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Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
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The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
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In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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The Impacts of a Prototypical Home Visiting Program on Child Skills
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Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults.
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A system of classifying and measuring personality, emotion, and behaviour
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Classification and Analysis of Pre-Service Teachers’ Errors in Solving Fermi Problems
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In: Education Sciences ; Volume 11 ; Issue 8 (2021)
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Validation of a Brazilian Portuguese Measure of Family Resources in a Sample of Parents to Children with Congenital Zika Virus Syndrome
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In: Public Access Theses, Dissertations, and Student Research from the College of Education and Human Sciences (2021)
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Social Measurement and Causal Inference with Text
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In: Doctoral Dissertations (2021)
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Abstract:
The digital age has dramatically increased access to large-scale collections of digitized text documents. These corpora include, for example, digital traces from social media, decades of archived news reports, and transcripts of spoken interactions in political, legal, and economic spheres. For social scientists, this new widespread data availability has potential for improved quantitative analysis of relationships between language use and human thought, actions, and societal structure. However, the large-scale nature of these collections means that traditional manual approaches to analyzing content are extremely costly and do not scale. Furthermore, incorporating unstructured text data into quantitative analysis is difficult due to texts’ high-dimensional nature and linguistic complexity. This thesis blends (a) the computational strengths of natural language processing (NLP) and machine learning to automate and scale-up quantitative text analysis with (b) two themes central to social scientific studies but often under-addressed in NLP: measurement—creating quantifiable summaries of empirical phenomena—and causal inference—estimating the effects of interventions. First, we address measuring class prevalence in document collections; we contribute a generative probabilistic modeling approach to prevalence estimation and show empirically that our model is more robust to shifts in class priors between training and inference. Second, we examine cross- document entity-event measurement; we contribute an empirical pipeline and a novel latent disjunction model to identify the names of civilians killed by police from our corpus of web-scraped news reports. Third, we gather and categorize applications that use text to reduce confounding from causal estimates and contribute a list of open problems as well as guidance about data processing and evaluation decisions in this area. Finally, we contribute a new causal research design to estimate the natural indirect and direct effects of social group signals (e.g. race or gender) on conversational outcomes with separate aspects of language as causal mediators; this chapter is motivated by a theoretical case study of U.S. Supreme Court oral arguments and the effect of an advocate’s gender on interruptions from justices. We conclude by discussing the relationship between measurement and causal inference with text and future work at this intersection.
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Keyword:
Artificial Intelligence and Robotics; causal inference; computational social science; Data Science; measurement; natural language processing; text-as-data
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URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3432&context=dissertations_2
https://scholarworks.umass.edu/dissertations_2/2347
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Pretesting Flow Questionnaire Design Using Eye-Tracking: An Exploratory Study
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In: Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric, Vol 19, Iss 1, Pp 102-117 (2021) (2021)
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МОНИТОРИНГ РАСПРЕДЕЛИТЕЛЬНОЙ ЭЛЕКТРИЧЕСКОЙ СЕТИ НА БАЗЕ КОГНИТИВНЫХ ИЗМЕРЕНИЙ ... : MONITORING OF THE ELECTRICAL DISTRIBUTION NETWIRK BASED ON COGNITIVE MEASUREMENTS ...
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How Approaches to Animal Swarm Intelligence Can Improve the Study of Collective Intelligence in Human Teams
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In: Journal of Intelligence ; Volume 8 ; Issue 1 (2020)
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Using Healthcare Data in Embedded Pragmatic Clinical Trials among People Living with Dementia and Their Caregivers: State of the Art
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Semantic stability in social tagging streams
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In: Proceedings of the 23rd International Conference on World Wide Web 2014 ; 735-746 ; International Conference on World Wide Web (WWW'14) ; 23 (2020)
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Comparability and measurement in typological science: The bright future for linguistics
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Treatment Effects and the Measurement of Skills in a Prototypical Home Visiting Program
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Are We Getting It Right for our Translation Programs… A Tentative Method to Measure if we are
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In: Translation and Language Teaching – Continuing the Dialogue ; https://hal.archives-ouvertes.fr/hal-03187165 ; Translation and Language Teaching – Continuing the Dialogue, Cambridge Scholars Publishing, pp. 215-237, 2019, 1-5275-3462-6 (2019)
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Community Policing and Intelligence-Led Policing: An Examination of Convergent or Discriminant Validity
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In: Author (2019)
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Women through the glass ceiling: gender asymmetries in Wikipedia
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In: EPJ Data Science ; 5 ; 1-24 (2019)
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