The SAGE Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences
By W. Vogt, R. Burke Johnson. 2015
501 citations recorded by the source corpus.
Packed with new definitions, terms, and graphics, this invaluable resource is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms, concepts, methodology, and design definitions, as well as concepts from qualitative research methods and terms from theory, and philosophy. New to this edition: *More than 500 new terms, definitions, and graphics provide readers with new, emerging, and important information. *15 new figures clarify terms and definitions. *A new appendix lists the statistical assumptions of ANOVA, ANCOVA, regression, repeated measures ANOVA, mixed ANOVA, correlation, independent t test, paired samples t test, and chi-square for contingency tables, broadening the reach of the dictionary and making it more valuable for those new to quantitative research. *Numerous additional updates include new terms for the health sciences, more on research designs, structural equation modelling, statistical techniques, and more measurement terms to increase the scope of the book.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/19cb2c4332660df04c9942ac28c129648f0c7724
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Citations in the corpus
- Putting Typologies to Work (2012, background): “Nominal scales are indispensable to the reasoning required, and this key contribution is another reason why it is inappropriate to denigrate nominal scales.”
- The Purpose in Life Test-Short Form: Development and Psychometric Support (2011, methodology): “These reliability estimates are acceptable by interpretive standards (e.g., DeVellis 2003; Murphy and Davidshofer 2005; Nunnally and Bernstein 1994; Vogt 2005).”
- U.S. Sustainable Food Market Generation Z Consumer Segments (2019, background): “to assess the validity of instrument scales [66,67].”
- Inquiry-based science instruction—what is it and does it matter? Results from a research synthesis years 1984 to 2002 (2010, background): “A z-score is a standardized score representing a relative location in a distribution (Vogt, 1999).”