• Journal of the Korean Home Economics Association
• /
• v.44 no.9
• /
• pp.1-8
• /
• 2006

The purposes of the present article are to suggest pragmatism as offering a philosophical paradigm for mixed methods research, to explain the fundamental principles of mixed methodology, and to present examples of research for understanding how to apply it to family studies. Mixed methods research is the class of research where the researcher mixes or combines quantitative and qualitative techniques, methods, approaches, concepts or language into a single study. Mixed methodology has its roots in pragmatism, which is a new philosophical paradigm to criticize the traditional dualism and to endorse eclecticism and pluralism. The present article argues that mixed methods research has the potential to answer a broader and more complete range of research questions, and to provide strong evidence for a conclusion through convergence and corroboration of the qualitative and the quantitative methods.

• The Korean Journal of Applied Statistics
• /
• v.29 no.5
• /
• pp.787-806
• /
• 2016

Mixed-mode (MM) designs in which data are collected by different modes in one design have become increasingly popular. An MM data collection has several advantages such as reductions of coverage error, non-response and cost. However, MM designs may introduce mode effects that are confounded by selection effects and measurement effects, which can make MM data quality poor. In order to investigate mode effects, SRI implemented a concurrent mixed-mode experiment in 2014 where respondents could choose between a self-administrated Web survey and a self-administrated paper survey. This paper separately estimates selection effects and measurement effects. We found that measurement effects on some items are large.

• Korean Journal of Adult Nursing
• /
• v.23 no.6
• /
• pp.633-641
• /
• 2011

Purpose: This study was to examine the trend of qualitative study published by Korean Journal of Adult Nursing from 1989 to 2011, and to suggest future directions through identifying its strength and weakness. Methods: Ninety one published qualitative studies were analyzed focusing on research methodology and research themes using descriptive statistics. Results: During the last 22 years, the number of qualitative studies has rapidly increased and the methodology used to analyze qualitative data has been diversified. The most frequently used analytic method was a phenomenology (48.4%) and the frequency of conducting a content analysis has increased. The prevailing data collection settings were community (61.5%), followed by hospital (35.2%). Especially, many researches showed specific description on researcher's efforts to get validity and reliability of studies in individual studies presented within recent 10 years. However, it was noted that meta study using mixed methodology and secondary analysis of qualitative studies are rarely used and need to be facilitated. Conclusion: Nursing Researchers utilizing qualitative research should continuously make efforts to increase the validity and reliability of their studies and to find knowledges or strategies applicable to practice through using mixed methods or secondary analysis of individual studies.

• ETRI Journal
• /
• v.30 no.4
• /
• pp.535-545
• /
• 2008

This paper introduces a systematic top-down and bottom-up design methodology to assist the designer in the implementation of continuous-time (CT) cascade sigma-delta (${\Sigma}{\Delta}$) modulators. The salient features of this methodology are (a) flexible behavioral modeling for optimum accuracy-efficiency trade-offs at different stages of the top-down synthesis process, (b) direct synthesis in the continuous-time domain for minimum circuit complexity and sensitivity, (c) mixed knowledge-based and optimization-based architectural exploration and specification transmission for enhanced circuit performance, and (d) use of Pareto-optimal fronts of building blocks to reduce re-design iterations. The applicability of this methodology will be illustrated via the design of a 12-bit 20 MHz CT ${\Sigma}{\Delta}$ modulator in a 1.2 V 130 nm CMOS technology.

• The Journal of Information Systems
• /
• v.32 no.3
• /
• pp.19-39
• /
• 2023

Purpose This study aims to identify user experience factors that can enhance both metaverse utilization and satisfaction based on the honeycomb model. For this we presented two research questions: first, what are the experience factors of metaverse users? Second, do metaverse user experience factors impact satisfaction? Design/methodology/approach To address these questions, a mixed-methodology approach is employed, including text mining techniques to analyze online reviews and quantitative econometric analysis to reveal the relationship between user experience factors and satisfaction. A total of 69,880 reviews and ratings data were collected. Findings The analysis revealed eight metaverse user experience factors: entertainment, operability, virtual reality, immersion, economic activity, visual performance, avatar, and sociality, all of which were found to have a positive impact on user satisfaction.

• Asia-Pacific Journal of Business
• /
• v.13 no.2
• /
• pp.197-207
• /
• 2022

Purpose - This study reestablished the concept of mixed emotions experienced in online and offline shopping environments, and structuralized emotional responses which manifest mixed emotions in each channel, and developed a method of measuring overall mixed emotions in consideration of the asymmetry of emotions. Design/methodology/approach - This study conducted a focus in-depth interview based on phenomenological research and exploratory preliminary survey using questionnaires. In addition, a survey was conducted as a quantitative survey. Findings - Qualitative and quantitative researches were conducted to derive major emotional responses items which manifest mixed emotions in online and offline shopping environments and determine differential emotional structure in each channel. As a result, it was confirmed that mixed emotions consisted of 5 factors in each channel and 21 emotional responses. In addition, a method of measuring overall mixed emotions considering the asymmetric of emotions was developed to prove the difference in behavioral responses. Research implications or Originality - This study is meaningful in that it helps companies efficiently manage and understand customer responses to their products by classifying and systemizing the emotional responses experienced by consumers in online and offline purchase and consumption situations according to the purchase environment.

• Journal of Intelligence and Information Systems
• /
• v.9 no.1
• /
• pp.71-89
• /
• 2003

Although many studies demonstrate that one technique outperforms the others for a given data set, there is often no way to tell a priori which of these techniques will be most effective in the classification problems. Alternatively, it has been suggested that a better approach to classification problem might be to integrate several different forecasting techniques. This study proposes the linearly combining methodology of different classification techniques. The methodology is developed to find the optimal combining weight and compute the weighted-average of different techniques' outputs. The proposed methodology is represented as the form of mixed integer programming. The objective function of proposed combining methodology is to minimize total misclassification cost which is the weighted-sum of two types of misclassification. To simplify the problem solving process, cutoff value is fixed and threshold function is removed. The form of mixed integer programming is solved with the branch and bound methods. The result showed that proposed methodology classified more accurately than any of techniques individually did. It is confirmed that Proposed methodology Predicts significantly better than individual techniques and the other combining methods.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.26 no.4
• /
• pp.109-124
• /
• 2001

This paper presents a new method that can efficiently solve the integrated problem of line balancing and model sequencing in mixed model assembly lines (MMALs). Line balancing and model sequencing are important for an efficient use of MMALs. The two problems of balancing and sequencing MMALs are tightly related with each other. However, In almost all the existing researches on mixed-model production lines, the two problems have been considered separately. In this research, an endosymbiotic evolutionary a1gorithm, which is a kind of coevolutionary a1gorithm, is adopted as a methodology in order to solve the two problems simultaneously. This paper shows how to apply an endosymbiotic evolutionary a1gorithm to solving the integrated problem. Some evolutionary schemes are used In the a1gorithm to promote population diversity and search efficiency. The proposed a1gorithm is compared with the existing evolutionary algorithms in terms of solution quality and convergence speed. The experimental results confirm the effectiveness of our approach.

• Archives of design research
• /
• v.13 no.4
• /
• pp.43-56
• /
• 2000

The purpose of this thesis is to investigate about the various metamorphosis methodology, which is one of the specific skill being used widely in contemporary metal-craft. Even though this methodology is being investigated actively in the other genre, it is not easy to find the example and various experimentation for further expression than in metal craft. The metamorphosis had been dealed little by little before the metal-craft is being modernized. Recentely, the experimentation is more deeply and widely held; because the deconstruction methodology, which is the skill to express the differance in the meaning: material's archetype and dealing with the symbol and metaphorical meanings concealed, is being developed. The special skills of the metamorphosis are Mokumegane, reticulation, Fusing, and electro form Mixed Media metamorphosis; these investigation is being further developed with metal alloy methodology.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.1215-1218
• /
• 2009

The goal of this research is to apply the neural networks models for the disaggregation of the pan evaporation (PE) data, Republic of Korea. The neural networks models consist of generalized regression neural networks model (GRNNM) and multilayer perceptron neural networks model (MLP-NNM), respectively. The disaggregation means that the yearly PE data divides into the monthly PE data. And, for the performances of the neural networks models, they are composed of training and test performances, respectively. The training data consist of the mixed data The mixed data involves the historic data and the generated data using PARMA (1,1). And, the testing data consist of the only historic data, respectively. From this research, we evaluate the impact of GRNNM and MLP-NNM for the disaggregation of the nonlinear time series data. We should, furthermore, construct the credible data of the monthly PE data from the disaggregation of the yearly PE data, and can suggest the methodology for the irrigation and drainage networks system.