Snap Survey Software How-to: Band Results for Easy Analysis

Learn how to band quantity variables for analysis using Snap Survey Software 

measure-results-with-survey-softwareIf you have a quantity question in your survey, you may want to split the results into bands for easy analysis of results. For example, you may wish to split ages or salaries into ranges.

There is a quick way to do this in Snap Survey Software using numeric variables. Numeric variables are a type of derived variable (i.e. they contain information that is derived from responses).

Quantity data provides a continuous set of values. Because of this, it is difficult to find out how values are distributed, as every response could be different. If you want to see what ranges responses fall into, you have to group the responses together. You can choose how to group your responses, though it is best to group them into equal size bands to see how the responses are distributed. You need to choose how wide the bands are to make sure that you don’t miss any important spikes or dips in results (which might average out over a wide band).

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Snap Survey Software How-to: Use Filters to Analyze Respondent Data

Learn how to use filters to analyze respondent data using Snap Survey Softwarefilter-survey-data 

Snap Survey Software provides the function of filters that users can use to limit the data that is displayed or analyzed. You can filter data so that:

  • it only includes the respondents you want (for example, creating a pie-chart showing the sports preferences of Canadian men between the ages of 25 and 35)
  • it does not include the people you don’t want (for example, excludes all men who like ice hockey)
  • it only includes people who have done things on a certain date or time (for example, watched ice hockey in November)

Filters allow you to limit the data you view. You can use the filter function when analyzing data by filtering it by respondents’ answers to one or more of the questions. You can also filter data by respondents who did or did not reply to certain questions, for example, you can select all respondents who wrote a comment.

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Snap Survey Software How-to: Apply Rim Weighting to an Analysis Table or Chart

rim weighting - survey analysisAre you familiar with Rim Weighting? If not, it can be a very useful function for analyzing survey data with Snap Survey Software. Rim Weighting provides an even distribution of survey results across an entire results dataset, while balancing certain categories, such as age or gender, to pre-determined totals.

How can you use Rim Weighting in Snap Survey Software? Let’s say you want to weight your respondent samples so they are 50% male and 50% female, and also 20% in each of five age brackets. The algorithm would calculate a weighting to be applied to each table entry (combining age and gender). Rim Weighting uses a mathematical algorithm to help users provide an even distribution of results across an entire survey results dataset. Continue reading

How-to: Use Patterns to Analyze Data in Survey Software

Use Patterns to process and analyze data using Snap Survey Software

patterns-survey-softwarePatterns are a powerful tool to validate literal comment questions in Snap Survey Software. Patterns can be used to examine survey data or to transform survey data.

When performing data entry on paper surveys, patterns are attached to a specific survey question to:

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Snap Survey Software How-to: Join Surveys

How-to: Join surveys using Snap Survey Software

join-survey-dataLast week, we discussed how to merge surveys. Today, we discuss how-to join surveys. ‘Joining’ is the process of connecting data cases together from different surveys to form a longer case using survey software. There are many situations that may call for joining surveys, for example:

  • Any survey, which refers to relatively static data held externally. For example, in a survey of restaurants in a fast food chain, it would be possible to have details of store size, location, and manager etc. held in a survey which is referenced by a “mystery shopper” survey. Continue reading

Improve Survey Data Quality with Respondent Engagement

Survey Data Quality Can Improve with Respondent Engagement

What is the effect of survey design on data quality? It is no surprise that questionable respondents (bad respondents from a sample) have an impact on the data quality of online surveys. In order to ensure the quality of research data, accurate-online-survey-dataresearchers must remove any questionable respondents. In addition and just as important, researchers must focus on designing surveys that keep respondents engaged. When researchers effectively use the many available design tools offered by their survey software solution, they are taking the necessary steps toward enhancing respondents’ experiences and the quality of data produced. Continue reading

Use Online Survey Software for Accurate Data Collection

Collect Accurate Data with Online Survey Software

Online survey software is a powerful survey tool for designing and administering online surveys, collecting and managing accurate data, and facilitating advanced analysis and reporting.  Maintaining highly accurate data is extremely important when determining strategies that affect your business, organization, association, or government agency. Survey data is used by businesses to formulate important strategies and make informed business decisions.accurate-online-survey-data It is used by educators to assess education outcomes through course evaluations, student evaluations, needs assessments, and longitudinal studies. Hospitals and medical practices use online survey software to collect accurate data to measure patient satisfaction, perform patient assessments, and conduct medical research. And local and national government agencies use online survey software to collect accurate data for social, policy, community, economic, and demographic research studies. Continue reading

11 Free Survey Software Webinars Available Now!

This is your ticket to view 11 free survey software webinarssurvey-software-webinar

Over the course of the summer, we ran a series of 11 free webinars concentrating on various functionality and features used in Snap Survey Software.  If you missed any sessions, you can watch all available webinars now!

Designing Engaging Online Surveys

Analyzing Satisfaction Survey Questions – Scores and Ratings

Measuring Staff Satisfaction and Employee Engagement

Derived Variables Explained – Calculate Online Survey Data Continue reading

Use Patterns to Process and Analyze Data in Survey Software

Use Patterns to process and analyze data using Snap Survey Software

Patterns are a powerful tool to validate open-ended questions in Snap Survey Software. Patterns can be used to check data or to transform data.

In data entry, patterns are attached to a specific variable to:

  • Ensure that respondents or data entry personnel enter the correct format for information such as postcodes, survey-data-patternszip codes, or other numeric fields. Snap Survey Software looks for a similarity between what has been typed as the answer to a question, and what has been specified as a possible match in the pattern.
  • Convert question data into a standard format even if it has been entered in an unsuitable format, such as pound or dollar signs being included in quantity data. Continue reading

Recap: Survey Data Analysis – Rim Weighting Explained with Survey Software

Did you miss our free webinar on Rim Weighting Explained with Snap Survey Software? This FREE webinar is part of our Snap Summer Camp 2012 series. If you missed this webinar, want to watch it again, or share it with your colleagues, you can access it here!

Free Webinar: Rim Weighting Explained with Snap Survey Software 

>> Watch this webinar now! 

Do you know what rim weighting is? Rim weighting provides an even distribution of survey results across an entire results dataset, while balancing certain categories, such as age or gender, to pre-determined totals. Continue reading