The Sign test is a non-parametric test that is used to test whether or not two groups are equally sized. The sign test is used when dependent samples are ordered in pairs, where the bivariate random variables are mutually independent It is based on the direction of the plus and minus sign of the observation, and not on their numerical magnitude. It is also called the binominal sign test, with p = .5.. The sign test is considered a weaker test, because it tests the pair value below or above the median and it does not measure the pair difference. The sign test is available in SPSS: click “menu,” select “analysis,” then click on “nonparametric,” and choose “two related sample” and “sign test.
Questions Answered:
Which product of soda (Pepsi vs. Coke) is preferred among a group of 10 consumers?
Assumptions:
Aligning theoretical framework, gathering articles, synthesizing gaps, articulating a clear methodology and data plan, and writing about the theoretical and practical implications of your research are part of our comprehensive dissertation editing services.
Types of sign test:
Procedure:
Sign test in case of large sample:
SPSS:
Available in nonparametric tests, the following steps are involved in conducting a sign test in SPSS:
Select the first paired variable and drag it to the right side in variable 1, and select the second paired variable and drag it to the right side in variable 2. Select the “sign test” from the available test. Click on “options” and select “descriptive” from there. Now, click on the “ok” button. The result window for the sign test will appear.
In the result window, the first table will be of the descriptive statistics for sign test. These will include the number of observations per sample, the mean, the SD, the minimum and the maximum value for sign tests in both samples. The second table shows the frequency table. This will show the number of negative sign, the number of positive sign for the number of ties, and the total number of observations. In SPSS, the following table will appear for the descriptive table and frequency:
The third table will show the test statistics table for sign test. This table shows the value of Z statistic and the probability value. Based on this probability value, we can make our decision about the hypothesis. For example, if the probability value is less than the significance level at .05, null hypothesis will be rejected. If the probability value is greater than the significance level, then cannot reject the null hypothesis. The following table will appear for the test statistics:
*Click here for assistance with conducting the sign test or other quantitative analyses.
Related Analysis:
Statistics Solutions can assist with your quantitative analysis by assisting you to develop your methodology and results chapters. The services that we offer include:
Edit your research questions and null/alternative hypotheses
Write your data analysis plan; specify specific statistics to address the research questions, the assumptions of the statistics, and justify why they are the appropriate statistics; provide references
Justify your sample size/power analysis, provide references
Explain your data analysis plan to you so you are comfortable and confident
Two hours of additional support with your statistician
Quantitative Results Section (Descriptive Statistics, Bivariate and Multivariate Analyses, Structural Equation Modeling, Path analysis, HLM, Cluster Analysis)
Clean and code dataset
Conduct descriptive statistics (i.e., mean, standard deviation, frequency and percent, as appropriate)
Conduct analyses to examine each of your research questions
Write-up results
Provide APA 6th edition tables and figures
Explain chapter 4 findings
Ongoing support for entire results chapter statistics
Please call 727-442-4290 to request a quote based on the specifics of your research, schedule using the calendar on this page, or email [email protected]