SPSS & AMOS in Industrial & Academic Research

Venue
KV Institute Of Management And Information Studies
Start Date
End Date
Last Date For Registration
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80% of the world's data has been collected over the past few years. Overwhelmed by such large scores of data, researchers and organizations are attempting to extricate the ground-breaking experiences they have to settle on more quick witted business and research decisions. To this tune, KV Institute of Management and Information studies created a live session on SPSS & AMOS: Making Data-Driven Research and Business Decisions for Students, Researchers, Industrial professionals hoping to tackle information in new and imaginative ways.

The uplifting news : This session does not require prior experience in statistical tools (SPSS & AMOS etc). On the off chance, all that is needed is the specific fundamental factual ideas about data and business. All the factual strategies are introduced in a basic, clear way, maintaining a strategic distance from the specialized language and the scientific equations however much as could be expected.

MODULE

TOPIC

DETAILS

ASSIGNMENT

1.

Introduction to SPSS Package

Basics of data, Information, Tools,Data screening, Missing data,Normality

  

2.

Perform simple
operations with data

Define variables, recode variables,create dummy variables and Data Validation

Canadian super
store case study

3.

Perform the basic data
analysis procedures

Frequencies, Descriptive, Explore,Means, Crosstabs

Herrings dataset

4.

Perform the main one-
sample analyses

One-sample t test, and chi square forgoodness of fit

Psychological test
dataset

5.

Execute the analyses
for means comparison

t test, between-subjects ANOVA,repeated measures ANOVA,nonparametric tests (Mann-Whitney,
Wilcoxon, Kruskal-Wallis etc.)

Sales dataset

6.

Compute and interpret
various types of
reliability indicators

Cronbach's alpha

Validation

7.

Use the main grouping Package

Cluster analysis

Marketing dataset

8.

Perform the tests of association &
regression analysis

Pearson and Spearman correlation ,partial correlation and chi square test for association
 

Nike company case study

9.

Introduction to AMOS package

Basics of Data & Tools

  

10.

Exploratory Factor
Analysis (EFA)
  • Rotation types
  • Factoring methods
  • Appropriateness of data
  • Communalities
  • Dimensionality
  • Factor Structure

Real-time dataset

11.

Confirmatory Factor
Analysis (CFA)
  • Model Fit
  • Validity and Reliability
  • Common Method Bias(CMB)
  • Invariance
  • 2nd Order Factors

Real-time dataset

12.

Structural Equation
Modeling (SEM)
  • Hypotheses
  • Controls
  • Mediation
  • Interaction
  • Model fit again

Real-time dataset

13.

General Guidelines
  • Example Analysis
  • Ten Steps to Building a Good Quant
  • Model
  • Order of Operations
  • General Guidelines to Writing a Quant
  • Paper

Guidelines

 

The course is open for

  • Student
  • PhD candidates
  • Academic Researchers
  • Business Researchers
  • Anyone looking for a career in statistical analysis
  • Anyone with interest in quantitative research
     

Dr. S. Lara Priyadharshini, "The Best Professor 2017-18" in the areas of "Academics and Research" with interests in Human Resource Management, Organizational Behaviour and also one of the reputed Data Analyst, Researcher in statistical discipline. Her scientific accomplishments are many, with the most well-known being handling the SPSS and AMOS algorithm which was a landmark in the field of statistics, providing a unifying computational approach to evaluation of data sets. She has also worked closely with different manufacturing and service industries in to areas of G-Suite applications, Excel Modelling and Power Business Intelligence for Business Data Analysis. She has presented and her paper was accepted in various National and International Conferences.

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Dr. Vijayanand Sundaram  is currently Professor in the area of Marketing and also one of the reputed analyst especially in AMOS package. He conducted many hands-on research workshop to various reputed Universities, Colleges and Corporates. Also he published many research papers in the most reputed journals. He has presented and his paper accepted in various National and International Conferences. He has often been known to spend hours at scientific meetings helping students from other institutions to understand his statistical methods. He has trained many researchers in his career.

The Program Charges are as follows

Delegate Category

Amount

Corporate

Rs. 1500/-

Academicians

Rs. 1000/-

Research Scholars

Rs. 500/-

Students

Rs. 500/-

 

  • Maximum Number of Participants : 30
  • Your participation should be confirmed by us before attending the course. Delegate
    fee is non-refundable.
  • Registration: “First-come-First Serve” and based on a selection process by
    Department of Research (DoR) and Department of Executive Education (DoEE).

 

 IMPORTANT NOTE:

  • Certificate of participation for those who attend all sessions.
  • Refreshment and working lunch will be provided.
  • Spot payment is permitted, require prior registration online along with acceptance
    from DoR and DoEE.
  • Attendance certificate will be issued on request.
  • Participants are expected to have basic Computer & Research knowledge to attend.