Advanced Quantitative Analysis through SPSS & AMOS

BECOME AN ANALYST FOR ADVANCED STATISTICAL ANALYSIS AND APPLICATION

Quantitative analysis has become a prerequisite to academic research, managerial reports, and field analysis. Sophisticated quantitative techniques are applied to report patterns, test significance, infer statistics, and present results in graphical models. This course will train you on how to produce various advanced level statistics according to your research needs. Students will learn how to use SPSS and AMOS for producing quantitative analysis, interpreting values, applying tests, and producing results in graphical modeling.

WHO SHOULD ATTEND?

• Faculty Members of Social, Natural and Applied Sciences
• MPhil/PhD Students
• Researchers of R&D Organizations
• R&D Managers/Executives
• R&D Planners and Policy Managers
• University Liaison Officers
• Executives of Marketing and social research Organizations

LEARNING APPLICATION:

The workshop will cater a wide range of professionals from various domains of research through data analysis required for:

• Academic research for high end publications, academic theses and advanced analysis
• NGOs to identify social patterns, assess impacts of social interventions and analyses public perceptions
• Industry for monitoring customer satisfaction, clients feedback, products test, lab experiments and quality controls
• Social and natural scientists for political forecasting, medial studies, drugs survey, and engineering planning etc

MAJOR LEARNING AREAS:

• SPSS usage for Quantitative Analysis
• Introduction to Research and Data Screening
• Techniques for Comparative Analysis (T Tests and ANOVA)
• Exploratory Factor Analysis (EFA)
• Introduction to Scale’s Reliability & Validity
• Hypothesis Testing Using Regression Analysis
• Complex Research Models in SPSS
• Advanced Level Complexity
• Structural Equation Modeling (SEM)
• Understanding AMOS Output
• Confirmatory Factor Analysis
• Hypothesis Testing through Path Analysis and SR Model
• Complex research models on AMOS

LEARNING OUTCOMES:

After attending the course, participants will build their capacity in areas like:

• Selecting, adapting, and developing their research questionnaire
• Choosing right statistical technique for testing their proposed research models
• Using SPSS for testing relationships among their hypothesized research models and advanced statistical models
• Testing hypothesis using T Tests and ANOVA
• Understanding & reporting statistical results of their studies in top quality, empirical, research journals.
• Using quantitative techniques for industrial, professional and organizational data
• Learning the structural equation modeling
• Developing advanced analytical models like CFA and SR
• Learning advanced techniques like multi-mediation, phantom model, orthogonalization etc.

COURSE OBJECTIVES:

• Orientation of fundamentals of quantitative analysis
• Building capacity to produce quantitative analysis through software
• Interpretation and writing quantitative findings
• Producing quantitative results in graphical modeling

DURATION: 3 Days

 LANGUAGE: English and Urdu

WHO SHOULD ATTEND?

• Faculty Members of Social, Natural and Applied Sciences
• MPhil/PhD Students
• Researchers of R&D Organizations
• R&D Managers/Executives
• R&D Planners and Policy Managers
• University Liaison Officers
• Executives of Marketing and social research Organizations

Instructor:
Dr. Muhammad Arshad
Assistant Professor (Head Research Program)
LBS – Academic Staff
Mr. Muhammad Arshad is a Ph.D. in the field of Management Sciences and Assistant Professor in Lahore Business School, The University of Lahore. He is Head of Research Programs (M.Phil and Ph.D.). His research interests are Entrepreneurial Intentions, Passion, and Persistence of women in developing countries. He has published numerous research articles in impact factor and top tier journals. He is a certified Trainer of SPSS, AMOS, and MPlus. He has conducted many training workshops at the platforms of University of Lahore, Institute of Research Promotion (IRP), Quaid-e-Azam University Islamabad. He is proficient in Advanced Business Research Methods and contemporary data analysis techniques including multiple regression, exploratory factor analysis, confirmatory factor analysis, structural equation modelling, phantom modelling, hierarchical linear modeling and complex modelling. Furthermore, he has also presented his research work at numerous international conferences including Academy of Management Annual Meetings (2014, 2015& 2016), Midwest Academy of Management 2016 and ACERE conference. He is confident in stating that research in entrepreneurship is his passion and he is striving to seek his career in academic and research world.

Sharing this Course