Using SPSS for research and data analysis

Alili, Agron and Krstev, Dejan (2019) Using SPSS for research and data analysis. Knowledge – International Journal, 32 (3).

Text KIJ, Vol. 32.3 (2).pdf Download (1MB)

Abstract

There is no question that business, education, and all fields of science have come to rely heavily on the
computer. This dependence has become so great that it is no longer possible to understand social and health science
research without substantial knowledge of statistics and without at least some rudimentary understanding of
statistical software. The number and types of statistical software packages that are available continue to grow each
year. In this paper we have chosen to work with SPSS, or the Statistical Package for the Social Sciences. SPSS was
chosen because of its popularity within both academic and business circles, making it the most widely used package
of its type. SPSS is also a versatile package that allows many different types of analyses. transformations, and forms
of output - in short, it will more than adequately serve our purposes. The SPSS software package is continually
being updated and improved, and so with each major revision comes a new version of that package. In this paper, we
will describe and use the most recent version of SPSS, called SPSS for Windows, in order to use this text for data
analysis, your must have access to the SPSS for Windows software package.
The capability of SPSS is truly astounding. The package enables you to obtain statistics ranging from simple
descriptive numbers to complex analyses of multivariate matrices. You can plot the data in histograms, scatterplots,
and other ways. You can combine files, split files, and sort files. You can modify existing variables and create new
ones. In short, you can do just about anything you'd ever want with a set of data using this software package. A
number of specific SPSS procedures are relevant to the kinds of statistical analyses covered in an introductory level
statistics or research methods course typically found in the social and health sciences, natural sciences, or business.
Yet, we will touch on just a fraction of the many things that SPSS can do. Our aim is to help то become familiar
with SPSS, and we hope that this introduction will both reinforce our understanding of statistics and lead us to see
what a powerful tool SPSS is, how it can actually help you better understand your data, how it can enable you to test
hypotheses that were once too difficult to consider, and how it can save our incredible amounts of time as well as
reduce the likelihood of making errors in data analyses. We show how to create a data file and generate an output
file. We also discuss how to name and save the different types of files created in the three main SPSS windows. This
paper will present a software presentation from a survey on socio-economic and environmental research.
Keywords: SPSS, statistics, social sciences, natural sciences, business

Item Type:	Article
Subjects:	Natural sciences > Matematics Engineering and Technology > Mechanical engineering
Divisions:	Faculty of Mechanical Engineering
Depositing User:	Dejan Krstev
Date Deposited:	01 Mar 2022 11:12
Last Modified:	01 Mar 2022 11:12
URI:	https://eprints.ugd.edu.mk/id/eprint/29545

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