#MODUL SPSS 20 HOW TO#

This online course-a second course-picks up where the first edition of the book and the first courseВ introductory course leaves off.

#MODUL SPSS 20 HOW TO#

He also explains how to use PROCESS, a freely-available and handy tool he invented that brings modern approaches to mediation and moderation analysis within convenient reach. In Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, Andrew Hayes describes the fundamentals of mediation, moderation, and conditional process analysis using ordinary least squares regression. Moderation analysis is used to examine and explore questions about the contingencies or conditions of an effect, also called вЂњinteraction.вЂќ Conditional process analysis is the integration of mediation and moderation analysis and used when one seeks to understand the conditional nature of processes (i.e., вЂњmoderated mediationвЂќ)

Mediation analysis is used to test various intervening mechanisms by which causal effects operate. Statistical mediation and moderation analyses are among the most widely used data analysis techniques. Also included are seven activities dispersed in various places throughout the course to test your understanding. вЂ‹The course contains 16 modules, described below, that span about 15 hours in total. Testing a moderated mediation hypothesis and comparing conditional indirect effects.Quantification of and inference about conditional indirect effects.Conditional process analysis (вЂњmoderated mediationвЂќ).

Estimation of moderation and conditional effects.

Estimation and inference about indirect effects in single mediator models.

Path analysis: Direct, indirect, and total effects in mediation models.

Some familiarity with the use of SPSS, SAS, or R is assumed.вЂ‹ No knowledge of matrix algebra is required or assumed, nor is matrix algebra ever used in the course. Prerequisites.В Participants should have a basic working knowledge of the principles and practice of multiple regression and elementary statistical inference. STATA users can benefit from the course content, but PROCESS makes these analyses much easier and is not available for STATA. Students should have good familiarity with the basics of ordinary least squares regression as well as the use of SPSS, SAS, or R.

This is a hands-on course, so maximum benefit results when students can follow along with analyses using a laptop or desktop computer with a recent version of SPSS Statistics (version 23 or later), SAS (release 9.2 or later, with PROC IML installed) or R (version 3.6 base module only. Content is delivered asynchronously through prerecorded video, with occasional open synchronous office hours for meeting with the instructor through Zoom. A copy of the book is not required to benefit from the course, but it could be helpful to reinforce understanding.Дelivery and Technology.В Computer applications will focus on the use of ordinary least squares regression and the PROCESS macro for SPSS, SAS, and R developed by the instructor that makes the analyses described in this class much easier than they otherwise would be. In this course, you will learn about the underlying principles and the practical applications of these methods using ordinary least squares (OLS) regression analysis and the PROCESS macro for SPSS, SAS, and R invented by the course instructor and widely used in the behavioral sciences.В This course is a companion to the instructorвЂ™s book Introduction to Mediation, Moderation, and Conditional Process Analysis, published by The Guilford Press. An understanding of the fundamentals of mediation and moderation analysis is in the job description of almost any empirical scholar. Moderation analysis is used to examine and explore questions about the contingencies or conditions of an effect, also called вЂњinteraction.вЂќ Increasingly, moderation and mediation are being integrated analytically in the form of what has become known as вЂњconditional process analysis,вЂќ used when the goal is to understand the contingencies or conditions under which mechanisms operate. Mediation analysis is used to test hypotheses about various intervening mechanisms by which causal effects operate. Statistical mediation and moderation analyses are among the most widely used data analysis techniques in social science, health, and business research.

Modul spss 20