Thattil Raphel (8 results)
Constructing a Composite Vegetable Price Index using Modified Factor Analysis
Thattil, Raphel O; Abeynayake, Rupika; Siriwardhana, S M C P
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Constructing a Composite Vegetable Price Index using Modified Factor Analysis
Thattil, Raphel O; Abeynayake, Rupika; Siriwardhana, S M C P
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bachelor Thesis from the year 2013 in the subject Pedagogy - Higher Education, University of Peradeniya, language: English, abstract: This study was conducted to determine the factors relating to the academic performance of students following the C…rop Science module in the Faculty of Agriculture of the University of Peradeniya, Sri Lanka.Factors relating to academic performance might be different in Universities as well as in different departments of a given Faculty. This study aims to investigate the factors relating to performance of students who followed the Crop Science modules in the Faculty of Agriculture, University of Peradeniya from 2002 to 2012. Secondary data were collected from the Senate Office of the University and the Administrative office of the faculty. For data analysis, Box plot, Two sample t-test, Spearman correlation coefficient, Pearson's correlation coefficient, General Linear Model (GLM) of SAS, Simple Linear Regression, Principle component Analysis and Cluster Analysis were used. The performance of students in the Crop Science modules was also compared with other department. Using Cluster Analysis, the subjects of the two Crop Science modules were classified.According to the results, the different performances were found in different departments and performance of students in the Crop Science department was at an average level. The performance of students of the Crop Science department was lower than other departments. However, this was mainly due to large number of students in the Crop Science modules. Due to this the average performance gets pulled down. When only the top 15 students were considered the performance of students in the Crop Science modules was very high. A significant difference was found between the two Crop Science modules in terms of GPA and the better performance was observed in Advanced Crop Production Technology Students.
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Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Master's Thesis from the year 2018 in the subject Biology - Miscellaneous, , language: English, abstract: This study introduces a modified factor analysis approach to develop a composite vegetable price index. The new method uses scaling by… dividing the original variables with its mean, a specific weight for each individual indicator variable and the index assigns a specific numerical value to prices of vegetables for a given month. Initially monthly wholesale prices of nineteen vegetables were considered. As some vegetable prices were highly correlated, ten representative variables for highly correlated variables were retained based on variable-cluster analysis and correlation analysis. Green Beans, Leeks, Cabbage, Tomatoes, Brinjals, Pumpkin, Cucumber, Luffa, Ash Plantains and Green Chili were the indicator variables considered in the index building process.Initially, the grouping pattern in the data was identified through a Preliminary Factor Analysis. This resulted in a single factor explaining a substantial amount of the total variance. The original variables were divided by their means to scale the variables. The weight corresponding to a particular indicator variable was defined by squaring the Eigen vector coefficient of the given variable of the first Principle Component. Then the scaled variables were weighted and used in the final Factor Analysis. A single factor explaining 69.8% of total variance was selected as the composite index. First, the Vegetable Price Index was defined as a linear function of the composite index. Then it was converted into a function of original indicator variables by summarizing constant terms to make it easy to update. Cronbach's alpha was used to verify the internal consistency of the indicator variables. Scaling in mean and weighting improved internal consistency of the variables.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bachelor Thesis from the year 2013 in the subject Pedagogy - Higher Education, University of Peradeniya, language: English, abstract: This study was conducted to determine the factors relating to the academic performance of students… following the Crop Science module in the Faculty of Agriculture of the University of Peradeniya, Sri Lanka.Factors relating to academic performance might be different in Universities as well as in different departments of a given Faculty. This study aims to investigate the factors relating to performance of students who followed the Crop Science modules in the Faculty of Agriculture, University of Peradeniya from 2002 to 2012. Secondary data were collected from the Senate Office of the University and the Administrative office of the faculty. For data analysis, Box plot, Two sample t-test, Spearman correlation coefficient, Pearson's correlation coefficient, General Linear Model (GLM) of SAS, Simple Linear Regression, Principle component Analysis and Cluster Analysis were used. The performance of students in the Crop Science modules was also compared with other department. Using Cluster Analysis, the subjects of the two Crop Science modules were classified.According to the results, the different performances were found in different departments and performance of students in the Crop Science department was at an average level. The performance of students of the Crop Science department was lower than other departments. However, this was mainly due to large number of students in the Crop Science modules. Due to this the average performance gets pulled down. When only the top 15 students were considered the performance of students in the Crop Science modules was very high. A significant difference was found between the two Crop Science modules in terms of GPA and the better performance was observed in Advanced Crop Production Technology Students. 36 pp. Englisch.
Constructing a Composite Vegetable Price Index using Modified Factor Analysis
Thattil, Raphel O; Abeynayake, Rupika; Siriwardhana, S M C P
- Softcover
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Constructing a Composite Vegetable Price Index using Modified Factor Analysis
Thattil, Raphel O; Abeynayake, Rupika; Siriwardhana, S M C P
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bachelor Thesis from the year 2013 in the subject Pedagogy - Higher Education, University of Peradeniya, language: English, abstract: This study was conducted to determine the factors relating to the academic performance of students fol…lowing the Crop Science module in the Faculty of Agriculture of the University of Peradeniya, Sri Lanka.Factors relating to academic performance might be different in Universities as well as in different departments of a given Faculty. This study aims to investigate the factors relating to performance of students who followed the Crop Science modules in the Faculty of Agriculture, University of Peradeniya from 2002 to 2012. Secondary data were collected from the Senate Office of the University and the Administrative office of the faculty. For data analysis, Box plot, Two sample t-test, Spearman correlation coefficient, Pearson's correlation coefficient, General Linear Model (GLM) of SAS, Simple Linear Regression, Principle component Analysis and Cluster Analysis were used. The performance of students in the Crop Science modules was also compared with other department. Using Cluster Analysis, the subjects of the two Crop Science modules were classified.According to the results, the different performances were found in different departments and performance of students in the Crop Science department was at an average level. The performance of students of the Crop Science department was lower than other departments. However, this was mainly due to large number of students in the Crop Science modules. Due to this the average performance gets pulled down. When only the top 15 students were considered the performance of students in the Crop Science modules was very high. A significant difference was found between the two Crop Science modules in terms of GPA and the better performance was observed in Advanced Crop Production Technology Students.GRIN Publishing GmbH, Waltherstraße 23, 80337 München 36 pp. Englisch.
