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VORTEX Version 8.1.. Software Application Sociology; Marketing research; Social-psychological research Social-medical research Staff recruitment, staff.

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Presentation on theme: "VORTEX Version 8.1.. Software Application Sociology; Marketing research; Social-psychological research Social-medical research Staff recruitment, staff."— Presentation transcript:

1 VORTEX Version 8.1.

2 Software Application Sociology; Marketing research; Social-psychological research Social-medical research Staff recruitment, staff development objectives Processing of surveys data: Corporate customers; Consumers (actual, potential); Experts; Employees.

3 Development of Data Collection Tools Development of dictionary – questionnaire layout. Support of various types of variables (alternative, polyvariant, numerical, string). Import of layout to Word (for printing). Import of layout to HTML (for Internet surveys).

4 Data Entry Ergonomic type-in methods. Visual list of answer options including the option of adding new variants. Tracking of input errors. Export/Import to/from Excel, SPSS and other programs.

5 Data Conversion Conversion of initial variables to analysis- friendly form. Generation of new information from available data through development of secondary indexes. Data standardization. Replacement of missing data by various methods.

6 Information Analysis Procedures of univariate, bidimensional and multivariate analysis. Application of mathematical statistics and qualitative data analysis methods. Table and graphic representation of analysis results.

7 Table and Graphical Representation of Results Import of any analysis results to Microsoft Word as editable tables and diagrams; Copying of analysis results as tables and diagrams to clipboard for inserting in other application programs; Open Office compatibility.

8 Vortex characteristics: Using of polyvariant variables to optimize data input and analysis Using of polyvariant variables to optimize data input and analysis Quantitative indexes for qualitative variables Quantitative indexes for qualitative variables Logical constructor of secondary variables Logical constructor of secondary variables String variables handling String variables handling Quick analysis and output Quick analysis and output Analysis of specific groups or segments Analysis of specific groups or segments Multivariate qualitative interpretation of any option Multivariate qualitative interpretation of any option Special marketing procedures and diagrams Special marketing procedures and diagrams (you may choose the relevant slide to switch to)

9 Using of polyvariant variables to optimize data input and analysis Polyvariant variable is designed for the multiply choice questions handling. Polyvariant variable reserves only one column in data matrix to save space and time. You can quickly input data as (numbers of selected options) or 2-5 (from 2 to 5). Polyvariant variables can be analyzed also as alternative variables, so that all options are together in a united table or graph.

10 Quantitative indexes for qualitative variables When a variable is defined each value may receive an index – equivalent of quantitative value These indexes will be used to calculate the approximate mean and other statistics without creating of a new variable.

11 Logical constructor of secondary variables A fast way to unite several variables in one multi- dimensional variable is Secondary variable design wizard The program will calculate all possible combinations, you just have to assign them new values.

12 String variables handling String variables can be used for open-ended questions handling. Data may be set as text strings. For the first time string classification should be done mostly manually using drag and drop method. However results of manual classification can be saved and used the next time.

13 Quick analysis and output Any analysis is simple: Select procedure Select variables Add characteristics of a table or graph. Copy a table or graph to MS Word or clipboard to paste in other application

14 Analysis of specific groups or segments Any analysis procedure can be done both for the whole sample and for a specific group or segment. Button Selection allows to set analysis conditions Specific group can be selected by the logical formula if you click on variables and values.

15 Multivariate qualitative interpretation of any choice Double click on any value in the frequencies table activates Group description procedure. The selected group will be described by Distinct features, Important features and Segments which constitute this group.

16 Special marketing procedures and diagrams: Different procedures of consumer segmentations including cluster analysis. Different procedures of consumer segmentations including cluster analysis. Different methods which research influence of various factors on consumer behaviour, including linear regression with multiple effect and multidimensional graph. Different methods which research influence of various factors on consumer behaviour, including linear regression with multiple effect and multidimensional graph. Polar profiles graph for brand image research. Polar profiles graph for brand image research. Demand curve calculation and graph for estimation of the optimal product price. Demand curve calculation and graph for estimation of the optimal product price. (you may choose the relevant slide to switch to)

17 Consumer Segmentation Forming of various target groups. Separate analysis for various target groups. Comparative analysis of various target groups.

18 Graphs in consumers behavior Compare various groups in two dimensions. Regression lines for optimal price Estimate optimal curve Optimal price dependenсe from age Smoothed regression line Regression line Lower and upper borders of 95% error interval Age Optimal Price for 1 bottle of beer (0,5 lt.) 8 7

19 Polar profiles graph Comparison of various groups by preferences. Comparison of various brands by several parameters Definition of product preferences or brand image

20 Demand Curve Demand curve calculation as an interval between high and low price preferences. Optimal price interval definitions using price oriented variables.

21 Contact Information: Software Developer: Denis Shkurin, PhD in Sociology, Associate Professor of UrGU XXXX Software Distributor: SOCIS MR Russia Tel/Fax:


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