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Advanced Statistical Analysis using SPSS

at Certstaffix Training - Largo

Course Details
$1,240 4 seats left
Start Date:

Wed, Feb 12, 10:00am - Feb 13, 5:00pm (2 sessions)

Next start dates (3)

1300 Caraway Ct Ste 200
Btwn McCormick & Arena Drives
Largo, Maryland 20774
Purchase Options
Class Level: Advanced
Age Requirements: 18 and older
Average Class Size: 3

What you'll learn in this ibm spss training:

In this two-day seminar you will consider in depth some of the more advanced SPSS statistical procedures that are available in SPSS. You'll take a look at several advanced SPSS statistical techniques and discuss situations when each may be used, the assumptions made by each method, how to set up the analysis using SPSS and how to interpret the results.

This class will be taught using Version 25; Those using Version 19 and newer should attend.

*Please note, there is no training manual for this class.

Students will learn
  • Binary Logistic Regression
  • Cluster Analysis
  • Discriminant Analysis
  • Factor Analysis
  • Loglinear Analysis
  • Multinomial Logistic Regression
  • Multivariate Analysis of Variance
  • Repeated measures Analysis of Variance
  • Survival Analysis (Kaplan-Meier)
Who Should Attend
Anyone who has worked with SPSS for Windows and wants to become better versed in the more advanced statistical capabilities of SPSS for Windows. Anyone who has a solid understanding of statistics and wants to expand their knowledge of appropriate statistical procedures and how to set them up using SPSS.

  • Data Management & Manipulation with SPSS
  • Introduction to SPSS
  • Introduction to Statistical Analysis using SPSS
On the job statistical experience or completion of the Statistical Analysis using SPSS and/or Intermediate courses. Advanced statistical knowledge or at least two college level courses in Statistics. SPSS for Windows Base System, SPSS Advanced Statistics, SPSS Professional Statistics.

Course Outline

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
Headsets for free, Guaranteed to Run, Re-Takes for free (Up to 6 months), Interactive Classroom environment.

Registration Note: We can only accept students into our classes whose tuition is being paid by an employer or sponsoring organization. Self-paying individuals cannot enroll.

School Notes:
Courseware (if a course has a Courseware) will be shipped to the address provided two weeks before the class starts. Make sure that the additional info field is properly and correctly filled out to avoid Courseware being lost in transit. Please also note that P.O. Box addresses are not allowed.

The classes are instructor-led live training you attend in a local classroom or from your home/office. Our instructors teach from a remote location while being able to interact with students as in a traditional classroom setting.

Instructors can view student progress and take control of their PC to provide direct assistance. Students can see the instructor's presentation as well as voice questions directly to the instructor and participate in class discussions.

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Refund Policy
You can cancel or reschedule your registration without penalty or charge provided you give notice of 10 business days (M-F) or more days before the start of my class.

If you request to cancel or reschedule your registration 10 Business Days (M-F) or less days before the class start you will be charged 100% the course fee and will not be entitled to a refund. You have one (1) opportunity to use our Make-Up policy to have those funds applied to a later class date.

You cannot change your class location ten (10) Business days (M-F) or less before the class start because Certified Staffing Solutions has shipped training materials and provisioned resources. Location changes requested prior to that timeframe are subject to availability and may incur an additional charge.

Should Certified Staffing Solutions need to cancel your class due to insufficient enrollment, or postpone it due to events beyond their control, Certified Staffing Solutions will notify you as soon as possible. In such cases, you may reschedule to a future class date at no additional charge or receive a refund for any money on account relating to that registration.

Travel arrangements and costs are the sole responsibility of the student. Certified Staffing Solutions suggests obtaining refundable reservations. Certified Staffing Solutions classes are confirmed approximately 14 days before the start of the class. We cannot guarantee class commitments before that window of time. Certified Staffing Solutions will not be responsible for any cancellation costs incurred, including but not limited to, airline/mass transit tickets, hotel reservations and so on.


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Start Dates (4)
Start Date Time Teacher # Sessions Price
10:00am - 5:00pm Remote Instructor 2 $1,240
This course consists of multiple sessions, view schedule for sessions.
Fri, Nov 01 10:00am - 5:00pm Remote Instructor
10:00am - 5:00pm Remote Instructor 2 $1,240
This course consists of multiple sessions, view schedule for sessions.
Tue, Dec 17 10:00am - 5:00pm Remote Instructor
10:00am - 5:00pm Remote Instructor 2 $1,240
This course consists of multiple sessions, view schedule for sessions.
Fri, Jan 10 10:00am - 5:00pm Remote Instructor
10:00am - 5:00pm Remote Instructor 2 $1,240
This course consists of multiple sessions, view schedule for sessions.
Thu, Feb 13 10:00am - 5:00pm Remote Instructor

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