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Introduction to IBM SPSS Complex Samples - ILT (0G023G)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Course Duration 1 day.
Introduction to IBM SPSS Complex Samples - ILT - Do you conduct studies that involve complex samples? In this one-day course, learn the concepts and issues relevant to complex sampling, and how to use the SPSS Complex Samples add-on module to create a sampling design or enter an existing one, select probability-based samples and produce statistical summaries adjusted for the sampling plan.

Who Should Attend

  • This intermediate course is for IBM Statistics (formerly IBM SPSS or SPSS Statistics) user in any application field who wants to learn more about Neural Network Models and their application, this self-paced training course will be of interest to you.

Course Certifications

This course is part of the following Certifications:

Prerequisites

You should have completed:
  • Introduction to IBM SPSS Statistics
  • Data Management and Manupulation with IBM SPSS Statistics and Advanced Statistical Analysis courses

Course Objectives

  • Please refer to course overview.

Course Content

  • Sampling basics
  • Probability and nonprobability samples
  • Sampling error
  • A sample SPSS Complex Samples session
  • Setting up a sampling plan
    • Stratification and clustering
    • One - and two - stage sampling designs
  • Entering an existing sampling plan
  • Data format and entry
  • Frequencies and descriptive summaries
  • Crosstabulation tables and tests of independence
  • Ratio estimation
  • General Linear Models
    • T-Tests
    • Linear Regression
  • Logistic Regression

Course ID: 0G023G


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