The one-week faculty development programme (FDP) on Research Methodology and Data Analysis: Using : SPSS, Smart PLS, R Programming, NVivo was conducted by Amity Business School, Amity University Madhya Pradesh from 26th of July, 2022 to 02nd of August 2022.
Research is a form of systematic enquiry to developed deeper into the subject and produce socially relevant results in different forms like a product, research paper, patent or thesis. There are varied forms of research each characterized by different methodologies. At every step involved in heading towards a problem solution, a set of tasks are outlined. Every such task which may be collection of data, searching literature review, deriving a mathematical or computational solution or presentation of the results, requires support from several tools and technologies. These tools are not only assistive but also helpful in improving the quality of the research outcome.
This FDP was specifically designed for the faculties and research scholars to provide them insights about research methodology and data analysis using various statistical tools. Total 98 faculty members, research scholars, industry professionals and students across India registered for the workshop. The objective of this workshop was to provide a comprehensive understanding of statistical concepts relevant to scientific research using appropriate language. The aim of the FDP was to give hands-on experience in applying SPSS, Smart PLS, R Programming and NVivo software to solve research problems. Participants has been trained on statistical tools and techniques with emphasis on research applications. The FDP was conducted under the guidance of Lt. Gen. V. K. Sharma (AVSM, Retd.), (Hon’ble Vice Chancellor, Amity University Madhya Pradesh); Prof. Dr. M.P. Kaushik (Pro. VC, Amity University Madhya Pradesh) and Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh) and organizing committee of this FDP. Dr. Deepali Soni, Dr. Sandeep Raghuwanshi, Dr. Abhilasha Dixit, Dr. Dinesh Gupta, Dr. Anil Singh Parihar and Dr. Arif Hasan were the conveners & resource person for the FDP associated with Amity Business School, Amity University (M.P.).
Inaugural
The FDP started on 26th July 2022 at 100 hours; the inaugural session was chaired by the Hon’ble VC, Amity University Madhya Pradesh and Prof. Dr. M.P. Kaushik, Pro. VC, Amity University Madhya Pradesh. The Hon’ble Vice Chancellor Sir inaugurated the FDP and gave best wishes for the upcoming sessions of the FDP and congratulated the organisers. The opening remarks of the FDP were given by Prof. (Dr.) Anil Vashisht, Dy. Pro VC, Amity University Madhya Pradesh.
Prof. (Dr.) Marko Sarstedt the professor of marketing at the Ludwig Maximilians-University (LMU) Munich (Germany), Highly cited researcher at Clarivate Analytics with more than 100,000 citations according to Google Scholar was the keynote speaker of the FDP. The Prof. (Dr.) Marko Sarstedt presented the journey of developing Smart PLS software. He has elaborated the features and implications of Smart-PLS for Structural Equation Modelling to analyse complex model. He has also emphasized the application of the software for making business decision. Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh) informed that the purpose of this workshop is to inculcate research skills in participants and to enable them to analysis complex data for research purpose by using different software’s.
Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh) felicitated the keynote speaker. Prof. Dr. M.P. Kaushik the Pro. VC, AUMP (M.P.) also gave his best wishes to all the participants and organisers.
DAY 1
Session 1
Topic: Introduction to FDP, Identification of Problem, Framing Research
Content: Importance of research methodology and dos and don’ts about research problem identification and forming the research frame-work.
Faculty: Dr. Shaifali Garg
Session 2
Topic: Framing the research objectives and research design.
Content: How to frame the research objectives, framing the hypothesis and deciding about the tests to be applied according to objectives.
Faculty: Dr. Arif Hasan
DAY 2
Session 1
Topic: Basics of Statistical Tools and Techniques, Introduction to various research Software
Content: Parametric and Non-Parametric tests, Sampling, Types of Variables and Scales
Faculty: Dr. Dinesh Gupta
Session 2
Topic: Basics of Smart PLS 4
Content: Why and how to use the Smart PLS and Structural Equation Modelling, Moderation, Mediation of the data and Bootstrapping
Faculty: Dr. Abhilasha Dixit
DAY 3
Session 1
Topic: Data Analysis using Smart PLS (Advanced)
Content: Multi-Group Analysis, Higher-Order Constructs, Reflective and Formative analysis, PLS Predict
Faculty: Dr. Deepali Soni
Session 2
Topic: Hands-on Session on Smart PLS 4 (Basics and Advanced)
Content: Practice sessions on Formative -Formative, Reflective-Formative models.
Faculty: Dr. Abhilasha Dixit and Dr. Deepali Soni
DAY 4
Session 1
Topic: Basics of SPSS
Content: Data entry in SPSS, Attributes of Variable View, Data Validity and Reliability and Descriptive Statistical tools
Faculty: Dr. Sandeep Raghuwanshi
Session 2
Topic: Applicability to Data analysis
Content: Identification of Outliers, Missing Value Treatment, Parametric and Non-Parametric tests using SPSS
Faculty: Dr. Anil Singh Parihar
DAY 5
Session 1
Topic: Structural Equation Modelling using R
Content: Introduction to R, Importing and Handling data in R, Descriptive Statistics-Summary measures using R
Faculty: Dr. Abhishek Singhal
Session 2
Topic: Hands on session on Structural Equation Modelling using R
Content: Analysis of Variance, Corelation, Simple and Multiple Linear Regression Analysis
Faculty: Dr. Abhishek Singhal
DAY 6
Session 1
Topic: Qualitative Research Methods Atlas NVIVO
Content: Why and how to use NVivo during various researches
Resource Person: Dr. Ashaq Hussan Najar, Faculty, Central University of Kashmir
Session 2
Topic: Hands on session on Qualitative Research Methods Atlas NVIVO
Content: Hands on session using NVivo for qualitative research
Resource Person: Dr. Ashaq Hussan Najar, Faculty, Central University of Kashmir
Valedictory
The valedictory session was chaired by Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh). The chairperson thanked all the participants for their active involvement throughout the workshop. He congratulated all the participants and FDP conveners for successful completion and wonderful sessions. The valuable feedbacks were shared by the research scholars and faculties of different streams participated during the one-week FDP. The guest speaker Dr. Ashaq Hussan Najar, Faculty, Central University of Kashmir was felicitated by Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh).
The vote of thanks was given by Dr. Arif Hasan, FDP Coordinator. He highlighted the immense contribution of the Organizing Committee members and experts. He presented a special thanks to Lt. Gen. V. K. Sharma (AVSM, Retd.), (Hon’ble Vice Chancellor, Amity University Madhya Pradesh) and Prof. Dr. M.P. Kaushik (Pro. VC, Amity University Madhya Pradesh) for their Motivation and Direction
He also thanks to Prof. (Dr) Anil Vashisht (Dy Pro VC & Dean Students welfare, Amity University, Madhya Pradesh) for his guidance and supervision of the FDP. He also thanked all the participants who made this event a grand success by participating wholeheartedly.
Outcome of the FDP:
1. Understanding developed for basics of Research Methodology including problem identification, data analysis, interpreting the data.
2. Established knowledge of various statistical tool and techniques for different data sets of varied population
3. The participants were skilled in using SPSS software for data analysis and preparation of report
4. Through the Smart PLS; participants learnt about development and validation of Structural Equation Modelling
5. The participants learnt data analysis and EFA, CFA and SEM using R Programming
6. The participants were able to do qualitative data analysis using NVivo.