Response Roles

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Consumer Research • Categorical Response Analysis • Launch the Categorical Platform • Response Roles

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The launch window includes tabs for three specific types (or categories) of response roles (Simple, Related, and Multiple) and a Structured tab where you can create custom data summaries. The response role corresponds to the type of responses you want to analyze. Options on each tab correspond to how the responses are organized in your data table.

The Simple tab contains an option for the analysis of results that are contained in a single column.

Adds one or more columns to your analysis. If multiple columns are selected, the categorical report contains a report for each individual column.

The Related tab contains options for the analysis of a set of related columns.

Aligned Responses

Summarizes data from multiple responses with the same response levels in a single report. This option is useful for survey data when you have many questions with the same set of responses. You can quickly summarize and compare response trends for all of the questions at once.

Repeated Measures

Summarizes data from multiple columns where each column contains responses made at different time points. When an individual responds at multiple time points, the samples are called overlapping. When there are overlapping samples, the Kish correction is used. See Kish (1965, sec. 12.4).

Rater Agreement

Summarizes data from multiple columns where each column is a rating for the same question, but by different individuals (raters).

The Multiple tab contains options for the analysis of multiple responses recorded in one or more columns. A set of multiple responses could be from a survey where the response set allows for more than one choice (check all that apply questions). Another source of multiple responses is defect data where an item can have multiple defects. The options on the multiple tab are specific to how the data are organized in your data table.

Multiple Response

Summarizes data from multiple columns where each column contains one response. The number of columns selected is the maximum number of responses for a single row. There can be many blanks in the columns.

Multiple Response by ID

Summarizes data from a single column of responses with a second column containing an ID for the subject or part. This data structure can be thought of as a stacked format.

Multiple Delimited

Summarizes data from a single column that contains multiple responses separated by a comma, semicolon, or tab.

Indicator Group

Summarizes multiple responses that are stored in indicator columns. The data table has a column for each possible response, and each column is an indicator (for example, 0 and 1).

Response Frequencies

Summarizes multiple responses that are stored in columns with frequency counts. This data format is the summarized version of the Indicator Group format.

Summarizes text data. The Free Text option launches a Text Explorer report inside the Categorical report window. See Text Explorer in the Basic Analysis book.

The Structured tab enables you to construct custom tables of summary statistics.

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Create side-by-side, crossed, and nested data summaries with the interactive table builder. The Structured table considers the innermost terms on the side of the table as responses and all other terms as grouping factors.

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Create multiple tables in a single the launch window.

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Use delimited multiple response columns when the column modeling type is set to Multiple Response. For more information about column modeling types, see Multiple Response in the Using JMP book.

See Example of a Structured Report.

Tip: Use the Structured tab to test for response homogeneity with multiple response data.

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Help created on 3/19/2020