The aim of my study is to understand the willingness of enterprises in accepting AI-based writing or are they inclining more towards a traditional approach of manually having their content written. I used a quantitative approach, and sent questionnaires to people in various enterprises from various industries.
Which spss test should I use to analyze these:
1) Which industry is more accepting and willing to adopt AI-based writing.
2) Which job level in enterprises are willing to accept and adopt
3) Which job level is willing to allocate more budget
4) What are the main difficulties faced by people in writing
5) What are the current solutions people are using to face the above difficulties
This is my questionnaire: https://forms.gle/Mi2H81MteYbVxHwu9
First, there is no such thing as the SPSS test. SPSS is a program where you can perform many statistical tests (there are many such programs). Concerning your question, you can follow the basic steps outlined below.
1) Operationalize your study variables carefully (e.g., they could be categorical and/numerical).
2) Do the descriptive statistics (frequency and percentage for categorical variables, mean and SD for continuous variables). You will get a detailed picture of your data from the descriptive analysis.
3) For objectives 1 to 3, you can do either chi-square test/independent sample t-test/ANOVA depending on the nature of independent and dependent variables.
I hope this would be of help. Best regards.
Azharul Islam , alright noted. I really appreciate it, thank you so much for your response. Yes, sorry I meant to write SPSS statistical test but missed it out. So far I have done the descriptive statistics to check frequency and chi-square test. Will do the others that you mentioned as well. Thanks once again :)
Liyana I am very interested in working with you on this study! I will be back home in early Oct so contact me if you want help.
Here is some advice based on Strang, K.D. (2015). Selecting research techniques for a method and strategy. In KD. Strang (Ed.), Palgrave handbook of research design in business and management (pp. 63-80). ISBN: 978-1137379924. NY: Palgrave Macmillan.
For starters, there is an easy to use free statistics program like SPSS, more visual and also limited, but good for some aspects of your study I think.
After looking at your AI business usage survey, here are some observations,
1. You have many good 'outcome' or 'key interest variable' items, with three data types, ordinal, categorical, and a few open ended text types; each requiring a different type of statistical technique,
2. Some of your items would be grouping factors, which can first be analyzed by frequencies using chi square to determine let's say if there were significant differences of AI usage between industries, then in another follow up analysis you can test a second variable such as the budget with another chi square technique. Thirdly you can use industry as a grouping factor and test q9 " AI-based writing tools/software should be implemented in your enterprise? " using ANOVA or Kruskal Wallis technique.
2. Conditional logic can be applied using partial least squares, SEM, and other techniques, to answer more interest questions like is there a larger budget allocated depending on industry, willingness to use AI, and type of document (email etc.), for those planning to use AI (Q6).
Sounds fantastic! Ken
Liyana Shirin Akbar
Please also consult:
Paul Connolly (2007). Quantitative Data Analysis in Education: A Critical Introduction Using SPSS. Routledge.
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