![]() ![]() GNU PSPP can be downloaded from The R Project for Statistical Computing It can be used on Microsoft Windows, macOS, and Linux operating systems. GNU PSPP, a cross-platforms software program, can perform descriptive statistics, T-tests, ANOVA, linear and logistic regression, measures of association, cluster analysis, reliability and factor analysis, non-parametric tests and more. The software can be downloaded from GNU PSPP: Open-source Alternative to SPSS Gretl or Gnu Regression, Econometrics and Time-series Library is a software package for econometric analysis, written in the C programming language which is available on Microsoft Windows, Mac OS X, and Linux. So, here below are some open-source computer programs that academic & scholarly researchers and authors can use for free: Gretl: Gnu Regression, Econometrics and Time-series Library On the other hand, open-source programs generally come with no costs. While proprietary software programs are user-friendly and more polished, they come with a cost. Using open-source software may require more learning efforts than the proprietary software programs. Open-source software programs make their source code available to the public in an open and transparent manner. Academic & scholarly researchers, especially research students, may wish here to know about some useful, free and open-source software programs that they can use out of the box to perform data analysis for their researches/studies. ![]() Most proprietary software programs for statistical analysis are paid and costly. Free & Open Source Statistical Computer Programs They can be used to plot data, present data graphically, export data in a more reader/user-friendly manner, carry out statistical and mathematical calculations and output depiction. What do these statistical computer programs do? Processing data manually was more of a headache before we have statistical computer programs to do the job. The data more or less needs to be processed for certain statistical methods and models. The scholarly authors need to process a lot of data for their domain studies, because they need to draw relevant and considerate meanings out of this data. Based on psychometric, theoretical, cross-cultural, and practical considerations, the results support the use of the PSDQ in a wide variety of research and applied settings.Open Source & Free Software Programs for Data Analysis for Academic & Scholarly Researchersīy Editorial Staff, Writing Resources Centerĭata analysis holds prime importance for academic & scholarly researchers to support their findings and conclusions. (1994) with Australian high school students. Results based on this study with Turkish university students largely replicate and extend the findings of Marsh et al. However, support for the PSPP was undermined by extremely high correlations among several of its factors, due in part to a substantial method effect associated with its idiosyncratic response scale. In support of construct validity interpretations, matching PSDQ and PSPP factors were highly correlated. The sample, 1,041 Turkish university students in elective physical education courses from 10 Turkish universities, provided a test of the cross-cultural generalizability of responses to these two widely used English language instruments. The present investigation demonstrated cross-cultural support for convergent and discriminant validity of the Physical Self-Description Questionnaire (PSDQ) in a multitrait-multimethod analysis of relations with responses to the Physical Self-Perception Profile (PSPP).
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