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Online Data Analysis Services
Need help with online data analysis? We provide you with easy to use online data analysis in real-time. You will have access to your data from anywhere in the world where you have access to the internet. And you can easily publish the results via email or to a website. We make online data analysis easy.
As the following table shows, our experts are able to perform the type of analysis that your project demands.
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A GUIDE TO THE SELECTION OF STATISTICAL TOOLS
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Class of Statistics
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| Type of Data |
Non-Parametric
(Nominal - Ordinal)
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Parametric
(Interval Ratio)
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| One Variable In The Analysis |
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| 1. Discrete |
a. Percentage |
(Impossible) |
2. Continuous a. Median,Mode
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a. Median,Mode b. Quartile range
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a. Mean
b. Std. Deviation
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| Two Variables In The Analysis |
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1. Both Discrete
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a. Chi Square
b. Phi Coefficient
(2 rows x 2 cols.)
c. Contingency Coefficient
d. Tetrachoric Corr.
e. Yule's Q (2 x 2)
f. Lambda
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a. Conjoint Analysis
(2 Attribute Tradeoff)
b. Correspondence Analysis
(2 rows x 2 cols.)
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2. One Discrete and Other Continuous
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a. Student
t
(if dependent variable is dichotomous)
b. One-Way ANOVA |
3. Both Continuous
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a. Spearman Rank Correlation
b. Kendall's R
c. Gamma
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a. Pearson Correlation
b. Eta Curvilinear
c. Simple Regression |
| Three Variables In The Analysis |
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1. Three Discrete
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a. Cross Tabulation |
a. Conjoint Analysis
b.Multi-Dimensional scaling
c. Correspondence
Analysis (Multiple)
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2. Two Discrete
One Continuous
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a. ANOVA (2 Way) |
3. One Discrete
Two Continuous |
a. Comparison of proportions |
a. Analysis of Covariance
b. Comparison of two Correlations (if dependent variable multichotomy)
c. Multiple Discriminant Analysis
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4. Three Continuous |
a. Kendall's W |
a.
First-Order Partial Correlation
b.
Multiple
Regression
c. Multiple Correlation
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| Four or More Variables In The Analysis |
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| 1. K Discrete |
a. Cross Tabulation
b. Non-Metric MDS (Multi-Dimensional Scaling)
c. Chaid
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a. Conjoint Analysis
b. Quasi Metric MDS
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2. One Discrete,
K Continuous
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a. Probit Analysis (For normal probability distribution)
b. Logit Analysis
(For Logistic Probability Distribution)
c. Multiple Discriminant Analysis
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| 3. K Continuous Variables |
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a. Second-OrderPartial Correlation
b. Multiple Regression
c. Multiple Correlation
d. Factor Analysis
e. Cannonical Correlation
f. Fully Metric Multi-
Dimensional Scaling
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4. One Continuous,
K Discrete
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a. CART
b. Conjoint
c. Multiple Regression (Dummy) |
If you need more advanced data analysis, the data export feature creates an Excel spreadsheet or an SPSS data file. From there you can do what you need to with the data.
Interpreting Data and Statistics
We can help you interpret your data and make recommendations as to what decisions will bring you closest to your objectives. We can also put this in report or PowerPoint form.
Advanced Analysis: Multivariate Data Analysis
Do you need a Multivariate Analysis done? Let our professionals do it for you.
What is Multivariate Data Analysis?
Multivariate data analysis is the analysis of multiple variables at the same time. This type of analysis is used to find how a set of variables explain one or more other variables. For example, sets of variables may explain one overall variable (brand loyalty) or may differentiate between key market segments. Similarly, a set of brand attributes may be used to map relationships to the key brands competing in the marketplace, thereby showing the strengths and weaknesses of each brand.
Our research staff consists of PhDs who are experts in conducting surveys and analyzing results using any of a number of techniques, including
Conjoint Analysis (Full Profile Conjoint; Self Explicated Conjoint; Choice Based Conjoint Analysis)
Monte Carlo Simulations
Multidimensional Scaling Analysis
Correspondence Analysis
Cluster Analysis
Factor Analysis
Data Mining with CHAID, Classification and Regression Trees, and Neural Network Analysis
Multiple Regression
Discriminant Analysis
Forecasting Analysis
Typical applications
Quality optimization (food, beverages, consumer products, electronics, paints, cosmetics, pharmaceuticals, insurance, banking and finance).
Optimization of brand attributes in the design of new products.
Multi-item Scale Development.
Optimization of scale measures and methods.
Classification of respondent and market segments.
Development of new advertising and promotional materials.
Our Professional Researchers are also available to complete your data analysis for you. They will discuss your analysis options with you and help you to understand the types of decisions that can be made from the data you want to collect. The results will be quickly made available to you online and in a printable electronic format. Contact one of our research consultants for more information.
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