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008 191130s2013 ne sb 001 0 eng d
020 _a9789462094048
_q(electronic book)
020 _z9789462094031
_q(print)
024 7 _a10.1007/978-94-6209-404-8
_2DOI
035 _a(OCoLC)871257739
040 _aNL-LeKB
_cNL-LeKB
_erda
050 4 _aLB1028
072 7 _aJN
_2bicssc
072 7 _aEDU
_x000000
_2bisacsh
082 0 4 _a370.72
_223
245 0 0 _aHandbook of Quantitative Methods for Educational Research /
_cEdited by Timothy Teo.
264 1 _aLeiden;
_aBoston :
_bBrill | Sense,
_c2013.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aEducational Research E-Books Online, Collection 2005-2017, ISBN: 9789004394001
505 0 0 _aPreliminary Material /
_rTimothy Teo -- Psychometrics /
_rMark Wilson and Perman Gochyyev -- Classical Test Theory /
_rZe Wang and Steven J. Osterlind -- Item Response Theory /
_rXitao Fan and Shaojing Sun -- Multiple Regression /
_rKen Kelley and Jocelyn H. Bolin -- Cluster Analysis /
_rChristine Distefano and Diana Mindrila -- Multivariate Analysis of Variance /
_rLisa L. Harlow and Sunny R. Duerr -- LoGistic Regression /
_rBrian F. French , Jason C. Immekus and Hsiao-Ju Yen -- Exploratory Factor Analysis /
_rW. Holmes Finch -- A Brief Introduction to Hierarchical Linear Modeling /
_rJason W. Osborne and Shevaun D. Neupert -- Longitudinal Data Analysis /
_rD. Betsy Mccoach , John P. Madura , Karen E. Rambo-Hernandez , Ann A. O’Connell and Megan E. Welsh -- Meta-Analysis /
_rSpyros Konstantopoulos -- Agent Based Modelling /
_rMauricio Salgado and Nigel Gilbert -- Mediation, Moderation & Interaction /
_rJames Hall and Pamela Sammons -- Introduction to Confirmatory Factor Analysis and Structural Equation Modeling /
_rMatthew W. Gallagher and Timothy A. Brown -- Testing Measurement and Structural Invariance /
_rDaniel A. Sass and Thomas A. Schmitt -- Mixture Models in Education /
_rGeorge A. Marcoulides and Ronald H. Heck -- Selecting SEM Computer Programs /
_rBarbara M. Byrne -- About the Authors /
_rTimothy Teo.
520 _aAs part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.
588 _aDescription based on print version record.
650 0 _aEducation
_xResearch
_xMethodology.
650 0 _aQuantitative research.
700 1 _aTeo, Timothy,
_eeditor.
776 0 8 _iPrint version:
_tHandbook of Quantitative Methods for Educational Research,
_dLeiden Boston : Brill | Sense, 2013
_w9789462094031
830 0 _aEducational Research E-Books Online, Collection 2005-2017, ISBN: 9789004394001.
856 4 _zDOI:
_uhttp://dx.doi.org/10.1007/978-94-6209-404-8
999 _c10815
_d10815