Transforming Learning: The Role of School-Related Factors in Student Achievement by Abigail Oluyemisi Fadere, Olaolu Paul Akinnubi, Clement Aliu Ogbaini

“…Data was collected through structured questionnaire surveys filled out by teachers and students, as well as in-depth interviews with several principals. Data analysis was performed using descriptive and inferential statistics, including Pearson correlation analysis and multiple regression. …”
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The influence features of individual factors on EU countries’ energy markets by Vladyslav Honcharenko, Svitlana Kasyan, Anatolii Filin

“…To assess the influence degree of energy market indicators on macroeconomic development, which allows to identify the important factors for analysis and to indicate the general position of energy markets in the economy there are used following general scientific methods: systematic, logical and descriptive; analysis and synthesis; statistical; economic-mathematical modeling, namely the construction of a correlation-regression model. …”
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Treating Periodontitis Strictly Non-Surgically—A Retrospective Long-Term Analysis of Tooth Loss During Supportive Periodontal Care by Marco Michael Herz, Sandra Braun, Nina Hoffmann, Stefan Lachmann, Valentin Bartha, Hari Petsos

“…Each parameter was tested for significance in a bivariate analysis, before a multilevel logistic regression analysis was performed to identify possible factors with an impact on PTL during SPC. …”
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A 10-year longitudinal analysis of the impact of demographic, lifestyle, and medical factors on semen qualities in men in a city in the midwestern region of the United States of Am... by Malik Scott, Anaelena Rodriguez, Orry Marciano, Rachel Nordgren, Scott D Lundy, Omer A Raheem

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Factors associated with the serum 25-hydroxyvitamin D levels in adults by Sue-Hsien Chen, Shu-Ching Chen, Yo-Ping Lai, Pin-Hsuan Chen, Kun-Yun Yeh

“…Abstract Background Hypovitaminosis D has a significant negative impact on general health. Although some factors associated with hypovitaminosis D have been previously reported, they have seldom been analyzed simultaneously in community-based research. …”
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Factors Associated with Goal Achievement in Patients with Dyslipidemia in Primary Care by Pinto-González, Gustavo, Uribe-Velez, Natalia Andrea, Quirós-Gómez, Oscar Iván

“…The median age was 63 years. 62.6% were female. 88.4% of patients were hypertensive. 43.5% had very high cardiovascular risk, and only 34.7% of patients met LDL goals. Factors associated with goal achievement in the bivariate analysis were: sex, diabetes, hypertension, cardiovascular risk, and statin intensity and type. …”
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Factors Affecting Satisfaction in Home Health Services: Trust and Quality by Hasan Sadık Tatlı, Halim Kazan

“…The SPSS 21 Package Program was used to analyze the data obtained from the study. As a result of the regression analysis, the quality of staff (R2=0,234) and trust (R2=0,345) have a profound effect on patient satisfaction. …”
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Latent profile analysis of health literacy in patients with chronic kidney disease and its impact on quality of life by XIAO Ningting, CHEN Lili, YANG Ying, LI Li

“…Mplus 8.0 software was used to analyze the potential profiles of health literacy, and Logistic regression was used to analyze the influencing factors of quality of life.Results A total of 348 CKD patients were included. …”
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Burden, patterns, and risk factors of esophageal cancer mortality in China, 2008-2021: a national mortality surveillance system data analysis by Yunfei Jiao, Tinglu Wang, Lin Fu, Ye Gao, Zhiyuan Cheng, Lei Xin, Jinfang Xu, Han Lin, Wei Wang, Maigeng Zhou, Jinlei Qi, Zhaoshen Li, Luowei Wang

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Antimicrobial Resistance and Risk Factors of Canine Bacterial Skin Infections by Qian Wang, Siyu Chen, Shizhen Ma, Ying Jiao, Huiyi Hong, Siying Wang, Wei Huang, Qi An, Yu Song, Xukun Dang, Gege Zhang, Haiqin Ding, Yang Wang, Zhaofei Xia, Lu Wang, Yanli Lyu

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Attitude-Predictive Control of Large-Diameter Shield Tunneling: PCA-SVR Machine Learning Algorithm Application in a Case Study of the Zhuhai Xingye Express Tunnel by Hui Li, Yijun Tan, Decheng Zeng, Dong Su, Shiye Qiao

“…Specifically, a principal component analysis–support vector regression (PCA-SVR) hybrid model was constructed, based on principal component analysis. …”
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Determinants of Government Expenditures in the Baltic States by Milena Filipova, Antonina Djakona, Volodymyr Haram

“…This study aims to examine the key determinants of government expenditures in the Baltic States and to assess the predictive capacity of macroeconomic indicators using regression-based modelling. The research is based on data from 1998 to 2023 and utilizes Pearson correlation analysis, simple and multiple linear regressions, and regression-based forecasting. …”
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Influence of microenvironmental factors on tobacco consumption among Spanish youth by Cristina Sota Rodrigo, María-Camino Escolar-Llamazares, Elvira Isabel Mercado Val, María Ángeles Martínez Martín, Ángela Sanllorente Rodríguez, María Consuelo Sáiz-Manzanares

“…Both the intervention and data collection complied with the established ethical principles. Statistical analysis included descriptive techniques, bivariate and multivariate analyses and binary logistic regression models. …”
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Latent Profile Analysis and Determinants of Marital Adjustment in Patients with Breast Cancer by Chen XF, Shen C, Gu ZF, Dong C, Zhuang Y, Lu LH, Lu P, Li YJ

“…These patients were surveyed using a general data questionnaire, the Revised Dyadic Adjustment Scale (RDAS), the Interpersonal Reactivity Index-C (IRI-C), and the Emotional Regulation Self-Efficacy Scale (RESS). Latent profile analysis (LPA) was used to determine different types of marital adjustment among patients, and influencing factors for the various profiles were identified through univariate analysis and multivariate logistic regression analysis.Results: Marital adjustment in patients with breast cancer was categorized into three latent profiles: the “low marital adjustment-low cohesion group” (20.2%), the “midlevel marital adjustment group” (35.3%), and the “high marital adjustment-satisfaction group” (44.4%). …”
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Social-Cultural Factors And Coffee Consumption In Rukungiri District Uganda by moses Agaba

“…The quantitative data were analyzed using SPSS Version 23.0 and the thematic analysis method was used to analyze the qualitative data. …”
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Technological Factors And coffee Consumption In Rukungiri District, Southwestern Uganda. by Turyasingura, Moses, Moses, Agaba

“…The quantitative data were analyzed using SPSS Version 23.0 and the thematic analysis method was used to analyze the qualitative data. …”
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Social-Cultural Factors And Coffee Consumption In Rukungiri District,Uganda. by Turyasingura, John Bosco, Moses, Agaba

“…The quantitative data were analyzed using SPSS Version 23.0 and the thematic analysis method was used to analyze the qualitative data. …”
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Spatial Analysis of Rural Settlement Systems within the Framework of Land Use Planning Using Geographic Information Systems (Case Study: Aq Su Rural District) by Seyed Mohammad Mousavi Parsaei

“…To measure the impact of vulnerability factors on the spatial distribution of rural settlements, multiple regression analysis was utilized. …”
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HIV Transmission Misconceptions and Their Associated Factors Among Reproductive-Age Women in Somalia: Findings from a Nationwide Study by Mohamud LA, Hassan-Kadle MA, Abdullahi HM, Ahmed AA

“…This study examines the associations between misconceptions about HIV transmission and sociodemographic factors among Somali women. Identifying regions and groups with limited awareness will help prioritize targeted education and healthcare interventions, aligning with the National Strategic Plan (NSP).Methods: A multivariable Bayesian logistic regression model was used to analyze data from the 2018– 2019 Somali Demographic and Health Survey (SDHS). …”
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Risk factors for general complications after hip or knee replacement surgery in elderly patients: a single-center study by Huaxing Zhang, Jingjing Cao, Jia Chen, Xiaoran Ning

“…Risk factors and the effects of the model were examined by unconditional binary logistic regression analyses and receiver operating characteristic (ROC) curve analysis, respectively. …”
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