IBM SPSS Statistics - Avis

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

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.

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.

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.

IBM SPSS for fast analysis

Commentaires : IBM is good for academic research and analysis.

Avantages :

Can provide accurate analysis without coding. There are range of analysis options to choose from. Light weight. You can integrate python programming language with IBM SPSS.

Inconvénients :

The User Interface is not modern. Mostly for academic research and analysis. Cannot embed charts. Charts are not interractive but static images.

Easy to use Statistical analysis software

Commentaires : Overall, using SPSS with other statistical software like SAS JMP and Excel provides great value. The software is great but surely there is room for improvement

Avantages :

I Return to mostly because of its data cleaning capability and the ability to save chart templates and reuse. It is flexible for basic statistical analysis though requires an good statistical background to perform sophisticated statistical analysis with it.

Inconvénients :

The fact that the software has no algorithms that can help you decide on the right statistical test seems problematic to novices in statistical data analysis. You must know the exact test to perform, the software cannot help you decide

Spss statistics software

Commentaires : The first contact with the software as at the level of the University. Collecting data 'to draft the report, I've been introduced to a person handling SPSS stat. I there for took contact with the software to do some minimum Data introduction, Data cleaning end grafting some results.

Avantages :

Used in both academic and professional purpose Good quality of data monitoring and cleaning. The ceriousness of the tool mekes it usage very cellective and precoded

Inconvénients :

The ease of use: to handle the software we should follow a minimum hours of training cession

Best Data Analysis Product

Commentaires : IBM has helped our organization analyze data from our engagement surveys and this has produced readable data that has helped us plan our future

Avantages :

Its ability to offer different types analysis, which caters for everyone's capabilities

Inconvénients :

It can be complex if you do not get enough training

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

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 great tool for statistical analysis of large datasets

Avantages :

After learning the basics of the software it becomes intuitive to use, if you use their guide you can make it through the steps to perform any basic task. It had multiple functions that were very useful for most sorts of statistical analysis that are required in quantitative research.

Inconvénients :

There should be a quicker way to change the types of variables of multiple variables in use, and the graphs should be easier to customize.

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

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.

It is user friendly, professional and perfect for those people who need to analyze quantitative data

Commentaires : Working with this software in one of the most important section of my job.

Avantages :

As a market researcher I should work with SPSS daily. It is a software for analyzing quantitative data.it is easy to import data from other software like Microsoft Excel and analyze them. Also some online survey platforms have SPSS output and you can import data from them to SPSS directly. If you just want to have some descriptive statistics, it is easy to learn, but if you want to analyze data with parametric and non-parametric exams, it is a bit difficult so it is better to take a class about 1 week and learn SPSS fast. Then you will enjoy analyzing data.

Inconvénients :

For drawing charts from data, SPSS is not suitable because it doesn't have a beautiful data visualization. Visualization tools for drawing charts in SPSS are few; so every time that I want to draw a chart, I should copy the table of analyzed data on SPSS to Excel and draw the chart.

My experience with SPSS has been nothing short of amazing. I rely on it daily, and am never let down

Avantages :

SPSS is incredibly user-friendly, which is obviously important when it comes to statistical analyses. More specifically, rather than having to learn a certain coding language in order to run analyses, one can just navigate through the menus while also collecting the syntax from these operations in order to replicate in the future. Compared to other statistical analysis softwares, SPSS is as familiar as can be, and is as approachable as possible. It is easy to teach to others, and it also makes professional and publishable graphs.

Inconvénients :

Though a tiny quip, SPSS has a few limitations when it comes to making graphs - for example, if one were to make a stacked bar graph of their data, they are unable to add error bars to it, which, as any researchers knows is incredibly important. Other than that, I cannot say that I have any major dislikes about SPSS.

Industry standard for psychological research

Commentaires : Definitely the standard statistical package in my field (psychology research), and for good reason. SPSS is a data workhorse.

Avantages :

SPSS is powerful yet straightforward to use. It covers a wide array of statistical analyses and data transformations - functions like automatic recoding of variables or restructuring of datasets can be great time savers. The SPSS syntax is also fairly intuitive, with a low barrier to entry for anyone with basic coding experience. The fact that syntax is automatically generated when using the point-and-click interface is extremely helpful for getting started with creating your own scripts, making future analyses even more efficient.

Inconvénients :

The graphing function is serviceable, but not pretty. Tweaking graphs to look decent can be time-consuming and frustrating, and some options are simply not available (for example, showing all data points overlaid on a bar graph of means). There are also some statistical tests not available via the point-and-click interface; you have to know the proper syntax to run them. Lastly, there is of course the price tag - I am able to get access through my university, but I'm not sure it would be worth the cost if I were paying out of pocket.

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).

IBM SPSS: Data Analysis and Management for Graduate Research

Commentaires : IBM SPSS is the leading data analysis software. It was really a major support in our graduate research in the fields of big data algorithms and cloud computing.

Avantages :

I have used SPSS to carry data analysis and reporting for my security and cloud computing research to support the different statistical analysis and management for my simulations. I like the variable support in SPSS that gives a better data view of the samples in one Spreadsheet. The variable creation process is highly automated that makes the deployment of the statistical model much more facilitated. Moreover, the variable configuration process is very intuitive and resembles basic relational entities in RDBMSes. By the way, I integrated SPSS with prominent RDBMSes such as Oracle and MySQL.

Inconvénients :

The main limitation that occurred is the performance degradation when loading large data sets. Though, this wasn't easily replicated, we believe that the size of the data set could be the main factor resulting in the lags we experienced. The SPSS learning curve is steep and it requires a lot of training to make the user acquainted to use it effectively.

Academic research help

Commentaires : A useful tool for complex calculations , Various calculations can be extracted from this application.

Avantages :

At the University of Zimbabwe we have found a reliable solution in the SPSS application for the various researches that is carried out in different faculties. I used the app on my undergraduate research project and my MBA research which produced the best results . Free videos are available online on how to use SPSS and there you dont have to pay to be taught on how to use it

Inconvénients :

It took me some time to carefully study and understand how to use the SPSS, and therefore it might took someone some time to understand the different function on the app

Researcher's opinion about SPSS

Commentaires : Since my training, I have used other software packages (JASP, R, Stata), and although I would mostly pick those over SPSS, I would still heartily recommend this software package to others. Especially to people who are less experienced with statistical reporting.

Avantages :

I learnt statistics using SPSS, and for that it will always be a product that has personal significance for me. It is very user friendly and the UI and ribbon, although dated, allows inexperienced users to quickly understand and navigate its functionality. For simple statistical operations, SPSS is great.

Inconvénients :

For statisticians who are more experienced, SPSS will likely feel sluggish. It does not have the kind of customisation that other packages or programming languages have, e.g. R, and it can feel slow.