Article
Psychology, Multidisciplinary
Jia-lu Zhao, Fu Chen, Xiao-ming Jia
Summary: The study developed a Doctoral Student Identity Scale through qualitative and quantitative analyses, consisting of identity exploration and identity commitment factors. The scale demonstrated good reliability and validity for measuring doctoral student identity.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Multidisciplinary
Yanhui Xiang, Yue Zhou
Summary: Although father love is important for the positive growth of the child, there is no reliable tool to assess the psychological absence of fathers. Thus, this study developed a scale called the father-love absence scale (FLAS) to measure adolescents' experiences of father-love absence from a psychological absence perspective. The FLAS demonstrated satisfactory reliability and validity, consisting of four factors: emotional absence, cognitive absence, behavioral absence, and volitional absence. It is concluded that the FLAS is a valuable tool for assessing father-love absence.
BEHAVIORAL SCIENCES
(2023)
Article
Psychiatry
Kiira Karoliina Sarasjarvi, Marko Elovainio, Kaija Appelqvist-Schmidlechner, Pia Solin, Nina Tamminen, Sebastian Therman
Summary: This study examined the psychometric properties of the Warwick-Edinburgh Mental Well-being Scales in the Finnish general population. The results showed that the full scale had good internal consistency and convergent validity, while the abbreviated version was more suitable for assessing overall mental well-being.
PSYCHIATRY RESEARCH
(2023)
Article
Psychology, Multidisciplinary
Abdullah Alamer
Summary: The study aimed to assess the construct validity of the Self-Determination Theory in Second Language Scale (SDT-L2) using advanced bifactor-Exploratory Structural Equation Modeling (ESEM) method. The results demonstrated the usefulness of bifactor ESEM for construct validation and showed that SDT-L2 is a valid scale for assessing students' L2 motivation.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychiatry
Florian Seemueller, Rebecca Schennach, Richard Musil, Michael Obermeier, Mazda Adli, Michael Bauer, Peter Brieger, Gerd Laux, Wolfgang Gaebel, Peter Falkai, Michael Riedel, Hans-Juergen Moeller
Summary: This study analyzed data from 1014 inpatients with major depression and found that the factor structures of three different depression scales were comparable to previous research. It highlighted the importance of using multiple measures to evaluate depression.
Review
Mathematics, Interdisciplinary Applications
Isaiah Persson, Jam Khojasteh
Summary: This article reviews EFA modules in Python packages such as statsmodels, FactorAnalyzer, and scikit-learn, discussing their official documentation, features, and performance on an applied example.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2021)
Article
Multidisciplinary Sciences
Valentine J. Owan, Francisca N. Odigwe, Abigail E. Okon, Jennifer U. Duruamaku-Dim, Isaac O. Ubi, Emmanuel E. Emanghe, Mercy V. Owan, Bassey A. Bassey
Summary: This study used quantitative methods to analyze the impact of staff motivation, placement, and retraining on teachers' job commitment. The findings indicate that retraining is an important predictor of affective commitment, normative commitment, and continuance commitment, while placement and motivation do not significantly contribute to employees' job commitment.
Article
Green & Sustainable Science & Technology
Fazilah Hatta Antah, Muhamad Azry Khoiry, Khairul Nizam Abdul Maulud, Ahmad Nazrul Hakimi Ibrahim
Summary: This study examines the acceptance of geospatial technology with Light Detention and Ranging (LIDAR) in road design in Malaysia. The study identifies barriers, motivation, and strategy as factors that influence the use of LIDAR among engineers. Barrier and strategy factors are found to significantly affect the acceptance of LIDAR, while motivational factors do not have a significant impact. The study provides suggestions for future research in this area.
Article
Green & Sustainable Science & Technology
Norfadillah Derahim, Kadir Arifin, Wan Mohammad Zaidi Wan Isa, Muhammad Khairil, Mahfudz Mahfudz, Muhammad Basir Ciyo, Muhammad Nur Ali, Ilyas Lampe, Muhammad Ahsan Samad
Summary: The study demonstrates the importance of organizational safety climate on the safety and health status of workers in the Malaysian urban rail transport industry. By developing an organizational safety climate model, the safety level of workers within the organization can be improved.
Article
Engineering, Industrial
Soojin Yoon, JungHo Jeon, Hubo Cai, Makarand Hastak
Summary: The Purdue Construction Index (Pi-C) is a tool for data-driven decision-making, evaluating the health of the construction industry by measuring trends in five dimensions and aiming to become a reliable index with new metrics and dimensions. A framework for verification and validation of Pi-C was proposed and tested, confirming the stability of the structure and the addition of a new metric, supply, for a balanced Pi-C structure.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2021)
Article
Psychology, Multidisciplinary
Timo Lorenz, Leonie Hagitte, Priscilla Rose Prasath
Summary: This study validated the English and German versions of the revised Compound PsyCap Scale (CPC-12R) in samples from the US and Germany, and found that the CPC-12R is an economical, valid, reliable, and applicable tool to assess psychological capital in both countries. The scalar measurement invariance highlights the importance of cultural background and cross-cultural research in future PsyCap research.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Education & Educational Research
David A. G. Berg, Einar M. Skaalvik, Mustafa Asil, Mary F. Hill, Marit Uthus, Truls N. Tangen, Jeffrey K. Smith
Summary: This paragraph points out the motivation for future teacher education and the sources of teacher stress, as well as the negative portrayal of the teaching profession and the expectations of future teachers. This raises questions for students entering teacher education about whether they are suitable for this profession and whether they will be successful.
TEACHING AND TEACHER EDUCATION
(2023)
Review
Business
Matt C. Howard
Summary: In this article, the application and reporting of exploratory factor analysis (EFA) in management are reviewed. Modern guidelines for EFA are provided based on recommendations from relevant reviews and simulation studies, highlighting concerns associated with Harman's one-factor test. A systematic literature review of 1,790 articles and 3,396 EFAs reveals that widespread guidelines for EFA are infrequently applied, and essential aspects of EFAs are often not reported, leading to uncertainty about the correct conduct of analyses. Visual guides and a checklist are provided to aid future researchers in applying and reporting EFA.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Criminology & Penology
Kathryn E. Bruzios, Paige M. Shaffer, Thomas Byrne, Debra A. Pinals, Max Trojano, Karen Pressman, David Smelson
Summary: The ability to work in a team is highly demanded in the professional field and is considered a key aspect for educational systems. This study aims to validate a scale measuring perceptions of teamwork skills among vocational training students in southern Spain. Through exploratory and confirmatory factor analyses, a scale consisting of 10 indicators of teamwork skills was developed. These indicators were grouped into three dimensions: teamwork behaviors, importance ratings of teamwork, and self-perceptions of teamwork capabilities. The scale showed adequate fit indices, indicating its robustness and reliability as a tool for assessing vocational training students' perspectives on teamwork skills.
INTERNATIONAL JOURNAL OF OFFENDER THERAPY AND COMPARATIVE CRIMINOLOGY
(2023)
Article
Social Sciences, Interdisciplinary
Joshua W. Katz, Todd G. Morrison, Cormac O. Beaglaoich
Summary: After analyzing the completion of the MAMS and AMIRS scales by 221 Irish adolescents, it was found that these scales do not have structural validity within an Irish context, suggesting that cultural differences should be taken into consideration in research design.
Article
Green & Sustainable Science & Technology
Thanapong Champahom, Sajjakaj Jomnonkwao, Woraanong Thotongkam, Pornsiri Jongkol, Porntip Rodpon, Vatanavongs Ratanavaraha
Summary: This study aimed to understand parents' attitudes toward child safety seat (CRS) use based on the health belief model (HBM) theory. The study split the model into two sub-models: parents who use CRS and parents who do not use CRS. The results showed that different factors influenced the use of CRS for the two parent groups, with the perceived severity and cues to action being significant for CRS users.
Article
Green & Sustainable Science & Technology
Thanapong Champahom, Chamroeun Se, Sajjakaj Jomnonkwao, Tassana Boonyoo, Vatanavongs Ratanavaraha
Summary: This study investigated the factors influencing the severity of motorcycle crashes on local roads, focusing on the impact of high speeds and intersections. Data from motorcycle crashes in Thailand between 2015 and 2020 were analyzed, separating young and older riders. Four groups of factors were considered: driver, crash, environmental, and road factors. The results showed differences between the two rider groups and identified significant variables such as address and road surface. These findings were used to develop policy recommendations for reducing the severity of motorcycle crashes on local roads.
Article
Ergonomics
Panuwat Wisutwattanasak, Sajjakaj Jomnonkwao, Chamroeun Se, Thanapong Champahom, Vatanavongs Ratanavaraha
Summary: The purpose of this study is to assess the financial losses caused by road accidents on Thailand's highways and the related factors using the willingness-to-pay (WTP) approach. Data were obtained from urban and rural car drivers through a stated choice questionnaire and face-to-face interviews. The results showed significant differences in the value of road safety and WTP between urban and rural drivers.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Green & Sustainable Science & Technology
Woraanong Thotongkam, Thanapong Champahom, Chartaya Nilplub, Warantorn Wimuttisuksuntorn, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha
Summary: Due to the impact of the 2019 Coronavirus epidemic, the tourism industry has been significantly affected. This study aims to identify factors that influence motivation and travel frequency. Data analysis was conducted using factor analysis and Structural Equation Modeling based on a comprehensive questionnaire distributed to 2100 participants in Thailand. The results indicated that the model was consistent with the empirical data, with supported hypotheses in both during and post-COVID-19 periods. Policy recommendations and public relations guidelines were proposed to encourage more frequent travel. Rating: 8/10.
Article
Chemistry, Multidisciplinary
Thanapong Champahom, Chamroeun Se, Fareeda Aryuyo, Chinnakrit Banyong, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha
Summary: This study examines the factors influencing injury severity among Young Adult Motorcyclists (YAMs) on local roads in urban and rural areas. The findings highlight the importance of factors such as the absence of a valid driver's license, exceeding speed limits, and male drivers in increasing the likelihood of fatal outcomes in motorcycle accidents. The study also reveals interesting patterns in nighttime accidents involving motorcycles. The results emphasize the need for targeted policy recommendations and measures to reduce the severity of accidents involving YAMs.
APPLIED SCIENCES-BASEL
(2023)
Article
Public, Environmental & Occupational Health
Panuwat Wisutwattanasak, Sajjakaj Jomnonkwao, Buratin Khampirat, I-soon Raungratanaamporn, Vatanavongs Ratanavaraha
Summary: This study examined the damage caused by road accidents and analyzed the factors influencing drivers' willingness-to-pay using the WTP approach. The results showed that the Health Belief Model and sociodemographic factors influenced drivers' intention to pay, while district-level factors had a negative impact on the intention to pay for road safety measures.
INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Thanapong Champahom, Panuwat Wisutwattanasak, Chamroeun Se, Chinnakrit Banyong, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha
Summary: This study analyzed factors influencing single-vehicle crash for personal cars and trucks using machine learning and econometric analysis. The results showed that the mixed binary logit model had higher prediction accuracy compared to the decision tree model. Factors such as driver gender, seat belt usage, mount the island, defect equipment, and safety equipment were found to influence injury severity.
Article
Psychology, Multidisciplinary
Panuwat Wisutwattanasak, Thanapong Champahom, Sajjakaj Jomnonkwao, Fareeda Aryuyo, Chamroeun Se, Vatanavongs Ratanavaraha
Summary: The COVID-19 pandemic has disrupted railway transportation in developing countries, leading to decreased passenger demand and economic activity. This study investigated the factors influencing service quality and intention to use intercity train services in Thailand. The findings revealed that train operators' service standards and passengers' health beliefs significantly impact passengers' intentions to use train services after the epidemic.
BEHAVIORAL SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha, Rattanaporn Kasemsri
Summary: Machine learning plays a crucial role in predicting collision severity, particularly in industrial zones where accidents involving both trucks and non-trucks contribute to increased injuries and fatalities. By analyzing factors such as roadway characteristics, crash characteristics, and weather conditions, machine learning can accurately predict the severity of collision outcomes and aid in the formulation of targeted road safety measures and policies.
BIG DATA AND COGNITIVE COMPUTING
(2023)
