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Showing posts with the label SPSS data analysis

Five Reasons Why to Use SPSS for PhD Research

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  Introduction Doctoral degrees require additional research and data analysis. For example, it tests hypotheses and determines which variables affect outcome measures. Researchers must analyse the collected data for conclusions. If you want to understand why  SPSS data analysis  is better than any other software, this article will give you everything to help you. Following are the reasons why SPSS is beneficial in Ph.D. Data analysis and research:- 1. Efficient analysis of scientific data SPSS (Statistical Package for Social Sciences) is one of the most commonly used programs for data analysis. SPSS’s. Researchers widely use the current version of SPSS( STATA) to analyse data. The main application of SPSS is to check logical information related to sociology. Researchers use the information for statistical surveys, observations, etc. If you’re doing social science research, SPSS can be extremely useful for analysing your data. 2. Transformation of Data SPSS can be used to change the dat

Why do data analysts play a vital role in your business enhancement?

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  Introduction Currently, data analysts play a crucial role in enhancing your business. They can provide a meaningful overview of data in real time. It will help companies to make smarter decisions that will increase their value and help them grow their businesses. Companies across all fields rapidly use data to make quick and major business decisions like developing new products, entering new markets, increasing investments, and reaching new (or existing) customers. The data can also determine capability and other addressable problems. Data analysts assign numerical values ​​to assignments for comparison. They must be able to use data properly so that their organisations can make quick and right decisions. So, a data analyst must do more than look at the statistics. Role of Data Analyst The main responsibility of a data analyst is to help companies make better and right decisions. They collect, organise, and analyse business information using various techniques such as MANOVA and ANOV