SPSS Explained (2014) by Perry Hinton Charlotte Brownlow Isabella McMurray.Getting started series: opening a dataset and data management Parametric and Non-Parametric Anova Test.Parametric and Non-Parametric Student T-Test.A Student’s Guide to Interpreting SPSS Output for Basic Analysis – A clear, visualized guide by ICPSR that shows you how to interpret your SPSS output.What Statistical Analysis Should I Use? – A clear list compiling many of the statistical analysis tests, categorized by type of the independent variable(s) and dependent variable(s). Data Analysis Examples with IDRE – The IDRE (Institute for Digital Research & Education) provide hypothetical data in order to illustrate different statistical analysis techniques using different software packages.

Learning and Teaching with ICPSR – The ICPSR (Inter-University Consortium for Political and Social Research) provides rich data resources in order to advance and expand social and behavioural research.

Statistics How To -This list gives you the basic tools to get you started with SPSS in a step-by-step format.

A long list of frequent functionalities of SPSS for beginners.

SPSS On-Line Training Workshop – Central Michigan U.

Vancouver Public Library, if you have a library card. This is a subscription site: you should have access via your local public library, e.g.

SPSS Statistics Essential Training – Tutorial via.

Join us for this workshop and start your data analysis with SPSS! Workshop materials

This workshop is a good start for people who are new to SPSS and help you harness this useful analysis tool. Hands-on-activity with example data is provided to learn these basics. This introductory level SPSS workshop introduces SPSS environment, basic data preparation and management, descriptive statistics, and common statistical analysis (T-test, ANOVA, correlation, regression). This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge.SPSS (Statistical Package for the Social Sciences) is a software program used by researchers in various disciplines for quantitative analysis of complex data. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS.This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.

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