Practice for Defining and Calculating Individual and Group Sensory Thresholds from Forced-Choice Data Sets of Intermediate Size

2011 ◽  
Author(s):  
Keyword(s):  
Forced Choice ◽  
Data Sets ◽  
Sensory Thresholds ◽  
Choice Data ◽  
Intermediate Size

scholarly journals Gaze Amplifies Value in Decision Making

2018 ◽  
Vol 30 (1) ◽  
pp. 116-128 ◽  
Author(s):  
Stephanie M. Smith ◽  
Ian Krajbich
Keyword(s):  
Response Times ◽  
Data Sets ◽  
Choice Data ◽  
Data Set ◽  
Choice Process ◽  
The Gaze ◽  
Large Sets ◽  
Subjective Value ◽  
Amplifying Effect ◽  
Familiar Stimuli

When making decisions, people tend to choose the option they have looked at more. An unanswered question is how attention influences the choice process: whether it amplifies the subjective value of the looked-at option or instead adds a constant, value-independent bias. To address this, we examined choice data from six eye-tracking studies ( Ns = 39, 44, 44, 36, 20, and 45, respectively) to characterize the interaction between value and gaze in the choice process. We found that the summed values of the options influenced response times in every data set and the gaze-choice correlation in most data sets, in line with an amplifying role of attention in the choice process. Our results suggest that this amplifying effect is more pronounced in tasks using large sets of familiar stimuli, compared with tasks using small sets of learned stimuli.

Correcting Two-Alternative Forced-Choice Data for Response Bias

1971 ◽  
Vol 32 (2) ◽  
pp. 533-534 ◽  
Author(s):  
Carl Auerbach
Keyword(s):  
Normal Distribution ◽  
Response Bias ◽  
Forced Choice ◽  
Choice Data

A method for correcting two-alternative forced-choice data for response bias is presented which requires only a table of integrals of a normal distribution.

scholarly journals Bias effects in a two-stage recognition paradigm: A challenge for ‘pure’ threshold and signal detection models

2021 ◽  
Author(s):  
Qiuli Ma ◽  
Jeffrey Joseph Starns ◽  
David Kellen
Keyword(s):  
Signal Detection ◽  
Forced Choice ◽  
Dual Process ◽  
High Threshold ◽  
Word Target ◽  
Choice Data ◽  
Two Stage ◽  
Unequal Variance ◽  
Single Item

We explored a two-stage recognition memory paradigm in which people first make single-item “studied”/“not studied” decisions and then have a chance to correct their errors in forced-choice trials. Each forced-choice trial included one studied word (“target”) and one non-studied word (“lure”) that received the same previous single-item response. For example, a “studied”-“studied” trial would have a target that was correctly called “studied” and a lure that was incorrectly called “studied.” The two-high-threshold (2HT) model and the unequal-variance signal detection (UVSD) model predict opposite effects of biasing the initial single-item responses on subsequent forced-choice accuracy. Results from two experiments showed that the bias effect is actually near zero and well out of the range of effects predicted by either model. Follow-up analyses showed that the model failures were not a function of experiment artifacts like changing memory states between the two types of recognition trials. Follow-up analyses also showed that the dual process signal detection (DPSD) model made better predictions for the forced-choice data than 2HT and UVSD models.

scholarly journals Forced-Choice Assessment of Work-Related Maladaptive Personality Traits: Preliminary Evidence From an Application of Thurstonian Item Response Modeling

Assessment ◽  
2016 ◽  
Vol 25 (4) ◽  
pp. 513-526 ◽  
Author(s):  
Nigel Guenole ◽  
Anna A. Brown ◽  
Andrew J. Cooper
Keyword(s):  
Item Response ◽  
Goodness Of Fit ◽  
Stimulus Item ◽  
Forced Choice ◽  
Single Stimulus ◽  
Response Model ◽  
Item Response Model ◽  
Choice Data ◽  
Item Response Modeling ◽  
Response Modeling

This article describes an investigation of whether Thurstonian item response modeling is a viable method for assessment of maladaptive traits. Forced-choice responses from 420 working adults to a broad-range personality inventory assessing six maladaptive traits were considered. The Thurstonian item response model’s fit to the forced-choice data was adequate, while the fit of a counterpart item response model to responses to the same items but arranged in a single-stimulus design was poor. Monotrait heteromethod correlations indicated corresponding traits in the two formats overlapped substantially, although they did not measure equivalent constructs. A better goodness of fit and higher factor loadings for the Thurstonian item response model, coupled with a clearer conceptual alignment to the theoretical trait definitions, suggested that the single-stimulus item responses were influenced by biases that the independent clusters measurement model did not account for. Researchers may wish to consider forced-choice designs and appropriate item response modeling techniques such as Thurstonian item response modeling for personality questionnaire applications in industrial psychology, especially when assessing maladaptive traits. We recommend further investigation of this approach in actual selection situations and with different assessment instruments.

scholarly journals Testing Transitivity of Preferences on Two-Alternative Forced Choice Data

2010 ◽  
Vol 1 ◽  
Author(s):  
Michel Regenwetter ◽  
Jason Dana ◽  
Clintin P. Davis-Stober
Keyword(s):  
Forced Choice ◽  
Choice Data
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