Empirical Analysis Based on Correlation Analysis and Cross-Correlation Table Analysis of College Students’ Monthly Consumption Related Factors

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Download Full-text

Structural Relationships among Customer Delight, Exercise Commitment, and Psychological Happiness

Restaurant Business ◽

10.26643/rb.v118i1.7252 ◽

2019 ◽

Vol 118 (1) ◽

pp. 8-13

Author(s):

Boo-Gil Seok ◽

Hyun-Suk Park

Keyword(s):

College Students ◽

Factor Analysis ◽

Statistical Analysis ◽

Confirmatory Factor Analysis ◽

Correlation Analysis ◽

Frequency Analysis ◽

Structural Correlation ◽

Structural Relationships ◽

Confirmatory Factor ◽

Customer Delight

Background/Objectives: The purpose of this study is to find out the structural relationships among customer delight, exercise commitment, and psychological happiness to contribute developing exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted and 160 college students who are familiar with mobile exercise applications participated. The data analyzed with frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural correlation analysis. The validity and the reliability were obtained: customer delight (χ2=26.532, df=14, CFI=.985, TLI=.971, RMSEA=.075), exercise commitment (χ2=113.802, df=49, CFI=.956, TLI=.941, RMSEA=.091), and psychological happiness (χ2=15.338, df=8, CFI=.989, TLI=.980, RMSEA=.076, and Cronbach’s α=.906~.938).

Download Full-text

Application of Cross-correlation Analysis Method for Measurement of the Fluid Flow Rate Based on X-ray Radiation

Journal of Nano- and Electronic Physics ◽

10.21272/jnep.11(1).01025 ◽

2019 ◽

Vol 11 (1) ◽

pp. 01025-1-01025-5 ◽

Cited By ~ 1

Author(s):

N. A. Borodulya ◽

◽

R. O. Rezaev ◽

S. G. Chistyakov ◽

E. I. Smirnova ◽

...

Keyword(s):

Fluid Flow ◽

Correlation Analysis ◽

Flow Rate ◽

Cross Correlation ◽

Fluid Flow Rate ◽

Analysis Method ◽

X Ray ◽

Cross Correlation Analysis ◽

Correlation Analysis Method

Download Full-text

DELINEATING CONTRIBUTING AREAS TO KARST SPRINGS USING NEXRAD PRECIPITATION ESTIMATES AND CROSS-CORRELATION ANALYSIS

10.1130/abs/2017am-302197 ◽

2017 ◽

Author(s):

Trevor Budge ◽

Keyword(s):

Correlation Analysis ◽

Cross Correlation ◽

Karst Springs ◽

Cross Correlation Analysis ◽

Precipitation Estimates

Download Full-text

Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment

Sensors ◽

10.3390/s18051571 ◽

2018 ◽

Vol 18 (5) ◽

pp. 1571 ◽

Cited By ~ 4

Author(s):

Jhonatan Camacho Navarro ◽

Magda Ruiz ◽

Rodolfo Villamizar ◽

Luis Mujica ◽

Jabid Quiroga

Keyword(s):

Correlation Analysis ◽

Damage Assessment ◽

Structural Damage ◽

Cross Correlation ◽

Data Driven ◽

Cross Correlation Analysis ◽

Data Driven Approach

Download Full-text

POWER LAW AND STRETCHED EXPONENTIAL EFFECTS OF EXTREME EVENTS IN CHINESE STOCK MARKETS

Fluctuation and Noise Letters ◽

10.1142/s0219477510000162 ◽

2010 ◽

Vol 09 (02) ◽

pp. 203-217 ◽

Cited By ~ 23

Author(s):

XIAOJUN ZHAO ◽

PENGJIAN SHANG ◽

YULEI PANG

Keyword(s):

Correlation Analysis ◽

Power Law ◽

Extreme Events ◽

Stock Markets ◽

Cross Correlation ◽

Extreme Values ◽

Cumulative Distribution ◽

Stretched Exponential ◽

Cross Correlation Analysis ◽

Chinese Stock Markets

This paper reports the statistics of extreme values and positions of extreme events in Chinese stock markets. An extreme event is defined as the event exceeding a certain threshold of normalized logarithmic return. Extreme values follow a piecewise function or a power law distribution determined by the threshold due to a crossover. Extreme positions are studied by return intervals of extreme events, and it is found that return intervals yield a stretched exponential function. According to correlation analysis, extreme values and return intervals are weakly correlated and the correlation decreases with increasing threshold. No long-term cross-correlation exists by using the detrended cross-correlation analysis (DCCA) method. We successfully introduce a modification specific to the correlation and derive the joint cumulative distribution of extreme values and return intervals at 95% confidence level.

Download Full-text