Varghese, Eldho and Gills, Reshma and Anuja, A. R. and Jayasankar, J. (2023) Advanced analytical tools for social science research: Course manual- 1. CMFRI Training Manual Series No.29/2023, 1 . Central Marine Fisheries Research Institute (CMFRI), Kochi.
Full text not available from this repository. (Request a copy)Abstract
Applying appropriate analytical techniques form the backbone of any research endeavor in agriculture, fisheries, and allied sciences. Without proper knowledge of applying statistical/econometric tools, software, and derivation of inferences from the same, it would not be possible to gather relevant interpretations of the investigation. Hence, the importance of well-designed data collection protocol, analysis, and interpretation cannot be underestimated. Such inferences form the basis of sound policy planning and resource management. Technology advancements and the development of analytical software have made the data analysis process less laborious. A basic understanding of the application of advanced analytical tools and their interpretation increases the productivity and efficiency of social science researchers engaged in agriculture/animal/fisheries science research. Hence the Winter School on Advanced Analytical Tools for Social Science Research is designed to enhance the analytical skills of social science researchers from NARES by allowing them to familiarize with advanced analytical procedures and their practical applications. This Winter School is a step towards familiarizing recent analytical techniques in social science to derive quality research outputs. The course is designed to acquaint the participants with areas such as exploratory data analysis, sampling techniques, data classificatory techniques, non–parametric methods, econometric analysis, and time series modeling, etc. Lectures on GIS/Spatial modeling, scaling techniques, data mining and big data analytics, machine learning techniques, and ecosystem evaluation have also been touched upon. The course is more practical-oriented, with a greater emphasis on interpreting the results. It employs a combination of lectures and exercises using statistical software.
Item Type: | Documents |
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Keywords: | Statistics, Analysis, Research software, Geographic Information System (GIS), Sampling, Data, MS Excel, R and R Studio, IBM SPSS Statistics, SAS (Statistical Analysis Software(SAS), QGIS, Data Analysis, Manual |
Subjects: | Right to Resources |
Depositing User: | Vivek D ICSF |
Date Deposited: | 06 May 2024 09:47 |
Last Modified: | 06 May 2024 09:47 |
URI: | http://icsfarchives.net/id/eprint/19872 |
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