Learn SPSS and be the part of Knowledge Society

Research is a rewarding career. It is a life long journey for a person who wants to learn and contribute his learning in knowledge society. Generally, each professional or academic research requires analysis and proper interpretation. Furthermore, facilitating SPSS package requires three basic skills: a) conceptual skill in research designing, b) skill of using analytical tools, and c) skill of modern computer applications.

A professional team of a non-profit distribution organization Social Science Research Foundation (SOSREF) offers a series of SPSS packages that ranges from basic to multivariate level.

Our facilitator team consists:

·         Prof. Dr. Devendra Chhetry, Head of Department of Statistics, T.U., who is an expert in analytical theories and is leading facilitator of SPSS at M.Phil. Program of Management courses at TU;

·         Dr. Thaneswor Gautam, lecturer at Nepal Commerce Campus, active researcher cum celebrated facilitator, and coordinator of SPSS and other many packages; and

·         Mr. Madhu S. R. Hada who is an expert in computer analysis and data management head of computer lab at M.Phil of Management T.U.

Interested participants are requested to attend SOSREF packages, which envision developing you as the brand ambassador. You will learn skills and develop professional network in research, being freely associated in Knowledge Workers’ Network www.kwn.edu.np promoted by SOSREF.

Basic Course for SPSS 13.0

1. Brief Introduction of SPSS Application.
2. Installation of SPSS 13.0
3. Creation of SPSS Data File.                               
1. Data View & Variable View
2. Types of Variables [Defining Values]
3. Types of Data
4. Types of Scale
4. Brief Introduction of SPSS Menu:                                 
1. File [Import Data from XL File, Exporting]
2. Data [Data Selection, Joining & Splitting Data File]
3. Transform [Data Manipulation, Using Formula]
4. Analyze [Analysis of Data File]
5. Different File Types of SPSS. [Data, Output, Syntax]
6. Tips & Tricks.
5. Familiarizing with analytical tools in SPSS     
1. Descriptive design
2. Differential design
3. Relational design
4. Multivariate design