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RESEARCH METHODOLOGY & DATA ANALYSIS (PROGRAM CODE: RES-10-02)
Development, management, and maintaining high reliability of data has become very important these days. One needs a thorough knowledge of computing, statistical applications, and relevant software to become an expert in database management which is highly crucial for successful decision-making.

Similarly, the project managers, researchers and university professors are frequently brought to pressure while producing results with accuracy, validity and reliability. As a result, they have become too dependent on so called ‘technical experts’ who may not always understand what the managers or researchers intend to produce.

There has been rapid shift in research paradigm in the recent days, hopefully mainly due to the availability of microcomputer and software packages, and changes in the concept and measurement of productivity, development, and efficiency. Research has become more and more multidisciplinary and complex in nature as it swiftly incorporates every development in the society.
Accordingly, the research scholars and other professionals striving for enhancing their information inventory to improve professional decision-making. Also the academicians, researchers and other professionals have a big responsibility to transform evidence-based systems approach in all the places.
No matter, whatever the level of education and professional career be, each one of us, at some point of professional life, needs to replace intuition with evidence so as to improve our academic as well as management efficiency. In this respect, we must be concerned on effective and efficient treatment of data for right information processing, its connectivity on deducting right conclusions for decision and learning support system, and every piece of information needs be placed in systematic order.
Thus, processing data into information with precision, accuracy and relevance to support decision-making and to promote systematic learning is highly crucial today. This training module finely addresses your practical learning needs as the entire training program has been guided to make it more practical event by means of skill enhancement, learning through computer-based applications, and research-based data processing, management, application and interpretation.

Edify International has come up with a long-term impacting solution to this situation. Our Fifty-Hour training on Statistical Application and Data Analysis Using SPSS thoroughly prepares the participants with depth understanding of the concepts and methods of statistical application, data management and application of SPSS in doing this job.

 
Expected Participants

    • Masters, MPhil, PhD Postdoctoral thesis/dissertation research fellows
    • Professional researchers
    • Project managers (private/social sector)
    • National planning and development officers, economists, development activists, scientists, marketers, media and campaign managers, and public health and medical professionals
    • Bankers (more important; but has been less realized), financial institution managers financial controllers/analysts, public service and national security officers

 

Training Contents

SNo Contents
1 Learning fundamental concepts of research, its categories, applications, managerial implications and issues
2 Establishing and empowering the missing link – performing situational and gap analysis and establishing a subject for research
3
Linking the research with literature
4 Crafting a research process, design and methods
5 Identifying population of the study, selecting the units of analysis and taking sampling decision
6 Performing instrumentation and conducting tests for validity and reliability of the study tools
7 Understanding of basic elements of applied research and use of SPSS in it
8 Basic concepts and rules of data and variable management
9 Preparation and cleaning of data files using SPSS - data editing, coding, entry, cleaning, generating new variables, computing and recoding
10 Understanding of descriptive statistics and its application
11 Practice on generating information through lab work -- deriving one or two-way frequency and percentage tables, their graphical presentation and interpretation; collapsing a continuous variable values into groups; deriving summary measures and interpretations; comparing group means and other measures using both MEANS and SPLIT FILE facilities – with extensive use of SPSS
12 Learning inferential statistics with focus on hypothesis testing
13 Practical learning of decision-making: performing two sample t-test, ANOVA test with post hoc test, Chi-square test, Normality test, Mann Whitney U Test, Kruskal Walli’s test, etc. using SPSS
14 Learning simple correlation and regression analyses
15 Experiencing the practical world of measuring and understanding relationship between variables -- preparing correlation matrix; estimating cross-sectional and time series models; descriptive measures and testing of model fit; significance test of individual model parameter and correlation; detecting problem of heterosdasticity and autocorrelation
16 Learning Likert scaling techniques and analyses of scale data
17 Sensing the practical way of performing the measurement and analyses of abstract nature of variables -- interpreting and improving reliability of scale through Cronbach’s alpha; analyzing and presenting descriptive results of Likert items and scale; inferential analysis of Likert scale and presentation of results
18 Presentation of information in a well-documented research report
19 Research citation and referencing
20 Performing research follow up

Program Duration: 50 Hours; Program Cost: Rs. 16,500.00 per person- student discount 10% on total cost, laptop users Rs. 15,500 per person; Nature of work: 70% practical and computer-based; Proficiency required: Good command in computing and formal research language in English medium; Program participation registration: Going on and requires full payment of the fee in advance; Certification: Collaborative – by Kathmandu University School of Education and Edify International.
 
 
 
 
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