I found several software for performance evaluation and improvement like SPSS, AMOS,ANOWA, SEM, T Test for single and Multivariate Etc. I want to choose my local region industries like in Madhya pradesh, India and will take various parameters for performance improvement then what should I do? please help me.
There is no quick fix for this. If you have a first degree you need to enrol on a Masters degree in business and study human resource subjects as well as business statistics or research methods. Whatever software is employed by the latter may be best for you to adopt.
only good quality Masters courses in business will facilitate SEM study using SPSS and AMOS (usually reserved to final stages of a Masters - before dissertation).
what might be allowable is a short course route on Multivariate analysis and SEM for business or doctoral students, however such courses may require a basic knowledge level pitched at masters level. You would need to overlay with a fairly good level of human resources theory.
thank Robert sir. i want to use these software for my PhD research work.
I have just run a course for doctoral students on progressing from multiple regression and factor analysis to SEM. On that course we used SPSS 21 and AMOS 21. Note. AMOS does not run on a Mac but it can if you partition the drive and install windows on the partition (use bootcamp or parallels).
I feel that each tool or software serve different purpose of analysis. First of all you may need to finalize the research question properly with more more depth on what kind of analysis you wish to show through your study and accordingly tool can be finalized. However just to add a tool in the above list, you may also consider Data Envelopment Analysis wherein it is used to compare and benchmark the best performing industries on the basis of common set of inputs and outputs for each industry.
It is good to know various software tools that can perform different / overlapped quantitative data analyses. However, don't let the tools dictate how we conduct a research. In quantitative research context, a research should be driven by the research problem, then research objective(s) or research question(s), conceptual framework / research model, hypotheses then research method. E.g. if a research model consists of few Independent variables (IVs) that are individually & directly influencing SME's performance improvement, then SPSS multiple regressions can be used. If your research objective is to comparing the performance improvement etc across different groups of SMEs, then SPSS ANOVA etc can be adopted. If your research model is getting more complex e.g. consists of many IVs interconnected with arrowed-lines in different layers and point to one or more than one dependent variable (DV) then SEM like SPSS AMOS, SmartPLS etc can be used. In summary, research problem dictate research model then dictate research method and lastly the statistical software tools that we should adopt. Wishing you all the best.
SmartPLS is one of the leading software tools for partial least squares structural equation modeling (PLS-SEM). You can check the book on PLS-SEM written by Hair et al titled "A Primer on Partial Least Squares Structural Equation Model (PLS-SEM)". This software is much easy to use and should serve your purpose.
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Statistics
- Statistical Software
- SPSS