BERD Resource by Statistical Package: SPSS

Updated at 8:05 am on 23SEP2022

Type of Resource Title URL Description - Provide helpful comments about this resource Keywords - separate by semicolons Programming knowledge required (1=none to 6 professional programmer) Statistical knowledge level required (1=none, 4=masters level 6=PhD level) Is there a cost associated with this resource StatPackage
Website SPSS for windows SPSS tutorial for windows, learning SPSS basics SPSS; programming . . No SPSS
Website UCLA Institute for Digital Research and Education Lots of resources like software (SAS, R, STATA, SPSS, M+), data analysis examples, codes and output, SAS macros, how to choose correct statistical tests, etc. SAS; R; STATA; SPSS; M+; data analysis examples; SAS code; SAS macros; choose correct statistical tests 4 4 No SAS, SPSS, R, M+,
Website UCLA Institute for Digital Research & Education Data Analysis Examples This page contains links to examples illustrating the application of different statistical analysis techniques using different statistical packages. regression models; count models; censored and truncated regression; multivariate analysis; mixed effect models; power analysis 3 4 No SAS, SPSS, R, M+,
Book Missing Data: Analysis and Design Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. missing data 3 4 Yes SAS, SPSS
Book Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling Introduction to multilevel analysis, topics include hierarchical linear model, random coefficients models, how to calculate ICC, how much does a model explain, etc. multilevel analysis; hierarchical linear model; random coefficients models; intra-class correlation coefficient; 4 5 Yes SAS, SPSS, R, M+,
Online Interactive Course IBM SPSS Statistics (Local) - Role: New User Pathways to courses provided by IBM to learn SPSS SPSS; IBM; SPS programming . . No SPSS
Online Interactive Course SPSS Training and Tutorials Learning basic SPSS SPSS; SPSS proramming . . Yes SPSS
Online Interactive Course Introduction to SPSS Introduction to data entry, statistical analysis, modeling and graphing in SPSS SPSS; SPSS programming . . No SPSS
Online Interactive Course Getting started with SPSS Step-by-step approach to statistics software through seven interactive activities SPSS; programming . . No SPSS
Online Interactive Course SPSS Tips to learn SPSS SPSS; programming . . No SPSS
Online Interactive Course Understanding Your Data: Analytical Tools Per the course website, this course is prepared by the University of Virginia. By the end of this course, you will understand the differences between mediation and moderation and between moderated mediation and mediated moderation models (conditional indirect effects), and the importance of multilevel analysis. Most important, you will be able to run mediation, moderation, conditional indirect effect and multilevel models and interpret the results. Statistics; analysis tools . . No SPSS
Online Interactive Course Data Analysis and Interpretation Specialization Per the course website, this 5-course specialiation is prepared by the Wesleyan University. It helps you learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. Data Interpretation; Data analysis; python . . No SPSS
Software to Download G*Power G*Power is a tool to compute statistical power analyses for many different t tests, F tests, chi-sq tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses. power;sample size;software 2 4 No Any, SAS, SPSS, R,