This is a free online course on SPSS.
SPSS is a statistical software package that helps you analyze data and make informed decisions. It has many functions, including:
-finding patterns in your data
-measuring relationships between variables
-producing graphs to help you visualize your results and understand them more easily
Courses Spss Free Online Course
Introduction
Have you ever tried to perform an analysis on a large amount of data? It can be a daunting task. Many data sets are not only large in size, but also contain extraneous or unnecessary variables. In addition, the complexity and importance of a given statistical analysis often requires the use of specialized software. These factors can make the process seem overwhelming if you do not have experience with statistical programming and analysis. Fortunately, there is one tool that can greatly simplify such tasks—the Statistical Package for Social Sciences (SPSS).
Statistics (SPSS)
- Introduction to the General Linear Model Between-Subjects Factorial Design in SPSS
- Introduction to the General Linear Model Within-Subjects Factorial Design in SPSS
- The General Linear Model – multiple regression in SPSS
Data Analysis (SPSS)
Data Analysis: Introduction
Data Analysis is the process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information and building a knowledge base.
Data Analysis: Data Screening
In this course, you will learn how to identify key variables in your dataset using SPSS Graphing and Descriptive Statistics tools. These steps are necessary because they help you to begin visualizing patterns in your data that might otherwise be hard to detect if you rely solely on numerical values.
Descriptive Statistics (SPSS)
In this tutorial, you will learn how to use SPSS to do descriptive statistics. There are many different types of descriptive statistics. You will learn about some of the most common ones and how to apply them using a simple example.
Descriptive statistics is a set of techniques used to summarize a data set and make it easier for us as researchers to understand what our data looks like. Descriptive statistics give us a sense of what the data looks like on average (i.e., mean, median), but they don’t tell us anything about things like variability or outliers in our data set (i.e., standard deviation). For example: Let’s say we have 100 students who took my survey on course satisfaction at university; let’s say that they all answered 5 questions on course satisfaction with an average score of 80%. That tells us something about these 100 students’ average course satisfaction—but it doesn’t tell us anything about how much variability there was between those scores; in other words, we don’t know if there were some students who scored really high or really low compared with everyone else!
Statistical Methods 1: Introduction to the General Linear Model Between-Subjects Factorial Design in SPSS
In this course, you will learn how to use SPSS for a general linear model and a between-subjects factorial design. By the end of this course, you will be able to:
- Carry out data analysis using SPSS software
- Understand the importance of testing assumptions in statistical analysis
Statistical Methods 2: Introduction to the General Linear Model Within-Subjects Factorial Design in SPSS
The general linear model is the most common approach to analyze a data set. It allows you to describe and explain relationships between variables in your dataset by testing hypotheses about how they are related.
A within-subjects factorial design is a special type of repeated measures ANOVA that tests for differences among groups on a single dependent variable. In this course, we will use SPSS software to analyze data from a within-subjects factorial design by using ANCOVA (analysis of covariance) procedures.
Statistical Methods 3a: Manipulating Variables and Selecting Cases in SPSS
You will learn how to manipulate variables and select cases in SPSS using syntax. This includes:
- Manipulating variables (spss syntax)
- Selecting cases (spss syntax)
- Recoding variables (spss syntax)
- Creating new variables (spss syntax) * Drop cases from your data set (spss syntax) * Delete variables from your data set (spss syntax) * Delete cases from your data set (spss syntax)*
Statistical Methods 3b: The General Linear Model – multiple regression in SPSS
Multiple regression is a form of the generalized linear model. The most popular version of multiple regression is probably the one used to predict future outcomes, but there are other types that can be used to predict past, present and future values at once. Multiple regression is an important concept in many fields including psychology, politics and economics.
In this course we’ll cover:
- How to use SPSS for multiple linear regression
- How to interpret your results
Courses Spss Free Online Course
This is a very nice software package for data analysis, which can be used in various fields. It has been designed to work with SPSS Statistics, and it will allow you to perform a variety of tasks related to statistical analysis. With this course, you’ll learn how to use this tool effectively by learning about its most important aspects:
- Data file format
- Files and cases structure
- Creating variables and coding schemes
- Data entry using the keyboard or scanner
- Importing data files into SPSS
Conclusion
I hope you find one that fits your needs!
