scholarly journals A New Method to Evaluate the Similarity of Chromatographic Fingerprints: Weighted Pearson Product-Moment Correlation Coefficient

2004 ◽  
Vol 42 (10) ◽  
pp. 545-550 ◽  
Author(s):  
Y. Liu ◽  
Q. Meng ◽  
R. Chen ◽  
J. Wang ◽  
S. Jiang ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
New Method ◽  
Pearson Product Moment Correlation ◽  
Chromatographic Fingerprints

scholarly journals THE CORRELATION BETWEEN MOTIVATION BEHAVIOUR AND SPEAKING ABILITY

2019 ◽  
Vol 1 (2) ◽  
pp. 115
Author(s):  
Diki Maulana ◽  
Widya Sri Wahyuni ◽  
Detya Siregar
Keyword(s):  
Qualitative Research ◽  
Correlation Coefficient ◽  
Research Design ◽  
Story Telling ◽  
Weak Correlation ◽  
Pearson Product Moment Correlation ◽  
Speaking Test ◽  
English Students

This researchis aboutthe correlation between motivation behaviour and spekaing abilityat English Students Association. Hence, this research is aimed to find out whether or not there is a significant correlation between motivation behaviour and speaking ability at English Students Association. This research used correlation research design and qualitative research. The instrument is motivation test using questionnaire and speaking test by story telling. The population of this research is English Students Association of IKIP Siliwangi and the sample is 30 students. The data o this research is analysed using pearson product  moment correlation coefficient. The degree of correlation between two variables was low with a correlation coefficient of 0.045. the result showed that there was a weak correlation between motivation behaviour and speaking ability at English Students Association.

Vague Correlation Coefficient of Interval Vague Sets and its Applications to Topsis in MADM Problems

2014 ◽  
pp. 140-173
Author(s):  
John Robinson P. ◽  
Henry Amirtharaj E. C.
Keyword(s):  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Intuitionistic Fuzzy Sets ◽  
New Method ◽  
Numerical Illustration ◽  
Vague Sets ◽  
Intuitionistic Fuzzy ◽  
Statistical Confidence ◽  
Order Preference ◽  
Novel Method

Various attempts are made by researchers on the study of vagueness of data through Intuitionistic Fuzzy sets and Vague sets, and also it is shown that Vague sets are Intuitionistic Fuzzy sets. However, there are algebraic and graphical differences between Vague sets and Intuitionistic Fuzzy sets. In this chapter, an attempt is made to define the correlation coefficient of Interval Vague sets lying in the interval [0,1], and a new method for computing the correlation coefficient of interval Vague sets lying in the interval [-1,1] using a-cuts over the vague degrees through statistical confidence intervals is also presented by an example. The new method proposed in this work produces a correlation coefficient in the form of an interval. The proposed method produces a correlation coefficient in the form of an interval from a trapezoidal shaped fuzzy number derived from the vague degrees. This chapter also aims to develop a new method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve MADM problems for Interval Vague Sets (IVSs). A TOPSIS algorithm is constructed on the basis of the concepts of the relative-closeness coefficient computed from the correlation coefficient of IVSs. This novel method also identifies the positive and negative ideal solutions using the correlation coefficient of IVSs. A numerical illustration explains the proposed algorithms and comparisons are made with some existing methods.

Vague Correlation Coefficient of Interval Vague Sets and its Applications to Topsis in MADM Problems

Fuzzy Systems ◽  
2017 ◽  
pp. 1110-1149
Author(s):  
John Robinson P. ◽  
Henry Amirtharaj E. C.
Keyword(s):  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Intuitionistic Fuzzy Sets ◽  
New Method ◽  
Numerical Illustration ◽  
Vague Sets ◽  
Intuitionistic Fuzzy ◽  
Statistical Confidence ◽  
Order Preference ◽  
Novel Method

Various attempts are made by researchers on the study of vagueness of data through Intuitionistic Fuzzy sets and Vague sets, and also it is shown that Vague sets are Intuitionistic Fuzzy sets. However, there are algebraic and graphical differences between Vague sets and Intuitionistic Fuzzy sets. In this chapter, an attempt is made to define the correlation coefficient of Interval Vague sets lying in the interval [0,1], and a new method for computing the correlation coefficient of interval Vague sets lying in the interval [-1,1] using a-cuts over the vague degrees through statistical confidence intervals is also presented by an example. The new method proposed in this work produces a correlation coefficient in the form of an interval. The proposed method produces a correlation coefficient in the form of an interval from a trapezoidal shaped fuzzy number derived from the vague degrees. This chapter also aims to develop a new method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve MADM problems for Interval Vague Sets (IVSs). A TOPSIS algorithm is constructed on the basis of the concepts of the relative-closeness coefficient computed from the correlation coefficient of IVSs. This novel method also identifies the positive and negative ideal solutions using the correlation coefficient of IVSs. A numerical illustration explains the proposed algorithms and comparisons are made with some existing methods.

Effects of Scaling on the Correlation Coefficient: Additional Considerations

1978 ◽  
Vol 15 (2) ◽  
pp. 304-308 ◽  
Author(s):  
Warren S. Martin
Keyword(s):  
Normal Distribution ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Bivariate Normal Distribution ◽  
Information Loss ◽  
Simulation Data ◽  
Pearson Product Moment Correlation ◽  
Bivariate Normal ◽  
Amount Of Information ◽  
Restricted Number

Distortion in the Pearson product moment correlation due to a restricted number of scale points is evaluated in two ways. First, a simulation of the bivariate normal distribution is used to estimate the effects of varying the number of scale points on the product moment correlation. This procedure demonstrates a substantial amount of information loss. Second, other correlation coefficients and some methods to correct for this loss are discussed and related to the simulation data.

scholarly journals Validity and Reliability of the Standardized Orthopedic Assessment Tool (SOAT): A Variation of the Traditional Objective Structured Clinical Examination

2014 ◽  
Vol 49 (3) ◽  
pp. 373-380 ◽  
Author(s):  
Mark R. Lafave ◽  
Larry Katz
Keyword(s):  
Correlation Coefficient ◽  
Standard Error ◽  
Clinical Competence ◽  
Concurrent Validity ◽  
Assessment Tool ◽  
Global Rating ◽  
Validity And Reliability ◽  
Pearson Product Moment Correlation ◽  
Standard Error Of Measurement ◽  
Error Of Measurement

Context: Health care professions have replaced traditional multiple choice tests or essays with structured and practical, performance-based examinations with the hope of eliminating rater bias and measuring clinical competence. Objective: To establish the validity and reliability of the Standardized Orthopedic Assessment Tool (SOAT) as a measure of clinical competence of orthopaedic injury evaluation. Design: Descriptive laboratory study. Setting: University. Patients or Other Participants: A total of 60 undergraduate students and 11 raters from 3 Canadian universities and 1 standardized patient. Intervention(s): Students were required to complete a 30-minute musculoskeletal evaluation in 1 of 2 randomly assigned mock scenarios involving the knee (second-degree medial collateral ligament sprain) or the shoulder (third-degree supraspinatus muscle strain). Main Outcome Measure(s): We measured interreliability with an intraclass correlation coefficient (ICC) (2,k) and stability of the tool with standard error of measurement and confidence intervals. Agreement was measured using Bland-Altman plots. Concurrent validity was measured using a Pearson product moment correlation coefficient whereby the raters' global rating of a student was matched to the cumulative mean grade score. Results: The ICCs were 0.75 and 0.82 for the shoulder and knee cases, respectively. Bland-Altman plots indicated no systematic bias between raters. In addition, Pearson product moment correlation analysis demonstrated a strong relationship between the overall cumulative mean grade score and the global rating score of the examinees' performances. Conclusions: This study demonstrated good interrater reliability of the SOAT with a standard error of measurement that indicated very modest stability, strong agreement between raters, and correlation indicative of concurrent validity.

scholarly journals Determination of Cysteine by Discoloration Spectrophotometry using Copper(II)-Bis-Cyclohexanone Oxalydihydrazone

2021 ◽  
Vol 245 ◽  
pp. 03023
Author(s):  
Changqing Tu ◽  
Xinrong Wen
Keyword(s):  
Linear Relationship ◽  
Correlation Coefficient ◽  
Influencing Factors ◽  
Alkaline Medium ◽  
Linear Correlation ◽  
Mass Concentration ◽  
New Method ◽  
Chromogenic Reagent ◽  
Maximum Absorption Wavelength

In the alkaline medium of pH=9.18, Cu2+ can be reduced to Cu+ by the sulfhydryl (-SH) of cysteine, and it result in the decrease the amount of Cu2+ in the system. The decrement of Cu2+ is directly proportional to the addition of cysteine, then using bis-cyclohexanone oxalyldihydrazone (BCO) as chromogenic reagent for Cu2+ to determinate the content of cysteine indirectly by discoloration spectrophotometry. A new method for the determination of cysteine by discoloration spectrophotometry using Copper(II)-BCO has been established. The influencing factors of the determination of cysteine is investigated. The results show that the maximum absorption wavelength of chromogenic system was 602 nm, in the range of 0.008000~0.06800 mg/mL, the linear relationship between the decrease of absorbance and the mass concentration of methimazol is A=0.2162+2.4824C (mg/mL), and the linear correlation coefficient is r=0.9959. The method has been applied to the determination of cysteine in food, and the results are basically consistent with those determined by pharmacopoeial method.

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