Quantative Analysis – SWS Research Unit https://stats.swsgh.com Academic Research Writing | Data Analysis | Analysis Training Mon, 06 Oct 2025 09:24:00 +0000 en-US hourly 1 https://wordpress.org/?v=7.1 https://stats.swsgh.com/wp-content/uploads/2023/08/cropped-cropped-swsgh-research-logo-32x32.png Quantative Analysis – SWS Research Unit https://stats.swsgh.com 32 32 Data Analysis with SmartPLS (One-on-one: Live Online with zoom) https://stats.swsgh.com/product/data-analysis-with-smartpls-online-classes-with-zoom/ https://stats.swsgh.com/product/data-analysis-with-smartpls-online-classes-with-zoom/#respond Mon, 28 Aug 2023 05:04:45 +0000 https://stats.swsgh.com/?post_type=product&p=255
kenneth Kitson

Kenneth Kitson (PhD)

I’m Kenneth Kitson, a private research analyst. As a private research analyst, I assist students, lecturers and businesses with their research projects in the area of research proposals, research dissertations and thesis and market research. I’m expert in the following statistical tools: IBM SPSS, AMOS, SmartPLS, Stata, etc. I have more than 5 years of experience in research and data processing and analysis, research reporting. I have facilitated research analytical training programs and assisted a lots of students, lecturers and businesses.

Course Description

This course provides an in-depth exploration of the SmartPLS software for conducting structural equation modeling (SEM) and data analysis. Students will learn how to use SmartPLS to analyze complex relationships among variables, assess model fit, and interpret results for various research applications.

Course Duration: 2 Weeks

Prerequisites:

  • Basic understanding of statistics and research methods
  • Familiarity with concepts of regression analysis and correlation

Course Outline:

Session 1: Introduction to Structural Equation Modeling (SEM) and SmartPLS

  • Understanding the need for SEM in complex data analysis
  • Overview of SmartPLS and its features
  • Installation and setup of SmartPLS software
  • Loading and organizing data in SmartPLS

Session 2: Theoretical Foundations of SEM & Measurement Model in SmartPLS

  • Review of path analysis, factor analysis, and latent variables
  • Causal vs. non-causal relationships
  • Formulating research questions and hypotheses for SEM
  • Defining reflective and formative constructs
  • Construct validity and reliability
  • Indicator selection and measurement scaling
  • Assessing measurement model using SmartPLS

Session 3: Model Assessment & Structural Model in SmartPLS

  • Concept of latent variables and their relationships
  • Understanding model fit and its importance
  • Model modification and improvement
  • Model specification and development
  • Path specification and hypothesis testing
  • Running the structural model in SmartPLS

Session 4: Advanced Topics in SmartPLS

  • Moderation and mediation analysis using SmartPLS
  • Second-order and higher-order constructs
  • Multigroup analysis for comparing groups
  • Handling missing data in SmartPLS

Session 5: Reporting and Interpreting Results

  • Interpreting path coefficients and their significance
  • Presenting results graphically
  • Writing the results section of a research paper
  • Addressing limitations and discussing implications

Bonus: Best Practices and Ethical Considerations

  • Ensuring model identification and identification problem
  • Assessing multicollinearity and singularity
  • Dealing with endogeneity and causality challenges
  • Ethical considerations in SEM research
  • Troubleshooting common issues in SmartPLS

Premium Packages: SmartPLS version 4 or 3 Professional License, SmartPLS report documents, Session Videos, After Training Services, Before Training Services

]]> https://stats.swsgh.com/product/data-analysis-with-smartpls-online-classes-with-zoom/feed/ 0 Data Analysis with IBM SPSS: Using the right measures for your Dissertation/Thesis https://stats.swsgh.com/product/data-analysis-with-spss/ https://stats.swsgh.com/product/data-analysis-with-spss/#respond Sat, 24 Aug 2019 11:33:26 +0000 https://stats.swsgh.com/product/learn-to-speak-like-a-native-speaker/
kenneth Kitson

Kenneth Kitson (PhD)

I’m Kenneth Kitson, a private research analyst. As a private research analyst, I assist students, lecturers and businesses with their research projects in the area of research proposals, research dissertations and thesis and market research. I’m expert in the following statistical tools: IBM SPSS, AMOS, SmartPLS, Stata, etc. I have more than 5 years of experience in research and data processing and analysis, research reporting. I have facilitated research analytical training programs and assisted a lots of students, lecturers and businesses.

Course Description: This course provides a comprehensive introduction to data analysis using IBM SPSS software. Students will learn how to manage, visualize, and analyze data to make informed decisions and conduct statistical research.

Course Objectives

  • Understand the basics of IBM SPSS
  • Use IBM SPSS to perform descriptive and inferential statistical analysis
  • Create graphs and charts to visualize data
  • Apply IBM SPSS to real-world data analysis problems

Course Duration: 2 weeks

Prerequisites:

  • Basic understanding of statistics and research methods
  • Familiarity with Microsoft Windows operating system

Course Outline:

Session 1: Introduction to Data Analysis and SPSS

  • Overview of data analysis and its importance
  • Introduction to IBM SPSS and its features
  • Installation and setup of SPSS software
  • SPSS interface and data handling
  • Data types and data formats
  • Data entry methods (manual vs. importing)
  • Cleaning and transforming data in SPSS
  • Variable labels and value labels

Descriptive Statistics in SPSS

  • Measures of central tendency (mean, median, mode)
  • Measures of dispersion (variance, standard deviation, range)
  • Creating frequency distributions and histograms
  • Data exploration techniques

Session 2: Data Visualization in SPSS

  • Creating various types of charts (bar charts, scatterplots, etc.)
  • Customizing and formatting charts
  • Exporting visuals for reports

Inferential Statistics with SPSS: Part 1

  • Introduction to inferential statistics
  • Hypothesis testing concepts (null vs. alternative hypothesis)
  • Sample t-tests (independent and paired)
  • Analysis of variance (ANOVA)
  • Interpreting and reporting results

Session 3: Correlation and Regression Analysis in SPSS

  • Bivariate correlation analysis
  • Linear regression analysis
  • Assessing assumptions and multicollinearity
  • Interpreting regression output
  • Factor analysis in SPSS

Bonus: Reporting and Presenting Results

  • Writing the results section of a research paper
  • Creating professional reports in SPSS
  • Preparing data summaries for presentations
  • Ethical considerations in data analysis and reporting

Premium Packages: SPSS Software full package, SPSS report documents, Session videos, after training services, before training services

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