Ordinal Measurement in the Behavioral Sciences
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This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory.
Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size.
The book's approach is in essence a return to simple empiricism in psychological measurement. Ordinal Measurement in the Behavioral Sciences provides: Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant.
Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.
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Pearson product-moment Partial correlation Confounding variable Coefficient of determination. Mosteller and Tukey [4] noted that the four levels are not exhaustive and proposed:. Withoutabox Submit to Film Festivals. Stevens proposed his typology in a Science article titled "On the theory of scales of measurement". Subscription required using via Pages containing links to subscription-only content All articles with unsourced statements Articles with unsourced statements from July Articles with inconsistent citation formats.
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Most of this book is concerned with developing these variables that have not yet achieved the status of scales but that have been psychometrically derived to summarize data. To distinguish them from variables that actually have the characteristics we have described as necessary for achieving the lofty status of scales, we refer to them as assumed scales. Getting it correct or agreeing with it varies in a simple way across the latent scale.
Ordinal measurement in the behavioral sciences in SearchWorks catalog
For an ability item, the probability will increase as we go from persons of low ability to those of high. Various mathematical functions have been proposed for what this smooth curve should be, and some years ago it was suggested that the "logistic" function would be a good choice. The nature of the formula is illustrated in Fig.
The process involved the ordering of the applicants by means of tests but leaving the final selection to the industries using interviews Pfister,