IBM SPSS Statistics

It is a perfect tool for any type of dataset analysis that I need for my research project and works flawlessly when it comes to survey-related tasks. My supervised research student also used it for their survey-based research work efficiently and they got an outstanding result using IBM SPSS Statistics as well.

IBM SPSS Statistics is a great product on effective predictive analytics generation and to coordinate with other projects members via the platform is amazing. The ability to process a huge volume of different data and data cleansing functions are very useful and on my implementation of IBM SPSS Statistics the operation was easyand successful.

thanks to the fact that IBM® SPSS® Statistics is an incredible statistical software platform, we can make decisions in real time in our company. Its use is very intuitive and the price is relatively economical. Our main problem before acquiring the software was the large amount of data we had and that we did not take advantage of for decision making.

I used IBM SPSS Statistics to run a variety of statistical tests, both inferential and descriptive, for my research work.

Correlations and regressions are just two important aspects of IBM SPSS Statistics commonly used by my supervised students in their thesis papers. I quickly find insights and produce useful recommendations with the help of IBM SPSS Statistics data analysis tools.

IBM SPSS Statistics enables my organisation to address a range of data analytics challenges. We frequently use it for interrogating datasets, generating descriptive statistics, performing a range of hypothesis tests, and creating data visualisations. In my business area we tend to use it for regression modelling, particularly using the multiple linear regression and binary logistic regression approaches.

Run regression analysis on small and large data sets with adjustable CI. I have been using this for many years, and the modeling has been helpful in the predictors; yes, the output is basic but that is what makes this nice and clean, and it can be imported to reports easily and presented well on a slide deck.

IBM SPSS Statistics addresses critical business problems for my UX research team, providing helpful capabilities for analyzing quantitative data from user research studies. SPSS allows us to process and interpret large datasets, translating insights into user behavior, preferences, and trends. It allows us to make data-driven decisions to enhance our products. Our use case encompasses various stages of the user research/design process, including survey design, data collection, and analysis. SPSS enables us to efficiently clean data, perform statistical analyses, and generate clear and insightful visualizations to communicate findings effectively to stakeholders. Leveraging SPSS, we can streamline our research workflow, accelerate the pace of insights generation, and ensure that our design decisions are validated by data.

I use IBM SPSS Statistics for research purposes. I run data analyses such as regression, t-tests, and ANOVA. I added a PROCESS module to run additional analyses in SPSS, such as moderated mediation analysis. In addition, I added the SPSS AMOS to run structural equation modeling (SEM) analysis to test relationships between latent and observed variables.

IBM SPSS Statistics was chosen to reduce the time data analytics is completed. The results has allowed us to use predictive analysis allowing teams to work more efficiently to solve issues. IBM SPSS Statistics is solid when working on complex analysis allowing for data to saved for validation testing or examples on the ability of IBM SPSS Statistics.

Analyzing large datasets from surveys we've conducted on all students. Crosstabs, frequency tables, and exploratory data.

At our institution we use IBM SPSS Statistics to support classroom learning and for insights and data analysis that support administrative decision making. In the classroom we use IBM SPSS Statistics in courses as varied as MAT 221 Probability and Statistics for the Behavioral Sciences and a variety of applied research classes within the psychology department. In addition, IBM SPSS Statistics is used frequently to support complex data analysis for both undergraduate honors and graduate business courses and research.

I am a currently an independent consultant with a contract with a nonprofit organization where I had worked for almost 30 years as a researcher or as an IT director. I also have 10 years experience as an Institutional Research Director at a large urban community college, from which I retired 4 years ago.

I work in a research project which is based on the clinical trial (RCT) in public health. This project collects data of various trial participants, especially men and women. The data includes various socio-demographic information, such as; age, gender, marital status, work status, place of residence (rural/urban), city, state and components of wealth index. In addition to socio-demographic information, the data also includes information on bio-chemical characteristics of the participants. I use IBM SPSS Statistics in order to clean, edit, labelling of variables and data analytics. Pros of IBM SPSS Statistics · Easy to handle without specific training · The visualization of data through various statistical graphs (such as; bar-diagram, pie-chart, scatter plot and other graphs) is easier . Testing of various statistical hypothesis is easier using mouse based options · The software also provides options to check and remove missing values · One can also do predictive modeling using IBM SPSS Statistics such as; linear regression, logistics regression, multinomial regression Cons of IBM SPSS Statistics · mostly works on in-built functions within the software, so an advanced analysis, such as; multivariate decomposition, non-linear decompositions and other advance analytics aren’t feasible · Some machine learning aspects, such as density based spatial clustering of applications with noise, moral plots, LISA cluster mapping etc., cannot be produced using IBM SPSS Statistics

IBM SPSS is being used at my organization by the Organizational Performance Department. We use it to evaluate our programs and to research topics in the social services area. Results are then used in presentations, publications, and shared with our program directors to create action plans for organizational and program improvement.

IBM SPSS is currently be used by the research department in our organization. We are in the business of public opinion research so we need software that can analyze data, run statistical analysis, and also process data. It helps our organization make informed decisions based off of the data and other inputs.

We use IBM SPSS for data visualization and analysis. It is a good tool for analysis of things like regression, both linear and logistics. What sets it apart for our organization is the use we have for it creates multiple tables with varied parameters and features. It does all the required functions for data analysis, especially for our survey processes that we provide to the client; it lacks the data collection module, though.

We use SPSS in our research (couples program) and in a better understanding of our program development (MCAT). We provide mental competency to stand trial training and it is imperative that we monitor and track each person's progress to ensure that the program is working in increasing competency of the people enrolled in the program. We use the SPSS program to better understand our hiring procedures as well as marketing practices.

Currently IBM SPSS is being used in many different areas. Our faculty employ it to handle data for amazing research. Our students are being exposed to it to help prepare for their real-world jobs. As a staff member, we enjoying its functionality when handling business duties.

I use IBM SPSS as a student and it is used by students and instructors in the PhD programs. It is used for research analysis by both instructors and students in various classes, as well as in personal data collection and presentation for dissertations. Since it is the major tool used for data analysis, it allows teachers and students to be on the same page and to also easily find resources to help when they need answers.

SPSS is available throughout my organization. It's mainly used by faculty, staff, and students in the analysis of data.

We use IBM SSPS both as a department wide tool and within our smaller lab group. It is primarily used to handle larger statistical analysis problems than can be handled with more simple programs such as Microsoft Excel. The geospatial aspects of it are especially useful and are accessed very regularly.

SPSS is used only within our Member Insights Department and is used as our primary quantitative analysis tool. We use SPSS to handle all of our survey data needs, except for data collection. We use it to extract data out of our membership SQL database, pull a random sample of relevant members, match up to our collected survey data with relevant stored member data, and analyze the survey results to include in our reports and presentations. Our analyses always include descriptive measures (frequencies or means/medians), often include inferential measures (e.g., chi-square, ANOVA), and less frequently predictive measures as well (e.g., logistic regression).

As an IT professional in the Student Affairs division of the California State University system, I recently had the opportunity to undertake a data research project examining the impact of computer- vs. paper-based administration on writing proficiency assessment scores, across a large number of demographic dimensions. Being fortunate to have access to a very large number of cases (greater than 40,000), I needed to upgrade from spreadsheet statistical analysis packages to a professional statistical product -- both to expedite the overall number-crunching, but importantly to take advantage of automation opportunities such software packages can provide. I chose SPSS as it enjoys substantial support on my campus.

IBM SPSS is an analytics software, also used for data mining that enables users to conduct basic and advanced statistical analyses. I used SPSS departmental for a period of time to facilitate a team outside my main organisation to cross-validate results coming from different tools. The platform proved quite easy to get used to and the simplicity of the software made the research convenient.

We use IBM SPSS for our small start-up business. It helps us see where we started, what we have accomplished, what we need help on, and what is expected to occur next, according to our data.