Avis clients sur IBM SPSS Statistics

Logiciel excellent pour l'analyse statistique des données

Commentaires : IBM SPSS me sert au quotidien pour des études d'enquêtes qui après le terrain les informations collectées sont entièrement traitées.

Avantages :

Il est possible de manipuler une variété de données à travers IBM SPSS. Il a un avantage de gérer la base de données même à partir d'un tableur Excel.

Inconvénients :

Le logiciel SPSS peut être difficile à l'utilisation lorsque vous n'avez pas reçu une bonne prise en main de ce dernier. Il est donc nécessaire de se faire former. Aussi je recommande de se procurer la version professionnelle pour avoir accès à toutes les fonctionnalité du produit.

Application pour une analyse statistique réussie

Commentaires : IBM SPSS m'a permis de saisir un questionnaire lequel j'ai fait des rapports d'analyse et l'analyse stattistiques

Avantages :

L'analyse statistique; les rapports d'analyse constituent une force pour le logiciel

Inconvénients :

Je ne trouve aucun inconvénients pour ce logiciel

Gets You Results with a Reasonable Learning Curve

Commentaires : I used this software for Market Research related applications and this helped me quickly complete the tests and save them as per how I wanted it.
In the projects I used it for, it gave out some interesting results and takeaways which helped in business planning.

Avantages :

1. It literally covers just so many options of tests, from regression to anova and much more. 2. It's like a one stop destination for all queries related to data 3. Can handle massive amounts of data and inputs

Inconvénients :

1. A manual/tips section within the software could have eased my learning curve to an extent. 2. UI/UX can be improved 3. High cost

Timeless IBM

Commentaires : IBM's predictive analytics and data SPSS statistics are among the most advanced statistical tools available on the market. With its powerful algorithms and intuitive user interface, it allows businesses to make informed decisions based on predictive analysis, trend forecasting and statistical modeling. IBM's software offers a comprehensive approach to data analysis that includes descriptive, predictive and prescriptive analytics, which can help businesses streamline their operations, reduce costs and gain insights into customer behavior. Overall, IBM's predictive analytics and data SPSS statistics is a powerful platform that can help businesses gain a deeper understanding of their data and make better decisions based on fact-driven insights.

Avantages :

IBM's Predictive Analytics and Data SPAS Statistics Pro are powerful tools for businesses to harness the power of data and make informed decisions. With predictive analytics, companies can analyze historical data to identify trends and generate forecasts, allowing them to anticipate future market conditions and make appropriate strategic adjustments. Meanwhile, SPAS Statistics Pro provides powerful tools for data analysis, allowing users to rapidly uncover insights and generate actionable recommendations. By leveraging these solutions, businesses can gain a significant competitive advantage, enhancing their ability to make data-driven decisions and achieve their strategic objectives.

Inconvénients :

IBM’s predictive analytics and data SPSS statistics flaw has recently come to light as concerns have been raised about the tool's ability to produce inaccurate results. This has caused businesses and organizations to doubt the usefulness of the technology, as it may lead to incorrect decisions being made based on the data produced by the software. IBM is working to address the issue and improve the accuracy of its predictive analytics and data SPSS statistics, but in the meantime, it is important for users to be aware of this potential flaw and approach their data analysis with caution.

Being in the field of Social Sciences is almost a requirement to get a complet analysis.

Commentaires : With SPSS it is possible to collect data, create statistics, analyze management decisions and much more. Gives the opportunity of doing complex analysis and take on prediction models.
The capacity of solving problems of applied statistics by brute force or by trying thousands of combinations to finally stay with what is believed to be the best for use.

Avantages :

The importance of capture and analyze data to create tables and graphs with complex data. Its ability to manage large volumes of data and carrying out text analysis amog other formats. Being able to use the statistical software, with descriptive statistics such as tabulation and crossover frequencies, and correlation tests. The program allows you to take your data and easily create a wide variety of visual effects such as radial boxplots and density graphs.

Inconvénients :

In more complex programs you need to have programming knowledge, as well as to make the most laborious calculations. In statistics, often contradictory results can be obtained between different tests. It does not provide the expected results in the expected time. It sometimes leads to unnecessary sophistication by allowing the use of complex techniques to answer simple questions. If the user does not have previous experience using SPSS or if their statistical knowledge is not up to date, it is difficult to understand which options to select. The results reports contain an excessive level of information.

SPSS Still best statistical application.

Commentaires : The greatest application I have worked on in statistics. Indeed nothing compared.

Avantages :

It is very easy to use unlike other applications. It is very specialized in its category and you do not need much time to understand how it works.

Inconvénients :

More ideas might be required to reflect dashboards as a result of the analysis. More diagrams maybe needs to be added to the application.

The history of statistics

Commentaires : This is the software that I use the most for my work and, even if at times I have to struggle a little to perform "new things", I always find a way. I managed to automate many many tasks and I have reached a very high level of productivity, meaning that I can click a button, let the computer run all nights, and the morning after I find all the jobs done.

Avantages :

The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.

Inconvénients :

This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.

Effective software platform which helps to perform statiscal analysis and Structured data entry task

Commentaires : Our organisation prepares insightfull reports and summary statistics with the support of SPSS, it benefits to the productivity of the projects and decision making process.

Avantages :

I have been using 32-bit version of IBM SPSS statistic software for more than 5 years to perform various statistical analysis and data entry purposes. It is a flexible software to analyze large set of tabular data compares to other products. It also provides the user-friendly platform to set up and carry out the data entries which can help to enter the data from the questionnaire surveys effectively. SPSS designed to support all required statistical analysis for decision making which range from descriptive statistical functions such as central tendency, distribution and shape to certain inferential statistical assessments. Obviously, SPSS software is a great option for statistical analysis and data entries to both academics and enterprise users.

Inconvénients :

In order to perform statistical analysis users must have the knowledge in scripting to operate the tools in SPSS (Especially in the desktop version). Cost is another drawback, however there are several options available including monthly subscription methods and academic editions.

User friendly

Commentaires : I really like this plataform and even with new plataforms, I still keep using it sometimes.

Avantages :

It is user friendly even for who is starting to learn statistics

Inconvénients :

That you have to repeat all analysis by hand, you cannot change what you did.

Good program to educate.

Commentaires : It is a very powerful software, which is very good to use it in educational centers for students. It has a good price, so it is a good option for independent statistical studies.

Avantages :

It has a simple and uncomplicated platform when learning to use it. It handles terms that were handled at my university and data can be exported from Excel.

Inconvénients :

Visually it leaves a lot to be desired, as in its graphics and its graphics edits are very slow. It should be more compatible with Micrsoft programs.

A Must For Psychologists

Avantages :

I like how easy I can collect my experiment datas and show a quick results of it.

Inconvénients :

It is such a complicated application I think it need more information about the skills that the app contains.

Great Tools For Academission

Avantages :

I use for my psychology bacholer program. I use especially the compare tools.

Inconvénients :

The tools are not expland very good and cannot find easily.

A Comprehensive Review of IBM SPSS Logistic Regression

Commentaires : BM SPSS Logistic Regression is a powerful software tool for data analysis and modeling, offering a range of benefits to users. While it may have some limitations, its user-friendly interface, modeling options, diagnostic tools, and reporting options make it a popular choice for researchers and analysts who are interested in exploring and modeling binary and ordinal logistic regression. However, it's essential to consider its limitations, including its cost, limited customization, steep learning curve, and lack of flexibility, when deciding whether it is the right tool for a particular research project

Avantages :

1. User-Friendly Interface: One of the most significant advantages of IBM SPSS Logistic Regression is its user-friendly interface. Users can easily navigate and analyze their data without requiring advanced technical skills.2. Robust Modeling Options: The software offers various modeling options, including binary, multinomial, and ordinal logistic regression models. This allows researchers to choose the model that best fits their research question and data.3. Effective Handling of Missing Data: IBM SPSS Logistic Regression offers various methods to deal with missing data, including multiple imputation and maximum likelihood estimation. This ensures that researchers can handle missing data effectively, which is particularly important when dealing with complex datasets.4. Diagnostic Tools: The software provides various diagnostic tools to assess model fit, including the Hosmer-Lemeshow goodness-of-fit test and the classification table. These tools help researchers to evaluate the quality of their models and make necessary adjustments.5. Output and Reporting Options: IBM SPSS Logistic Regression produces tables and charts that summarize the results of the logistic regression models. This makes it easy for researchers to interpret and communicate their findings effectively.

Inconvénients :

1. Cost: IBM SPSS Logistic Regression is a commercial software tool and can be expensive, especially for individual researchers or small organizations.2. Limited Customization: While the software provides various modeling options, it may not allow for the level of customization required for some research questions or datasets.3. Steep Learning Curve: Although the interface is user-friendly, there is still a learning curve involved in using IBM SPSS Logistic Regression effectively. This may require additional training or support.4. Lack of Flexibility: The software may not be as flexible as some open-source statistical software tools, which can limit its usefulness in certain research contexts.

Complete your research with SPSS !

Commentaires : As a doctoral researcher in economics and international trade, I recently relied on the SPSS program to analyze the questionnaire for my research on freelancers in Algeria, where this activity is not officially recognized, so the only way to access the data of this category is the questionnaire, SPSS allowed me to present reliable results for this research, which is very important for the Algerian economy and to come up with recommendations to adopt this activity officially and legally to improve the performance of the Algerian economy, especially in the aspect of exporting digital services

Avantages :

In fact, unlike many other statistical programs, I consider that SPSS is the simplest and least complex statistical program, and it will require you only a short time to become familiar with it and master its use. SPSS program is excellent in descriptive statistics, analysis of variance, and also basic regression analysis, which are very necessary aspects for researchers The use of this statistical program is not limited to researchers in universities only but can be relied upon in business organizations to prepare reliable and reliable business reports and improve the decision-making process

Inconvénients :

On the other hand, the SBS program may not be able to deal with very large data, and from my experience, I can also say that the statistical methods used in the field of social sciences (and this is clear from its name), it is very likely that the results and outputs of the SBS program It will change if the user changes the order of the inputs, and therefore the user will have to experiment several times in a different order and compare the results, especially in the aspect of logistic analysis and generalized linear models

SPSS for statistical analysis

Commentaires : Overall SPSS is a great program to use for statistical analysis. Its easy to use with Excel so you will have little to no problems puttting your Excel sheet in SPSS. With a lot of options of all kinds of analysis, SPSS is a great program to use

Avantages :

What I like the most about SPSS is the amount of options you have. It's really easy to perform an analysis on a small group of data in a big data sheet. If you want multiple kinds of graphs for a multitude of data groups, all the graphs will be sorted and neatly arrange in a easy to use overview. It's also really easy to combine SPSS with Excel (and other programs like Excel). You can easily use the data you have collected in excel, in SPSS. You just have to make sure that the data is arranged in the same way as SPSS, ortherwise SPSS won't be able to read your date.

Inconvénients :

What I don't really like about SPSS is that it opens a lot of new windows. If you want to make a graph. It opens a new window for the graph, and if you want to edit this graph another's window will be open. So if you don't close each window after you use it, they'll eventually add up to such a number that it could get difficult to find the right window again. It's also quite difficult to start with SPSS (especially if you switch from Excel). Because there are so many options it could be difficult the find the one you are looking for, but after some time this won't be a problem anymore. SPSS also isn't easily used as a data collector. It's greatly restricted how and where you can fill in you data. So for data collection it's better to use a different program, like Excel.

Review of SPSS

Commentaires : When I first used the program, it was very difficult and almost impossible to learn. However, as I spent time in it, I began to understand and comprehend. Ultimately, the program allows for a great experience if well learned. I think it is necessary to learn this program in order to be a good researcher.

Avantages :

I like to be able to see the analyzes I have done in the past with a single click, making it easy for me to switch to a new analysis while I am analyzing the data most in the software. At the same time, the program works very fast and I can see all the data analysis I want on a single screen. Again, by allowing the SPSS-Macro extension, I find it successful to do the analysis formats developed by Hayek. While doing this, I do not experience any freezing in the program, it runs smoothly. In this sense, it provides great convenience in terms of coding and processing of my data, as well as during analysis. Similarly, allowing graphics to be made in the program allows me to visualize the results of the analyzes I have obtained.

Inconvénients :

The lack of language support in the program is a disadvantage for me. Therefore, the only downside about the program is that you cannot access the software in my own language.

The industry leader for ages (...and it shows)

Commentaires : Once I learned how to use SPSS to do what I needed it to do, it became an invaluable tool and a critical part of my workflow--indeed, trying to learn other statistical software packages after figuring out SPSS felt a bit like trying to "unlearn" how to ride a bike. It does have its quirks and flaws, mainly surrounding its UI, but these are literally cosmetic.

Avantages :

The range of statistical tests and techniques available from the get-go in SPSS is unmatched, and there are additional modules that can be added to expand the software's abilities. It becomes relatively intuitive the more you use it, and its export options for the results it calculates are quite robust.

Inconvénients :

SPSS is quite intimidating if you've never used it before, and without guidance, it may feel almost impossible to get started with it. Perhaps its biggest problem is its ongoing legacy support for previous versions--in other words, IBM periodically seems to slap a new front end on the software, but with just a click or two, you immediately encounter dialog boxes and windows that look like they belong on a machine running Windows XP (...or earlier!). The overreliance on pop-up windows makes the interface even more dated and clunky. Honestly, IBM should completely gut the software and start over from scratch, but presumably that's too big of a task, which leaves us with this black box that has been coated with dozens of layers of proverbial paint.

Powerful Data Analysis Tool

Commentaires : Overall, IBM SPSS Statistics is a solid choice for data analysis, but it's not perfect. You'll need to weigh the pros and cons and decide if it's the right fit for you.

Avantages :

I found IBM SPSS Statistics to be an effective tool for analyzing data. It offers a wide range of statistical techniques and tools that allows me to delve deep into my data and uncover meaningful insights. One of the greatest advantages of this software is its user-friendly interface which makes it easy for me to access the tools and features, even as a new user of data analysis. Additionally, the visualization tools are exceptional, enabling me to create various charts and graphs that help me see patterns and trends in my data.

Inconvénients :

Now, there are a couple of downsides I least liked about it. First off, it's not exactly cheap. If you're a small organization or just a single user, you might have to fork over a decent chunk of cash to use it. And it's not the most beginner-friendly thing in the world, so you'll probably need to put in a little bit of time to learn how to use all the features. Plus, it's not open source, so that might be a deal breaker for some folks. And finally, it's not as good as R or Python for super advanced analysis.

SPSS for digital mental health research

Commentaires : I am the Principal Investigator of a NIMH funded study that aims to test the efficacy of digital platforms in delivering cognitive training software to people with psychotic illnesses. Our serves store enormous amounts of data and we leverage the processing ability of SPSS to customize multiple data analysis pipelines. I've used SPSS for almost 10 years now and I must admit that it continues to represent an indispensable tool in my research.

Avantages :

SPSS Is the milestone of our data analysis pipeline. The software has been increasingly more user friendly release after release, the graphical interface is more intuitive, and the customization options have improved. SPSS syntax is easy to learn, implement, and teach to students in the lab.

Inconvénients :

Some advanced statistical functions require syntax that isn't available through the menu options. I find myself sending syntax to colleagues and students in order to accelerate collaborative analytical projects

Wonderful Analytics tool !

Commentaires : Great analytical and visualization tool!

Avantages :

Extremely user friendly, you can conduct analysis with or without code, from simple linear regressions to complex neural networks can simply be done with the click of a button through the drop down media. Useful tutorials that help newcomers to the software! This is especially helpful if you have not used the software before. Versatility, this software can open almost any type of data file and output a myriad of files, for example you can open excel, spss files and output graphs as jpeg or png file formats.

Inconvénients :

Menus are very clunky and not visually appealing. Some advanced metrics for analysis are not easily accessible, these include SVM, decision trees etc. Extremely expensive! I am not sure how much a full liscence cost but it is worth the cost!

THE data analysis master

Commentaires : SPSS has become a necessary time-saver for us. It has also given us options with creative reporting and data displays allowing us to be really competitive in our market with offering high quality and visually appealing data analysis.

Avantages :

SPSS has become a analysis tool that is vital to our work. The ability to use and reuse files and create templates has greatly increased our efficiencies. The quality of the analyses we're able to do make it a very effective tool for our data analysis and our ability to clearly, accurately and creatively report our findings.

Inconvénients :

It's a tough software to learn and remember where everything is located in the toolbar, and how each function applies, but once you master the language of it, possibilities are endless regarding quick creation and analyses of your data files.

The best Statistical Software for Social Sciences

Commentaires : Without this software, writing articles would be more time-consuming. Data analysis is much easier with SPSS, even if you don't organize your database earlier.

Avantages :

After a quick cleanup of data with other software, SPSS can import data from multiple file types, and create any variables we desire. It's easy to make quick analysis, deep correlations, rescale variables, create regressions, everything you need to analyze data a create impact research.

Inconvénients :

A little information about the software is needed. It's very intuitive, but because it offers many tools (correlation, regression, ...), if you just need a quick analysis (median, mode, and average kind of things) it's not the simplest software. But for those who really need data analysis, it simplifies and accelerates analysis.

SPSS - the standard tool for statistics

Avantages :

Anyone who deals with statistics and data analysis cannot get around SPSS. Even newcomers can quickly get to grips with SPSS after a short familiarization period thanks to the graphical and guided interface. Data sets are quickly read in. The scope of SPSS really leaves hardly anything to be desired. A program for "home use", but also for professional and complex data analysis.

Inconvénients :

Unfortunately, SPSS can only be purchased through a monthly or annual payment plan. A single user license is unfortunately not available. For a non-profit organization or student needs it is very expensive. If the university does not have a license, one will have to resort to cheaper, opensource alternatives (like R).

SPSS appropriate software for academic and business circles

Commentaires : From my experience SPSS is good when carrying out statistical operations. I used SPSS when doing my Masters of Science in Finance and Banking research. From my experience compared to Eviews SPSS is difficult to use.

Avantages :

SPSS is a multifaceted statistical package that allows different types of analysis. Statistical package for social sciences (SPSS) enables to obtain statistics ranging from descriptive statistics to complicated multivariate analysis. The statistics menu helps the researcher or business analyst to analyse and interpret data by clicking the drop down arrow under data, analyse and graphs. SPSS helps researchers and business analysts to generate new variables by clicking the transform drop down menu which provides the steps or procedures for generating new variables. The package supports several functions for example arithmetic functions, statistical functions for example MEAN.

Inconvénients :

SPSS is not suitable for anlysing time series data and panel data. Does not allows for same time estimation of regression parameters and relationship between regressor or independent variables. Compared to other packages SPSS does not support model development (Structural Equation Modelling). SPSS does not provides model fit indexes to assess how well data or information is represented.

SPSS still the one after all these years

Commentaires : Academic computing in the social sciences - SPSS is particularly strong in data management.

Avantages :

I have been using SPSS since 1981 and it is still my go to statistical software as I have progresses from a graduate student to a full professor. Ease of use. Verified and reliable calculations. The SPSS paste function allows users to work in a GUI environment but also permits users to write syntax that can then be reused and modified providing a record of data transformations and statistical procedures.

Inconvénients :

The wide range of packages and difficulty in telling what procedures are available in specific packages. Merging files has become unduly complicated.