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Sinopsis
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software.
New to the Sixth Edition
- Instructor ancillaries are now available with the sixth edition.
- All SPSS directions and screenshots have been updated to Version 23 of the software.
- Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction.
- Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.
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Acerca del autor
Craig A Mertler, Ph.D., is a Professor of Educational Leadership and Innovation and Director of the Doctoral Program in Leadership and Innovation at Arizona State University, Phoenix, Arizona, USA.
Rachel Vannatta Reinhart, Ph.D. is a Professor of Assessment, Research and Statistics in the School of Educational Foundations, Leadership and Policy at Bowling Green State University.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Advanced and Multivariate Statistical Methods: Practical Application and Interpretation
Librería: -OnTimeBooks-, Phoenix, AZ, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships via media mail. Nº de ref. del artículo: OTV.113828971X.G
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