• Title/Summary/Keyword: T-test analysis

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The Effect of Brand Personality and Sports Star Personality on Brand Attachment and Brand Loyalty (스포츠브랜드 기업의 브랜드 개성과 스포츠 스타 개성이 브랜드 애착 및 브랜드 충성도에 미치는 영향)

  • Kim, Jae-Hwan
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.92-103
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    • 2017
  • This study compared and analyzed the effects and differences of sports brand and sport star's personality on brand attachment and brand loyalty. For this purpose, we conducted a questionnaire survey of university students in Busan and Gyeongsang provinces. A total of 316 copies were selected as valid samples for this study. For the data analysis method, using SPSS 18.0 version, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, corresponding sample t-test and multiple regression analysis were carried out. The results of this study are as follows: First, sports brand personality had a significant effect on brand attachment in order of interest, sophistication, and robustness. Second, the sport brand personality had a significant effect on behavioral loyalty in order of interest, sophistication, and robustness, and effect on attitudinal loyalty in order of robustness, interest, ability. Third, sports star personality had a significant effect on brand attachment in order of interest, trust, and sophistication. Fourth, sports star personality had a significant effect on behavioral and attitudinal loyalty in order of interest, trust and ability. Fifth, the analysis of the difference between sports brand personality and sports star personality showed that the difference between the mean values of all factors was statistically significant.

Analysis of the Relationship between Human Risk Factors and Evacuation Behavior for Tunnel Safety (터널안전에 대한 인적위험 요소와 대피행동 간의 관계분석)

  • Baek, Chung-Hyun;Park, Sea-Man;Choi, Byong-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.535-546
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    • 2019
  • The purpose of this research was to analyze the relationship between human risk factors and evacuation behavior stages for tunnel safety. Therefore, we conducted a survey using a structured questionnaire on the relationship between safety facilities and safety behavior in order to derive an optimized interaction between the two. The research subjects were 141 tunnel users who understand the tunnel environment. The survey period was from June 24, 2018, to September 28, 2018. As data analysis methods, we employed a frequency analysis, a multiple regression analysis, and an independent-sample t-test. In the analysis of the correlation between the human risk factors and the major variables of evacuation behavior, the evacuation phases 1, 2, and 3 were all correlated with acceleration and delay, and the human risk factors were partially correlated. In the multiple regression analysis, the will to comply with laws (${\beta}=0.188$, p=0.034) and information recognition within the tunnel (${\beta}=0.220$, p=0.009) were factors that influence the relationship between human risk factors and evacuation behavior, indicating 12% explanatory power of the impact of human risk factors for the acceleration of evacuation behavior 3. The important variables between human risk factors and evacuation behavior were compliance with laws and information recognition in tunnels. Hence, it is necessary to study the elements that interact with the environment in the tunnel.

The Effect of General Exercise Enthusiast on Exercise Addiction through Basic Psychological Need (일반운동애호가들의 기본심리욕구가 운동중독에 미치는 영향)

  • Lee, Seung-Do;Kim, Young-Hun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.4
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    • pp.251-264
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    • 2020
  • The purpose of this study was to examine the differences and the relationship between basic psychological needs and exercise addiction and to identify effects of To do this, the data were collected using the self-evaluating questionnaires on the exercise addiction, the of basic psychological needs, and the subjective were distributed to 305 participants in general exercise enthusiast for all, and the collected data. This study used the SPSS Statistics 18.0 program to process data. Exploratory factor analysis was performed for validity and Cronbach's α was performed for reliability. In addition, Frequency Analysis was carried out to analyze the demographic characteristics and Pearson's Correlation Analysis, independent t-test, one-way ANOVA, correlation analysis, multiple regression analysis Analysis were performed to verify the correlations and differences among variables. The significance level in this research was set at=.05 and the followings α are derived outcomes. The following is the comprehensive finding of the effect of general exercise enthusiast exercise addiction through basic psychological needs. First, there was no significant difference in basic psychological need and Exercise Addiction of general characteristics, but participation in 6 days was the highest in exercise amount per week. Second, Basic Psychological Need(autonomy, competition, relatedness) showed a high difference in Exercise Addiction(withdrawal symptoms, exercise need, emotional attachment). Third, correlation analysis between all variables showed statistically significant difference. Fourth, Basic Psychological Need(autonomy, competition) was found to have a high effect on Exercise Addiction(withdrawal symptoms, exercise need, emotional attachment).

Comparative Validation of the Mixed and Permanent Dentition at Web-Based Artificial Intelligence Cephalometric Analysis (혼합치열과 영구치열 환자를 대상으로 한 웹 기반 인공지능 두부 계측 분석에서의 비교 검증)

  • Shin, Sunhahn;Kim, Donghyun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.1
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    • pp.85-94
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    • 2022
  • This retrospective study aimed to evaluate the difference in measurement between conventional orthodontic analysis and artificial intelligence orthodontic analysis in pediatric and adolescent patients aged 7 - 15 with the mixed and permanent dentition. A total of 60 pediatric and adolescent patients (30 mixed dentition, 30 permanent dentition) who underwent lateral cephalometric radiograph for orthodontic diagnosis were randomly selected. Seventeen cephalometric landmarks were identified, and 22 measurements were calculated by 1 examiner, using both conventional analysis method and deep learning-based analysis method. Errors due to repeated measurements were assessed by Pearson's correlation coefficient. For the mixed dentition group and the permanent dentition group, respectively, a paired t-test was used to evaluate the difference between the 2 methods. The difference between the 2 methods for 8 measurements were statistically significant in mixed dentition group: APDI, SNA, SNB, Mandibular plane angle, LAFH (p < 0.001), Facial ratio (p = 0.001), U1 to SN (p = 0.012), and U1 to A-Pg (p = 0.021). In the permanent dentition group, 4 measurements showed a statistically significant difference between the 2 methods: ODI (p = 0.020), Wits appraisal (p = 0.025), Facial ratio (p = 0.026), and U1 to A-Pg (p = 0.001). Compared with the time-consuming conventional orthodontic analysis, the deep learning-based cephalometric system can be clinically acceptable in terms of reliability and validity. However, it is essential to understand the limitations of the deep learning-based programs for orthodontic analysis of pediatric and adolescent patients and use these programs with the proper assessment.

A Study on Management Strategies and Management Performance According to Organizational Culture Types in the Digital Economy Era (디지털 경제 시대의 조직문화 유형에 따른 경영전략 및 경영성과에 관한 연구)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.85-96
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    • 2022
  • The purpose of this study was to investigate how the management strategies and organizational culture required in the digital economy have an effect on business performance. It provided basic data on management strategies and organizational culture necessary to approach as a digital leading country. For data collection, a survey was conducted from March 1 to May 30, 2022 for companies located in J province and engaged in industries related to the digital economy. The survey was conducted online and non-face-to-face, and a total of 225 companies participated in the survey. For statistical analysis, frequency analysis, exploratory factor analysis and reliability analysis, cluster analysis, independent sample t-test, and multiple regression analysis were performed. The research results are as follows. First, organizational culture was classified into high and low groups according to preference in innovation oriented, relationship oriented, task oriented, and hierarchical oriented. Second, the 4 types of organizational culture showed differences in prospectors strategy, analyzers strategy, defenders strategy, differentiation strategy, cost leadership strategy, financial performance, and non-financial performance according to preference. Third, management strategies affecting financial performance were found to be analyzers strategy, differentiation strategy, prospectors strategy, and cost leadership strategy. Fourth, management strategies affecting non-financial performance were found to be differentiation strategy, defenders strategy, analysis strategy, offensive strategy, cost leadership strategy, and focus strategy. Fifth, organizational culture affecting financial performance was found to be task oriented. Sixth, organizational culture affecting non-financial performance was found to be innovation oriented and relationship oriented. Through these studies, it is expected that the economy will be revitalized in the domestic market and a growth ecosystem that can take a new leap forward is created in the global market.

Testing for Convergence in Carbon Dioxide Emissions : Using a Dynamic Panel Analysis and Panel Unit Root Test (이산화탄소 배출량의 수렴성 검정 : 다이나믹 패널 분석과 패널 단위근 검정을 이용하여)

  • Cho, Sungtaek;Cho, Yongsung
    • Environmental and Resource Economics Review
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    • v.18 no.1
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    • pp.53-73
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    • 2009
  • This study examines the existence of ${\beta}$-convergence of carbon dioxide emissions in 24 countries over the period 1971~2002. For that purpose, The model of economic growth developed by Barro and Sala-i-Martin (1995) is extended and conducted Dynamic panel analysis and unit root testing by employing the panel stationarity test of Levin et al. (2002) and 1m et al. (2003). A dynamic panel estimation is well known method including capacity to control for both the endogeneity problem and the unobserved country-specific effects problem. Dynamic panel estimation method has been widely used in similar empirical studies. therefore, we also used the dynamic panel estimation method in our estimation. The result show that evidence of ${\beta}$-convergence exists among both the Obligatory GHG reduction countries (Annex) and the Non-obligatory GHG reduction countries (Non-Annex). but China discharge amount of $CO_2$ gas more than any other country. This fact can cause some bias in overall test. and so we reexamined test of convergence for Non-annex countries excluding china. As expected, in the Non-annex countries excluding china, I couldn't find any evidence of convergence.

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Analysis of Drifter's Critical Performance Factors Using Its Hydraulic Analysis Model (드리프터 유압 해석모델을 활용한 성능격차 유발 인자 접근 사례)

  • Noh, Dae-Kyung;Seo, Jaho;Park, Jin-Sun;Park, James;Jang, Joo-Sup
    • Journal of the Korea Society for Simulation
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    • v.23 no.3
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    • pp.33-40
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    • 2014
  • Drifter is equipment which is hard to localize. Performance of prototype hasn't performed well compared to product of leading companies even though advanced foreign firm's product were dead copied. This study shows cases of approaching the factor which produces performance gap through drifter hydraulic analysis model which is core component of rock drill. Progression of procedure is following. 1) Securing reliability of the analysis model by comparing impact test result with analysis result. 2) Drawing a graph which indicates performance gap between prototype and drifter of advanced foreign firm by using analysis model. 3) Approaching the factor which produces performance gap with analysing variable of the analysis model. Software used for this analysis is SimulationX.

Analysis of Customer Characteristics on Environment-Friendly Clothing Products (환경친화적 의류제품에 대한 소비자의 특성 분석)

  • 최나영;김문숙
    • The Research Journal of the Costume Culture
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    • v.7 no.1
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    • pp.1-12
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    • 1999
  • Analysis of Customer Characteristics on Environment-Friendly Clothing Products The purpose of this study is to analyze the characteristics of the environment-friendly customers in Korean fashion market. The study is analyzed through questionary paper to the domestic female group of more than or equal to age of twenty living in Seoul. The collected questionary paper is analyzed with SPSS/PC/sub +/ program and the method of statistical analysis used for this study is frequency analysis, factor analysis, cluster analysis, t-test, and crosstab analysis. The result of analysis of the characteristics of the environment -friendly customers involves the following: Firstly, there were no significant difference in the demographic characteristics between the environment-friendly customer group and non-environment-friendly customers group. Secondly, environment-friendly customers had more environmental programs, had seen and heard more environmental program through current news from TV, newspapers, and magazines, and had more interest in recycling or separated collecting of garbage, and been doing better recycling or separated collecting. These serial processes of research, have the meaning in confirming that segmented market for environment-friendly customers exists in the domestic fashion market, and these will not only set up the basis of research on the market of environment-friendly fashion product but also be able to contribute to propose future direction of research.

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The Effect of Using Two Different Type of Dose Calibrators on In Vivo Standard Uptake Value of FDG PET (FDG 사용 시 Dose Calibrator에 따른 SUV에 미치는 영향)

  • Park, Young-Jae;Bang, Seong-Ae;Lee, Seung-Min;Kim, Sang-Un;Ko, Gil-Man;Lee, Kyung-Jae;Lee, In-Won
    • The Korean Journal of Nuclear Medicine Technology
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    • v.14 no.1
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    • pp.115-121
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    • 2010
  • Purpose: The purpose of this study is to measure F-18 FDG with two different types of dose calibrator measuring radionuclide and radioactivity and investigate the effect of F-18 FDG on SUV (Standard Uptake Value) in human body. Materials and Methods: Two different dose calibrators used in this study are CRC-15 Dual PET (Capintec) and CRC-15R (Capintec). Inject 1 mL, 2 mL, 3 mL of F-18 FDG into three 2 mL syringes, respectively, and measure initial radioactivity from each dose calibrator. Then measure and record radioactivity at 30 minute interval for 270 minutes. According to the initial radioactivity, linearity between decay factor driven from radioactive decay formula and the values measured by dose calibrator have been analyzed by simple linear regression. Fine linear regression line optimizing values measured with CRC-15 through regression analysis on the basis of the volume of which the measured value is close to the most ideal one in CRC-15 Dual PET. Create ROI on lung, liver, and region part of 50 persons who has taken PET/CT test, applying values from linear regression equation, and find SUV. We have also performed paired t-test to examine statistically significant difference in the radioactivity measured with CRC-15 Dual PET, CRC-15R and its SUV. Results: Regression analysis of radioactivity measured with CRC-15 Dual PET and CRC-15R shows results as follows: in the case 1 mL, the r statistic representing correlation was 0.9999 and linear regression equation was y=1.0345x+0.2601; in 2 mL case, r=0.9999, linear regression equation y=1.0226x+0.1669; in 3 mL case, r=0.9999, linear regression equation y=1.0094x+0.1577. Based on the linear regression equation from each volume, t-test results show significant difference in SUV of ROI in lung, liver, region part in all three case. P-values in each case are as follows: in 1 mL case, lung, liver and region (p<0.0001); in 2 mL case, lung (p<0.002), liver and region (p<0.0001); in 3 mL case, lung (p<0.044), liver and region (p<0.0001). Conclusion: Radioactivity measured with CRC-15 Dual PET, CRC-15R, dose calibrator for F-18 FDG test, do not show difference correlation, while these values infer that SUV has significant differences in the aspect of uptake in human body. Therefore, it is necessary to consider the difference of SUV in human body when using these dose calibrator.

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Comparison of the Values of Bone Mineral Density Between DEXAs (DEXA 측정기 간 골밀도 값 비교)

  • Lee, In-Ja
    • Journal of radiological science and technology
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    • v.34 no.4
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    • pp.271-276
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    • 2011
  • Statistical analysis was performed on the patients who took bone densitometry using Lunar and Hologic equipments for 5 months from January $1^{st}$ 2010 to May $30^{st}$, 2010. Patients consisted of 50 in their 40s, 100 in 50s and 50 in 60s. In addition, the results from bone densitometry were carried out on the same subject with two equipments on the same day. In case of 200 subjects, who received the bone densitometry with two equipments, the average age was 54.5 and 54.4 years old, respectively. There was no difference. The T- score of Lunar equipment was $-1.377{\pm}1.221$ and that of Hologic equipment was $-1.806{\pm}1.123$. The T-score of Lunar equipment was measured higher than that of Hologic equipment. T-test was conducted to determine the equality of the mean of two groups with 200 patients. Since the pvalue was 0.000, the value of bone mineral density was significant in two equipments. Furthermore, the patients, who were diagnosed by Lunar, showed more 'normal' and who were diagnosed by Hologic, showed more osteoporosis, which cartegorized by WHO, such as normal, osteopenia, and osteoporosis. Thus, compared results of bone densitometry on lumbar spine L1 - L4 of four normal people with the same equipment showed that T- score of Lunar equipment was $-0.4{\pm}1.2$, and T- score of Hologic equipment was $-1.1{\pm}1.5$. It showed the higher T- score was measured in Lunar equipment as well. Therefore, the correction factor should be considered to use, since T- scores are different between two equipments.