Registration fee covers workshop charges, course
material, refreshments and certificate
PAYMENT
DETAILS
You can
make your payment through DD/cheque/NEFT.
Kindly
prepare a crossed cheque/demand draft payable at Mumbai
favouring "Monk Prayogshala". Alternatively, kindly deposit
the amount to the below mentioned bank account:
Payee:
Monk Prayogshala
A/C No.:
50200005107861
Bank
Name: HDFC Bank Ltd.
Bank
Branch: Powai, Mumbai Branch
IFSC
Code: HDFC0000239
ELIGIBILITY
·Undergraduate
Students
·Postgraduate
students
·MPhil
students
·PhD
students
·Professionals
·Faculty
pursuing Research or practice OR
·Any
person with basic understanding and interest in research and statistics.
ABOUT THE
WORKSHOP
About Monk® Prayogshala®
(Sec 25)
We are a
not-for-profit academic research institution, registered under the
Companies Act, 1956. We undertake projects covering the entire research life
cycle from proposals to experimentation through to publishing and feedback
integration. We follow rigorous processes in the development of our research
proposals, while ensuring that we adhere to ethical considerations prescribed
by international organisations. We respect the confidentiality of our
participants, their activities and expect all research personnel to adhere to
the same. We are an equal opportunity employer.
What are Literature
Reviews and Reference Management?
A literature review is a
compilation of past research and theory that forms the basis of your research
study. A good literature review enables you to have an in-depth understanding
of your topic and ensures that the audience also understands your topic well.
Apart from being an integral component to the structure of an academic research
paper, the literature review could also be an important source from where the
researcher chooses an appropriate research question, rationale, hypothesis,
research methodology, and so on. Moreover, past literature is used to explain
existing findings. Reference management software are often used for citations
and bibliographies and are an indispensable tool for the modern
researcher.
Why Do You Need it?
· A well-written
literature review is an important aspect of undergraduate, postgraduate, and
professional projects, reports, and academic research papers.
· Knowing the
efficient techniques for database navigation and literature review can save
time and provide better output.
· Different journals
in the social sciences require different types of citation styles to be
followed, making it important to know about the various styles.
· Reference
management software reduces time and error as compared to manual citations and
bibliographies.
How do we teach Literature
Review and Reference Management Software?
The workshop provides
intensive training in database navigation, literature compilation, and
literature review writing. The workshop provides a hands-on experience in using
reference management software. Participants will learn the workshop content
with practical experience, enabling them to apply the workshop content to
everyday life. This is a 6-hour intensive course.
Resource Person: Rupa
Kalahasthi, Research Assistant, Monk® Prayogshala®
With experience in diverse
clinical settings, Rupa is a practising psychologist since 2014. Her passion
for research is reflected in her stint as a data analyst at a UK-based firm.
She also holds the position of a Research Assistant at Monk® Prayogshala® where
she contributes to writing research papers and conducting
workshops.
Venue and Dates
The workshop will be held
for two days at 4116, 4th Floor, Oberoi Garden Estates, C Wing, Off
Saki Vihar Road, near Chandivali Studios, Powai, Mumbai – 400072.
Nearest stations: Kanjurmarg
(Central); Andheri (Western) Saki Naka (Metro Station)
Bus routes: 319, 335
Date: 22nd March (Sunday,
10 am to 4 pm), 2015.
WORKSHOP
SCHEDULE
10 am - 4 pm
Importance of Literature Review
30 min
Types of
Research Articles
Database
Navigation:
Credibility
of Sources
Keyword
Search
Identifying
Relevant Literature
Compiling
a Literature Review
Break
Importance
of Accurate Citations
Types of
Citation Styles and Manuals
Research
Management Software: Mendeley, Zotero
Organizing
Documents
Research Management Software for
Collaborations
Using
the MS-Word Plug In
Discovering
New Research
15 min
20 min
30 min
40 min
30 min
30 min
30 min
1 hour
15 min
20 min
15 min
Q & A and Feedback
15 min
TESTIMONIALS
Testimonials from the
Research Methodology and Statistical Reasoning workshop conducted by Rupa
Kalahasthi at Monk® Prayogshala®, Mumbai (November, 2014)
"I have learned lots of (sic.) stats (sic.) which
will be useful further. It was also very simplified, so hope to make things
easier in future researches (sic.) with these (sic.) knowledge.”
Foram Mehta, Student
“A lot of valuable information definitely because a lot of
it is not covered up in academics. All questions were answered very well
clearing up all possible doubts.”
Meeti
Doshi, Student
Testimonial from the Research Methodology
and Statistical Reasoning workshop conducted by Rupa Kalahasthi at
Monk® Prayogshala®, Mumbai (September, 2014)
"What
I liked about the workshop was that it was very well organized, rigorously
prepared, the resource person(s) were very very (sic.) thorough with their
knowledge, I liked the breadth of coverage, I really benefitted from the course
thanks to Rupa and her team!"
Bakul Dua,
Student
Testimonials from the Research Methodology and Statistical
Reasoning workshop conducted by Hansika Kapoor at Monk® Prayogshala®,
Mumbai (July 2014)
“Very
good explanation of the rationale behind using a particular statistic, notes are
beautifully compiled…”
Jhilik Dutta, Graduate Student (Psychology)
“Three
things I liked most were the friendly approach to stats (sic), covering all
topics that were necessary and the systematic way with which I can consider
which statistic test I should do (sic).”
Snehal Subramanian, Psychologist
HOW TO
REGISTER
1. Click the link below or email at nd@monkprayogshala.in or
call +919167790426. Limited seats available.
2. Make your
payment through DD/cheque/ NEFT.
Students
(up to Post Graduation): Rs. 1,500/- (all inclusive)
Registration fee covers course charges, course
material, and certificate.
To register or learn
more about the course, click below:
PAYMENT
DETAILS
You can
make your payment through DD/cheque/NEFTKindly prepare a crossed
cheque/demand draft payable at Mumbai favouring "Monk
Prayogshala".
Alternatively,
kindly deposit the amount to the below mentioned bank account:
Payee:
Monk Prayogshala
A/C No.:
50200005107861
Bank
Name: HDFC Bank Ltd.
Bank
Branch: Powai, MumbaiBranch
IFSC
Code: HDFC0000239
ELIGIBILITY
·Undergraduate Students
·Postgraduate students
·MPhil students
·PhD students
·Professionals
·Faculty pursuing Research or
practice OR
·Any person
with basic understanding and interest in research and statistics.
ABOUT THE DIGITAL COURSE
About Monk® Prayogshala®
(Sec 25)
We are a
not-for-profit academic research institution, registered under the
Companies Act, 1956. We undertake projects covering the entire research life
cycle from proposals to experimentation through to publishing and feedback
integration. We follow rigorous processes in the development of our research
proposals, while ensuring that we adhere to ethical considerations prescribed
by international organisations. We respect the confidentiality of our
participants, their activities and expect all research personnel to adhere to
the same. We are an equal opportunity employer.
What is
Research Methodology and Statistical Reasoning?
Statistics are widely used
in social sciences, business, and daily life. Given the pervasive use of
statistics, this workshop aims to train participants in the rationale
underlying the use of statistics. This workshop aims to explain when to apply
which statistical procedure, the concepts that govern these procedures, common
errors when using statistics, and how to get the best analysis out of your
data. Research methodology is used a base to explain statistical reasoning. The
workshop also familiarises you with commonly used software for statistical
analysis.
Course Summary
The course will take 11
hours to complete, including one contact hour with the course instructor after
completing the lectures and quizzes. It includes materials such as
comprehensive notes and awards a certificate after course completion. The
course is divided into 11 major sections, which include 60 lectures and 21
quizzes. The course not only includes course content, but instructors that are
approachable after completing it, who will provide feedback and address your
specific needs. You would have access to the complete course for 7 days after
activation, and would need to submit your assignment within the 7 day period.
Upon successful completion, you would be provided with an hour of personalized
access to one of our qualified research instructors, to resolve your
queries.
Why Do You Need it?
· Applied statistics are an
important part the curriculum at the Undergraduate, Postgraduate, MPhil and PhD
levels.
· Students at all levels
require knowledge of research methods and statistics. This course will help
make statistics a more approachable subject.
· As a student and
professional, statistics enables you to evaluate, infer, and understand your
product, situation, service, or a treatment option.
· Learning about the
errors in statistics will make it easier to interpret statistical literature,
research articles, and the claims made on the basis of statistics.
· The intensive nature of
the course ensures that your specific doubts and questions are addressed making
it a personalized experience.
What are the Benefits of
doing a Digital Course on Research Methodology and Statistical Reasoning?
· The course uses practical problems and examples from
social sciences and daily life to explain the content.
· The intensive course includes 10 instruction hours
with 11 sections, 60 lectures, and 21 quizzes.
· You have
unlimited access to the course for a period of 7 days, allowing you to pace
your own learning.
· Do you want to save time spent in travelling? The
digital course gives you the opportunity to learn anytime and anywhere. You can
take the course on your desktop, laptop, tablet, and mobile phone.
· If you know
a topic well, you can choose to skip the lecture. If you are not completely
sure of a topic, you can choose to view the lecture again. Therefore, learning
is personalized and oriented towards your needs rather than that of the group.
· Quiz sections on each topic ensure you have a
conceptual understanding of the course content.
· We do not part ways once you complete the digital
lectures. You will be given the opportunity to complete an assignment, which
will enable you to apply the workshop content to actual research
problems.
· We also provide you with notes, which can be used as
reference during the course.
· We do not believe in one-way learning. You can
interact with the course instructor for 1 hour within a period of 7 days (after
completing the course) to resolve any queries and discuss your assignment,
based on prior appointment.
· You will also receive a physical copy of the certificate
after completing all quizzes and the assignment.
COURSE
CURRICULUM
Section
I: Importance of Statistics and Understanding Basic Concepts
·
Lecture 1: Introduction to Research
·
Lecture 2: Population and Sample
·
Lecture 3: Research Problem and Hypothesis
·
Lecture 4: Variables
Section
II: Research Methods and Design
·
Lecture 5: The Experimental Method
·
Lecture 6: Between Subjects or Independent Groups Design
·
Lecture 7: Repeated Measures or Within Subjects Design
·
Lecture 8: Complex or Factorial Design
·
Lecture 9: Non-Experimental and Quasi Experimental Group Design
·
Lecture 10: Natural Groups Design
·
Lecture 11: Observational Methods: Types
·
Lecture 12: Data Analyses of Observational and Descriptive Data
·
Lecture 13: Case Study
·
Lecture 14: Survey Research
·
Lecture 15: Choosing the Right Research Method
Section
III: Normal Curve and its Importance in Choosing a Statistic
·
Lecture 16: Normal Curve and its Properties
·
Lecture 17: Skewness, Kurtosis, and Tests of Normality
Section
IV: Steven’s Levels of Measurement
·
Lecture 18: Nominal Scale
·
Lecture 19: Ordinal Scale
·
Lecture 20: Interval Scale
·
Lecture 21: Ratio Scale
Section
V: Descriptive Statistics
·
Lecture 22: Descriptive Statistics: An Overview
·
Lecture 23: Measures of Central Tendency: Mean
·
Lecture 24: Measures of Central Tendency: Median, Mode
·
Lecture 25: Measures of Variability or Dispersion: Range
·
Lecture 26: Measures of Variability or Dispersion: Quartiles
·
Lecture 27: Measures of Variability or Dispersion: Variance
·
Lecture 28: Measures of Variability or Dispersion: Standard Deviation
Section
VI: Parametric and Non-Parametric Tests
·
Lecture 29: Parametric Tests: Description and Assumptions
·
Lecture 30: Non-Parametric Tests: Description and Assumptions
Section
VII: Inferential Statistics and Parametric Tests
·
Lecture 31: Inferential statistics: An Overview
·
Lecture 32: Null Hypothesis Testing
·
Lecture 33: Statistical Significance Testing
·
Lecture 34: One-tailed and Two-tailed Test
·
Lecture 35: t-Tests
·
Lecture 36: Analysis of Variance (ANOVA): Part 1
·
Lecture 37: Analysis of Variance (ANOVA): Part 2
·
Lecture 38: Regression: Simple and Multiple
·
Lecture 39: Correlation: An Overview
·
Lecture 40: Spearman’s Rank Order Correlation
·
Lecture 41: Pearson’s Product Moment Correlation
·
Lecture 42: Outliers
·
Lecture 43: Dealing with Outliers and Biases in Correlation
·
Lecture 44: Important Concepts in Inferential Statistics: Degrees of
Freedom
·
Lecture 45: Important Concepts in Inferential Statistics: Confidence
Intervals
Section
VIII: Non-Parametric Tests
·
Lecture 46: Chi-Square Test
·
Lecture 47: Sign Test
·
Lecture 48: Wilcoxon’s Sign Rank Test
·
Lecture 49: Median Test
·
Lecture 50: Mann-Whitney U Test
·
Lecture 51: Kruskal Wallis Test and Friedman’s two-way ANOVA
Section
IX: Interpreting a Statistic
·
Lecture 52: Factors related to interpreting a Statistic
·
Lecture 53: Errors made during interpretation
·
Lecture 54: Effect Size and Practical Significance
Section
X: Common Errors and Biases when using Statistics
·
Lecture 55: Sources of Bias
·
Lecture 56: Errors in Methodology
Section
XI: Software for Statistical Computations
·
Lecture 57: Statistical Package for Social Sciences: SPSS
·
Lecture 58: R
·
Lecture 59: PSPP
·
Lecture 60: Course Notes
TESTIMONIALS
Testimonials
from the Research Methodology and Statistical Reasoning workshop conducted
by Rupa Kalahasthi at Monk® Prayogshala®, Mumbai (November,
2014)
"I have learned lots of
(sic.) stats (sic.) which will be useful further. It was also very simplified,
so hope to make things easier in future researches (sic.) with these (sic.)
knowledge.”
Foram
Mehta, Student
“A lot of valuable information
definitely because a lot of it is not covered up in academics. All questions
were answered very well clearing up all possible doubts.”
Meeti Doshi, Student
Testimonial
from the Research Methodology and Statistical Reasoning workshop conducted
by Rupa Kalahasthi at Monk® Prayogshala®, Mumbai (September,
2014)
"What I liked about the
workshop was that it was very well organized, rigorously prepared, the resource
person(s) were very very (sic.) thorough with their knowledge, I liked the
breadth of coverage, I really benefitted from the course thanks to Rupa and her
team!"
Bakul Dua, Student
Testimonials
from the Research Methodology and Statistical Reasoning workshop conducted by
Hansika Kapoor at Monk® Prayogshala®, Mumbai (July 2014)
“Very good explanation of the
rationale behind using a particular statistic, notes are beautifully
compiled…”
Jhilik
Dutta, Graduate Student (Psychology)
“Three things I liked most were
the friendly approach to stats (sic), covering all topics that were necessary
and the systematic way with which I can consider which statistic test I should
do
(sic).”
Snehal
Subramanian, Psychologist
HOW TO
REGISTER
1. Click the link below or email at nd@monkprayogshala.in or call +919167790426. Limited
seats available.
2. Make your
payment through DD/cheque/ NEFT.
Students (up to
Post Graduation) Rs. 2,000/- (all inclusive)
Registration fee covers
course charges, course material, and certificate.
Kindly prepare a crossed
cheque/demand draft payable at Mumbai favouring "Monk
Prayogshala".Alternatively, kindly deposit the amount to the below
mentioned bank account:
Payee: Monk
Prayogshala
A/C No.:
50200005107861
Bank Name: HDFC Bank
Ltd.
Bank Branch: Powai,
Mumbai
Branch IFSC Code:
HDFC0000239
3. Receive your
registration confirmation
4. Receive the access
code and link for the digital course :)
5. View all 60 lectures
and read the course notes thoroughly.
6. Complete the
assignment (and quizzes).
7. Engage with our
instructor for 1 hour; clarify your doubts, and get feedback on your
assignment.
