SSIM Faculty Development Programme (FDP) 2017-18 at Hyderabad

FDP CALENDAR A.Y. 2017-2018
[10 Day Certificate Programme on Research Methodology and SPSS]

S.NO. Name of the FDP Dates No.of Days Co-Ordinator’s Fee (INR) ONLINE Registration Form Venue
 01 Introductory Course on Research Methodology October 20th, 21st & 22nd 2017   03             — 3000 Click Here SSIM Campus
 02 Intermediary Course on Research Methodology,covering
Data Analysis Techniques 
November 10th, 11th & 12th 2017   03             — 3000 Click Here SSIM Campus
 03 Advanced Course on Research Methodology,covering
Multivariate Statistical Techniques for Data Analysis  
January 6th & 7th 2018   02             — 3000 Click Here SSIM Campus
 04 Research Article Writing and Publication & Ph.D Thesis Writing February 17th & 18th 2018   02            — 2000 Click Here SSIM Campus

Note:

1. Participants (Faculty Members/Research Scholars/ Ph.D aspirants / Industry members), are encouraged to register for all the four (4) FDP programmes at a time by paying a registration fee of Rs.8000 (Eight Thousand Rupees only), in the form of DD drawn in favour of SIVA SIVANI INSTITUTE OF MANAGEMENT, payable at Hyderabad.
2. Participants may register for the individual FDP Pogrammes also suitable to their requirements and area of interest. All FDP Programmes are highly need based programmes.
3. Participants are required to attend the FDP Programmes with their personal laptops.

Special Offer : SSIM Certification

Those Participants who successfully completed all the four (4) FDP programmes, will receive a 10-day Certification on Research Methodology.

FACULTY DEVELOPMENT PROGRAMME (FDP) ON INTRODUCTORY COURSE ON RESEARCH METHODOLOGY

Dates: October 20th, 21st and 22nd 2017

About the Program:

SSIM Research Methodology FDP is 3-day rigorous national level workshop catering the diverse needs of research scholars, faculty members and executives in industry, associated with the field of research and intent to learn nuances of research. The workshop modules will provide practical hands-on training to all the participants with the help of industry data sets.

Objectives:

The objective of this programme is to provide a comprehensive view of fundamental areas of research methodology with a focus on identification of research problem to the stage of sources of data collection with strong emphasis on software’s used in data analysis of research.

Participants Profile:

The programme is designed for young faculty members teaching business research methods, marketing research, basic statistics in the field of social sciences and for research scholars pursuing their doctoral degree from universities and institutions.

Coverage:

The programme will cover the following areas in a very detailed and elaborated way with a focus on practical aspects of research and their application in the respective functional areas.
1. Basics and types of Research – Quality of Doctorial Research in Management – Issues and Concerns
2. Formulating a Research Topic
3. Finance Themes and Research Methods
4. Marketing Themes and Research Methods
5. Human Resource Themes and Research Methods
6. Behavioral Finance Themes and Research Methods
7. Review of Literature and use of Mendeley software, Google Scholar, Endnote, Evernote and Referencing Style – APA
8. Identifying Research Problem
9. Formulating a Research Design and Ethics in Research
10. Selecting Samples, Sampling Fundamentals – Sampling vs Non- Sampling Errors, Probability vs Non-Probability Sampling Designs, Sample Size Determination
11. Measurement and Scaling Techniques
12. Sources of Data – Primary vs Secondary Sources of Data
13. Primary Data Sources with surveys and interviews
14. Secondary Data Sources with SSRN, Shodhgana, EBSCO Data Base, J-Gate,
15. Software’s used in research

Pedagogy:

FDP is a blend of lectures, presentations, case study and Hands on Software Demonstration.

Cancellation Policy:

If the participant cancels the registration full fee towards the programme will be refunded, provided he should intimate to the institute at least 15 days before commencement of the programme. No refund will be made after lapse of this date.

FACULTY DEVELOPMENT PROGRAMME (FDP) ON INTERMEDIARY COURSE ON RESEARCH METHODOLOGY  covering DATA ANALYSIS TECHNIQUES 

Dates: November 10th, 11th and 12th 2017

About the Program:

SSIM Research Methodology FDP is 3-day rigorous national level intermediate workshop on application of inferential statistics on data analysis intended for both quantitative data as well as for qualitative data. The FDP caters to the diverse needs of research scholars, faculty members and executives in industry, associated with the field of research and intent to learn nuances of analytical dimensions of research. The workshop modules will provide practical hands-on training to all the participants with the help of industry data sets.

Objectives:

The objective of this transitional FDP programme focused on inferential statistics applied for primary data and secondary data analysis in research. The workshop modules will provide practical hands-on training to all the participants with the help of industry data sets.

Participants Profile:

The programme is designed for faculty members teaching business research methods, marketing research, business statistics in the field of social sciences and for research scholars pursuing their doctoral degree from universities and institutions. The workshop is suitable for research scholars at the stage of data analysis.

Coverage:

The programme will cover the following areas in a very detailed and elaborated way with a focus on practical aspects of research and their application in the respective functional areas.
1. Primary Data Sources – Questionnaire design and analysis, Parsimony in Explaining Social Behaviour
2. Data Processing – Data Editing, Coding, Classification and Tabulation of Data, Missing Data
3. Variables used in research – Dependent Variable, Independent Variable, Moderating Variable and Latent Variables, Dummy Variables, Proxy Variables
4. How to Use Appropriate Statistical Tools?
5. Statistical Data Analysis and Interpretation of results using SPSS
6. Univariate and Bivariate Analysis of Data – Descriptive Statistics and Cross Tabulation, Normality Tests, Spearman’s rank order correlation coefficient, Visual Representation of Data
7. Sampling Size Determination – Data Collection – Online & Offline tools and techniques – Statistical Inferences – Tests of Hypotheses – One-tailed and two-tailed tests – Type I error and Type II error – Steps in Testing of Hypothesis – Level of Significance.
8. Parametric Tests – t-test (One Sample vs Two Samples Paired vs Unpaired), ANOVA (One Way vs Two Way), Z test, Pearson’s Coefficient of Correlation,
9. Non-Parametric tests – Man Whitney U test, Wilcoxon signed rank test, Kruskal Wallis test and Fried man test using SPSS.

Pedagogy:

FDP is a blend of lectures, presentations, case study and Hands-on Software demonstration. SPSS Package will be applied for data analysis in the workshop.

Cancellation Policy:

If the participant cancels the registration full fee towards the programme will be refunded, provided he should intimate to the institute at least 15 days before commencement of the programme. No refund will be made after lapse of this date.

FACULTY DEVELOPMENT PROGRAMME ON ADVANCED COURSE ON RESEARCH METHODOLOGY covering MULTIVARIATE STATISTICAL TECHNIQUES FOR DATA ANALYSIS

Dates:January 6th & 7th 2018

About the Program:

This research methodology FDP is 2-day rigorous national level advanced workshop on application of multivariate statistical techniques on data analysis intended for both quantitative data as well as for qualitative data. The FDP caters to the diverse needs of research scholars, faculty members and executives in industry, associated with the field of research and intent to learn nuances of analytical dimensions of research. The workshop modules will provide practical hands-on training to all the participants with the help of industry data sets.

Objectives:

The primary objective of this FDP is to equip the participants with the advanced skills in data analysis by using SPSS and E- Views software packages. The FDP will focus on multivariate statistical tools used in data analysis, from simple models to complex models. Participants under the supervision of instructor will work on models simultaneously.

Participants Profile:

The programme is designed for faculty members teaching advanced courses viz., business research methods, marketing research, business statistics in the field of social sciences and for research scholars pursuing their research, doctoral degree from universities and institutions. The workshop is suitable for research scholars and faculty members aiming to publish research papers in premium journals with indexation.

Coverage:

The programme will cover the following advanced areas in research with a focus on in-depth aspects of research and their application in the respective functional areas.
1. Correlation Analysis and Regression Analysis, Canonical Correlation
2. Multiple Regression Analysis – Stepwise Regression
3. Assumptions of the Classical Linear Regression Model (CLRM)
4. Heteroscedasticity – Multicollinearity – Autocorrelation
5. Regression with Dummy Variables – Logit Model – Probit Model
6. Regression Analysis with Panel Data
7. Multivariate Statistics – MANOVA – ANCOVA – Discriminant Analysis – Exploratory Factor Analysis (EFA)
8. Cluster Analysis – Conjoint Analysis – Multidimensional Scaling (MDS)
9. Structural Equations Modeling (SEM) – Terminologies – Diagrams – Statistical Tests
10. Report Writing and Presentation of Results

Pedagogy:

FDP is a blend of lectures, presentations, case study and Hands-on Software demonstration. SPSS Package will be applied for advanced data analysis in the workshop.

Cancellation Policy:

If the participant cancels the registration full fee towards the programme will be refunded, provided he should intimate to the institute at least 15 days before commencement of the programme. No refund will be made after lapse of this date.

FACULTY DEVELOPMENT PROGRAMME (FDP) ON RESEARCH ARTICLE WRITING AND PUBLICATION AND PH.D THESIS WRITING

Dates: February 17th & 18th 2018

About the Program:

The aim of this FDP is envisioned to clear all the vital stages in writing and publication of research articles in peer-reviewed and indexed journals. The FDP caters to the diverse needs of research scholars, faculty members and executives in industry, associated with the field of research. The workshop modules will provide practical hands-on training to all the participants.

Objectives:

The Objective of this FDP is make the participants understand the nuances and intricacies of publication of research articles and PhD thesis writing with an emphasis on complexities involved in publication of research articles in peer-reviewed and indexed journals (National and International).

Participants Profile:

The programme is designed for faculty members, research scholars, Ph.D. students pursuing their doctoral degree from universities and institutions and aspiring Ph.D. members.

Coverage:

The programme will cover the following areas in academic writing and publication of research with a focus on in-depth aspects of publication skills.
1. What does Quality mean in Academic Publications?
2. Trends in Academic Publications (Print / e copy / Print +e copy)
3. Why to Publish and What to Publish?
4. Selection of Journal / Readers / Audiences (Science Direct / Scopus / WoS / Pub Med / EBSCO etc.,) – Readership / Type of Articles / Current Areas of Research / Guide to Authors
5. Bibliometric Indicators (Impact Factor / Listing of Journal in Data Bases / H-index / i10 -index / Citations / Elsevier Indicators – SJR / SNIP / Reviews
6. Article Structure and Contents
7. Footnotes and End notes, Equations, Formulas, Sources of Data, References and Appendix
8. Plagiarism check – online tools and techniques
9. Understanding submission process of article and Article Review Process
10. Authorship: When more than one author involved in the publication? – First Author / Corresponding Author
11. Response to Review comments – Scope and Coverage, Process Writing, Highlighting and incorporating the review comments in the article / Major Review / Minor Review / Rejected
12. Promoting your research through social media (facebook /twitter / linkdin/ blogs) and other platforms like Google Scholar, Research Gate / Open Access Publication etc.,
13. Why you to want to publish your research work?
14. Covering Letter to the Journal Team
15. Publication Ethics

Pedagogy:

FDP is a blend of lectures, presentations and case study.

Cancellation Policy:

If the participant cancels the registration full fee towards the programme will be refunded, provided he should intimate to the institute at least 15 days before commencement of the programme. No refund will be made after lapse of this date.

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