 |
|
|
|
 |
|
|
|
| |
|
|
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.
|
|