scholarly journals The Effect of Item Preknowledge on Response Time: Analysis of an Experimental Dataset Using the Multiple-Group Lognormal Response Time Model with a Gating Mechanism

2020 ◽  
Author(s):  
Cengiz Zopluoglu ◽  
Murat Kasli ◽  
Sarah Linnea Toton

Response time information has recently attracted a significant amount of attention in the literature as it may provide meaningful information about item preknowledge. The methods that propose the use of response time information in identifying examinees with potential item preknowledge make an implicit assumption that the examinees with item preknowledge differ in their response time patterns compared to other examinees without item preknowledge. In this study, we analyzed the differences in response time of examinees with potential item preknowledge and examinees without item preknowledge based on a real experimental dataset provided by Toton and Maynes (2019). A multiple-group extension of van der Linden’s Lognormal Response Model with a gating mechanism was used to capture the differences in latent speed for control and experimental groups on disclosed and undisclosed items. The model used in the study and estimated parameters from this experimental dataset may inform future simulation studies in this area of research to simulate realistic datasets with item preknowledge behavior.

2020 ◽  
Author(s):  
Murat Kasli ◽  
Cengiz Zopluoglu ◽  
Sarah Linnea Toton

Response time (RT) information has recently attracted a significant amount of attention in the literature as it may provide meaningful information about item preknowledge. In this study, a Deterministic Gated Lognormal Response Time (DG-LNRT) model is proposed to identify examinees with potential item preknowledge using RT information. The proposed model is applied to a real experimental dataset provided by Toton and Maynes (2019) in which item preknowledge was manipulated, and its performance is demonstrated. Then, the performance of the DG-LNRT model is investigated through a simulation study. The model is estimated using the Bayesian framework via Stan. The results indicate that the proposed model is viable and has the potential to be useful in detecting cheating by using response time differences between compromised and uncompromised items.


2014 ◽  
Author(s):  
Gabriel Tillman ◽  
Don van Ravenzwaaij ◽  
Scott Brown ◽  
Titia Benders

Author(s):  
Abdullah Cihan

Purpose – The purpose of this paper is to examine whether the distribution of police response time to in-progress burglaries differ according to the level of social disorganization across different neighborhoods. Design/methodology/approach – Using 2006 calls for service data collected from the Dallas and Houston Police Departments and from the 2000 US Bureau of Census statistics, the effects of social disorganization on police performance were examined through multilevel analysis of the distribution of police response time patterns across different neighborhoods in Dallas and Houston. Findings – The analysis of the DPD and HPD in-progress calls produced somewhat consistent findings on the relationship between the level of social disorganization and police response time. Concentrated disadvantage, immigrant concentration, and residential stability are important predictors of the distribution of police response time patterns in Dallas and Houston. Practical implications – Neighborhood social disorganization is related to the distribution of agency response time patterns. Detailed response time analysis is crucial for agencies to improve police performance and the community-police relationship. Originality/value – In the policing literature, researchers have tended to neglect rapid response when examining many aspects of policing. The present study expands on existing research by examining the theoretical link between the level of neighborhood social disorganization with the distribution of rapid police response to in-progress burglary in two cities.


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