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Advanced Statistical Analysis Using IBM SPSS Statistics (V25)

Advanced Statistical Analysis Using IBM SPSS Statistics (V25)

Category: SPSS

Description

This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.

Audience

Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions.

Duration

2 days

Requirements

  • Experience with IBM SPSS Statistics (navigation through windows; using dialog boxes)
  • Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V25) course.

Curriculum

Introduction to advanced statistical analysis
• Taxonomy of models
• Overview of supervised models
• Overview of models to create natural groupings

Group variables: Factor Analysis and Principal Components Analysis
• Factor Analysis basics
• Principal Components basics
• Assumptions of Factor Analysis
• Key issues in Factor Analysis
• Improve the interpretability
• Use Factor and component scores

Group similar cases: Cluster Analysis
• Cluster Analysis basics
• Key issues in Cluster Analysis
• K-Means Cluster Analysis
• Assumptions of K-Means Cluster Analysis
• TwoStep Cluster Analysis
• Assumptions of TwoStep Cluster Analysis

Predict categorical targets with Nearest Neighbor Analysis
• Nearest Neighbor Analysis basics
• Key issues in Nearest Neighbor Analysis
• Assess model fit

Predict categorical targets with Discriminant Analysis
• Discriminant Analysis basics
• The Discriminant Analysis model
• Core concepts of Discriminant Analysis
• Classification of cases
• Assumptions of Discriminant Analysis
• Validate the solutiobr />
Predict categorical targets with Logistic Regressiobr />• Binary Logistic Regression basics
• The Binary Logistic Regression model
• Multinomial Logistic Regression basics
• Assumptions of Logistic Regression procedures
• Testing hypotheses

Predict categorical targets with Decision Trees
• Decision Trees basics
• Validate the solutiobr />• Explore CHAID
• Explore CRT
• Comparing Decision Trees methods

Introduction to Survival Analysis
• Survival Analysis basics
• Kaplan-Meier Analysis
• Assumptions of Kaplan-Meier Analysis
• Cox Regressiobr />• Assumptions of Cox Regressiobr />
Introduction to Generalized Linear Models
• Generalized Linear Models basics
• Available distributions
• Available link functions

Introduction to Linear Mixed Models
• Linear Mixed Models basics
• Hierachical Linear Models
• Modeling strategy
• Assumptions of Linear Mixed Models

Classes

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Q&A

  • Can you customize courses to suit our particular requirements? Yes, of course. We offer training consultancy and we establish the most appropriate solution according to the specific needs and business objectives of your company. Contact us and we’ll find the best training solution for you.
  • Can individuals use your services or they are organized for companies?Yes, we organise open courses which can be accessed by individuals. Whether you are looking for an IT or a Business training, you can find it at Brain Concert. Moreover, you’ll meet people from the same area of work as you and we can create communities of practice, where you can share professional tips and tricks and best practices.
  • What types of trainings are available for my company? We offer a variety of courses: in the IT area, there are Agile & Lean Courses, Software Development Courses, QA Courses, Software Administration Courses and Security Courses. We also offer Business Courses, focused on the development of soft skills. Define your objectives and choose the most appropriate training for you or your company.
  • What should I know before choosing a training? You should know that we offer courses for everyone, but you have to choose according to some criteria. First, define your objectives, then, the level of the participants (basic, advanced). There are courses with some requirements attached because the participants of a training session must form a compact group in terms of their previous knowledge so that they and the trainers are on the same page.
  • What is the minimum number of participants if we want in-house training? The minimum number of participants for an in-house depends on the course type. Please contact us to establish these details.
  • Can you organize virtual training sessions or only face to face trainings? Yes, you can choose an online or offline training session. We use Knolyx, an e-learning platform to make the process of online training delivery as efficient as a face to face training session.