Browsing by Author "Celik, H. Eray"

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Alpha Power Inverted Kumaraswamy Distribution: Definition, Different Estimation Methods and Application
(Univ Punjab, 2022) Bagci, Kubra; Erdogan, Necati; Arslan, Talha; Celik, H. Eray
In this study, an alpha power inverted Kumaraswamy distribution having three shape parameters is obtained by applying the alpha power transformation to the inverted Kumaraswamy distribution. Then, its survival and hazard rate functions are expressed in closed forms. Some of its submodels and limiting cases are provided as well. Its parameters are estimated by using the maximum likelihood, maximum product of spacings, and least squares methods. A Monte-Carlo simulation study is conducted to show the performances of the considered estimation methods. An application to a real data set including values of breaking stress of carbon fibers is provided to illustrate an implementation of the proposed distribution and its modeling capability. The results show that alpha power inverted Kumaraswamy distribution can be an alternative to the its rivals.
Dirichlet Distribution and Estimation of Parameters
(Pushpa Publishing House, 2018) Demirel, A. Kubra; Celik, H. Eray
In this study, Dirichlet distribution, its history and usage areas are examined. Then, its characteristics are calculated and it is aimed to estimate parameters. To our knowledge, there is little research into parameter estimations that have been made for different sample sizes using the maximum likelihood method. To contribute to the literature, in the present study the maximum likelihood estimation, one of the most commonly used parameter estimation methods, was used. Newton-Raphson method and fixed-point iteration, which are numerical methods, were employed to estimate parameters. Then, software, which estimates parameters, was written using MATLAB.
Examination of Factors Affecting Continuance Intention To Use Web-Based Distance Learning System Via Structural Equation Modelling
(Ani Yayincilik, 2018) Bagci, Kubra; Celik, H. Eray
Purpose: The present study aims to model continuance intention to use web-based distance learning system and reveal the relationship between structures. Method: In this study, factors affecting continuance intention to use a web-based distance learning system was examined with a sample of 104 students attending an initial teacher training program through a web-based distance learning system at Van Yuzuncu Yil University. The structures used in the study were identified as a result of a detailed review of literature. Moreover, complex structure of web-based distance learning systems, which included many components, were analyzed. Technology Acceptance Model and Expectancy Disconfirmation Theory were used in determining the model to be used, and comprehensive research was conducted. Findings: continuance intention to use web-based distance learning system was indirectly affected by perceived quality, perceived control, perceived usability; and was directly affected by satisfaction. Implications for Research and Practice: Similar studies can be conducted with different student/user groups by different distance learning centers and institutions that provide distance learning services. Web-based distance learning systems, which have become widely used especially by companies, can be expanded via studies to be conducted within these environments. (c) 2018 Ani Publishing Ltd. All rights reserved
Extending the Technology Acceptance Model for Adoption of E-Shopping by Consumers in Turkey
(California State Univ, 2011) Celik, H. Eray; Yilmaz, Veysel
The Technology Acceptance Model (TAM) is a very important modelling approach in information technology research. In this study, an attempt is made to explain consumer acceptance of e-shopping by means of an extended model based on TAM. Perceived trust, perceived enjoyment, perceived information quality, perceived system quality and perceived service quality factors are added to the classical TAM to produce an extended research model. This extended research model is tested against data obtained from 606 internet users in Turkey, and a structural equation model is used to analyse these data. The results support the previous findings related to classical TAM; however, the recently included external factors are also effective in explaining the acceptance of e-shopping.
Inverted Kumarswamy Distribution for Modeling the Wind Speed Data: Lake Van, Turkey
(Pergamon-elsevier Science Ltd, 2021) Bagci, Kubra; Arslan, Talha; Celik, H. Eray
In calculating the wind energy potential of a region, some important points such as determining the distribution used to model wind speeds and estimating the parameters of the distribution accurately should be considered. Many different distributions have been proposed in wind energy literature over the years. In this paper, some of these studies are reviewed. Then, Inverted Kumaraswamy (IKum) distribution is used for the first time to model wind speed data as an alternative to the well-accepted Weibull distribution. Maximum Likelihood, Least Squares, and Maximum Product of Spacing methodologies are employed in estimating the parameters of the IKum distribution. A Monte Carlo simulation study is conducted for comparing the efficiencies of these methods. The wind speed data sets considered in this study include wind speeds from 6 stations located around Lake Van in Turkey. Modeling performances of the Weibull and IKum distributions are evaluated with the well-known goodness-of-fit criteria and power density error values. Results show that the IKum distribution can be considered as an alternative to the well-accepted Weibull distribution.
Learning With Interactive Whiteboards Determining the Factors on Promoting Interactive Whiteboards To Students by Technology Acceptance Model
(Emerald Group Publishing Ltd, 2015) Kilic, Eylem; Guler, Cetin; Celik, H. Eray; Tatli, Cemal
Purpose - The purpose of this study is to investigate the factors which might affect the intention to use interactive whiteboards (IWBs) by university students, using Technology Acceptance Model by the structural equation modeling approach. The following hypothesis guided the current study: H1. There is a positive relationship between IWB self-efficacy and perceived learning (PL). H2. There is a positive relationship between IWB self-efficacy and perceived ease of use (PEOU). H3. There is a positive relationship between IWB self-efficacy and perceived usefulness (PU). H4. There is a positive relationship between PL and PEOU. H5. There is a positive relationship between PL and PU. H6. There is a positive relationship between PEOU and attitude. H7. There is a positive relationship between PU and attitude. Design/methodology/approach - A survey method was used to collect the data. Purposive sampling was used, and 416 high-school students participated in the current study. Descriptive statistics and structural equation model conducted to test the proposed model were used in data analysis. Findings - All hypotheses formulated within the scope of the research model were statistically confirmed. H1, which assumed that interactive whiteboard self-efficacy (IWBSE) have had a positive impact on PL, was found to be statistically significant. The impact of IWBSE on PL was 0.61 which means that if IWBSE increases one unit, the impact on PL will be an average of 0.61 points. The relationship between IWBSE, which is expressed in H2 and H3, and, respectively, PEOU and PU latent variables, was statistically significant. IWBSE mostly affected PEOU (= 0.51, t = 7.92), and then PU (= 0.16, t = 2.43). The relationship between PL - which is expressed in H4 and H5-and, respectively, PEOU and PU latent variables, was statistically significant. IWBSE mostly affected PU (= 0.63, t = 7.94), and then PEOU (= 0.27, t = 3.95). Originality/value - It is aimed to transform the entire classes into computerized classes (Smart Class) around Turkey with FATIH project which includes usage of interactive boards. Because it is a very big project funded by the government, it is important to evaluate its adaptation among teachers and students. Therefore, the current study aims to investigate the factors which might affect the attitude to use IWBs by high-school students.
Perceived Service Quality and Student Satisfaction: a Case Study at Khoja Akhmet Yassawi University, Kazakhstan
(Frontiers Media Sa, 2024) Seitova, Meruyert; Temirbekova, Zhanar; Kazykhankyzy, Lazura; Khalmatova, Ziyoda; Celik, H. Eray
The higher education sector is a dynamic and competitive environment where service quality plays a crucial role. Higher education institutions must continuously enhance their service quality in the current competitive landscape. This quantitative study examines perceived service quality's effect on student satisfaction at Khoja Akhmet Yassawi University in Kazakhstan. The study data were collected with SERVQUAL, and Covariance Structural Equation Modeling (CB-SEM) was employed to test the research hypotheses. The CB-SEM findings confirmed the impact of perceived service quality on student satisfaction. It was found that students were generally satisfied with the university facilities. The findings could assist the university, and by extension, the entire higher education industry, in improving its strategic plans to increase student satisfaction and overall institutional performance. Thus, service quality significantly impacts student satisfaction in higher education, and higher education institutions, including yours, should be aware of the dimensions of service quality that affect student satisfaction.