support.datacracker.com
Create Groups/Segments – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/articles/251628-create-groups-segments
Larr; Advanced Analysis. Is conducted by selecting Insert Analysis Groups/Segments. Is available as well as a walkthrough on our blog. The analysis that is conducted is known as latent class analysis,. And it identifies groups of respondents in the data that have given similar responses (i.e., are homogeneous). The number of groups is automatically selected using the Bayesian Information Criterion (BIC). Please refer to http:/ mktresearch.org/wiki/Latent Class Analysis. This article was helpful.
support.datacracker.com
Most Common Analysis Tasks – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/articles/578307-most-common-analysis-tasks
Most Common Analysis Tasks. Larr; Basic Analysis. A guide is available to work through some of the most common analysis tasks in market research, using DataCracker: http:/ mktresearch.org/wiki/DataCracker Tutorial. Importing the data into the software. Creating top 2 box scores on some brand attitude charts. Crosstabbing the questions in the survey by age and gender. Creating a simple predictive model. Reporting and sharing the results. Importing the data into the software. Creating a Summary Report.
support.datacracker.com
Basic Analysis – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/topics/53091-basic-analysis
Larr; Knowledge Base. Most Common Analysis Tasks. How do I create a crosstab (a.k.a. cross table)? Managing Filters and Weights. Can I change the base number that DataCracker refers to when calculating multiple choice questions? Can I alter the responses or edit the raw data? I think I found an error in the calculation of averages? How do I interpret a crosstab table? How do I calculate correlations? How do I compare responses between groups? How do I sort my data? Feedback and Knowledge Base.
support.datacracker.com
Is DataCracker sophisticated enough to handle complex survey data weights and different variance estimators? – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/articles/578397-is-datacracker-sophisticated-enough-to-handle-comp
Is DataCracker sophisticated enough to handle complex survey data weights and different variance estimators? Larr; Advanced Analysis. DataCracker supports two types of weights. You can see how they work by using HOME Data Selection New Weight. With the Demo Data. Shown in your My Reports. Existing weight variable. If your survey software has created a weight variable in the data file (e.g. with values such as 0.6, 0.4), DataCracker can use this directly. This article was helpful. Due to a security incide...
support.datacracker.com
Categorizing Numeric Data – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/articles/348260-categorizing-numeric-data
Larr; Basic Analysis. DataCracker allows you to categorize your numeric data. Your survey may have asked a question such as "How many years has your business been operating? Or "How old are you? And asked the respondent to move a slider or enter a number as their answer. DataCracker will normally infer that this data is Numeric. However if the data is Text, you will first need to convert it to Numeric using DATA MANIPULATION Structure Average. This is also known as:. The benefits of categorizing are:.
support.datacracker.com
Managing Filters and Weights – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/articles/490293-managing-filters-and-weights
Managing Filters and Weights. Larr; Basic Analysis. Deleting a Filter or Weight. Create a table showing the filter or weight, then press DATA MANIPULATION Variables Delete. 1 INSERT Analysis Table. 2 Select the filter (it will be at the bottom of the list). 3 DATA MANIPULATION Variables Delete. 4 HOME Delete Delete (to delete the table, as it is no longer needed). Renaming a Filter or Weight. Create a table showing the filter or weight, then press HOME Data Selection Show: Rename. 1 INSERT Analysis Table.
support.datacracker.com
General: started (0 ideas) – Customer Feedback for DataCracker
http://support.datacracker.com/forums/183255-general/status/838031
Larr; Customer Feedback for DataCracker. I suggest you . You've used all your votes and won't be able to post a new idea, but you can still search and comment on existing ideas. There are two ways to get more votes:. When an admin closes an idea you've voted on, you'll get your votes back from that idea. You can remove your votes from an open idea you support. To see ideas you have already voted on, select the "My feedback" filter and select "My open ideas". Describe your idea (optional). Post a new idea.
numbers.net.au
Numbers International - Faqs
http://www.numbers.net.au/faqs.htm
Could you tell me more about your products? Please refer to the websites for Q Professional. Other products are only available for existing clients. We would like you to develop a proprietary product for us. Can you do this? We do this from time-to-time, but only when there is a good fit with our current activities. To discuss any projects please contact us. We would like you to develop a specialist training program for our company. Can you do this? We no longer provide training services.
numbers.net.au
Numbers International - Services
http://www.numbers.net.au/services.htm
Provision, support and development of existing products:. Proprietary software development for organizations:. Analysis tools for syndicated studies. Numbers International Pty Ltd ABN: 12 104 572 812.
support.datacracker.com
Advanced Analysis – Customer Feedback for DataCracker
http://support.datacracker.com/knowledgebase/topics/42324-advanced-analysis
Larr; Knowledge Base. Analyzing other data by Groups/Segments. I want to see how responses trend over time or perform time series analysis. Is DataCracker sophisticated enough to handle complex survey data weights and different variance estimators? How do I export the people that fell into a segmentation group? How to calculate Net Promoter Score (NPS). Feedback and Knowledge Base. Customer Feedback for DataCracker. Terms of Service and Privacy Policy. Your password has been reset.
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