SPSS Combo (All 4 Courses) Course



Course Details:

Length: 8 days

Price: $4,500/person (USD)

Group Price: Request Quote

Training Reviews

Course Features:

Live Instructor Teaching

Certificate of Completion

Digital Badge

Courseware: Digital

Free 6 Month Online Retake

Hands-On Learning?: Yes

Software Lab Included?: Yes

Delivery Methods:

Live Online

Individuals and Groups
@ Your Location

Onsite for Teams

Group Teams
@ Your Organization

This is an instructor-led course. It is taught by an instructor live online or at organizations for groups.
For team training, we can teach onsite at your office or private live online.

 

Course Overview

Enroll in 4 of our instructor-led SPSS classes and save $450. This course package includes:


Register Early: Registration Deadline is 2 Weeks Prior to Class Start.

Course Notes

Course Combo Refund Policy: Once payment is received, there are no refunds on instructor-led course bundles, due to a discount being given. However, you may reschedule any of the included classes if needed.

Versions That Can Attend: SPSS Version 19 and newer can attend
Course Taught With: SPSS Version 29
Please note, there is no training manual for this class.

Knowledge Prerequisites

• Experience working in the Microsoft Windows environment and understanding of key Windows features. Experience with other Windows programs helpful. Experience with SPSS not necessary, though a basic understanding of purpose and functions of the software is helpful. No statistical background is necessary.

Related Certifications

IBM Certified Specialist - SPSS Statistics Level 1 v2 Certification
SPSS® Certified Base Programmer for SPSS® 9 Certification

Certification Notes: Certification exams are administered by third party testing companies. Our courses prepare you for the certification exam, which is an additional fee paid to the testing provider. You must contact the corresponding testing provider to take a certification exam.

 

Course Topics

Introduction to SPSS (Days 1 & 2)

Overview
Windows
Designated Window versus Active Window
Status Bar
Dialog Boxes
Variable Names and Variable Labels in Dialog Box Lists
Resizing Dialog Boxes
Dialog Box Controls
Selecting Variables
Data Type, Measurement Level, and Variable List Icons
Getting Information about Variables in Dialog Boxes
Basic Steps in Data Analysis
Statistics Coach
Finding Out More

Getting Help
Getting Help on Output Terms

Data Files
Opening Data Files
To Open Data Files
Data File Types
Opening File Options
Reading Excel 95 or Later Files
Reading Older Excel Files & Other Spreadsheets
Reading dBase Files
Reading Stata Files
Reading Database Files
Text Wizard
Reading Dimensions Data
File Information
Saving Data Files
To Save Modified Data Files
Saving Data Files in External Formats
Saving Data Files in Excel Format
Saving Data Files in SAS Format
Saving Data Files in Stata Format
Saving Subsets of Variables
Exporting to a Database
Exporting to Dimensions
Protecting Original Data
Virtual Active File
Creating a Data Cache

Data Editor
Data View
Variable View
To Display or Define Variable Attributes
Variable Names
Variable Measurement Level
Variable Type
Variable Labels
Value Labels
Inserting Line Breaks in Labels
Missing Values
Column Width
Variable Alignment
Applying Variable Definition Attributes to Multiple Variables
Custom Variable Attributes
Customizing Variable View
Spell Checking Variable and Value Labels
Entering Data
To Enter Numeric Data
To Enter Non-Numeric Data
To Use Value Labels for Data Entry
Data Value Restrictions in the Data Editor
Editing Data
Replacing or Modifying Data Values
Cutting, Copying, and Pasting Data Values
Inserting New Cases
Inserting New Variables
To Change Data Type
Finding Cases or Variables
Finding and Replacing Data and Attribute Values
Case Selection Status in the Data Editor
Data Editor Display Options
Data Editor Printing
To Print Data Editor Contents

Working with Multiple Data Sources
Basic Handling of Multiple Data Sources
Working with Multiple Datasets in Command Syntax
Copying and Pasting Information between Datasets
Renaming Datasets
Suppressing Multiple Datasets

Working with Output
Viewer
Showing and Hiding Results
Moving, Deleting, and Copying Output
Changing Initial Alignment
Changing Alignment of Output Items
Viewer Outline
Adding Items to the Viewer
Finding and Replacing Information in the Viewer
Copying Output into Other Applications
To Copy and Paste Output Items into Another Application
Export Output
HTML, Word/RTF, and Excel Options
PowerPoint Options
PDF Options
Text Options
Options for Exporting Charts
Viewer Printing
To Print Output and Charts
Print Preview
Page Attributes: Headers and Footers
Page Attributes: Options
Saving Output
To Save a Viewer Document

Working with Command Syntax
Syntax Rules
Pasting Syntax from Dialog Boxes
To Paste Syntax from Dialog Boxes
Copying Syntax from the Output Log
To Copy Syntax from the Output Log
To Run Command Syntax
Unicode Syntax Files
Multiple Execute Commands

Crosstabs
Crosstabs Layers
Crosstabs Cluttered Bar Charts
Crosstabs Statistics
Crosstabs Cell Display
Crosstabs Table Format

Overview of the Chart Facility
Building and Editing a Chart
Building Charts
Editing Charts
Chart Definition Options
Adding and Editing Titles and Footnotes
Setting General Options

 

Data Management & Manipulation with SPSS (Days 3 & 4)

Choices in Running SPSS
• Different Modes of Running SPSS
• Menus and Dialogs
• SPSS Syntax Editor and SPSS Commands
• SPSS Production Mode Facility
• When to Use the Different Modes
• Summary Exercises

Further Data Transformation Features
• Introduction
• Automatic Recode
• Counting Values Across Variables
• If Conditions
• Do If Else If Logic
• Conditional Count Transformation
• Summary Exercises

Computing Numeric Variables
• Introduction
• Using Functions In SPSS
• The Any and Range Functions
• Missing Functions
• Useful System Variables
• Summary Exercises

Computing Date, Time, And String Variables
• Introduction
• Working with Dates and Times
• Converting String Variables to Date Variables
• String Transformations
• Summary Exercises

Helpful Data Management Features
• Introduction
• Identifying Duplicate Cases
• Custom Variable Attributes
• Variable Sets
• Saving Selected Variables
• Displaying SPSS Data File Properties
• Directing Output to A Different Viewer Window
• Summary Exercises

Aggregating Data
• Introduction
• Data Aggregation
• Aggregate the Country Data to A Separate Region File
• Aggregate Region Variables to The Country File
• Summary Exercises

Merging Files – Adding Cases
• Adding Cases In SPSS
• Checking the SPSS Data File
• Reading the Dbase File
• Adding the Files
• Exploring the Combined File
• Testing Mean Differences – T Test
• Appendix: Adding Cases from More Than Two Files
• Summary Exercises

Merging Files – Adding Variables
• Introduction
• Considerations in File Merging
• A One-To-One Match
• Measuring Change
• Reporting the Changes
• A One-To-Many Match
• A One-To-Many Match Example
• Appendix: Adding Variables from More Than Two Files
• Summary Exercises

Editing Charts and Pivot Tables
• Introduction
• Chart Templates
• Setting A Default Chart Template
• Editing Pivot Tables
• Rules for Editing Pivot Tables
• Table Properties
• Editing Cell Properties
• Showing and Hiding Cells
• Creating Category Groups
• Rotating Labels
• Summary Exercises

Deployment of SPSS Results
• Introduction
• Three Types of SPSS Output
• ActiveX and SPSS
• Moving Pivot Table Output to Other Applications
• Pasting Pivot Tables into Spreadsheets
• Pasting Standard Graphics From SPSS
• Moving Text Output from SPSS To Word Processors
• Exporting SPSS Output
• SPSS Output Management System
• Summary Exercises

Controlling the SPSS Environment
• SPSS Options
• General Tab
• Viewer Tab
• Draft Viewer Tab
• Output Labels Tab
• Charts Tab
• Pivot Tables Tab
• Data Tab
• Scripts Tab
• Using the Set Command

 

Introduction to Statistical Analysis using SPSS (Days 5 & 6)

Introduction to Statistical Analysis

Principles of Research Design and Process

Data Cleaning and Preparation: Using the Add-on Data Preparation Module

Describing Categorical Data

Summarizing Continuous Data

Measures of Central Tendency and Dispersion

Checking the form of distribution

Probability and inferential statistics

Comparing Categorical Variables

Measures of Association

Mean Differences between Groups: T Test

Bivariate plots and correlations

Introduction to Regression

Appendix A: Mean differences between Groups: One-Factor ANOVA

Appendix B: Introduction to Multiple Regression

 

Advanced Statistical Analysis using SPSS (Days 7 & 8)

Introduction and Overview
•Goals of the Course
•Taxonomy of Methods
•General Approach
•Summary

Discriminant Analysis
•How Does Discriminant Analysis Work?
•The Elements of Discriminant Analysis
•The Discriminant Model
•How Cases are Classified
•Assumptions of Discriminant Analysis
•A Two-Group Discriminant Example
•Checking Variance Assumptions
•Running a Discriminant Analysis
•The Discriminant Coefficients
•Classification Statistics 2- 18 Prediction
•The Assumption of Equal Covariance
•Modifying the List of Predictors
•Casewise Statistics and Outliers
•Adjusting Prior Probabilities
•Validating the Discriminant Model
•Stepwise Model Selection
•Three-Group Discriminant Analysis
•Summary

Binary Logistic Regression
•How Does Logistic Regression Work?
•The Logistic Equation
•The Elements of Logistic Regression
•Assumptions of Logistic Regression
•A First Example of Logistic Regression
•Interpreting Logistic Regression Coefficients
•Making Predictions
•The Accuracy of Prediction
•Estimated Probabilities
•Checking Classifications
•Residual Analysis
•Stepwise Logistic Regression
•Summary
•Appendix: Comparison to Discriminant Analysis

Multinomial Logistic Regression
•Multinomial Logistic Model
•Assumptions of Multinomial Logistic Regression
•A Multinomial Logistic Analysis: Predicting Credit Risk
•Interpreting Coefficients
•Classification Table
•Making Predictions
•Appendix: Multinomial Logistic with a Two-Category Outcome

Survival Analysis (Kaplan-Meier)
•What is Survival Analysis
•Concepts
•Censoring
•What to Look for in Survival Analysis
•Survival Procedures in SPSS
•An Example: Kaplan-Meier
•Results
•Extensions
•Summary

Cluster Analysis
•How Does Cluster Analysis Work?
•Types of Data Used for Clustering
•What to Look at When Clustering
•Methods
•Distance and Standardization
•Overall Recommendations
•Example I: Hierarchical Cluster Analysis
•Cluster Results
•Obtaining Mean Profiles of Clusters
•Relating Clusters to Other Variables
•Summary of First Cluster Example
•Example II: K-Means Clustering
•Running K-Means Clustering
•Summary

Factor Analysis
•Uses of Factor Analysis
•What to Look for When Running Factor Analysis
•Principles
•The Idea of a Principal Component
•Factor Analysis Versus Principal Components
•Number of Factors
•Rotation
•Factor Scores & Sample Size
•Methods
•An Example: 1988 Olympic Decathlon Scores
•Looking at Correlations
•Principal Components Analysis with an Orthogonal Rotation
•Principal Axis Factoring with an Oblique Rotation
•Summary

Loglinear Analysis
•What are Loglinear Models
•Relations Among Loglinear, Logit Models and Logistic Regression
•What to Look for in Loglinear and Logit Analysis
•Assumptions
•Procedures in SPSS that Run Loglinear or Logit Analysis
•Example: Analysis of Location Preference (Model Selection)
•Running the Analysis
•Significance Tests
•Coefficient Interpretation
•Summary
•Appendix: Logit Analysis with Specific Model (Genlog)
•Results

Multivariate Analysis of Variance
•Why Perform MANOVA
•Assumptions of MANOVA
•What to Look for in MANOVA
•SPSS Version 7 Differences
•An Example: Memory Influences
•Examining the Output
•Post Hoc Tests
•Summary
•Appendix: Post Hoc Testing of Means

Repeated measures Analysis of Variance
•Why do a Repeated Measures Study
•The Logic of Repeated Measures
•Assumptions
•Example: One Factor Drug Study
•Examining Results
•Further Analysis
•Planned Comparisons
•Summary
•Appendix: Ad Viewing with Pre-Post Brand Ratings
•Examining Results
•Tests of Assumptions
•Profile Plots
•Extensions






Related SPSS Information:

How Much Do SPSS Training Courses Cost?

Public instructor-led SPSS course prices start at $1,240 per student. Group training discounts are available.

Self-Paced SPSS eLearning courses cost $250 at the starting point per student. Group purchase discounts are available.

What SPSS Skills Should I Learn?

A: If you are wondering what SPSS skills are important to learn, we've written a SPSS Skills and Learning Guide that maps out SPSS skills that are key to master and which of our courses teaches each skill.

Read Our SPSS Skills and Learning Guide

How long does it take to learn SPSS?

A: The answer to this question depends on a number of factors, including your prior experience with statistical software, your learning goals, and the amount of time you are willing to dedicate to learning SPSS. Generally speaking, it will take most people several weeks to become proficient in using SPSS for basic data analysis tasks. However, if you want to learn more advanced features and functions, it could take several months or longer. The best way to estimate how long it will take you to learn SPSS is to try it out for yourself. You can sign up for a free trial of the software and start working through some of the tutorials available online. With a little time and practice, you should be able to get a good sense of how long it will take you to become proficient in using SPSS.

If you're interested in taking an online or schedule a corporate onsite course to learn SPSS, Certstaffix Training offers both options. Our SPSS courses are either live online or self-paced, while our group onsite courses are offered for corporate clients at their offices. Contact us today to learn more about our SPSS training courses and how we can help you achieve your learning goals.

Can I learn SPSS Online?

A: Yes - you can learn SPSS online. In fact, many students find that learning online is more convenient and flexible than attending traditional classroom-based courses.

Certstaffix Training offers a variety of online SPSS courses that are designed to fit your schedule and learning style. You can attend either our live online instructor-led SPSS classes or register for a self-paced SPSS course to master the software.

Whether you're a beginner or an experienced user, we have an online SPSS course that's right for you. So why not get started today and see how easy it is to learn SPSS online!

What is an SPSS course?

A: An SPSS course is a class that teaches you how to use the software program SPSS. This software is used for statistical analysis, and the course will teach you how to properly use it in order to get accurate results. The class will cover topics such as inputting data, running tests, and interpreting results. If you are looking to learn how to use this software program, then an SPSS course is the perfect option for you.

Browse the available SPSS courses from Certstaffix Training now.

What are options to learn SPSS software?

If you are looking to improve your skills in using the popular statistical software, then enrolling in an SPSS training course is a great option. This type of course can provide you with valuable knowledge and hands-on experience that can benefit you both personally and professionally.

About SPSS Software Course

SPSS or Statistical Package for the Social Sciences is a software application that is widely used for statistical analysis in various fields such as social sciences, business, and healthcare. It was originally developed by IBM in 1968 and has since become one of the most popular tools for data analysis.

What to Expect from SPSS Training

During an SPSS training course, participants can expect to learn about the different features of the software, including data entry and manipulation, descriptive statistics, hypothesis testing, and visualization. Through hands-on exercises and real-world examples, participants will gain a better understanding of how to use SPSS effectively for their specific needs.

Benefits of SPSS Coaching

Those who are new to SPSS or need a refresher on the software can greatly benefit from one-on-one or group coaching. A coach can provide personalized guidance and support, allowing individuals to learn at their own pace and ask questions as needed. This type of training can also be tailored to a specific project or research area for maximum relevance.

SPSS Certification Course Online

For those who are looking to gain recognition for their skills in using SPSS, there are various online certification courses available. These courses cover all the essential aspects of SPSS and often include hands-on exercises and quizzes to test your knowledge. Upon completion, individuals can obtain a certificate that showcases their proficiency in using the software.

Convenience of SPSS Online Course

One of the major advantages of an online course is its flexibility. Participants can access course materials and complete assignments at their own convenience, making it ideal for those with busy schedules. Online courses also eliminate the need for travel, making it a more cost-effective option. A SPSS online course with certificate may be an additional feature to look out for.

Stay Up-to-Date with an SPSS Refresher Course

As technology and software constantly evolve, it is important to stay current with the latest updates and features of SPSS. A refresher course can provide individuals with the opportunity to brush up on their skills and learn about any new updates or tools that have been added to the software.

Obtain a Certificate with an SPSS Class Online

For those who are looking for a formal recognition of their knowledge in using SPSS, an online class can provide the necessary training and instruction to obtain a certificate. This type of course typically covers all the essential aspects of SPSS and includes hands-on exercises and assessments to ensure mastery of the material.

Wrapping Up

Enrolling in an SPSS training course can greatly benefit individuals looking to enhance their skills in using this powerful statistical software. With options such as coaching, certification courses, and online classes available, there is a training option suitable for everyone's needs and schedule.

Certstaffix Training offers instructor-led live online, face-to-face corporate and self-paced eLearning SPSS training options. Contact us today for more information on how to get started.

What are the top SPSS skills?

A: There are many different SPSS skills that can be useful for businesses and organizations. However, some skills are more commonly used than others. The following are some of the top SPSS skills that businesses often look for:

Top SPSS Skills

1. Data entry

2. Data analysis

3. Data interpretation

4. Report generation

5. Statistical modeling

6. Custom programming

7. Consulting services

8. Training and support

Each business or organization will have different needs when it comes to SPSS skills. It is important to assess the specific needs of your business in order to determine which skills are most important. Once you have identified the top SPSS skills that your business needs, you can begin searching for employees who possess those skills. Alternatively, you may also want to consider training existing employees on the necessary SPSS skills. Either way, ensuring that your business has the right SPSS skills can help to improve its overall efficiency and productivity.

Where Can I Learn More About SPSS?

SPSS Blogs

SPSS User Groups

SPSS Online Forums

Explore SPSS Training Classes Near Me:

Certstaffix Training provides SPSS classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of SPSS concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your SPSS skills. Start learning today and see how Certstaffix Training can help you reach your goals.







Registration:

Have a Group?
Request Private Training

4/9/2024 10:00:00 AM
Online Class

Registration Deadline - 03/25/2024

 

5/20/2024 10:00:00 AM
Online Class

Registration Deadline - 05/05/2024

 

6/27/2024 10:00:00 AM
Online Class

Registration Deadline - 06/11/2024

 

8/8/2024 10:00:00 AM
Online Class

Registration Deadline - 07/23/2024

 

9/23/2024 10:00:00 AM
Online Class

Registration Deadline - 09/08/2024

 

11/7/2024 10:00:00 AM
Online Class

Registration Deadline - 10/22/2024

Start your training today!