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IBM SPSS Software Training

Tailored & Dedicated Statistics Training for Health & Medical Professionals

ANOVAS

This 2-day course will provide you with the understanding of ANOVA Designs; consisting of 1-Way Independent ANOVA, Factorial ANOVA, Repeated Measures ANOVA and Mixed Designs ANOVA. You will be guided on how to generate the correct statistics for each ANOVA design from the SPSS menus and sometimes the Syntax. You will gain knowledge and competence to enable you to format your data to use ANOVA Designs and related statistics correctly and also to interpret and report the results.

Target Audience

Doctors, dentists, nurses, allied health professionals, researchers, academics, service staff, and students, who seek clear understanding ANOVAs – Univariate and Multivariate Statistics.

Pre-requisite

This is a follow-up course to the Introduction to SPSS course. It is assumed that you have had some exposure to basic SPSS skills.

Teaching Methods

The teaching method is mainly hands-on. It is supported by presentation, demonstration, encourage reflection, discussions, questions and answers. The tutor will go around to examine each participant’s project to provide suggestions, corrections and efficiency tips.

Training Workbook

Each participant receives an instructional workbook to work through and keep.

Certificate of Completion & After Training Support

Each participant receives a certificate of completion and ongoing after training support via phone, email and a weekly live questions and answers Webinar, Friday mornings 11-12 noon GMT.

Course Outline

By the end of the course, you will be able to:

  • Identify the various ANOVA designs and related statistics
  • Establish and validate assumptions for the correct use of ANOVA statistics
  • Interpret ANOVA outputs.
  • Calculate and interpret effect size.
  • Report and interpret results.

The course is sub-divided into the following lessons:

One-way ANOVA

In this lesson, you will cover the following topics:

  • The assumptions for using ANOVA.
  • Explore your data to ensure it meets the assumptions for using ANOVA.
  • Differentiate between, the dependent variable, fixed and random factors.
  • Generate ANOVA and perform Post-hoc analysis.
  • Examine the fit of the model.
  • Explain the ANOVA outputs and interpret the result.

Univariate Models – General Linear Models

In this lesson, you will cover the following topics:

  • Understand data required for univariate model.
  • Differentiate between, the dependent variable, fixed, random and covariate factors.
  • Generate a univariate analysis.
  • Explore the effects of factors, covariate, and covariate interactions with factors on the dependent variable.
  • Perform post-hoc analysis where appropriate.
  • Examine the fit of the model.
  • Explain the outputs and report findings.

Multivariate Models – General Linear Models

In this lesson, you will cover the following topics:

  • Understand data required for multivariate model.
  • Generate multivariate analysis on two or more dependant variables.
  • Examine the influence of fixed factors, and covariate on the dependent variables.
  • Perform post-hoc analysis where appropriate.
  • Examine the fit of the model.
  • Explain the outputs and report findings.

Repeated Measures Model – General Linear Models

In this lesson, you will cover the following topics:

  • Understand data required for Repeated Measures model.
  • Generate repeated measures model, which may include between subject factors, and covariates and interaction of factors and covariates.
  • Understand the associated statistics produced
  • Perform post-hoc analysis where fixed factor groups are included in the model.
  • Explain the outputs and report findings.

Course Reminders

  • Please bring your laptop with IBM SPSS software installed and tested for working correctly.  If you need to download a free trial version, here is a link to download.
  • Practice files come pre-loaded with a working copy of SPSS software.

Register Your Interest

We only need 4 interested people to schedule this course, so please submit your interest to make it happen.

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