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Journal articles on the topic 'Influential Variables'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Li, Weiming. "Influential Variables in Serials Automation." Serials Librarian 25, no. 1-2 (1994): 97–114. http://dx.doi.org/10.1300/j123v25n01_08.

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2

Schall, Robert, and Timothy T. Dunne. "influential Variables in Linear Regression." Technometrics 32, no. 3 (1990): 323–30. http://dx.doi.org/10.1080/00401706.1990.10484685.

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3

Tindal, Gerald, Mark R. Shinn, and Kathleen Rodden-Nord. "Contextually Based School Consultation: Influential Variables." Exceptional Children 56, no. 4 (1990): 324–36. http://dx.doi.org/10.1177/001440299005600405.

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4

Chernoff, Herman, Shaw-Hwa Lo, and Tian Zheng. "Discovering influential variables: A method of partitions." Annals of Applied Statistics 3, no. 4 (2009): 1335–69. http://dx.doi.org/10.1214/09-aoas265.

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5

Park, Eun-Joo, and Myung-Jin Ha. "Influential Variables of Impulse Buying in Jewelry Market." Journal of the Korean Society of Clothing and Textiles 32, no. 3 (2008): 385–94. http://dx.doi.org/10.5850/jksct.2008.32.3.385.

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6

Gupta, Shanti S., and Deng-Yuan Huang. "On detecting influential data and selecting regression variables." Journal of Statistical Planning and Inference 53, no. 3 (1996): 421–35. http://dx.doi.org/10.1016/0378-3758(95)00103-4.

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Creixans, Judit, and Núria Arimany-Serrat. "Influential variables in the profitability of hospital companies." Intangible Capital 14, no. 1 (2018): 171. http://dx.doi.org/10.3926/ic.1109.

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Yousefi, Peyman, Gholamreza Naser, and Hadi Mohammadi. "Surface Water Quality Model: Impacts of Influential Variables." Journal of Water Resources Planning and Management 144, no. 5 (2018): 04018015. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000900.

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9

Sillanpää, Nora, and Harri Koivusalo. "Stormwater quality during residential construction activities: influential variables." Hydrological Processes 29, no. 19 (2015): 4238–51. http://dx.doi.org/10.1002/hyp.10493.

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10

Agbaxode, Peter, Sitsabo Dlamini, and Ehsan Saghatforoush. "Design documentation quality influential variables in the construction sector." IOP Conference Series: Earth and Environmental Science 654, no. 1 (2021): 012007. http://dx.doi.org/10.1088/1755-1315/654/1/012007.

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Sharma, Ashwini, Dixit Garg, and Ashish Agarwal. "Identification of influential quality management variables using ISM approach." International Journal of Advanced Operations Management 8, no. 1 (2016): 38. http://dx.doi.org/10.1504/ijaom.2016.076207.

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Andrades Peña, Francisco Javier, Manuel Larrán Jorge, María José Muriel de los Reyes, and María Yolanda Calzado Cejas. "Influential Variables of Sustainability Disclosures by Spanish Public Hospitals." Public Performance & Management Review 43, no. 6 (2020): 1390–412. http://dx.doi.org/10.1080/15309576.2020.1765816.

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13

Ndang, Subianto, and Amin Mawardi. "Influential Factors against Delays in Wharf Construction." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 842–46. https://doi.org/10.5281/zenodo.6812518.

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- Risk factors in a dock construction work that results in delays include labor, materials, equipment and weather conditions which are factors studied in this study. The purpose of this study is to analyze the risk of delays that occur by identifying the dominant factor as the cause of the delay that will occur and the relationship between bound variables and free variables and identifying work items that most affect performance in the dock construction project. The data analysis method used in this study is statistical analysis using SPSS ver.26.0 and Relative Importance Index (RII). Based on

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14

Hodžić, Atif, Elmasa Aldžić, and Damir Hodžić. "Wood Surface Roughness Prediction Modeling Depending on Influential Cutting Variables." IOP Conference Series: Materials Science and Engineering 1208, no. 1 (2021): 012005. http://dx.doi.org/10.1088/1757-899x/1208/1/012005.

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Abstract Paper presents the design of experiment and determining mathematical model to calculate roughness parameter of wood planned surface. For design of experiment three different types of solid wood were taken and processed on the planner with three different displacements and three different cutting speeds. After measuring the roughness parameter Rz, experimental results were obtained on the basis of which the central composite plan of the experiment was made. Based on that, a model of roughness parameter Rz was made, which is adequate and with high accuracy. The significance of the model

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15

Abdullah, Mokhtar B. "Detection of influential observations in functional errors-in-variables model." Communications in Statistics - Theory and Methods 24, no. 6 (1995): 1585–95. http://dx.doi.org/10.1080/03610929508831573.

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16

Fleming, Robert, Sara Forsythe, and Chad Cook. "Influential Variables Associated with Outcomes in Patients with Cervicogenic Headache." Journal of Manual & Manipulative Therapy 15, no. 3 (2007): 155–64. http://dx.doi.org/10.1179/106698107790819846.

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17

Vega, Eva Maria Aranda, Maria Tome Fernandez, and Jose Manuel Ortiz Marcos. "Social skills in primary education: Influential variables in intercultural contexts." Journal of Education and e-Learning Research 11, no. 3 (2024): 539–47. http://dx.doi.org/10.20448/jeelr.v11i3.5887.

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This study examined the most common social skills among elementary school students in an intercultural environment with contextual diversity, taking age, gender and place of birth into consideration. A total of 803 students (aged 6 to 12) were assessed using the previously validated “social skills questionnaire for intercultural students in primary education”. Data were analyzed by descriptive and comparative statistics using the most recent version of SPSS software taking into account sociodemographic variables about social skills. The results indicate that gender exhibits different levels of

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18

D’Andrea, Antonino, Federico Carbone, Sergio Salviera, and Orazio Pellegrino. "The Most Influential Variables in the Determination of V85 Speed." Procedia - Social and Behavioral Sciences 53 (October 2012): 633–44. http://dx.doi.org/10.1016/j.sbspro.2012.09.913.

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19

Shao, Xueguang, Min Zhang, and Wensheng Cai. "Multivariate calibration of near-infrared spectra by using influential variables." Analytical Methods 4, no. 2 (2012): 467. http://dx.doi.org/10.1039/c2ay05609g.

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20

Guo, Jinjun, Minghao Gao, Kun Wang, and Peng Zhang. "Mechanisms and influential variables on the abrasion resistance hydraulic concrete." Nanotechnology Reviews 11, no. 1 (2022): 2997–3019. http://dx.doi.org/10.1515/ntrev-2022-0488.

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Abstract Abrasion damage is inevitable for hydraulic structure concrete, to increase the service life of large water conservancies and to keep them running safely and reliably, hydraulic concrete requires a high abrasion resistance. This review synthesizes current practices defined by scientific literature in a format focused on allowing quick comparison and understanding of the current scenario of anti-abrasion concrete enhancing mechanism, measuring methods, and approaches to enhance concrete abrasion resistance. Besides, the review highlights the application of widely used materials and pot

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Valderrama, Pilar, Manuel Escabias, Mariano J. Valderrama, Evaristo Jiménez-Contreras, and Pilar Baca. "Influential variables in the Journal Impact Factor of Dentistry journals." Heliyon 6, no. 3 (2020): e03575. http://dx.doi.org/10.1016/j.heliyon.2020.e03575.

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22

Yang, Ruiliang, Zijiang Wu, and Xiaoming Qian. "Evaluating the influential factors for life preserver donning tests." PLOS ONE 16, no. 2 (2021): e0246705. http://dx.doi.org/10.1371/journal.pone.0246705.

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Life preservers often play a vital role in ensuring passenger safety in water-related accidents, while the difficulty of donning life preservers has been repeatedly proved even in a donning test. To evaluate the influencing factors for life preserver donning tests, 109 college students and 42 villagers were chosen as subjects. A total of fourteen variables with seven categorical variables and seven continuous variables were considered as potential influencing factors. T-test and one-way analysis of variance (ANOVA, for three or more categories) were used to judge whether grouping in categorica

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23

Sargent, Carol Springer, Alex Koohang, and Salome Svanadze. "Users' Concerns and the Internet of Things (IoT) Risk Beliefs." Journal of Global Information Management 32, no. 1 (2024): 1–19. http://dx.doi.org/10.4018/jgim.359210.

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This paper builds a prediction model with four predictor variables and one dependent variable. The predictor variables are users' concerns about IoT privacy, users' concerns about IoT security, users' concerns about IoT awareness, and users' concerns about IoT device use. The dependent variable is users' IoT risk beliefs. The prediction model determines the influential predictor variables that predict the users' IoT risk beliefs. An instrument with five constructs was designed and administered to subjects working in various organizations in the USA. Collected data from 386 usable data were ana

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Mohammed, Yousra Abdulaziz. "Identifying the Most Influential Variables in Breast Cancer Using Logistic Regression." Indian Journal of Public Health Research & Development 11, no. 2 (2020): 1967. http://dx.doi.org/10.37506/v11/i2/2020/ijphrd/195119.

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Kaur, Sandeep, and Mandeep Kaur. "Behavioral intentions of heritage tourists: Influential variables on recommendations to visit." Journal of Heritage Tourism 15, no. 5 (2019): 511–32. http://dx.doi.org/10.1080/1743873x.2019.1692852.

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26

Kim, Myung Geun. "Outliers and influential observations in the structural errors-in-variables model." Journal of Applied Statistics 27, no. 4 (2000): 451–60. http://dx.doi.org/10.1080/02664760050003632.

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27

Vera, Jorge, and Andrea Trujillo. "Searching most influential variables to brand loyalty measurements: An exploratory study." Contaduría y Administración 62, no. 2 (2017): 600–624. http://dx.doi.org/10.1016/j.cya.2016.04.007.

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Das, Ujjwal, and Kalyan Das. "Selection of influential variables in ordinal data with preponderance of zeros." Statistica Neerlandica 75, no. 1 (2020): 66–87. http://dx.doi.org/10.1111/stan.12225.

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Wu, Q., T. Mukherjee, A. De, and T. DebRoy. "Residual stresses in wire-arc additive manufacturing – Hierarchy of influential variables." Additive Manufacturing 35 (October 2020): 101355. http://dx.doi.org/10.1016/j.addma.2020.101355.

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30

Mulla, Tohid, M. B. Bagwan, and Advait Prashant Bhatmule. "Exploring Influential Variables in Emergency Amputations for Diabetic Foot Ulcer Patients." Azerbaijan Pharmaceutical and Pharmacotherapy J 22, no. 2 (2023): 22–24. http://dx.doi.org/10.61336/appj/22-2-07.

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Background: The primary reason for lower extremity amputations predominantly arises from diabetic foot conditions. This study's objective was to explore the clinical features and influencing factors associated with amputation among patients presenting with diabetic foot ulcers in emergency departments. Methods: This study was conducted through a retrospective examination of the medical records of 60 patients referred to the Emergency Unit due to diabetic foot ulcers. Results: Out of the 60 patients in this study, 34 (53.4%) were male, and 26 (46.6%) were female. The average age was 61.43\(\pm\

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Wang, Xinyue, Robin Teigland, and Alexander Hollberg. "Identifying influential architectural design variables for early-stage building sustainability optimization." Building and Environment 252 (March 2024): 111295. http://dx.doi.org/10.1016/j.buildenv.2024.111295.

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32

Jelita, Jelita, Budi Irwansyah, Lilla Puji Lestari, Satya Darmayani, and Faidliyah Nilna Minah. "Household Food Security: Evaluation of Influential Variables Using Exploratory Factor Analysis." Journal of Engineering and Scientific Research 6, no. 2 (2024): 76–84. https://doi.org/10.23960/jesr.v6i2.164.

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Understanding the patterns that influence food security is very important. Deconstructing food security assessment into clearly defined variables might enhance its effectiveness. Efforts to improve food security measurements are generally prioritized on the most visible, objectively measurable, and familiar dimensions. In reality, there is sometimes confusion regarding which components of the food security definition a metrics is assessing, leading to the interchangeable use of indicators for distinct food security dimensions. Identifying, studying, and understanding these determining factors

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33

Nelli, Tamba, and Christina Nawangsari Lenny. "The Effect of Empowering Leadership, Job Demand, Job Crafting on Employee Performance and Well-Being as Mediation Variables." International Journal of Innovative Science and Research Technology 7, no. 8 (2022): 1030–42. https://doi.org/10.5281/zenodo.7055811.

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This research is motivated by the refinement of previous research, in particular to analyze the effects of empowering leadership, job demand and job crafting applied to the capacity of employees with well-being which will be the mediating variable. This scientific paper uses a quantitative approach, data is collected through questionnaires distributed and observations in the company. Data processing began by distributing questionnaires to 128 employees. The data of this scientific paper was processed with the SEM-PLS (Partial Least Square) application to test and find out all the research hypo

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Professor, Dr. Md. Abu Sina, and Md. Abdus Sabur Dr. "MEASUREMENT OF TRENDS OF SOME INFLUENTIAL VARIABLES: A COMPARISON BETWEEN BRAC BANK LTD. AND ISLAMI BANK BANGLADESH LTD." International Journal of Research - Granthaalayah 5, no. 7 (2017): 530–40. https://doi.org/10.5281/zenodo.839800.

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Banking sector is a fundamental element of a financial system of a country. Bangladesh is a developing country and its financial system is good and upward trend oriented. Islami Bank Bangladesh Limited (IBBL) and BRAC Bank Limited (BBL) are the two prospective banks in Bangladesh. The paper attempts to measure trends of some influential variables. Through Kaiser-Meyer-Olkin (KMO) and Bartlett’s test of Sphericity five influential variables are identified like net profit, investment/loans and advances, fixed assets, other assets and cash. All the variables show better position in IBBL than BBL.

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35

Farbahari, Arash, Tania Dehesh, and Mohammad Hossien Gozashti. "The Usage of Lasso, Ridge, and Linear Regression to Explore the Most Influential Metabolic Variables that Affect Fasting Blood Sugar in Type 2 Diabetes Patients." Romanian Journal of Diabetes Nutrition and Metabolic Diseases 26, no. 4 (2019): 371–79. http://dx.doi.org/10.2478/rjdnmd-2019-0040.

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Abstract Background and aims: To explore the most influential variables of fasting blood sugar (FBS) with three regression methods, to identify the existence chance of type 2 diabetes based on influential variables with logistic regression (LR), and to compare the three regression methods according to Mean Squared Error (MSE) value. Material and Methods: In this cross-sectional study, 270 patients suffering from type 2 diabetes for at least 6 months and 380 healthy people were participated. The Linear regression, Ridge regression, and Least Absolute Shrinkage and Selection Operator (Lasso) reg

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Han, Junga. "Exploration of Predictive Model and Influential Variables for Teachers’Job Satisfaction using Automated Machine Learning." Korea Association of Yeolin Education 33, no. 3 (2025): 119–39. https://doi.org/10.18230/tjye.2025.33.3.119.

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The purpose of this study is to explore the predictive model and influential variables for teachers’ job satisfaction using first-year data from the Seoul Education Longitudinal Study of Teachers (SELST) 2020. For this purpose, 242 explanatory variables, processed through a preprocessing stage, were used for the analysis. The key findings are as follows. First, when applying Automated Machine Learning (AutoML) techniques, the light gradient boosting machine showed the best performance in predicting teachers' job satisfaction. Second, when the key influential variables of teachers' job satisfac

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Chang, Sung Ok, Eun Ju Kim, Gyeong Ae Seomun, Su Jeong Lee, and Chang Seung Park. "Comparison of Influential Variables for Smoking Temptation between Adolescent and Adult Smokers." Journal of Korean Academy of Nursing 36, no. 3 (2006): 561. http://dx.doi.org/10.4040/jkan.2006.36.3.561.

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Bai, Yunxi, and Youngchul Kim. "Which Variables are Influential to Evaluate Rapid-Transit Systems in China’s Cities?" KIEAE Journal 17, no. 6 (2017): 33–38. http://dx.doi.org/10.12813/kieae.2017.17.6.033.

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Ridwan Raja Refo, Indah Wahyu Utami, and Brillian Nur Diansari. "Marketing Mix Untuk Meningkatkan Penjualan Produk Pada Toko Gitar Dimdim Musik Di Baki Sukoharjo." Jurnal Rekayasa Proses dan Industri Terapan 1, no. 3 (2023): 253–61. http://dx.doi.org/10.59061/repit.v1i3.392.

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In the current era, the development of the creative music industry in Indonesia is so fast where competition between the creative music industries is getting tougher every day. This does not only apply to large companies, Micro, Small and Medium Enterprises (MSMEs) but also participating in the competition. This study aims to apply the marketing mix to increase sales of Dimdim Musik guitar products in Baki, Sukoharjo. The results of this study are that there are 2 influential variables, namely price variables, promotion variables and 5 variables that not affect product sales, namely place vari

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Risma Nur Pratiwi, Esti Dwi Rahmawati, and Agus Suyatno. "Kompensasi Lingkungan Kerja dan Motivasi Terhadap Kinerja Pegawai PT Angkasa Pura 1 di Bandar Udara Adi Soemarmo." Journal of Management and Creative Business 2, no. 3 (2024): 341–54. http://dx.doi.org/10.30640/jmcbus.v2i3.2923.

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Study This aim For analyze role mediation motivation work on influence compensation and environment Work to performance employee of PT Angkasa Pura 1 Adi Soemarmo Airport Branch Office . Population in study This is employee employees of PT Angkasa Pura 1 Adi Soemarmo Airport Branch Office who work more of 1 ( one ) year and amount sample in study This as many as 87 respondents . Variables used in study This is compensation , environment work , motivation work and performance employee . Data used in study This in the form of primary data. Data collection methods used is questionnaire . Data an

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RAHMAN, ASHFAQUR, and MD SUMON SHAHRIAR. "ALGAE GROWTH PREDICTION THROUGH IDENTIFICATION OF INFLUENTIAL ENVIRONMENTAL VARIABLES: A MACHINE LEARNING APPROACH." International Journal of Computational Intelligence and Applications 12, no. 02 (2013): 1350008. http://dx.doi.org/10.1142/s1469026813500089.

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In this paper, we present an approach for predicting algae growth through the selection of influential environmental variables. Chlorophyll a is considered to be an indicator for algal biomass and we predict this as a proxy for algae growth. Environmental variables like water temperature, salinity, etc. have influence upon algae growth. Depending on the geographic location, the influence of these environmental variables will vary. Given a set of relevant environmental variables we perform feature selection using a number of algorithms to identify the variables relevant to the growth. We have d

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Gutiérrez-Villar, Belén, Purificación Alcaide-Pulido, and Mariano Carbonero-Ruz. "Measuring a University’s Image: Is Reputation an Influential Factor?" Education Sciences 12, no. 1 (2021): 19. http://dx.doi.org/10.3390/educsci12010019.

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Today, the higher education sector can be considered a market and, within it, private university education is a common marketable service in the literature on higher education management. Research on the analysis of the variables that generate the university image has been the subject of numerous investigations. Although there is no generally accepted definition, most authors approach the measurement of image through multi-factor scales, with variables relating to functional and psychological elements. This research aims to contribute to study of the most determinant variables in measuring a p

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43

Quiroz-Leal, Sonia, Rolando Eslava-Zapata, and Verenice Sánchez-Castillo. "Influential aspects in teacher motivation towards working with students with disabilities." Health Leadership and Quality of Life 1 (December 31, 2022): 99. https://doi.org/10.56294/hl202299.

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The purpose of this research is to investigate the variables that influence the motivation of teachers who work instructing students with specific disabilities in a diverse classroom environment, where they deploy inclusive actions and practices to respond to the specific needs of these students. With this objective, information is collected from ten participating teachers through a semi-structured interview protocol to examine the patterns and tendencies that this group of teachers declares regarding the variables that affect the daily performance of their educational work. The study, of a qu

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Hoe, Kwok Chin, Haris Abd Wahab, Siti Hajar Abu Bakar, and M. Rezaul Islam. "Community participation for rural poverty alleviation: A case of the Iban community in Malaysia." International Social Work 61, no. 4 (2017): 518–36. http://dx.doi.org/10.1177/0020872816673890.

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This study aimed to uncover the influential factors of community participation in a rural poverty alleviation programme in Malaysia. A quantitative approach was used, and data were collected through a self-administered survey questionnaire from 260 respondents of the Iban community in Malaysia. The study considered 22 influential factors (18 as independent variables and 4 as dependent variables) to measure the level of community participation in decision-making, implementation, benefits sharing and evaluation. The study explored how these influential factors interacted with participation in a

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Merta, I. Putu George Budiananta, N. Trinanasari, and I. Wayan Bagia. "Influential Factors of Online Shopping Decision." International Journal of Social Science and Business 6, no. 2 (2022): 246–52. http://dx.doi.org/10.23887/ijssb.v6i2.44077.

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With the technology advances, online shopping has experienced a phenomenal growth. In line with such phenomenon and its relevancy, a considerable number of studies have shown an interest within this area. Although recent researches have particularly addressed the online consumer’s behavior, findings were inconsistent. Thereby, further researches have been called for. The present study aims to investigate the effect of few variables derived from existing literature which are price, trust, promotion, easiness, service quality, and product on online consumers’ buying decision. A survey method was

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Jakhongirov, Ilimdorjon, Nasir Mahmudov, Shokhida Abdurakhmanova, Dilnoza Ruzikulova, and Sherzod Dexkanov. "Analyzing influential factors on healthcare expenditures." E3S Web of Conferences 538 (2024): 02016. http://dx.doi.org/10.1051/e3sconf/202453802016.

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This study used an Autoregressive Distributed Lag (ARDL) model to examine the influence of inpatient and outpatient service expenditures on total healthcare expenses from 2000 to 2021. The ARDL model, renowned for its capacity to handle variables with distinct levels of integration and identify cointegration connections, is employed to examine both the immediate and prolonged dynamics of healthcare expenditure. The research demonstrates that expenditures on hospital services have a substantial and beneficial impact on overall healthcare expenses, but the impacts of expenditures on outpatient s

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Nisya, Alivia, Hendra Halim, and Fakhrurrazi Fakhrurrazi. "The Effect of Free Shipping, Religiosity, Hedonic Conformity and Promotion on Consumptive Behaviour in Generation Z in Banda Aceh." Asian Journal of Applied Business and Management 3, no. 4 (2024): 309–26. https://doi.org/10.55927/ajabm.v3i4.12249.

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This research aims to analyze the influence of free shipping, religiousness, hedonic conformity and promotion on the consumption behavior of Gen-Z through simple random sampling technique that was done by questioners. The analysis used was double linear regression and was processed by Stata 17 software. The result of this research has shown that partially, some variables like free shipping and hedonic conformity are significantly influential toward the consumptive behavior. However, religiosity and promotion is not influential toward the consumptive behavior. Afterwards, simultaneously, some v

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Fardani, Irland, Nia Kurniasari, Teguh Tri Aryanto, et al. "Variables that Influence in Management of the Cikapundung Sub-Watershed." ETHOS: Jurnal Penelitian dan Pengabdian kepada Masyarakat 12, no. 2 (2024): 81–90. http://dx.doi.org/10.29313/ethos.v12i2.3404.

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The Cikapundung Sub-Watershed is a source of clean water for people living in Bandung City. The Cikapundung Sub-Watershed has several main problems, such as land change, landslides, and land damage. Many efforts have been made to improve the conditions of the Cikapundung sub-district by the government, the community, and Non-Governmental Organizations (NGOs). However, these efforts have not achieved satisfactory results. This occurs due to the inaccuracy of handling by each stakeholder regarding the variables that influence the conditions of the Cikapundung sub-district. This research aims to

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49

Firmansyah, Muhammad Reza, Riski Amelia, Rizky Amalia Jamil, Faturochman Faturochman, and Wenty Marina Minza. "BENEVOLENCE, COMPETENCY, AND INTEGRITY: WHICH IS MORE INFLUENTIAL ON TRUST IN FRIENDSHIPS?" Jurnal Psikologi 18, no. 1 (2019): 91. http://dx.doi.org/10.14710/jp.18.1.91-105.

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Personal variables are often assumed to affect trust. In Indonesia, there are three personal variables that affect trust: benevolence, competence, and integrity. This study aims to examine the influence of these three variables on friendship relationships. The respondents of this study consists of 220 students of Universitas Gadjah Mada (44.1% male and 55.9% female). Data were collected using the Trust Scale (α = .74), the Benevolence Scale (α = .85), the Competence Scale (α = .80), and the Integrity Scale (α = .78). Regression analysis revealed that competence has no significant influence tow

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50

Indah Asriani, I Made Christian B, and Mubarak. "Lifestyle analysis to incident hypertension in the work area health center Lalowaru Subdistrict North Moramo." International Journal of Science and Research Archive 15, no. 3 (2025): 674–78. https://doi.org/10.30574/ijsra.2025.15.3.1736.

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Background: : Hypertension is a condition the occurrence improvement pressure blood that gives symptom continues to a target organ of the body so that arise damage more heavy such as stroke ( occurs in the brain and results in high mortality). Methods: Type research used is analytical in nature observational use design study Cross Sectional with Chi-square For analysis bivariate and regression test logistics for analysis multivariate. Population from study this is all over patient hypertension in the workplace health center the last one with technique taking sample use random samplings the sa

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