• 제목/요약/키워드: inferential statistical analysis

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Utilization of Electronic Information Resources and Their Influence on Reading Culture of Undergraduate Students in Federal University Dutse

  • Aminu Ahmed BUBA;Aisha Yahya LAWAL
    • International Journal of Knowledge Content Development & Technology
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    • 제13권3호
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    • pp.75-93
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    • 2023
  • A cross sectional survey method was used to determine the utilization of e-resources and their influence on the reading culture of 119 undergraduate students registered with the JD Amin library of Federal University Dutse. The data collected was analysed using both descriptive (frequency counts and means) and inferential statistics (regression analysis). The research found that databases (mean=4.00) and e-journal (mean=4.00) are available to the undergraduate students. It further found that e-resources are often utilized by the undergraduate student, with social media (mean=4.00), databases (mean=4.00) and e-journal (mean=4.00). the most commonly used e-resources. It was also found that erratic power supply (mean=3.91) and inability to seek, obtain and evaluate information (mean=3.67) are the prominent factors hindering the utilization of e-resources. The regression analysis rejected the null hypotheses of the study where it shows that the level of utilization of e-resources have positive statistical correlation (r=0.772) with the reading culture of undergraduate students. The study proposed a conceptual model for the sustainable reading culture of students by libraries providing of e-resources. The general conclusion of the research is that e-resources are necessary tools and are moderately available and adequately utilized for influencing reading culture. The study recommended that Internet facilities should be made available to undergraduate students to facilitate more utilization of e-resources.

Perception Based Definition of Construction Quality in Pakistan

  • Awan, Muhammad Yousaf Sadiq;Awan, Dr Muhammad Maqbool Sadiq
    • Journal of Construction Engineering and Project Management
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    • 제5권2호
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    • pp.24-34
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    • 2015
  • The complexity arises in defining the construction quality due to its perception, based on inherent market conditions and their requirements, the diversified stakeholders itself and their desired output. A quantitative survey based approach was adopted in this constructive study. A questionnaire based survey was conducted, for the assessment of construction quality perception and expectations in the context of quality improvement technique. The survey feedback of professionals, from the leading construction organizations/companies of Pakistan were analyzed. The financial capacity, organizational structure, and construction experience of the construction firms formed basis for their selection. After statistical analysis of survey feedback it was found reliable and valid for the inferential purpose to the target population of construction professionals. The quality perception was found to be project scope oriented, considered as an excess cost for a construction project and keeping the rework minimum by qualifying the required quality tests, keeping the defects minimum by ensuring the specifications of supplied material. Any quality improvement technique was expected to address the financial aspects of the construction project for the employer and contractor, by increasing the profitability through reduction in overall cost, reduction in time, reduction in defects and improving the productivity in a construction project. The study is beneficial for the construction professionals to assess the prevailing construction quality perception and the expectations from implementation of any quality improvement technique in construction projects.

Twelve Key Success Factors of Distribution Strategies for Distribution Community Enterprises Thailand

  • KANYARAT, Hassaro;PEERAWAT, Chailom
    • 유통과학연구
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    • 제20권8호
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    • pp.59-67
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    • 2022
  • Purpose: This study identifies how twelve key success factors of distribution strategies for community enterprises in Thailand achieve higher performances. Research design, data, and methodology: The samples in this study were 400 entrepreneurs throughout the country. The instrument for data elicitation was a questionnaire. The descriptive and inferential statistics for data analysis were percentage, mean, standard deviation, T-Test, F-Test, multiple regression, and multiple correlations. Results: The results revealed that, overall, the samples showed high opinions on online distribution strategies in all aspects. In detail, the three highest factors were as follows: 1) electronic satisfaction, 2) product characteristics and electronic trust, and 3) the quality and success in online distribution. In detail, the three highest aspects of online distribution success were customer loyalty, financial performance, and work management, respectively. The online distribution strategies influencing community enterprises' success were electronic trust, electronic loyalty, social information, electronic satisfaction, and online distribution tools, which had a statistical significance of 71. Conclusions: This research has made an essential contribution to community enterprise entrepreneurs should focus on and adopt these 8P+4ODS concepts to increase sales, maintain brand loyalty of existing customers, get new customers, develop learning, and improve the working potentials of community enterprise entrepreneurs.

The Assessment of Patients Satisfaction with Healthcare Services Provided in the Hawtat Bani Tamim During the COVID-19 Pandemic

  • Ahmed Saied Rahama, ABDALLAH;Mohammed Omar Musa, MOHAMMED
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.41-48
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    • 2023
  • This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

FACTORS AFFECTING PATIENTS' DECISION-MAKING FOR DENTAL PROSTHETIC TREATMENT

  • Jung, Hyo-Kyung;Kim, Han-Gon
    • 대한치과보철학회지
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    • 제46권6호
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    • pp.610-619
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    • 2008
  • STATEMENT OF PROBLEM: Factors affecting patients' decision-making for dental prosthetic treatment should be examined in terms of understanding improving patients' oral health. PURPOSE: The main purpose of this dissertation was to investigate patients' dental prosthetic treatment and factors affecting patients' decision-making for dental prosthesis treatment in Deagu and Gyungbook areas. MATERIAL AND METHODS: This study was based on the preliminary survey of dental patients conducted from July 1 to August 31 in 2006. A total of 700 questionnaires had been distributed and 640 were collected. 629 questionnaires were used for the statistical analysis. Descriptive and inferential statistics, such as frequencies, cross tabulation analysis, correlation analysis, logistic regression analysis, and multiple regression analysis were introduced. In the multiple regression analysis and logistic regression analysis, twenty-two independent variables were employed to explore the factors which have impacts on decision-making and satisfaction. RESULTS: The results of this dissertation are as follows: Logistic regression analysis turned out that monthly income, age, degree of expectation, marital status, and employer-insured policy of national insurance statistically increased the odds of decision-making of dental prosthesis treatment. But educational attainment decreased the odds ratio of the decision-making of dental prosthesis treatment. However, the rest independent variables do not have statistically significant impacts on the decision-making of dental prosthesis treatment CONCLUSION: Among independent variables, marital status had the most significant influence on the decision making of dental prosthesis treatment. Finally, suggestions for the future study and policy implications to improve satisfaction of the patients' dental prosthetic treatment were discussed.

2017년도 경기도 한방 난임 지원 사업 진료 결과 분석 연구 (A Study on the Subfertility Support Project of Korean Medicine in Gyeonggi-do)

  • 최수지;박장경;이미영;김동일
    • 대한한방부인과학회지
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    • 제31권4호
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    • pp.73-88
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    • 2018
  • Objectives: This study aims to assess the subfertility support project of Korean medicine in Gyeonggi-do. Methods: A total of 231 women ($36.84{\pm}3.79yrs$) out of 361 applicants completed the treatment in this study. The copies of the medical records and study-related documents were provided by the association of Korean Medicine in Gyeonggi-do, in which the personal information was discarded. Descriptive analysis and inferential statistics (e.g., Mann-Whitney U test, Paired t-test, Wilcoxon signed rank test, & logistic regression) were applied to examine the statistical differences between groups and before/after treatments utilizing SPSS 23. All Type I errors (${\alpha}$) for the statistical significance were set at .05 Results: After the treatment, 11.3% of participants became pregnant spontaneously. There was no significant change in blood tests before and after the treatment and the observation period. Also there was no adverse event during the project. After the project, the satisfaction survey was conducted, and 87.5% of participants were satisfied with the project. Conclusions: The findings of this study proved the efficacy of Korean medical treatment for infertile women.

인도 진출 한국기업의 경쟁우위요인과 경영성과에 대한 연구 (A Statistical Study on the Competitive Advantages and Management Performances of Korean Firms in India)

  • 김철;김진
    • 국제지역연구
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    • 제13권1호
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    • pp.265-286
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    • 2009
  • 본 논문은 인도 현지에 진출하여 직접 경영활동을 수행하고 있는 한국기업들의 경쟁우위요인을 규명하고 이러한 경쟁우위요인과 경영성과와의 관계를 실증적으로 분석하는 것이 주요 목적이다. 즉, 경영성과에 긍정적인 영향을 미치는 요인들은 적극적으로 개발하여 활용해야 할 것이며 동시에 영향을 미치고 있지 않거나 부정적인 영향력을 행사하고 있는 요인들은 세밀하게 파악해내어 이들에 대한 불필요한 비용의 지출을 억제해야 할 것이다. 본 논문의 독립변수가 되는 경쟁우위요인은 우선 일반적으로 인식되고 있는 요인들을 관련 이론과 선행연구에서 도출하였으며 구체적으로 소개하면 다음과 같다. 즉, 마케팅 우위요인, 기술 우위요인, 재무 우위요인, 제품개발 우위요인, 소비자 관리 우위요인 등이라 할 수 있다. 또한 종속변수가 되는 경영성과 역시 선행연구를 토대로 매출증가율, 수익증가율, 경영만족도 등으로 3분하였다. 실증분석 방법은 기초적인 자료의 현황을 계량적으로 나타내기 위해서 기술통계는 피어슨 상관관계 분석을 중심으로 실행하였고, 가설검정을 위한 최종 추리통계는 다중회귀분석을 실행하였다. 분석에 사용한 통계패키지는 SPSS 윈도우 버전 12.0이다.

여성 불임환자에 대한 한의 진단도구 활용을 위한 기초연구 (A Pilot Study for the Practical Usage of Traditional Korean Medicine Diagnostic Methods in Women Infertility)

  • 유정은;유동열
    • 대한한방부인과학회지
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    • 제28권1호
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    • pp.102-112
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    • 2015
  • Objectives: This study was performed to obtain reference data of traditional Korean medicine diagnostic methods for the practical usage in women infertility. Methods: The study involved 38 female patients of age 20-38 years that had diagnosed of infertility. All the subjects answered to pattern identification questionnaire and Questionnaire for the Sasang Constitution Classification (QSCC II). Pattern identification scores and constitution types have been analyzed with variables of infertility factors and age. Statistical analysis was performed by adopting descriptive and inferential tests. Results: In pattern identification questionnaire analysis, the patterns were observed in order of frequency: liver stasis; blood deficiency; kidney-yang deficiency; kidney-yin deficiency; damp-heat; blood stasis; and phlegm. The group, less than 35 years old, had the higher average score of liver stasis (p<0.05). Also, the group with tubal and peritoneal factors, had the higher average score of blood deficiency (p<0.05). In QSCC II analysis, So-yang type had the higher average score of liver stasis, kidney-yang deficiency, and kidney-yin deficiency. So-eum type had the higher average score of liver stasis, kidney-yang deficiency, kidney-yin deficiency, and blood deficiency. While, Tae-um type had the higher average score of liver stasis and phlegm. Conclusions: We would accumulate the clinical data for the practical usage of traditional Korean medicine diagnostic methods in women infertility.

Artificial neural network model for predicting sex using dental and orthodontic measurements

  • Sandra Anic-Milosevic;Natasa Medancic;Martina Calusic-Sarac;Jelena Dumancic;Hrvoje Brkic
    • 대한치과교정학회지
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    • 제53권3호
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    • pp.194-204
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    • 2023
  • Objective: To investigate sex-specific correlations between the dimensions of permanent canines and the anterior Bolton ratio and to construct a statistical model capable of identifying the sex of an unknown subject. Methods: Odontometric data were collected from 121 plaster study models derived from Caucasian orthodontic patients aged 12-17 years at the pretreatment stage by measuring the dimensions of the permanent canines and Bolton's anterior ratio. Sixteen variables were collected for each subject: 12 dimensions of the permanent canines, sex, age, anterior Bolton ratio, and Angle's classification. Data were analyzed using inferential statistics, principal component analysis, and artificial neural network modeling. Results: Sex-specific differences were identified in all odontometric variables, and an artificial neural network model was prepared that used odontometric variables for predicting the sex of the participants with an accuracy of > 80%. This model can be applied for forensic purposes, and its accuracy can be further improved by adding data collected from new subjects or adding new variables for existing subjects. The improvement in the accuracy of the model was demonstrated by an increase in the percentage of accurate predictions from 72.0-78.1% to 77.8-85.7% after the anterior Bolton ratio and age were added. Conclusions: The described artificial neural network model combines forensic dentistry and orthodontics to improve subject recognition by expanding the initial space of odontometric variables and adding orthodontic parameters.

Enabling Factors Affecting Knowledge Transfer and Business Process of Community Enterprise Groups in Thailand

  • Nawapon Kaewsuwan;Ruthaychonnee Sittichai;Jirachaya Jeawkok
    • Journal of Information Science Theory and Practice
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    • 제12권1호
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    • pp.1-20
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    • 2024
  • This research aims to study and confirm enabling factors affecting the knowledge transfer and business process of community enterprise groups in Pattani province, Thailand. Key informants were community enterprise entrepreneurs; 30 people were selected purposively with criteria. This study used a mixed-methods approach and conducted semi-structured interviews to collect data. Qualitative data were analyzed using content analysis and classification, while quantitative data were analyzed using descriptive statistics with frequency, percentage, mean, and standard deviation. Moreover, inferential statistics chi-square value, Phi Cramer's V, and multiple regression analysis with the R program for statistical computing were employed to analyze the relationship between the variables, test the research hypothesis, and create forecasting equations. The research results revealed that the overview of enabling factors had a very high relationship (Cramer's V=0.965). Regarding community enterprise, it was found that enabling factors related to the knowledge transfer and business process consisted of four factors: regulations and administrative guidelines, business plan, reinforcement, and brainstorming. Reinforcement was the factor with the highest degree of correlation (Cramer's V=0.873) and predictor of influence on the knowledge transfer and business process (R2=0.670, p<0.05). This study's findings can lead to the developing of guidelines for promoting community enterprises properly and timely. These guidelines are expected to be used to develop knowledge about business models for community enterprises, which will help to improve their competency and competitiveness.