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Known for streamlining the process of data collection, a side by side matrix enables researchers to gather data from respondents in multiple dimensions (2 or more maybe). To effortlessly gauge the feedback and opinions of the respondents, side by side matrix comes with columns that are further classified into subcolumns for efficiently collecting information. The answer choices are displayed in rows and the respondents need to choose a particular option from the subcolumns. This empowers researchers to develop an in-depth understanding of a specific topic by uncovering insights into its numerous characteristics.
A side by side matrix is an advanced question type used for obtaining accurate data by offering multiple variables to the respondents. This question type is highly preferred in cases where there are multiple questions related to one another. As the answer options are similar, so adding a side by side matrix enables researchers to create one grid with all questions instead of asking different questions for correlated subjects. Thus, adding a side by side matrix helps to minimize repetition. Moreover, it helps to analyze the preferences of respondents effectively. By gaining insights into their opinions, it helps you collect rich data and analyze the gaps in each attribute of your product/service.
Data collection simplified: By collecting data for multiple variables in one question, using a side by side matrix question helps to streamline the data collection process to a great extent.
Short and crisp surveys: Using side by side matrix helps researchers avoid repetition of the interrelated question types. By minimizing the same set of rows, it helps to reduce the survey length, thereby making it more crisp and concise for the respondents. This helps to deliver more comprehensive information in less space.
Less time consuming: By giving respondents multiple related options altogether, they don’t need to invest their time going through the interrelated questions. This helps them to finish the surveys quickly which also reduces the survey dropout rate.
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