Using Linguistic Corpora as a Philosophical Tool

The central aims of this paper are to show how linguistic corpora have been used and can be used in philosophy and to argue that linguistic corpora and corpus analysis should be added to the philosopher’s toolkit of ways to address philosophical questions. A linguistic corpus is a curated collection of texts representing language use that can be queried to answer research questions. Among many other uses, linguistic corpora can help answer questions about the meaning of words and the structure of discourse. Through a discussion of examples, the paper shows that there are many philosophical questions that can be addressed by using a linguistic corpus. However, linguistic corpora need not (and often cannot) replace traditional philosophical methods. Lastly, it argues that the special properties of linguistic corpora, including their independence and the current ease and cheapness of access, make them an indispensable resource for philosophers.     

Effects of making errors in learning a foreign language

ABSTRACT

Kornell, Hays, and Bjork ([2009]. Unsuccessful retrieval attempts enhance subsequent learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 989–998) showed that incorrect guesses do not necessarily harm and might even improve the retention of information on a subsequent test. We sought to replicate the finding using educationally relevant stimuli. In two experiments, our participants either translated sentences in a foreign language receiving immediate feedback (errorful condition), or copied and studied the correct translation (errorless condition). After this training phase, a final test with the same sentences showed that translating sentences wrongly during training did not lower the accuracy of the errorful as compared to the errorless condition. Overall there was evidence that errorful training produced superior learning of the meaning and grammar of the foreign language sentences. The results support the idea that search processes activate a greater network of related knowledge in the errorful than in the errorless condition.     

Stopping Rules for Computer Adaptive Testing When Item Banks Have Nonuniform Information

The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the SE is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative symptoms), and the bank may lack depth for many individuals. In such cases, the predicted standard error reduction (PSER) stopping rule will stop the CAT even if the SE threshold has not been reached and can avoid administering excessive questions that provide little additional information. By tuning the parameters of the PSER algorithm, a practitioner can specify a desired tradeoff between accuracy and efficiency. Using simulated data for the Patient-Reported Outcomes Measurement Information System Anxiety and Physical Function banks, we demonstrate that these parameters can substantially impact CAT performance. When the parameters were optimally tuned, the PSER stopping rule was found to outperform the SE stopping rule overall, particularly for individuals not targeted by the bank, and presented roughly the same number of items across the trait continuum. Therefore, the PSER stopping rule provides an effective method for balancing the precision and efficiency of a CAT.     

From elementary school to midlife: Childhood personality predicts behavior during cognitive testing over four decades later

The current study uses a prospective, longitudinal design and lifespan perspective to understand how child personality relates to directly observed adult behavior during cognitive testing. Teacher assessments of child Big Five personality in elementary school were correlated with directly observed behaviors during a videotaped cognitive test four decades later. Past work suggested Openness and Conscientiousness may relate to task-relevant academic behaviors. Childhood Openness was associated with several behaviors, even after controlling for participant’s cognitive performance. Childhood Conscientiousness was also related to behavior, but not as expected. Other Big Five ratings were not reliably related to behavior. The study examined personality stability in a unique way and suggests a further examination of how Openness in children manifests in later behavior.