How to Carry Out One Way ANOVA on SPSS
SPSS stands for Software Package for Social Sciences. Since social sciences are hard to quantify as compared to other sciences; therefore, this software allows you to quantify responses from the people which can be recorded through interviews, surveys and questionnaires. Once you have all the responses, you can give them a certain number and this software can help you analyse them on the basis of stats. You can check whether there is a difference of opinion between people or not. One Way ANOVA is used when there are more than two independent or unrelated groups and they have gone through the same thing and you want to check how those different groups have reacted. For instance, you can test how a certain test was given by people with different anxiety levels. You can divide the groups into three: low, medium and high anxiety levels and then you can test through One Way ANOVA whether there is a difference amongst the test performances or not.
Instructions
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1
In order to carry out One Way ANOVA on SPSS, you must first enter the data. Go to data view and write down all the data under the variables. You don’t have to label the variables yet; you can simply enter the number 1, 2 and 3 for the three different types of groups and write down their marks in front of the group number. Every individual must be treated separately.
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2
After you have written the data, move to variable view. You will notice that there are two variables on the top. First treat the variable which consists of the three types of groups. Move to values and assign a value to the three types of people who have given the test. Assign 1 for low anxiety level people, 2 for medium anxiety level and 3 for high anxiety level. After the values have been assigned, move to the type of data and make it nominal.
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3
After you have assigned names to your variables, it is time for you to carry out the test. Go to analyse on top of your screen, move to compare means and click on One Way ANOVA, which is the last option. In the options section make sure that the significance level remains 0.05 and you can do this by putting 95% in the editing section.
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4
Once you receive the answer, you can easily analyse whether there is a difference between the people you have tested or not. Simply check the significance level, whether it is less than 0.05 or not. If it is insignificant, then simply accept the null hypothesis.
