The Use of Mixed Methods Models and Designs in the Human Sciences: Problems and Prospects
Quality & QuantityPublished 1 August 2006
Steven I. Miller, J. L. Gatta
Citations40
SJR quartileQ1
SJR score0.87
SNIP1.85
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
It is concluded that certain varieties of MM are potentially more robust than others in fulfilling the diverse and severe criteria and that MM must concern itself with formulating “procedural rules” which guide the researcher in choosing and applying appropriate strategies for specific research problems.
Abstract
diverse and severe testing, epistemological link, placeholder effects, procedural rules, triangulation,
Keywords
Social SciencesDecision SciencesHealth Professions
Computers Environment and Urban SystemsStatistical power analysis for the behavioral sciences
65,645 Citations1990
Sage eBooksBasics of qualitative research : techniques and procedures for developing grounded theory
38,901 Citations1998Anselm L. Strauss, Juliet Corbin
British Journal of Educational StudiesHandbook of Qualitative Research
26,705 Citations1994Gill Crozier, Norman K. Denzin +1 more
Statisctics and computing/Statistics and computingModern Applied Statistics with S
24,337 Citations2002W. N. Venables, B. D. Ripley
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods.
SAGE Handbook of Mixed Methods in Social & Behavioral Research
5,918 Citations2010Abbas Tashakkori, Charles Teddlie
Statisctics and computing/Statistics and computingModern Applied Statistics with S-PLUS
976 Citations1999W. N. Venables, B. D. Ripley
Contemporary Sociology A Journal of ReviewsFundamental Statistics for Psychology.
254 Citations1973Richard A. Zeller, Robert B. McCall
Measuring the Intentional World
120 Citations1998J. D. Trout
Philosophy of ScienceDuhem's Problem, the Bayesian Way, and Error Statistics, or “What's Belief Got to Do with It?”
54 Citations1997Deborah G. Mayo
It is argued that the Bayesian Way of reconstructing Duhem's problem fails to advance a solution to the problem of which of a group of hypotheses ought to be rejected or "blamed" when experiment disagrees with prediction.
The Philosophical ReviewMeasuring the Intentional World: Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences
42 Citations2000Harold Kincaid
