Updated: Feb 14
Data is the backbone of any research paper or dissertation and is an important tool in a researcher's arsenal. The data collection methods used by researchers depend on the nature of their research topic. For example, if you are studying consumer behavior then you would need to collect data using surveys, observations, and experiments.
You can use various tools such as SPSS, Excel, NVIVO, STATA, SAS, or any other. In this article, we will have a look into SPSS and how to use it for your research’s data analysis.
What SPSS Can Do With Data?
SPSS or Statistical Package for the Social Sciences was developed in 1968 by SPSS Inc. and is quite a famous software used in research for 50 years. It is designed to check data, derive results, analyzes data, and create statistical reports. It helps people make sense of their research data and thus enables them to draw meaningful conclusions from the entire procedure.
It can also be used by social scientists in surveys, experiments, and observational studies. SPSS is used by scientists and researchers across the world, including many of the leading universities and scientific institutions (Arkkelin, Daniel, 2014)
So, How Does SPSS Work?
SPSS can be used to answer the question of “why” in research. The ability to get this type of information from your data is one of the reasons that scientists and academic professionals love using SPSS. You can also use SPSS to identify patterns and trends, which can help you predict future outcomes in your niche.
SPSS helps you in understanding the relationship between the variables. The data analysis process in SPSS usually involves three stages:
SPSS is mostly used for the second stage: Data Processing. In this stage, you will import your data into SPSS, separate it into groups, calculate new variables, and create graphs to summarize your data in a meaningful way.
SPSS offers six major functionalities to help researchers with their complex data analysis (Alchemer, 2021). These are:
1. Modeler Program
SPSS's Modeler program empowers analysts to construct and approve predictive models utilizing progressed factual methodology
2. Statistics Program
SPSS's Statistics program gives plenty of fundamental measurable capacities, some of which incorporate frequencies, cross-arrangement, and bivariate insights.
3. Visualization Designer
SPSS's Visualization Designer program permits scholars or researchers to utilize their information to make a wide assortment of visuals like density charts, histograms, and spiral box plots from the available information easily.
4. Data Management
Additionally. SPSS enables researchers to manage their data or information on the board, which permits scientists to perform case determination, infer information, and perform document reshaping.
5. Surveys Program’s Text Analytics
SPSS's Text Analytics for Surveys program assists surveys administrators with revealing strong bits of knowledge from open-ended survey questions’ responses.
6. Data Documentation
SPSS additionally offers information documentation, which permits scholars to store a metadata word reference. This metadata word reference goes about as a unified archive of data relating to the information, like meaning, connections to different information, origin, utilization, and format.
SPSS 1:1 Research Assistance
It can be daunting for new users who are not familiar with the interface and terminology of SPSS to learn to use it on their own in their research. For this reason, The Scholars Professional Editing Group has launched SPSS 1:1 Research Assistance Program. We provide qualitative, mixed-method, and quantitative data analysis and related services designed to help doctoral candidates better understand their data, write their dissertations more effectively, and defend their findings.
Our statistics work 1:1 with the student, walking them step by step and navigating the student through the entire data analysis process to completion. The data analysis process has flexible scheduling and is completed in 1-2 weeks.
This program is divided into 3 phases described below:
Data Importation, preparation, organization, and scoring.
Data screening and analysis.
Data visualization, result report, sample write-up template, narrative submission review.
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Arkkelin, Daniel, (2014). Using SPSS to Understand Research and Data Analysis. Psychology Curricular Materials. Retrieved from:
Alchemer. (2021, May 21). What is SPSS, and How Does it Benefit Survey Data Analysis? Retrieved from: