IBM SPSS Statistics

Simply best for analysis

Best for large data set using Likert scale base questionnaire

It was used for numerous statistical analysis smoothly

programming language may be added

Output as figures, like different types of charts, may be improved.

A customized price plan is possible.

Statistics analytics tools.

Data visualization ability is very reliable.

Budgeting features.

Data recovering functions.

Just on processing big volume of data the process can be slow.

Recovering multiple big data.

Configuration of Cloud options when new to the tool.

classify results using neural network models

allows sharing analysis data in the company

allows testing theories before production

highly complex systems for certain employees

requires prior knowledge

Productive Data Management Tools

Easily usable interface for academicians, researchers and others

Giving users access to some features for free at first and allowing them to customize pricing options would be advantageous to academics, researchers, and students in developing nations as well.

Graph-related output may improve.

Easily enables a range of statistical tests and procedures

Easy-to-use interface

More simple to learn for beginners

Limited options for performing bespoke types of analysis

Limited options for customising data visualisations

Can be laggy with large datasets

No code, user friendly statistical analyses

Wide range of statistical methods offered

Intuitive graphs and tables

Offer HLM and latent growth curve modelling

Exportable, neatly formatted correlation matrices

Easy to use.

Don't need a lot of data prep to manipulate the data or clean it.

Running a bit old in the UI.

Comes with various in-bulit algorithms for easy apply

Data Analysis and deriving outcomes

End-to-End Statistical procedures within the same Software suite

Easy to use Interface

First time setup of software has glitches, i.e. infinite sign-in loop.

Need to purchase add-ons separately for advanced algorithms and features.

UI looks outdated.

Predictive Analysis.

Data Management.

Various statistical tests.

UI is clunky.

Digital collaboration.

Integration with other tools.

Easy to use

Output appears as pre-made tables

Intuitive GUI system

Can be easier to look at your dataset and each variable

More advanced analyses

Putting output in APA or other relevant formats

Ability to use/save syntax easily (replicability) relative to other systems

Cost

Mathematical modeling

Creation of self sustaining systems

Data manipulation

The flexibility of the reporting could be enhanced

Certain modules are not as user friendly as they could be

Allows you to view data in both its numeric and labeled form

Runs quick frequencies and crosstabs

Ability to write syntax for repetitive tasks

Licensing is a nightmare - whether purchasing a new license or trying to transfer an existing license to a new computer, it's a very difficult process.

[IBM SPSS] has a steep learning curve.

[Because it is a] data intensive program, [it] sometimes slows your computer down and crashes.

User friendly drop downs

Syntax text shading to help with formulas

Able to do simple to very complex statistical analysis

Good descriptions of errors when they occur

User support for learning

Better in-app experience to describe drop down selections

Data Entry

Analysis

Dashboard Creation

Graphical Representation

More graphs to draw various patterns

Ease of analysis

Storing more data

Simple quick data exploration

Building regression models

Quickly finding the reliability of questionnaires

Running parametric or non-parametric tests

It could have a more standard interface

It should be able to create nicer graphs and tables

Transforming variables view could be less clumsy

It could suggest which statistics or tests could be useful to the user in the options windows

conducting advanced statistical analysis (ANOVA, regression, etc.)

data management (cleaning, manipulation, transformation)

data visualization (creating charts/graphs/plots that are clear and insightful)

collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.

integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)

user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.

Handles my data set well when performing data analysis.

Script is easy to setup and use in SPSS.

There is a plethora of statistical tests there are available in SPSS.

It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.

It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.

My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.

Data Visualization

Predictive Analytics

Survey and Market Research

Acts up

User Interface

Data Conversion

Variable creation from data analysis

reduce time needed to analyze actionable data

very large data sets reduces IBM SPSS Statistics capabilities

some functions present usability difficulty

a more user friendly and robust dashboard

Descriptive statistics.

Select cases.

Recodes

Easier navigation of custom tables/crosstabs.

Better visualizations.

Easier to copy and paste tables and vizes.

Multivariate statistical analysis

Cross tab analysis using non-parametric tests of significance

Data analysis leading to data conversion and data cleaning

I've found some of the features do not change in functionality from version to version, but where to find those features does change from version to version.

Overly complex dialog boxes can make analysis cumbersome in my opinion.

The lack of the ability to turn on a real-world statistical coach can be problematic for less experienced users who don't understand the subtle differences between tests of significance or when to choose what analysis.

Generates results quickly

Easy to ready output

Easy to manage

Better documentation

Problem with complex billing process for an individual subscriber. Seems hard for IBM SPSS Statistics to understand that I'm on my own, not in a big organization. Most individuals are probably now using "R" instead of IBM SPSS Statistics, but my decades of using IBM SPSS Statistics make me more comfortable with it, even as I started off on IBM SPSS Statistics using punch cards. :-)

Logistic Regression should be in the base subscription level, particularly for education research. I was annoyed that I lost access to it between projects without any notice and had to pay more to get it back.

Cross-tabulation

In-built inferential analyses

Data cleaning

Predictive modelling

IMB SPSS lacks some advanced analytics, such as multivariate decompostion

Non-linear fair lee decomposition

Advanced Spatial Analyses

Moran's plot

Data manipulation

Syntax management

Graphs and figures

Price

Accessibility

Compatibility

Feature selection

PCA

Ensemble models

Reading how the model has been built

Reusing with Python

Can’t be reused with R