#IBM SPSS STATISTICS REVIEWS SOFTWARE#
#IBM SPSS STATISTICS REVIEWS CODE#
#IBM SPSS STATISTICS REVIEWS PROFESSIONAL#

The unprecedented situation generated by the coronavirus pandemic has led to a significant change in the quality of individuals’ professional and personal lives, bringing with it considerable dangers to their mental health 1. Tailored programs of intervention are necessary. Our results can inform specialists about the role of emotionality in the occurrence of teacher burnout and the greater vulnerability of experienced teachers in the context of remote learning. This study is the first to explore teacher burnout during the COVID-19 pandemic in relation to dispositional traits based on the HEXACO model using a person-centered approach. In terms of sociodemographic variables, gender and rural/urban teaching environment did not have significant impact on teacher burnout profiles, but professional experience did. Our results showed a significant correlation between all six HEXACO personality traits and teacher burnout based on the variable-centered method, but the LPA highlighted that only the emotionality trait was antecedent of profile membership. Latent profile analysis (LPA) identified five latent profiles: “No burnout risk” (41.3%), “Low burnout risk” (21.9%), “Cynics” (7.7%), “Exhausted and cynics” (16.1%), and “High burnout risk” (13%). Data were collected from 522 teachers (77% women M age = 37.45 years, SD = 9.28) in November 2021. The main aims of this study were to identify distinct teacher burnout profiles and examine their association with HEXACO personality factors and sociodemographic variables.

IBM SPSS features and functionalities can be expanded with a multitude of available add-on modules such as additional builders and algorithms.Although it is well-known that teaching is one of the most stressful jobs, teacher burnout during the COVID-19 pandemic has not been thoroughly investigated. SPSS includes several types of coding and automation support such as scripting and CLEM. Users can automate common tasks using SPSS syntax, using R and Python, or creating customized dialog boxes that use those languages.

#IBM SPSS STATISTICS REVIEWS CODE#

IBM SPSS allows users to enhance SPSS syntax with integration to R and Python code using a library of extensions or their own code. It uses ad hoc analysis, hypothesis testing, geospatial analysis, predictive analytics, text analytics, and optimization to find new opportunities, improve efficiency, and minimize risk. IBM SPSS is designed to solve business and research problems with advanced algorithms, machine learning algorithms, procedures, and extensions that cover statistical and predictive analytics.

#IBM SPSS STATISTICS REVIEWS SOFTWARE#

Interface update: Some users think that the software needs a fresher interface as well as improvement on default graphics.

Robust features: Open source extensibility, integration with big data, automation, and multiple deployment options are available.

Advanced analysis tools: IBM SPSS offers advanced statistical analysis, text analysis, and a vast library of machine learning algorithms and models that are ready for immediate use.

User-friendly interface: IBM SPSS is easy to use, flexible, and accessible to users of all skill levels.

Organizations are able to go live in days, boost team productivity, start small, and scale according to security and governance requirements. It is a visual drag-and-drop tool that helps speed up operational tasks to drive return-on-investment and accelerate time to value with a bottom-up hypothesis-generation approach. SPSS Modeler is a graphical data science and predictive analytics platform. Organizations are able to extract actionable insights with a top-down hypothesis-testing approach. SPSS Statistics is a statistical software platform with a robust set of features to help users analyze data and understand large and complex datasets quickly. IBM SPSS mainly consists of SPSS Statistics and SPSS Modeler. It helps business users of all skill levels to perform complex statistical analysis that can solve business and research problems quickly and efficiently. It is a platform that enables users to build predictive models and execute analytics tasks. IBM SPSS is an integrated family of software products.

Ibm spss statistics reviews