Computing discriminability and bias with the R software

نویسنده

  • Christophe Pallier
چکیده

Psychologists often model detection or discrimination decisions as being influenced by two components: perceptual discriminability and response bias. In the signal detection framework, these are estimated by d and β. Other, non-parametric parameters, A and B D , have also been proposed. This note provides the code to compute those parameters with the statistical software R (http://www.r-project.org).

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effect of Amnesia Mild Cognitive Impairment and Alzheimer’s Diseaseon Recognition Memory of Elderly Peoplein Shiraz Verbal Learning Test: Differences in Recognition Discriminability and Response Bias

Background: Most studies have investigated the effect of brain pathological aging on information recall and recognition memory performance of patients (by using a yes/no procedure), and for this reason, provide a partial picture of memory deficits and other factors involved in recognition memory such as discriminability and response bias are not considered. In this regard, the aim of present st...

متن کامل

Computing tolerance interval for binomial random variable

Tolerance interval is a random interval that contains a proportion of the population with a determined confidence level and is applied in many application fields such as reliability and quality control. In this educational paper, we investigate different methods for computing tolerance interval for the binomial random variable using the package Tolerance in statistical software R. 

متن کامل

A comparative study of quantitative mapping methods for bias correction of ERA5 reanalysis precipitation data

This study evaluates the ability of different quantitative mapping (QM) methods as a bias correction technique for ERA5 reanalysis precipitation data. Climate type and geographical location can affect the performance of the bias correction method due to differences in precipitation characteristics. For this purpose, ERA5 reanalysis precipitation data for the years 1989-2019 for 10 selected syno...

متن کامل

INTERVAL ANALYSIS-BASED HYPERBOX GRANULAR COMPUTING CLASSIFICATION ALGORITHMS

Representation of a granule, relation and operation between two granules are mainly researched in granular computing. Hyperbox granular computing classification algorithms (HBGrC) are proposed based on interval analysis. Firstly, a granule is represented as the hyperbox which is the Cartesian product of $N$ intervals for classification in the $N$-dimensional space. Secondly, the relation betwee...

متن کامل

Ontology matching benchmarks: Generation, stability, and discriminability

The OAEI Benchmark test set has been used for many years as a main reference to evaluate and compare ontology matching systems. However, this test set has barely varied since 2004 and has become a relatively easy task for matchers. In this paper, we present the design of a flexible test generator based on an extensible set of alterators which may be used programmatically for generating differen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002