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Don’t learn SPSS. Nobody worth any salt uses it in industry. It’s a waste of your time to learn it. The only reason you’d need to learn it is if you’re doing research into psychology (even then, R is better) or education “research” (where I had to use it).
Using SPSS for data analysis in research has limitations highlighted in the literature. One major issue is the inconsistency in results produced by different statistical packages like SPSS, SAS, Stata, and R due to algorithmic variation and computational errors, impacting result reproducibility.
8 paź 2021 · It is necessary for researchers, especially new researchers to know the ins and outs of SPSS as to why they should use it. This study expressed the arguments from personal experiences of using...
23 lut 2024 · The decision between statistical analysis tools like R and SPSS is crucial for researchers and analysts. Here's an overview of the pros and cons of these two tools: R: Pros: Free and open-source, comprehensive statistical analyses, large community, flexible and customizable.
14 lut 2022 · So, let’s move directly to our reasons to use SPSS for PhD data analysis and research. 1. Efficient Analysis of Scientific Data. SPSS (Statistical Package for the Social Sciences) is one of the...
A research proposal should address analysis, a simple sentence "data will be analysed using SPSS" may pass the buck to SPSS but won't help much when you refer back to your plan. You should have an eye on the analysis when designing the questionnaire.
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