An Algorithm for Converting Ordinal Scale Measurement Data to Interval/Ratio Scale

Autor/in	Granberg-Rademacker, J. Scott
Titel	An Algorithm for Converting Ordinal Scale Measurement Data to Interval/Ratio Scale
Quelle	In: Educational and Psychological Measurement, 70 (2010) 1, S.74-90 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164409344532
Schlagwörter	Intervals; Rating Scales; Surveys; Markov Processes; Monte Carlo Methods; Measurement Techniques; Least Squares Statistics; Item Response Theory; Comparative Analysis + Suchen Sie Ihr Suchwort? Rating-Skala; Survey; Umfrage; Befragung; Markowscher Prozess; Monte-Carlo-Methode; Messtechnik; Item-Response-Theorie
Abstract	The extensive use of survey instruments in the social sciences has long created debate and concern about validity of outcomes, especially among instruments that gather ordinal-level data. Ordinal-level survey measurement of concepts that could be measured at the interval or ratio level produce errors because respondents are forced to truncate or round off their responses to fit a given ordinal scale. This article presents a Markov chain Monte Carlo modeling technique that converts ordinal measurements to interval/ratio. Simulated data demonstrate the robustness of this technique, and implications of this technique are discussed. (Contains 3 tables and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10