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INSTRUCTOR

DR. MAJID GHASEMY

Senior Lecturer at the National Higher Education Research Institute (IPPTN), Universiti Sains Malaysia (USM). With an impressive background, he has held various significant roles, including being the former coordinator of the Global Higher Education Network (GHEN) Malaysia and a mentor for the Web of Science (Publons) Academy. Moreover, Majid holds the distinction of being a certified ATLAS.ti professional senior trainer, and he is recognized as the sole EQS/EQSIRT consultant globally.

Instructor Biography

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WORKSHOP DETAILS

ATLAS.ti 23

Participants will be assisted in installing ATLAS.ti 23 Windows software on their laptops upon arrival at the workshop. Actual data and documents will be made available for practical experience during the workshop. Participants will be guided on working with projects. They will learn how to create and manage quotations and codes within different types of documents such as audio, video, image, Google Earth, Twitter, and endnote data documents. Also, the participants will create linkages among different types of data elements and come up with new evidence-based models or networks that can facilitate the process of systematic literature review and identify main gaps as well. Lastly, they will be guided in preparing meaningful reports for sharing the research findings.

Considering different sources and types of data, running precise qualitative data analysis without employing advanced software packages will be inevitable. For this reason, ATLAS.ti has been developed for researchers who want to simultaneously see the big picture and appreciate the details. Researchers can simply reveal meaning and relationships based on the data and gain rich insights with this intuitive and powerful QDA software package. This workshop is a practical 2-day course that provides an environment for one-on-one coaching on QDA. Through this workshop, the participants will be equipped with modern qualitative data management and analysis using ATLAS.ti 23

After the workshop, the participants are expected to:

  • Understand the characteristics of QDA

  • Understand how ATLAS.ti works

  • Comprehend the analytic strategies in QDA

  • Create and manage new projects

  • Add and manage documents

  • Create quotations within a wide range of qualitative data types such as audio, video, image, text, endnote, Google Earth, and Twitter data

  • Create, edit, and manage codes

  • Work with memos and comments

  • Create and manage named and unnamed networks

  • Search for pieces of information throughout the entire sections of the project

  • Creating world clouds and word lists

  • Analyse the data

  • Running query tools and saving smart codes

  • Using co-occurrence explorer

  • Using co-occurrence table

  • Working with code-document tables

  • Prepare the reports

SmartPLS 4

Many researchers, project leaders, graduate students, and university faculty know that applying second-generation data analytic tools in data analysis is a complex process. The Variance-Based Structural Equation Modelling (VB-SEM) workshop offers you skills in modern data analysis and management. This workshop is a practical 2-day course that provides an environment for one-on-one coaching on data analysis. Through this workshop, the participants will be equipped with modern data management and statistical analysis skills with respect to measurement and structural models’ evaluations using SmartPLS 4

Participants will be assisted in installing SmartPLS software on their laptops upon arrival at the workshop. Actual data will be made available for practical experience during the workshop. Participants will be guided in evaluating formative and reflective measurement models as well as structural models. They will evaluate the collinearity among exogenous constructs in a structural model or among the items' informative measurement models. Also, the participants will evaluate the significance and relevance of path coefficients as well as models’ predictive relevance and accuracy along with related effect sizes. They will be guided on running mediation and moderation analysis and interpreting the results.

After the workshop, the participants are expected to:

  • Understand the meaning of structural equation modelling (SEM) and its relationship to multivariate data analysis.

  • Describe the basic considerations in applying multivariate data analysis.

  • Comprehend the basic concepts of partial least squares structural equation modelling (PLS-SEM).

  • Explain the differences between reflective and formative measures and specify the appropriate measurement model.

  • Explain the difference between multi-item and single-item measures and assess when to use each measurement type.

  • Describe the data collection and examination considerations necessary to apply PLS-SEM

  • Learn how to develop a PLS path model using the SmartPLS 3 software

  • Comprehend the options and parameter settings to run the PLS algorithm

  • Understand the statistical properties of the PLS-SEM method

  • Gain an overview of the evaluation of reflective and formative measurement models

  • Evaluate the structural model

  • Assess PLSpredict analysis results

  • Understand the concepts of mediation and moderation in the PLS-SEM context

  • Execute the mediation and moderation analyses using SmartPLS and interpret the results

  • Perform robustness checks to ensure the accuracy of the results

  • Preparing the results for submission to prestigious journals

EQS

EQS is one of the most comprehensive statistical packages developed by Professor Peter Bentler. He is an American psychologist, statistician, and distinguished professor at the University of California, Los Angeles. One of the leading personalities in multivariate analysis and psychometrics. Dr. Bentler received a doctorate in clinical psychology from Stanford University in 1964. In 2014, he was awarded the Psychometric Society Career Award. In 2015, he was elected a Fellow of the American Statistical Association

EQS's comprehensive data management capabilities allow users to work with data without having to use other programs. It also tests the full range of SEM, including latent regression, confirmatory factor analysis, structured means, multiple populations, latent growth curve, multilevel analysis, correlation structure & categorical data models. In addition, it estimates models using the state-of-the-art PLSe2 methodology. EQS improved DIAGRAMMER makes model setup easy without the use of command language or knowledge of matrix algebra! This software package is preferred by thousands of researchers worldwide, providing them with a wide range of easy-to-use statistical and data exploration tools.

After the workshop, the participants are expected to:

  • Understand the meaning of structural equation modelling (SEM) and its relationship to multivariate data analysis

  • Describe the basic considerations in applying multivariate data analysis

  • Comprehend the basic concepts of CB-SEM

  • Describe the data collection and examination considerations necessary to apply CB-SEM

  • Learn how to specify a model using three different approaches in EQS

  • Comprehend the options and parameter settings to run the analysis

  • Analyse path models, confirmatory factor analysis models, and structural models

  • Understand the concepts of mediation and moderation in the CB-SEM context

  • Execute the mediation and moderation analyses using EQS and interpret the results

  • Preparing the results for submission to prestigious journals