Methodological challenges for a new philosophy of technology

2021 ◽  
pp. 150-154
Author(s):  
Cristina Pontes Bonfiglioli
Keyword(s):  
Philosophy Of Technology ◽  
Associate Professor ◽  
Methodological Challenges ◽  
Traditional Approaches

Nicola Liberati, Associate Professor at Shanghai Jiao Tong University (Dept. of Philosophy, School of Humanities), presents us with his unique view of how Philosophy of Technology can move beyond traditional approaches in Philosophy of Technology to solve current problems we see emerging from the use of the latest technologies in contemporaneity.

Pragmatic versus Morphological/Syntactic Criteria for Language Referrals

1980 ◽  
Vol 11 (2) ◽  
pp. 85-94 ◽  
Author(s):  
Jack Damico ◽  
John W. Oller
Keyword(s):  
Grade Level ◽  
The State ◽  
Verb Agreement ◽  
Remedial Programs ◽  
Service Training ◽  
Traditional Approaches ◽  
Communicative Effectiveness

Two methods of identifying language disordered children are examined. Traditional approaches require attention to relatively superficial morphological and surface syntactic criteria, such as, noun-verb agreement, tense marking, pluralization. More recently, however, language testers and others have turned to pragmatic criteria focussing on deeper aspects of meaning and communicative effectiveness, such as, general fluency, topic maintenance, specificity of referring terms. In this study, 54 regular K-5 teachers in two Albuquerque schools serving 1212 children were assigned on a roughly matched basis to one of two groups. Group S received in-service training using traditional surface criteria for referrals, while Group P received similar in-service training with pragmatic criteria. All referrals from both groups were reevaluated by a panel of judges following the state determined procedures for assignment to remedial programs. Teachers who were taught to use pragmatic criteria in identifying language disordered children identified significantly more children and were more often correct in their identification than teachers taught to use syntactic criteria. Both groups identified significantly fewer children as the grade level increased.

Parasocial Interaction as More Than Friendship

2011 ◽  
Vol 23 (3) ◽  
pp. 122-132 ◽  
Author(s):  
Jayson L. Dibble ◽  
Sarah F. Rosaen
Keyword(s):  
Parasocial Interaction ◽  
Future Research ◽  
Two Measures ◽  
Traditional Approaches

This study supports the refinement of the concept of parasocial interaction (PSI) to apply to mediated personae that viewers might dislike. By contrast, traditional approaches have treated PSI as a sort of friendship with the mediated persona. Participants (N = 249) were randomly assigned to self-select a liked or disliked television persona. Various viewer reactions to that character were measured using two different measures of PSI. The data revealed that participants did experience PSI with disliked characters as well as liked characters, and that the two measures of PSI did not appear to assess the same construct. Implications for future research are discussed.

The Neuropsychology of Dementia: Modular and Traditional Approaches

1993 ◽  
Vol 38 (8) ◽  
pp. 808-810
Author(s):  
Howard S. Kirshner
Keyword(s):  
Traditional Approaches

Well-being therapy for couples: An adjunct to traditional approaches

2011 ◽  
Author(s):  
M. Luntz ◽  
B. Nierenberg ◽  
R. Freed
Keyword(s):  
Well Being ◽  
Traditional Approaches

Missing Data - Better "Not to Have Them", but What If You Do? (Part 1)

Marketing ZFP ◽  
2019 ◽  
Vol 41 (4) ◽  
pp. 21-32
Author(s):  
Dirk Temme ◽  
Sarah Jensen
Keyword(s):  
Missing Data ◽  
Statistical Power ◽  
Missing Values ◽  
Graphical Representation ◽  
Marketing Research ◽  
Likelihood Estimation ◽  
Parameter Estimates ◽  
Full Information Maximum Likelihood ◽  
Definition Of ◽  
Traditional Approaches

Missing values are ubiquitous in empirical marketing research. If missing data are not dealt with properly, this can lead to a loss of statistical power and distorted parameter estimates. While traditional approaches for handling missing data (e.g., listwise deletion) are still widely used, researchers can nowadays choose among various advanced techniques such as multiple imputation analysis or full-information maximum likelihood estimation. Due to the available software, using these modern missing data methods does not pose a major obstacle. Still, their application requires a sound understanding of the prerequisites and limitations of these methods as well as a deeper understanding of the processes that have led to missing values in an empirical study. This article is Part 1 and first introduces Rubin’s classical definition of missing data mechanisms and an alternative, variable-based taxonomy, which provides a graphical representation. Secondly, a selection of visualization tools available in different R packages for the description and exploration of missing data structures is presented.

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