IBM SPSS Statistics

I use SPSS to combined datasets, easily modify individual cases, input quantitative data, collect/ modify qualitative data, and conduct quick parametric and non-parametric analyses.

I'm an instructor in the English Department and the IT/research tools staff in the Linguistics Lab. I use SPSS to analyze linguistic data and I also help students use the software. We use SPSS in our Linguistics Lab primarily for statistical analyses of social sciences data, especially related to Sociolinguistics and Teaching English as a Second Language.

In my workplace, we tend to gather as much data as we can about our coworkers. By doing so, there's plenty of data to be analyzed. Even more, I also do research and data analysis regarding client's briefings. As such, SPSS helps me analyze relationships among variables, by performing regression analysis, ANOVAs, etc.

IBM SPSS is used by our organization for data analysis and reporting procedures. We evaluate various social programs and use data to support social programming across the state and nationally. This gives us the tools to easily summarize data and find statistically significant information to share with our stakeholders, policy makers, and social service providers.

I use it to statistically analyse clinical research data for publication. I teach doctors to use it as well as academic researchers. I teach SPSS statistics to PhD students in a number of graduate schools, in the UK. SPSS is great entry to statistics and data manipulations for non-statisticians. It is simple to use with its online help manuals, only a click away.

SPSS is used in various pockets throughout the institution by both researchers and administration. It is far from the only statistical tool in use, but because many of the administrators were trained in colleges of education it is the most commonly used tool. Further, as a menu driven tool, the learning curve is easier for new users who enter administrative departments. Note that in MOST cases SPSS is being used as a desktop product.

I am a researcher and instructor at a large midwestern university. IBM SPSS is used across the campus by various disciplines for research. I use it for communication research to run statistics for content analyses, experiments, and survey studies. Overall, it has been a useful tool for running the tests that I have needed to run. It takes a few runs at it to fully understand the layout and functions, but it is easy to use once you get the hang of it.

I used SPSS for a semester as a student and explored it, as an individual, as an alternative to the current analytics software we are using. The business problems it can address are similar to other analytics software. SPSS is overall a powerful tool that can be used to for segmentations and regression analysis with their own 2-step segmentation analysis for segmentations.

At my current and previous organizations, SPSS was used primarily for data analysis, typically for small to medium sized data sets. From what I know, SPSS is one of several statistical software packages used at my current and previous organizations.

I use SPSS to analyze my research data and help students learn to use SPSS through student research projects. It is a very simple interface which makes it easy to use. The only complaint is the the graphs are not great and I use a different software to make graphs for my publications. Otherwise you can find it cited as the statistical package used in all of my work.

It is being used across the organization. IBM SPSS is used for analyzing quantitative data. Specifically within our department, it is used to conduct t-tests, various types of ANOVAs, regressions, and mediation/moderation analysis. It provides the opportunity to conduct statistically rigorous data analysis that can then inform trends in the field of marketing. We use it for publications in academic journals. The problem it addresses is identifying new ways to conduct marketing that are more effective than previous methods. By running experiments to look at product evaluations before and after marketing changes, we can use IBM SPSS to identify if one marketing tactic is better than another. It helps academics, students, and practitioners alike.

SPSS is used widely by the marketing research department, which supports the entire organization. It is used for extensive data analysis of survey data, including descriptive statistics, cross-tabulations and other ways of slicing the data, and statistical analysis. It is often used to supplement the analyses done by survey vendors as a way to do deeper dives and respond to follow-up questions by business managers.

I use SPSS Statistics 23 to complete and to guide personal as well as student research projects at the doctoral level. The entire graduate school has access to this software and most graduate students choose to use it in assignments and projects. We use it to analyze data and to teach research. In an educational environment, it is essential that students be provided guided experiences when learning about statistical analyses. For many graduate students, a capstone project, doctoral study, or dissertation is their first opportunity to do independent research. Across our university, SPSS is the go-to software that we provide access to and that we recommend for student researchers. It provides a uniform platform for educators and students alike to explore different analyses and learn to interpret their findings and results. As there are many ancillary supports and guides available, it is easy to find tutorials or support for students (or colleagues!) that may need guidance in using SPSS or in learning a new analysis.

SPSS was used as the sole source of data collection, management, tracking, and analytics. It was used in the research setting, anyone needing to conduct or manage a research project was given access to the software. It addressed all issues of data management for research. All users were also provided learning materials and resources on the capabilities of the software.

IBM SPSS is used by the staff of the department of research for analysis of data from our surveys and educational activity (program) evaluation projects. RSNA is a medical association of radiologists in the business of providing continuing education to our members and the radiology community in general. We conduct numerous surveys throughout the year (needs assessment surveys, journal readership surveys, member benefit surveys, educational activity pricing surveys etc.) and use SPSS to analyze the data. SPSS is also used to analyze the participant feedback surveys from our continuing education activities.

SPSS is only used in the Market Research department at this time. The business problems it addresses are: used as a data warehouse, used as a reporting tool, used as an analytical tool, calculates market size and market share, tracks and reports on construction activity at micro and macro levels, forecasts business KPIs and Leading Economic Indicators, tracks and reports on business activity from across the entire enterprise, feeds the GIS and sets up the datasets used for spatial analysis, general reporting of tables, charts and graphs.

Many of the professors who teach Introduction to Statistics at Grinnell College choose to use IBM SPSS as the primary statistical package for the course. SPSS is a software that fits very well with the curriculum of Introduction to Statistics. In particular, as an intro course, students enter the class from a variety of different academic disciplines. Since students are encouraged to explore their own interests in relation to topics covered in class, it is essential that SPSS is able to give them an accessible platform to do so. Furthermore, the learning curve for SPSS is relatively quick. As a student in the course, within the limited time of a semester, I learned to comfortably manage a data set in SPSS and even began to use it for my own research interests.

The majority of researchers in our Department utilize IBM SPSS. It is also commonly used in other departments across campus.

It is used by a limited number of individuals in the department. It enables us to electronically organize, store, and analyze all sorts of data. It's fairly user friendly, especially for individuals that don't know how to code in programming languages. You can run high levels of statistical analyses using SPSS, test hypotheses for your research using SPSS, create graphs, etc. You can learn valuable descriptive information about an entire data set or about a single variable. Also, it's easy to create new variables using your existing data or perform transformation on problematic variables. You can use SPSS to see if existing data meets basic assumptions in order to conduct certain statistical analyses on the data.

Working at a university, we have certain analytic products that are available to us for free. Last year, we had an open license to SPSS. That changed as of this year and now only one person on our team may have it downloaded, but SPSS has been used multiple ways by us. We use it for internal reliability and validity analysis of survey data. SPSS is fairly easy to use on this front: writing and running code in its Syntax window is straightforward and user-friendly.

In terms of data cleaning (which is needed for our type of analysis) SPSS is not ideal. Handling and cleaning large datasets is better done in Excel and then imported into SPSS. This is because SPSS recognizes a row of data as one entity (or in our case "respondent"). Once the data is imported in, you are constrained to what SPSS can't "see" or understand about your data that other analytic programs might be able to.

SPSS is a great starting point for statistical analysis, and it is used across the university in most basic statistics courses.

I used IBM SPSS during curriculum. I preferred using SPSS for data cleaning, predictive modelling and statistical analysis. IBM was used by department of university fro Data Mining. We handled many problem using the software most of them were from Kaggle.

I have used IBM SPSS Modeler to build models in my department of customer analytics. This has helped my organization to come up with predictive models for different projects. For instance, I built a decision tree to categorize different customers and their behaviors which have proven results. Also, I have done descriptive analysis, data filtering, data cleaning, data merge and built many more models like regression, logistic regression, auto neural networks and much more.

I used a trial version of IBM SPSS, and I needed just the regression analysis part of SPSS. I wanted to find a proper model to fit my data, but I did not find SPSS helpful.

It is being used in a department. It is mainly used for analysing information that was gathered based on questionnaires.

It was recently discontinued as the license available expired following the departure of a BI manager. It was mainly used by myself as an attempt to provide statistical rigour using inferential statistics to problems which were usually only approached using descriptive statistics. It was not widely used across the organisation and only in Marketing/Bi as far as I am aware.