SPSS Modules

Quantitative Results

SPSS module consists of modules that have various statistical procedures in the SPSS 16.0 version. The SPSS module called the SPSS Base includes the basic statistical analysis that a non-statistical person needs to become an expert in SPSS.  This SPSS module provides a broad collection of the capabilities for the entire analytical process.  With the help of this SPSS module, the researcher can make decisions quiet efficiently.

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With the help of this SPSS module, the researcher can easily construct a data dictionary of information (like value labels, etc.) and prepare the data for the purpose of analysis that is more flexible by utilizing the “define variable properties” tool.

The SPSS regression model type of SPSS module helps the user or the researcher to use more sophisticated models to model the data.  This enables the user to model the data by utilizing a wide range of non linear regression models.  This SPSS module is an add-on module for the SPSS Base.  This is used in various disciplines, like market research, which involves the study of consumer habits, loan assessment, etc. This SPSS module includes procedures like multinomial logistic regression, binary logistic regression, etc.

The SPSS module called the SPSS advanced model more accurately examines the complicated relationships by using strong statistical tools like multivariate analysis.  This type is generally used in disciplines like medical research, which analyzes the patient survival rates, etc.  Additionally, it can be helpful in the marketing sector where it can analyze the production process.

The SPSS module called the SPSS Neural Networks is a new addition in SPSS 16.0.  This SPSS module offers non linear data modeling procedures, which help the user in creating more accurate and effective forecasting models.  This part of the SPSS module can be used in database marketing, which involves the segmentation of the customer base.  It can also be used in operational analysis to manage cash flow, etc.

The SPSS module called the SPSS classification trees constructs classification and decision trees within SPSS in order to help the user to identify the group categories and determine the relationships within the group categories.  This part of the module allows the user to forecast future events of the group categories.  This type of SPSS module can be used in the case of marketing in the public sector, or in determining credit risk scoring, etc.

The SPSS tables allow the user to better understand the data, and it also reports the outcome in an appropriate manner.  Other than the simple reporting program, this type of SPSS module provides the user with comprehensive analysis capabilities.

The SPSS module called the SPSS exact test carefully analyzes smaller datasets or those types of events that have rare occurrences. This type of SPSS module provides the user with more than 30 exact tests that include the entire range of the non parametric and the categorical data problems, which have smaller or larger numbers of data sets. This type of SPSS module includes one sample, two sample and K sample tests, etc.

The SPSS module called the SPSS categories provides the user with all the possible tools he wants in order to obtain an approach about complex, high dimensional or categorical data.  This type of SPSS module includes correspondence analysis, categorical principal component analysis, multidimensional scaling, preference scaling, etc.