• Journal of the Korean Data and Information Science Society
• /
• v.13 no.2
• /
• pp.115-128
• /
• 2002

One of the well-studied problems in data mining is the search for association rules. In this paper we consider the statistical decision making of association threshold in association rule. A chi-squared statistic is used to find minimum association threshold. We calculate the range of the value that two item sets are occurred simultaneously, and find the minimum confidence threshold values.

• 한국데이터정보과학회:학술대회논문집
• /
• 2002.06a
• /
• pp.169-182
• /
• 2002

One of the well-studied problems in data mining is the search for association rules. In this paper we consider the statistical decision making of association threshold in association rule. A chi-squared statistic is used to find minimum association threshold. We can calculate the range of the value that two item sets are occurred simultaneously, and can find the minimum confidence threshold values.

• Proceedings of the IEEK Conference
• /
• 2003.11b
• /
• pp.207-210
• /
• 2003

In this paper, we explore a new data mining capability that is based on Quantitative Attribute and Time Series. Our solution procedure consists of two steps. First, We derive an algorithm to contain the Quantitative Attribute into a set of candidate item. Second, We redefine the concepts of confidence and support for composite association rules. It is shown that proposed methode is very advantageous and can lead to prominent performance improvement.

• Korean Journal of Adult Nursing
• /
• v.27 no.1
• /
• pp.73-82
• /
• 2015

Purpose: This study examined the effects of peer assisted learning (PAL) using video recordings in standardized patients (SP) simulation. Methods: A mixed-method approach was adopted, in which quantitative data were supplemented with qualitative data. Research participants consisted of 49 nursing students, 24 of whom were assigned to the experimental group, and 25 to the control group. The 12 item instrument was used to measure perioperative care knowledge, while performance confidence was assessed with the 10 item questionnaire, and clinical critical thinking skills with the Clinical Critical Thinking Skill Test (CCTS). Qualitative data were collected using a reflective journaling and in-depth interviews. Results: Participants in the experimental group exhibited significantly higher levels of knowledge than those in the control group (t=5.43, p<.001), and were significantly more confident in their performances (F=52.33, p<.001). However, no significant differences were found between the experimental and the control groups with regard to CCTS (t=0.72, p=.477). A qualitative content analysis was conducted using the interview and reflective journaling data, in which six major themes were elicited from three codes. Conclusion: PAL employing video recordings is expected to be utilized as a teaching and learning strategy in simulation-based nursing practicum with greater frequency and longer period, given the positive effects observed in this study.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.6
• /
• pp.1189-1197
• /
• 2013

Data mining is the process of analyzing a huge database from different perspectives and summarizing it into useful information. One of the well-studied problems in data mining is association rule generation. Association rule mining finds the relationship among several items in massive volume database using the interestingness measures such as support, confidence, lift, etc. Typical applications for this technique include retail market basket analysis, item recommendation systems, cross-selling, customer relationship management, etc. But these interestingness measures cannot be used to establish a causality relationship between antecedent and consequent item sets. This paper propose causal association thresholds to compensate for this problem, and then check the three conditions of interestingness measures. The comparative studies with basic and causal association thresholds are shown by numerical example. The results show that causal association thresholds are better than basic association thresholds.

• Physical Therapy Korea
• /
• v.15 no.2
• /
• pp.44-53
• /
• 2008

The purpose of this preliminary study was to develop a measurement for assessing risk factors for falling in community-dwelling elderly persons. Rasch analysis and principal component analysis were performed to examine whether items on the Activities-Specific Balance Confidence (ABC), assessing self-efficacy, and items on the Berg Balance Scale (BBS), assessing balance function, contribute jointly to a unidimensional construct in the elderly. A total of 35 elderly persons (4 men, 31 women) participated. In this study, each item of ABC (16 items) and BBS (14 items) was scored on a 5-point ordinal rating scale from 0 to 4. The initial Rasch and principal component analysis indicated that 3 of the ABC items and 2 of the BBS items were misfit for this study. These 5 items were excluded from further study. After combining ABC and BBS, Rasch and principal component analyses were examined and finally 23 items selected; 12 items from ABC, 11 items from BBS. The 23 combined ABC-BBC items were arranged in order of difficulty. The hardest item was 'walk outside on icy sidewalks' and the easiest item was 'pivot transfer'. Although structural calibration of each 5 rating scale categories was not ordered, the other three essential criteria of Linacre's optimal rating scale were satisfied. Overall, the ABC-BBS showed sound item psychometric properties. Each of the 5 rating scale categories appeared to distinctly identify subjects at different ability levels. The findings of this study support that the new ABC-BBS scale measure balance function and self-efficacy. It will be a clinically useful assessment of risk factors for falling in the elderly. However, the number of subjects was too small to generalize our results. Further study is needed to develop a new assessment considering more risk factors of falling in elderly.

• Journal of Family Resource Management and Policy Review
• /
• v.17 no.3
• /
• pp.59-79
• /
• 2013

The purpose of this study was to develop and validate a scale for the multidimensional assessment of work-family spillover in working couples with children. The subjects of this study were working wives and husbands with children in Daegu. Two surveys were administered, eliciting 243 respondents and 227 respondents, respectively. Then a series of tests were run to analyze the data, including item-to-total correlation, Cramer's V coefficients, item discrimination, Cronbach's ${\alpha}$, and exploratory and confirmatory factor analysis. The results yielded that, first, a preliminary 102 items were developed on the basis of the literature review, and this was narrowed down to 72 items selected with the help of experts. Through preliminary, primary and secondary survey analysis, the scale for the multidimensional assessment of work-family spillover was developed and validated, with a 36 items scale, 18 items for work to family spillover and 18 items for family to work spillover. Furthermore, the scale constructed three spillover processes - time interference, energy depletion, and psychological distraction - and consisted of four different domains of family life into which spillover occurs - namely marital relationship, parent-child relationship, leisure, and housework. The internal reliability was evaluated to show a confidence range of .85 ~.92 for each factor.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.2
• /
• pp.285-290
• /
• 2009

An association rule mining has been studied to find hidden data pattern in data mining. A realization of fast processing method have became a big issue because it treated a great number of transaction data. The time which is derived by association rule finding method geometrically increase according to a number of item included data. Accordingly, the process to reduce the number of rules is necessarily needed. We propose the T-algorithm that is efficient rule reduction algorithm. The T-algorithm can reduce effectively the number of association rules. Because that the T-algorithm compares transaction data item with binary format. And improves a support and a confidence between items. The performance of the proposed T-algorithm is evaluated from a simulation.

• Korean Parent-Child Health Journal
• /
• v.4 no.2
• /
• pp.32-42
• /
• 2002

This study was conducted to test the reliability and validity of "What my baby is like(WBL)" that was developed by Pridham et al. for measuring infant temperament. 37 subjects were participated four times-1, 3, 6, and 12months, and 146 cases were analyzed. The construct validity for the scale was tested by factor analysis with four factor loading solution based on the previous study. One item was excluded because total-item correlation was too low, so that the number of total items were eighteen. The analysis yielded four well defined factors: amenability and persistence, activity, reactivity, and adaptability. These four factors explained 57.62% of the variance in the infant temperament. The criterion related Validity was confirmed by the relationship between the infant temperament and HOME, and between the infant temperament maternal confidence in childrearing. The reliability of the scale was determined with Cronbach's alpha coefficient and Guttman split-half coefficient. Cronbach's alpha was .86, for 18 items, and Guttman split-half cofficient was .81. In subscale analysis, Cronbach's alpha was .56~.84. In conclusion, WBL showed a high degree of validity and reliability, suitable in Korean infants for measuring temperament. In the further study, it would be necessary to refine the concept of temperament and to analyze the correlation between WBL and other temperament inventory.

• Korean Journal of Childcare and Education
• /
• v.19 no.6
• /
• pp.1-19
• /
• 2023

Objective: The aim of the present study was to develop and validate a recognition scale for childcare teachers' rights. Methods: Statistical methods for data analysis involved the use of SPSS 20.0 and AMOS 20.0. To confirm the reliability and validity of the developed scale, various analyses, including item quality assessment, item discrimination, exploratory factor analysis, confirmatory factor analysis, and Pearson correlation analysis, were conducted. The maximum likelihood estimation method was employed for model fitting. Goodness of fit was assessed using SRMR, RMSEA and its 90% confidence interval, CFI, and TLI. Through these analyses, the scale's reliability and validity exceeded the standard. Consequently, 5 factors and 30 questions were ultimately selected as the recognition scale for childcare teachers' rights. Results: First, a recognition scale for childcare teachers' rights was developed to reflect changes in childcare settings. Second, an objective measurement was incorporated into the recognition scale of childcare teachers' rights. Third, the analysis using the proposed scale revealed a correlation between the recognition of childcare teachers' rights and life satisfaction. Conclusion/Implications: The study developed a scale capable of objectively measuring the recognition of childcare teachers' rights.