Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    New York, NY :Routledge,
    UID:
    almahu_9949386975602882
    Format: 1 online resource (xiv, 194 pages) : , color illustrations
    ISBN: 9781003149286 , 1003149286 , 1000426858 , 9781000426830 , 1000426831 , 9781000426854
    Content: "This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences"--
    Content: "Within these pages, Pain Erasers: A Natural Doctor's Guide to Safe, Drug-Free Relief will reveal new ways to naturally erase your pain, often permanently! You'll discover dozens of natural painkillers, from a little-known but highly effective resin from the rainforest, along with such standbys as ginger and turmeric. And to boost the effects of these remedies, you'll get helpful tips on how to change your diet and lifestyle for optimal health and pain and inflammation management"--
    Additional Edition: Print version: Watkins, Marley W., 1949- A step-by-step guide to exploratory factor analysis with Stata New York, NY : Routledge, 2021. ISBN 9780367710996
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Electronic books.
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages