کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6799245 | 1433256 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimating the expected value and variance of SDT indexes with heterogeneous individuals
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Several methods of calculating the variance of the more popular parametric indexes of signal detection theory (SDT) have been proposed. Miller's exact method and Gourevitch and Galanter's approximate method have proved appropriate for most practical situations using yes-no detection paradigms. Those methods, specifically developed for single-point estimates, are also useful for a sample of estimates that share their parametric values of sensitivity and bias, δ and C, respectively. However, sometimes it has been observed that the empirical variances of the estimates, ÏËdâ²2 and ÏËc2, exceeds by several factors the expected values calculated by the above methods. These discrepancies can be due to a number of reasons, perhaps the most likely one being that the sample of observers or participants is not actually homogeneous. We present further developments of those two methods for calculating the variance of the indexes, dâ² and c, when the samples are heterogeneous in sensitivity and/or bias. Simulation studies show that our formulas provide reasonably accurate estimates of the variance of dâ² and c.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Mathematical Psychology - Volume 83, April 2018, Pages 12-23
Journal: Journal of Mathematical Psychology - Volume 83, April 2018, Pages 12-23
نویسندگان
Manuel Suero, Juan Botella, Jesús Privado,