraduate university students in Malaysia participated in the study with mean age of 20 years old (SD = 1.5). The majority of the participants were female (66.1 %), Malay (76 %) and participated in at least one sport or exercise. The RESTQ-Sport-52-M consisted of 52 items with two main sections; (1) general stress and recovery scales and (2) sport-specific stress and recovery scales. Mplus 8.3 was used to perform the CFA and ESEM analysis to examine the construct validity and reliability of RESTQ-Sport-52-M. For measurement model assessment using CFA, the final model of general-stress/recovery and sport-specific stress/recovery indicated a fit based on several fit indices. However, in the measurement model assessment using ESEM, the fit indices for model of general-stress/recovery (CFI = 0.935, SRMR = 0.037, RMSEA = 0.045) and sport-stress/recovery (CFI = 0.923, SRMR = 0.036, RMSEA = 0.044) were generally improved. The construct reliability for measurement models of RESTQ-Sport-52-M ranged from 0.76 to 0.89. The ESEM approach yielded a better fit indices compared to the CFA approach for both scales. The RESTQ-Sport-52-M (50 items) were considered a more valid and reliable questionnaire to measure recovery and stress in sports for Malaysian sample.

Validating the Chinese version of short‐form foreign language classroom anxiety scale

AbstractThis three‐phase study utilized item response theory (IRT) and both exploratory and confirmatory factor analysis (EFA and CFA) approaches to validate the short‐form foreign language classroom anxiety scale (S‐FLCAS) for measuring Chinese college students' foreign language classroom anxiety (FLCA). The sample consisted of 855 Chinese college students. Phase 1 was conducted within the EFA and CFA frameworks to investigate the construct validity of the S‐FLCAS. Phase 2 was conducted within IRT frameworks to assess the reliability of this scale. Lastly, Phase 3 adopted multi‐group confirmatory factor analysis (MGCFA) to explore the measurement invariance across gender and second language (L2) learner groups. The findings revealed that the Chinese version of S‐FLCAS is a reliable and valid instrument, exhibiting unidimensional characteristics. Configural, metric, and scalar invariance were identified across gender groups, while configural, partial metric, and partial scalar invariance were observed across L2 groups. This study further discussed the reasons for some suboptimal performance of the S‐FLCAS and practical implications for researchers and university educators.

Executive function's structure in monolingual and bilingual adults using confirmatory factor analysis

Abstract In processing their two languages, bilinguals have to selectively attend to the target language and reduce interference from the non-target language. This experience may have specific cognitive consequences on Executive Functions (EF) through bilingual language processing. Some studies found cognitive consequences in executive functioning skills. However, other studies did not replicate these findings or found a bilingual disadvantage. The aim of this study was to test for the cognitive consequences of bilingualism in EF among a large number of young adults using a latent variable approach, to rule out non-EF task differences as an explanation for inconsistency across studies. Also, we were interested in testing the EF structure using the Confirmatory Factor Analysis (CFA) approach. The results did not support a cognitive consequence of bilingualism and also the EF structure was the same for both groups. We discuss other possible variables that might contribute to the mixed results across studies.

Empirical assessment of the impacts of Sino-African cross border relations in the construction industry: a Confirmatory Factor Analysis approach

PurposeIt is no news that Chinese construction companies are highly motivated to invest in Africa in terms of infrastructure and construction. This influx from the beginning of the millennium marked a game-changer for infrastructural development in most African countries. This study, therefore, explores how the partnership between China and Africa has impacted the construction industry in Africa with a focus on Nigeria.Design/methodology/approachA quantitative approach was adapted for the study, which is descriptive in nature, and the primary participants of the study were core construction professionals within the Nigerian construction industry. Data was collected via a structured questionnaire, and multivariate statistics was used to analyse the data.FindingsThe study results revealed that the benefits accrued from Chinese participation in the African construction industry can be classified into three distinct categories: socio-economic development through construction, land transportation system development and construction industry development. The study further revealed that Chinese involvement has been most beneficial to the development of the land transportation system in Nigeria with more investment in the construction and maintenance of roads and railways.Originality/valueThe study will serve as a basis for making informed future decisions on Chinese participation in the Nigerian construction industry as it exposes the impacts of the relationship within the current system. The outcome of this study can be used to refocus the partnership to ensure the optimum development of the local construction industry. The government and other relevant agencies can use the findings from this study to ensure that there is sustainable growth in the local construction industry through Chinese participation.

Psychometric Evaluation of the Food Life Questionnaire-Short Form among Brazilian Adult Women.

Measures of beliefs and attitudes toward food have generally been limited to the measurement of more pathological eating attitudes (e.g., disordered eating). The Food Life Questionnaire (FLQ) and its short form (FLQ-SF) were developed to examine attitudes toward a broader range of foods; however, the factor structure of the FLQ-SF was not confirmed in any study with young women. In the present study, we performed a psychometric evaluation of the Brazilian Portuguese translation of the FLQ-SF in a sample of 604 women. We evaluated the factor structure using a two-step, split-sample exploratory and confirmatory factor analytic approach. Results supported a four-factor structure (i.e., weight concern, diet-health orientation, belief in a diet-health linkage, and food and pleasure) with 18 items (χ2/df = 2.09; CFI = 0.95; TLI = 0.94; RMSEA = 0.05 (90% CI = 0.04; 0.06; p > 0.05); and SRMR = 0.08). Additionally, we found good internal consistency for all FLQ-SF subscales (McDonald's ω = 0.79-0.89) and convergent validity with measures of feelings, beliefs, and behaviors involved in food attitudes. Collectively, these results support the use of the FLQ-SF in Brazilian women and provide a foundation to expand the literature on beliefs and attitudes toward food in this population.

Analysis of the Influence of Product Cost and Perceived Advertising Costs Through Digital Devices on Digital Brand Equity of American Fast-Food Products McDonalds

The purpose of this research is to demonstrate and examine how perceived advertising budget and pricing deals affect perceived quality and brand image, as well as how brand loyalty, brand awareness, and brand image are affected. Descriptive research is what this study is doing. The research approach employed by the investigators was a cross-sectional design. In this study, a questionnaire is used to collect data. This study's target demographic consists of all individuals who have visited, seen, and bought merchandise. Scientists employed judgmental sampling, a non-probability sampling method. One hundred persons made up the research sample. This study makes use of the confirmatory factor analysis approach in conjunction with the SEM data processing technology. The analysis's findings indicated that perceived advertising spending positively impacted perceived quality. Brand loyalty is positively impacted by perceived ad spend. Brand recognition is positively impacted by perceived ad spending. Brand image benefits from perceived advertising expenditure. Discounts on prices positively impact the perception of quality. Discounts have a detrimental effect on a brand's reputation. Thus, these results provide important insights for companies in designing their marketing strategies. They need to carefully consider the allocation of their promotional funds, ensuring that investment in perceived advertising spending is balanced with the benefits derived while also being mindful of the risks associated with excessive use of price deals. By understanding the relationship between these factors, companies can optimize their marketing efforts to strengthen their brand image and improve their product performance in the marketplace.

The study of digital literacy components for youths during the COVID-19 pandemic in Bangkok, Thailand

&lt;span lang="EN-US"&gt;This research paper investigates digital literacy components for youths in Bangkok. The first phase used a qualitative method. The key informants were eight experts in information and communication technology (ICT), human resource (HR), and education. The second phase was to develop the measurement of digital literacy components using the confirmatory factor analysis (CFA) approach with a sample consisting of 1,362 youths in Bangkok. Data collection was conducted through a questionnaire with 52 questions. The results revealed that digital literacy criteria for youths in Bangkok consisted of four factors containing 13 indicators. The first factor and its related access components was three subcomponents, which are i) use of tools and devices; ii) data collection in the cloud; and iii) internet connection. The second factor was understanding components consisting of evaluation, ethics, and legal literacy. The third factor was use of components consisting of safeguarding, search, sharing, and innovation. The fourth factor was creating components consisting of creating weblogs/applications, presenting on website/application, and safeguarding. CFA was employed to test the construct validity of the research latent variables that revealed the harmony correlation of empirical data contained in this research model. These results were employed to develop a digital literacy for youth during the COVID-19 pandemic in Bangkok, Thailand.&lt;/span&gt;

PENGARUH KESADARAN HALAL, GAYA HIDUP, DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN SHOPEE FOOD

The dominating Muslim population in Indonesia and the increase in the number of products that have been halal certified have not been able to describe the consumption behavior of Muslims to be more selective in ensuring the halalness of a product. The purpose of this study is to research and analyze the influence of halal awareness, lifestyle, and product quality on Muslim consumers' decisions on the food delivery service application Shopee Food. The samples obtained were 120 respondents. The analytical tests used are data instrument quality tests, coefficient of determination (R2), classic assumption test, principal component regression analysis with a confirmatory factor analysis approach, t test, and F test. The results of the analysis state partially and simultaneously the variables of halal awareness, lifestyle , and product quality has a significant positive effect on purchasing decisions in the Shopee Food application.

Measurement of Model Business Environment, Entrepreneurial Orientation, and Innovation Capability: Confirmatory Factor Analysis Approach

Micro, Small and Medium Enterprises (MSMEs) play a crucial role in the Indonesian economy and are regarded to have the potential to reduce poverty by creating employment opportunities. Malang City predominantly relies on micro, small, and medium-scale economic activities, particularly Batik MSMEs, which are crucial in supporting the tourism sector. The term commonly used to refer to Malang Batik is "Malangan" Batik. This research aims to conduct a confirmatory factor analysis to examine the measuring model of the business environment, entrepreneurial orientation, and innovation capacity. A total of 100 batik micro, small, and medium enterprises (MSMEs) in Malang City were selected as the sample for this research. The data analysis was conducted using confirmatory factor analysis (CFA) methodologies. According to the results of the confirmatory factor analysis, it was determined that the customer indicator had the most significant impact on shaping business environment variables. Risk-taking is regarded as the primary factor that significantly influences the formation of the entrepreneurial orientation characteristic. Marketing innovation is the most reliable sign of developing innovation capabilities. Malang City's Batik MSME companies are actively engaging in collaboration with suppliers, demonstrating a proactive approach in seeking market prospects and promoting new goods in untapped areas. Additionally, there is a need to enhance technological innovation.

Validation of a Mathematics Teaching Assessment Scale for K-12 Basic Education: A Confirmatory Factor Analysis Approach

Mathematics teaching in the K-12 Basic Education Curriculum encourages educators to adopt student-centered approaches and emphasize the development of 21st-century skills. Assessing the pedagogical practices of mathematics teachers using a specific tool validated through quantitative approaches is essential to ensure the effectiveness and quality of mathematics instruction. While previous research has focused on instrument validation in various areas, including self-efficacy of math teachers, mathematics teachers’ anxiety, and online education, existing classroom observation tools have limitations, particularly in assessing public school teachers' performance specifically intended for mathematics teachers. This study aimed to validate a mathematics teaching assessment scale. The scale, constructed based on the Department of Education's classroom observation tool, initially comprised 22 items across four constructs: Mastery of the K-12 Mathematics, Teaching Methodologies, ICT Integration, and Assessment of Learning. The scale was validated through content validation, reliability testing, inter-item correlation, confirmatory factor analysis (CFA), convergent validity, and discriminant validity. A total of 687 mathematics teachers from four public schools in each of the five municipalities of the National Capital Region participated. Content validity was established by eight experts using the Scale Content Validity Index and Item-Content Validity Index, with indices exceeding 0.833, indicating validity. Each construct demonstrated desirable reliability indices based on Cronbach's alpha and composite reliability coefficients. Confirmatory Factor Analysis removed six indicators, resulting in a final scale of 16 items across four constructs. The validated instrument can effectively evaluate mathematics teachers' classroom teaching, focusing on 21st-century skills and student-centered approaches.