Guide
One easy way to do this is to create a table in MS Word or Excel that has three columns:
In column 1, we enter the questions. In column two, we indicate the possible answers and their answer format: open-ended text questions, dichotomous, multiple choice, rank order, scaled, or constant sum (ratio scale). Finally, in column three, we determine the type of analysis (percentages, means and standard deviations, cross tabulations, and statistical tests). Do the question and answer formats provide enough robustness to meet analysis requirements?
The Self-Enrollment Access Code found at the top of the summary report can be used if your organization does not have a customized log-in page. Distribute the code to your users and they can use the code to sign up for an account under your brand. Visit the Access Codes page for more information.
TYPES OF QUESTIONS
Open-ended text questions, dichotomous, multiple choice, rank order, multiple choice matrix, Likert or Semantic Differential scales, constant sum, conjoint, side by side, percentages, frequency counts, means and standard deviations, cross tabulations, and statistical tests (chi-square, t-test, ANOVA, regression, multivariate analysis).
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.
Qualtrics can help you interpret your data and make recommendations as to what decisions will bring you closest to your objectives. It can also put this in report or PowerPoint form.
ADVANCED ANALYSIS: MULTIVARIATE DATA ANALYSIS
Do you need a Multivariate Analysis done? Let our professional services team 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 statisticians who are experts in conducting surveys and analyzing results using any 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.