• Title/Summary/Keyword: Explanatory variables

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A Study on the Factors of Impulse Buying of Clothing and Their Relation to Fashion Involvement and Becognized Brand Preference of College Women (여대생의 의복 충동구매 차원과 충동구매에 영향을 미치는 변인 연구 -유행몰입과 유명상표 선호도와의 관련성을 중심으로-)

  • 구자명;이명희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.21 no.1
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    • pp.35-45
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    • 1997
  • The main purpose of this research was to classify the contents of impulse buying of clothing products and to investigate how the impulse buying was influenced by fashion involvement, recognized brand preference, and impulsiveness. Samples were 238 college women in Seoul, Korea. The results of the research were as follows. 1. Four factors of impulse buying derived by factor analysis; F 1 'sensitive aspects of products stimulation'; F. 2 'utility aspects of products stimulation'; F. 3 'consumer situation stimulation'; F. 4 'marketing situation stimulation'. 2. Impulsiveness had a positive relation with impulse buying, fashion involvement, and recognized brand preference. Fashion involvement had a positive relation with recognized brand preference and impulse buying. 3. Impulse buying was influenced by fashion involvement and impulsiveness. The explanatory power of the 2 variables was 9.3%. 4. Fashion involvement was influenced by sensitive aspects of products stimulation, major, recognized brand preference, income, and grade. The explanatory power of the 5 variables was 23.7%. 5. Recognized brand preference was influenced by income, fashion involvement, and marketing situation stimulation. The explanatory power of the 3 variables was 11.2%.

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Multivariate pHd analysis (다변량 pHd 분석)

  • 이용구
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.61-74
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    • 1995
  • These days, many kinds of graphical methods have been developed, and it is possible to get information directly from data. Especially, R-code (Cook and Weisberg, 1994) make it possible to draw various kinds of two and three dimensional plots, and to rotate the axis of the plots. But the maximum dimensional of the plot is three, so we can not draw plot of one response variable with more than three explanatory variables. Li(1991, 1992) has developed a method to reduce the dimension of the explanatory variables, so it is possible to draw lower dimensional plots to get information of the full explanatory variables. One of the dimension reduction method developed by Li is pHd. In this paper, we have tried to apply the pHd method for the model with multivariate response.

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Meta-Analysis of the Research Findings Concerning Functional Relationships of Explanatory Variables to Hope (희망과 설명 요인과의 함수적 관계에 대한 메타 분석)

  • 김달숙;문원희;안성윤;오현숙;권경희;박문경;최현숙;이미옥;김영주
    • Journal of Korean Academy of Nursing
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    • v.34 no.5
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    • pp.673-684
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    • 2004
  • Purpose: The purpose of the study was to meta-analyze the relationships of major concepts, which were made by synthesizing similar explanatory variables into more comprehensive concepts, to hope. Method: The relevant researches from Jan 1980 to Dec 2003, performed in adults or adult patients, were collected. Using the SAS program, meta-analysis were done with the input data of the number of subjects, the correlation coefficients provided from most of the studies or a few transformed correlation coefficients from F value. In order to get the analysis to be done in homogeneous status of the data regarding each relationship of each major concept to hope(p> 0.05), heterogeneous data were eliminated in repeating Q-test. Result: The major variable regarding relationship to self/transcendental being/life(spiritual wellbeing & self esteem) and social support(social support & family support) have very large positive effects on hope(D=l.72, D=l.27). The negative effect of the variable regarding captive state(uncertainty in illness, perceived unhealthiness status, & fatigue) and positive effect of coping(approach coping) on hope are in the level between moderate to large(D=-0.61, D=0.78). All the effects of the major concepts on hope were verified as significant statistically(p=.000). The Fail -Safe numbers showed the significant effects of the three major concepts except coping on hope were reliable. Conclusion: The results can be a guide to advance hope theory for nursing.

Analysis of time series models for consumer price index (소비자물가지수의 시계열모형 연구)

  • Lee, Hoon-Ja
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.3
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    • pp.535-542
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    • 2012
  • The consumer price index (CPI) data is one of the important economic measurement of the country. In this article, the Autoregressive Error (ARE) model has been considered for analyzing the monthly CPI data at Seoul, Pusan, Daegu, and Gwangju Cities in Korea, In the ARE model, nine economic variables are used as the explanatory variables for the CPI data set. The nine explanatory variables are CCI (coincident composite index), won-dollar rate, producer price index, oil import price, oil import volume, international current account, import price index, unemployment rate, and amount of currency. The result showed that the monthly ARE models explained about 46-52% for describing the CPI.

Linear profile monitoring with random covariate (설명변수가 랜덤인 성형 프로파일 연구)

  • Kim, Daeun;Lee, Sungim;Lim, Johan
    • The Korean Journal of Applied Statistics
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    • v.35 no.3
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    • pp.335-346
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    • 2022
  • Profile control chart aims to detect a change in the functional relationship of multivariate characteristics in the statistical process control. In monitoring two variables, a linear profile is of interest composed of the intercept and slope of one variable (response variable) against the other (explanatory variable). The previous studies on monitoring of the linear profile mostly assume that the explanatory variables are the same for all profiles. However, there are also cases where they vary depending on profiles. This paper intends to extend the monitoring method to where explanatory variables are different for each profile. We compare the new method's performance through simulation and apply it to monitoring a network intrusion using NSL-KDD data.

The Effect of Customer Satisfaction on Corporate Credit Ratings (고객만족이 기업의 신용평가에 미치는 영향)

  • Jeon, In-soo;Chun, Myung-hoon;Yu, Jung-su
    • Asia Marketing Journal
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    • v.14 no.1
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    • pp.1-24
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    • 2012
  • Nowadays, customer satisfaction has been one of company's major objectives, and the index to measure and communicate customer satisfaction has been generally accepted among business practices. The major issues of CSI(customer satisfaction index) are three questions, as follows: (a)what level of customer satisfaction is tolerable, (b)whether customer satisfaction and company performance has positive causality, and (c)what to do to improve customer satisfaction. Among these, the second issue is recently attracting academic research in several perspectives. On this study, the second issue will be addressed. Many researchers including Anderson have regarded customer satisfaction as core competencies, such as brand equity, customer equity. They want to verify following causality "customer satisfaction → market performance(market share, sales growth rate) → financial performance(operating margin, profitability) → corporate value performance(stock price, credit ratings)" based on the process model of marketing performance. On the other hand, Insoo Jeon and Aeju Jeong(2009) verified sequential causality based on the process model by the domestic data. According to the rejection of several hypotheses, they suggested the balance model of marketing performance as an alternative. The objective of this study, based on the existing process model, is to examine the causal relationship between customer satisfaction and corporate value performance. Anderson and Mansi(2009) proved the relationship between ACSI(American Customer Satisfaction Index) and credit ratings using 2,574 samples from 1994 to 2004 on the assumption that credit rating could be an indicator of a corporate value performance. The similar study(Sangwoon Yoon, 2010) was processed in Korean data, but it didn't confirm the relationship between KCSI(Korean CSI) and credit ratings, unlike the results of Anderson and Mansi(2009). The summary of these studies is in the Table 1. Two studies analyzing the relationship between customer satisfaction and credit ratings weren't consistent results. So, in this study we are to test the conflicting results of the relationship between customer satisfaction and credit ratings based on the research model considering Korean credit ratings. To prove the hypothesis, we suggest the research model as follows. Two important features of this model are the inclusion of important variables in the existing Korean credit rating system and government support. To control their influences on credit ratings, we included three important variables of Korean credit rating system and government support, in case of financial institutions including banks. ROA, ER, TA, these three variables are chosen among various kinds of financial indicators since they are the most frequent variables in many previous studies. The results of the research model are relatively favorable : R2, F-value and p-value is .631, 233.15 and .000 respectively. Thus, the explanatory power of the research model as a whole is good and the model is statistically significant. The research model has good explanatory power, the regression coefficients of the KCSI is .096 as positive(+) and t-value and p-value is 2.220 and .0135 respectively. As a results, we can say the hypothesis is supported. Meanwhile, all other explanatory variables including ROA, ER, log(TA), GS_DV are identified as significant and each variables has a positive(+) relationship with CRS. In particular, the t-value of log(TA) is 23.557 and log(TA) as an explanatory variables of the corporate credit ratings shows very high level of statistical significance. Considering interrelationship between financial indicators such as ROA, ER which include total asset in their formula, we can expect multicollinearity problem. But indicators like VIF and tolerance limits that shows whether multicollinearity exists or not, say that there is no statistically significant multicollinearity in all the explanatory variables. KCSI, the main subject of this study, is a statistically significant level even though the standardized regression coefficients and t-value of KCSI is .055 and 2.220 respectively and a relatively low level among explanatory variables. Considering that we chose other explanatory variables based on the level of explanatory power out of many indicators in the previous studies, KCSI is validated as one of the most significant explanatory variables for credit rating score. And this result can provide new insights on the determinants of credit ratings. However, KCSI has relatively lower impact than main financial indicators like log(TA), ER. Therefore, KCSI is one of the determinants of credit ratings, but don't have an exceedingly significant influence. In addition, this study found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size, and on service companies than manufacturers. The findings of this study is consistent with Anderson and Mansi(2009), but different from Sangwoon Yoon(2010). Although research model of this study is a bit different from Anderson and Mansi(2009), we can conclude that customer satisfaction has a significant influence on company's credit ratings either Korea or the United State. In addition, this paper found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size and on service companies than manufacturers. Until now there are a few of researches about the relationship between customer satisfaction and various business performance, some of which were supported, some weren't. The contribution of this study is that credit rating is applied as a corporate value performance in addition to stock price. It is somewhat important, because credit ratings determine the cost of debt. But so far it doesn't get attention of marketing researches. Based on this study, we can say that customer satisfaction is partially related to all indicators of corporate business performances. Practical meanings for customer satisfaction department are that it needs to actively invest in the customer satisfaction, because active investment also contributes to higher credit ratings and other business performances. A suggestion for credit evaluators is that they need to design new credit rating model which reflect qualitative customer satisfaction as well as existing variables like ROA, ER, TA.

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An Explanatory Model for Patient Adherence of Rehabilitation in patients with Spinal Cord Injury (척수손상 환자의 재활 치료 지속이행 설명모형)

  • Kim, Aee-Lee
    • Korean Journal of Adult Nursing
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    • v.22 no.1
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    • pp.90-102
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    • 2010
  • Purpose: The purpose of this study was to identity factors affecting patient adherence and to develop an explanatory model for patient adherence in patients with spinal cord injury. 8 Variables that were based on the previous research and a review of literature were used to construct hypothetical model. Social support, economic status, perceived barrier, patient provider relationship and rehabilitation related knowledge were the exogenous variables, depression, self-efficacy and patient adherence were the endogenous variables. Methods: Data form 117 patients with SCI were analysed to test the hypothetical model, using SAS and LISREL 8.53 program. Results: The overall fitness of the model was good (GFI=.991, AGFI=.915, NNFI=1.299, NFI=.953, p=.632) Depression, powerlessness, economic status were the strong factors influencing patient adherence. Powerlessness was significant factors for self-efficacy. Conclusion: To improve of patient adherence should focus on nursing intervention for depression, powerlessness and economic status.

A Comparison of Confidence Intervals for the Reliability of the Stress-Strength Models with Explanatory Variables

  • Eun Sik Park;Jae Joo Kim;Sung Hyun Park
    • Communications for Statistical Applications and Methods
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    • v.3 no.1
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    • pp.73-85
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    • 1996
  • In this paper, we consider the distribution-free confidence intervals for the reliability of the stress-strength model when the stress X and strength Y depend linearly on some explanatory variables z and w, respectively. We apply these confidence intervals to the Rocket-Motor data and compare the results to those of Guttman et al. (1988). Some simulation results show that the distribution-free confidence intervals have better performance for nonnormal errors compared to those of Guttman et al. (1988), which are designed for normal random variables in respect that the former yield the coverage levels closer to the nominal coverage level than the latter.

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Analysis of Variables Affecting Young Children's Relational and External Aggression (유아의 관계적, 외현적 공격성에 영향을 미치는 관련변인들의 탐색)

  • Kim, Yeon
    • Journal of the Korean Home Economics Association
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    • v.48 no.1
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    • pp.55-66
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    • 2010
  • The purpose of this study was to investigate the role of variables on young children's external aggression and relational aggression. Specifically, young children's temperaments and gender differences, parental marital conflicts, fathers' anti-social behaviors, mothers' child-rearing behaviors and psychological characteristics were studied. The findings of the study were as follows: Firstly, it was found that male children exhibited a higher level of external aggression than female children, while there was no significant difference between male and female children in terms of relational aggression. Secondly, analysis of variables such as children's temperaments and domestic environments revealed that fathers' anti-social behaviors, the adaptability of young children's temperaments and mothers' depression tendency have significant explanatory adequacies for young children's relational aggression. Furthermore, gender difference adaptability, activity and emotionality of young children's temperaments, in addition to parental marital conflicts, also have significant explanatory adequacies for young children's external aggression.

College Students' Safety Behaviors in the Dental Technology Laboratory Predicted by the Theory of Planned Behavior (치기공전공 대학생의 실습실 안전 행동에 대한 계획된 행위 이론 검증)

  • Park, Jong-Hee
    • The Journal of Korean Society for School & Community Health Education
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    • v.10 no.2
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    • pp.15-27
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    • 2009
  • Background and Goals: This study set out to apply the Theory of Planned Behavior (TPB), which is known to provide good explanations about human behavior, and test it to see if it could predict safety behavior by affecting the intention for safety behavior and perceived behavioral control and if intention for safety behavior would be influenced by attitude toward behavior, subjective norm, and perceived behavioral control. Methods: The subjects were 98 dental technology majors in D City. The questionnaires were distributed, filled out and collected on the spot. Each item was measured on a seven-point scale, and it's interpreted that the higher mean of each item would translate into safety behavior. Results: The analysis results of the Theory of Reasoned Action (TRA) variables indicate that only subjective norm ($\beta$ = .528, p < .000) had explanatory power of 27.2% (F = 37.170, P <.001) for intention for safety behavior. The results show that subjective norm and attitude toward behavior affect intention for safety behavior. The analysis results of the TPB variables revealed that intention for safety behavior had explanatory power of 26.6% (F = 36.072, p <.000) for behavior. When intention was added by perceived behavioral control, the explanatory power increased to 34.5% (F = 26.530, p <.000). And when it's added by knowledge, the explanatory power increased to 39.0% (F =21.661, p <.000). The results suggest that intention has the biggest influence on predicting safety behavior. Conclusion: The results show that the TPB model by Ajzen (1985) has greater forecasting power for intention and act of safety behavior than the TRA model by Fishbein & Ajzen (1980) and the TPB model can applied in the prediction of safety behavior. Thus safety behavior is considered as behavior whose determination control is limited. And safety education programs that add knowledge to the TPB variables will help the students promote their safety behavior.

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