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Saturday, November 24, 2012

SPSS On-Line Training Workshop

Learn SPSS 16.0
Its a comprehensive & flexible statistical analysis and data management solution. SPSS can  take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses. SPSS is available from several platforms; Windows, Macintosh, and the UNIX systems.

To Watch Videos Click Subheadings.

Overview of SPSS

Overview of SPSS


Getting Started

Getting Started


Options to personalize SPSS Interface

Options in the Edit Menu


Data Editor Window

Open Files in SPSS
Define/Modify Variables
File Manipulation: sort, merge, Transpose
File Manipulation: select, spit
Programmability Extension-Using R inside Spss


Data Trasformation

Transformation Of Variables
Data Restructuring between cases and variables


Output Windows

Output: editing, printingOutput: pivot table, saving,Exporting


Syntax Editor Window

Syntax Editing and Journal Files


Chart Editor Window

Output: Chart Editing


Statistical Technique

Introduction to statistical Procedures in SPSS


Descriptive Statistics

Frequencies and Descriptive
Explore Procedures
Crosstabs Procedures


Compare Means

T-Test Procedures
One-Way ANOVA


Genearal Linear Models

Univariate GLM
Multivariate GLM
GLM: Repeated measures


Generalized Linear Models

Generalized Linear Models


Mixed Models

Mixed Models


Bivariate Correlations

Bivariate and Partial Correlation


Regression Models

Linear Regression - stats,diagnosis,plots
Linear Regression - Variable selections
Logistic Regression


Log-linear Models

General Log linear models


Classification

Cluster Analsis - Clustering Variables or cases


Data Reduction

Factor Analysis


Scale - Reliability Analysis

Reliability of Analysis


Nonparametric Techniques

Nonparametric Runs and 1-sample
Nonparametric Independent Samples
Nonparametric Related Samples


 Time Series

Time Series Smoothing
Time Series: ARIMA models using Expert Module


 Survival Analysis

Kaplan Meier Models
Cox Regression Models


Quality Control

X-Bar, R Charts for Variable Data
p, np Charts for Attribute Data
c and u charts for Count Data
Capability Analysis


Receiver Operating Characteristic Curve

ROC Curve for Classification Model Comparison

 

Data Set Used

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