This course provides an introduction to the SPSS software program. It covers the basics of getting started, including creating variables and entering data, as well as more advanced topics such as adding and sorting variables, creating value labels, and descriptive statistics. The course also covers hypothesis testing, including the Pearson r correlation coefficient. It is a great way to learn the fundamentals of SPSS and gain the skills needed to use the software effectively.
SPSS Essentials: Statistics made easy
4.7
Udemy983 learners
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Do you want to learn how to use SPSS to perform statistical analysis? This course is perfect for you! With this course, you'll learn how to pick the right statistical test by answering four simple questions about your data and research methodology. You'll also learn how to use SPSS to obtain descriptive and inferential statistics such as the mean, median, mode, frequencies, t-test, correlation, Chi-square, ANOVA and regression. Don't miss out on this opportunity to learn these important skills and save money by buying the course for $9 before April 4th when the price increases to $20.
Psychometrics using SPSS and AMOS
4.4
Udemy1,065 learners
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This course provides an opportunity to learn the technical skills required to build a psychometric test from scratch. It is a hands-on course, focusing on the skills needed to assess human abilities, while discussing the theory only as much as is essential. Psychometric testing is a big business, and this course will help Human Resource Managers gain the necessary skills to succeed in the field. With the help of SPSS and AMOS, participants will be able to construct, validate and standardise psychological tests and other assessment tools. Join the course now and start making yourself a skilled psychometrician today.
SPSS Data Analysis for Beginning Researchers
4.5
Udemy3,850 learners
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This course, SPSS Data Analysis for Beginning Researchers, is designed to help those who are new to research projects, including students, non-technical researchers, and curious individuals. Data analysis can be difficult due to its multi-disciplinary nature, requiring knowledge from different fields. This course provides a concise and practical approach to the minimal set of knowledge and skills needed to analyze data. It includes background knowledge, practical demonstrations, experience sharing, key points, exercises, and references. With this course, you will be able to finish your own data analysis and gain the confidence to work with data.
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