SPSS TRAINING IN MUMBAI STATISITCS

SPSS SYLLABUS

Data Handling
Reading (Opening) the Data Set
Defining the Attributes of Variables
Weighing Cases
Creating a Smaller Data Set by Aggregating Over a Variable
Sorting
Reducing Sample Size
Filtering Data
Replacing Missing Values
Using Sub-sets of Variables (And Not of Cases, as in )
Creating New Variables -
Creating Dummy, Categorical, and Semi-Continues Variables… -
Using Mathematical Computations to Create New Continuous Variables:
Compute -
Multiple Response Sets - Using a "Set" Variable Consisting of Several
Categorical Variables -
Creating a "Count" Variable to Add the Number of Occurrences of Similar
Values Across a Group of Variables -
Continuous Variable Groupings Created Using Cluster Analysis -
Univariate Analysis-
Graphs (Bar, Line, Area, and Pie) -
Frequencies and Distributions -
Other Basic Univariate Procedures (Descriptives and Boxplots) -
Testing if the Mean is Equal to a Hypothesized Number (the T-Test and Error
Bar) -
Comparing Similar Variables-
Graphs (Bar, Pie) -
Boxplots-
Comparing Means and Distributions -
Multivariate Statistics-
Graphs-
Scatters -
Correlations -
Conducting Several Bivariate Explorations Simultaneously -
Comparing the Means and Distributions of Sub-Groups of a Variable - Error
Bar, T-Test, ANOVA, and Non-parametric Tests -
Tables-
Tables for Statistical Attributes -
Tables of Frequencies -
Linear Regression -
Linear Regression
Interpretation of Regression Results-
Problems Caused by the Breakdown of Classical Assumptions -
Diagnostics -
Formally Testing for Heteroskedasticity: White’s Test-
Correcting for Breakdown of Classical Assumptions-
Correcting for Collinearity -
Correcting for Heteroskedasticity-
Correcting for Incorrect Functional Form-
Correcting for Simultaneity Bias: SLS -
Correcting for other Breakdowns -
MLE: Logit and Non-linear Regression-
Logit -
Non-linear Regression -
Comparative Analysis-
Using Split File to Compare Results-
Formatting and Editing Output -
Formatting and Editing Tables -
Formatting and Editing Charts-
Reading ASCII Text Data -
Understanding ASCII Text Data-
Reading Data Stored in ASCII Tab-delimited Format-
Reading Data Stored in ASCII Delimited (or Freefield) Format other than Tabdelimited-
Reading Data Stored in Fixed Width (or Column) Format ……………-
Merging: Adding Cases & Variables -
Adding New Observations-
Adding New Variables (Merging) -
Non-parametric Testing -
Binomial Test -
Chi-square-
The Runs Test - Determining Whether a Variable is Randomly Distributed -
Setting System Defaults -
General Settings-
Choosing the Default View of the Data and Screen -
Reading Data from Database Formats -
Time Series Analysis-
Sequence Charts (Line Charts with Time on the X-Axis) -
Checking for Unit Roots / Non-stationarity (PACF) -
Determining Lagged Effects of other Variables (CCF) -
Creating New Variables (Using Time Series Specific Formulae: Difference,
Lag, etc -
ARIMA-
Correcting for First-order Autocorrelation Among Residuals
(AUTOREGRESSION)-
Co-integration-
Programming without programming (using Syntax and Scripts)…… -
Using SPSS Scripts…-
Using SPSS Syntax…-