:: Survey Scores - Free Statistics Software (Calculator) ::
All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.
This free online software (calculator) computes the following numerical scores for a matrix containing results of a survey:
- Ps = the sum of all strictly positive scores
- Ns = the sum of all strictly negative scores
- the arithmetic average of all scores (assuming a quasi interval scale)
- the ratio (Ps-Ns)/(Ps+Ns)
- Pc = the count of all strictly positive scores
- Nc = the count of all strictly negative scores
- the ratio (Pc-Nc)/(Pc+Nc)
You must use the same Likert scale for every question. The software computes positive and negative scores by first subtracting the median of the Likert scale from the raw scores. This ensures that the computed ratios (Ps-Ns)/(Ps+Ns) and (Pc-Nc)/(Pc+Nc) are always contained in the interval [-1,1].
The data matrix must contain subjects in rows and variables (questions) in columns. Missing data should be coded as NA.
Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!
Click here to edit the underlying code of this R Module.
|Cite this software as:|
|Wessa P., (2012), Survey Scores (v1.0.3) in Free Statistics Software (v1.1.23-r7), Office for Research Development and Education, URL http://www.wessa.net/rwasp_surveyscores.wasp/|
|The R code is based on :|
To cite Wessa.net in publications use:
Wessa, P. (2013), Free Statistics Software, Office for Research Development and Education,
version 1.1.23-r7, URL http://www.wessa.net/
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Software Version : 1.1.23-r7
Algorithms & Software : Patrick Wessa, PhD
Server : www.wessa.net