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Statistics for Researchers: Understanding Mediation, Moderation and Beyond

Statistics for Researchers: Understanding Mediation, Moderation and Beyond

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8.7/10 (Our Score)
Product is rated as #85 in category Data Science

Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting multilevel analyses using a real dataset and provide articles and templates designed to facilitate your learning. You’ll leave with the tools you need to analyze and interpret the results of the datasets you collect as a researcher. 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. Note: This course is based on Version 2 of SPSS. You can still apply it to the latest version, but it’s no longer an exact match to the current interface. This course is supported by the BRAD Lab at the Darden School of Business, which studies organizational behavior, marketing, business ethics, judgment and decision–making, behavioral operations, and entrepreneurship, among other areas. More: http://www.darden.virginia.edu/brad–lab/ A …

Instructor Details

Professor Guarana has joined the Kelley School of Business as an Assistant Professor in the Department of Management and Entrepreneurship. He earned his PhD (Management) in 2015 from the University of Washington and worked as post-doctoral researcher at the University of Virginia Darden School of Business for two years. Professor Guarana’s research examines how leaders and followers’ limited attentional resources affects decisions, relationships, and behaviors in complex organizational contexts. His specific research interests include cognitive biases, ambivalence, sleep, and job engagement. His research has been published in many scholarly journals including Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, Journal of Management, Psychological Science, and Journal of Experimental Social Psychology, and his work has been mentioned by several mainstream outlets including Fortune, Harvard Business Review, Huffington Post, and The Atlantic. His scholarship and teaching have received many recognitions including Best Student Paper by the MOC Division of the Academy of Management, and Outstanding Teaching Award by the Dean of Foster School of Business. Professor Guarana enjoys teaching action-based leadership and organizational behavior classes. Prior to entering academia, Professor Guarana was an entrepreneur and played professional basketball in Brazil. He loves spending time with his family and watching sports.

Specification: Statistics for Researchers: Understanding Mediation, Moderation and Beyond

Duration

9 hours

Year

2017

Level

Beginner

Certificate

Yes

Quizzes

Yes

25 reviews for Statistics for Researchers: Understanding Mediation, Moderation and Beyond

4.3 out of 5
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  1. Snigdha D

    Good for basic and practical understand of modelling.

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  2. Kan W

    good

    Helpful(1) Unhelpful(0)You have already voted this
  3. Kambiz A

    Very good and informative course

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  4. Luis H C P

    Excellent course! Content is very important for the improvement of statistical techniques that are widely used in scientific research. The professor has a great mastery of content and his teaching is very engaging. I hope there will be continuation with other approaches to related issues.

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  5. Ashutosh P

    Very easy to understand and explained with real examples

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  6. Muhammad T S

    Thank you for a good course. However, a lot needs to be added that can fully justify the stated scope of the course. These were isolated topics in data analysis. Useful but isolated and limited. Still, thank you for the great effort.

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  7. Anurag P

    Easy to understand complex concepts. Thank you!

    Helpful(1) Unhelpful(0)You have already voted this
  8. Jaime A P J

    This is a wonderful course with a working example on the use of SPSS with the regression based approach in statistical analysis.

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  9. MUHAMMAD S

    I learned many useful concept related to regression and multilevel analysis of data.

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  10. Charlene W

    Explained most concepts clearly, and I love the details included in the slides.

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  11. Haroon A

    This course is giving a very detail and well structured insights into Data Analysis.

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  12. Veerle O

    The course was fine in general, with clear slides and step by step instructions. I missed: information on reporting the data in a paper, how to conduct the multilevel models in SPSS (for those who don’t have (access to) HLM, which cannot be accessed for free). In addition, the voice of the instructor is very high pitched, with an unnatural cadence/emphasis at weird moments. This makes listening to the lectures not always pleasant.

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  13. gehad g

    THIS COURSE IS TALKING ABOUT MEDIATION, MODERATION, NEW TESTS ON SPSS, NOT THE BASIC ONES. EXPLANATION IS PERFECT, VEDIOS ARE AWASOME, EVERYTHING IS AVAILABLE. THANKS ALOT

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  14. ATHIRA R V

    I would like to express my sincere gratitude to Cristiano Guarana (Ph.D.) and the whole team behind this course for the well informative course content and an excellent way of instruction. Being an early career researcher, this course has been of great help in building a strong foundation for my Ph.D. journey. And I am sure, like me, a lot of other enthusiastic students will also be looking forward to have more effective courses from this team. Thank You.

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  15. Muhammad i

    very nice and good information about data analysis and variable types

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  16. gudiya r

    Very Helpful & knowledgeable course on analytical

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  17. BHASKER B

    very hard to complete the course with the available time production hours.

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  18. 115801

    Completed the Course Interesting one Mediation & moderation direct & Indirect effects having practical applicability Thanks to coursera

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  19. charit t

    very useful learning

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  20. SURESH B R S

    Very useful to learn and develop analytical skills of available data

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  21. Shikha S

    NA

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  22. Abithlal T

    Positive approach to learn new things in a different way. Thanks

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  23. Kirthivasan A

    Explanations need to be more clear, especially analysis of the outputs using HLM tool and IBM Statistical tool.

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  24. Dumisani F N

    Very insightful course. Simplified previously complex concepts.

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  25. NZIENGUI E G c e

    Nice

    Helpful(0) Unhelpful(0)You have already voted this

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    Statistics for Researchers: Understanding Mediation, Moderation and Beyond
    Statistics for Researchers: Understanding Mediation, Moderation and Beyond

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