Results 1 to 10 of about 199,732 (145)

Sample Size Justification

open access: yesCollabra: Psychology, 2021
An important step when designing a study is to justify the sample size that will be collected. The key aim of a sample size justification is to explain how the collected data is expected to provide valuable information given the inferential goals of the ...
D. Lakens
semanticscholar   +1 more source

A social identity model of system attitudes (SIMSA): Multiple explanations of system justification by the disadvantaged that do not depend on a separate system justification motive

open access: yesEuropean Review of Social Psychology, 2023
System justification theory (SJT) assumes that social identity theory (SIT) cannot fully account for system justification by members of low-status (disadvantaged) groups.
Mark Rubin   +3 more
semanticscholar   +1 more source

Justification for Adopting Qualitative Research Method, Research Approaches, Sampling Strategy, Sample Size, Interview Method, Saturation, and Data Analysis

open access: yesJournal of International Business and Management, 2021
Justifying the adoption of the qualitative research method to satisfy the examiners (for thesis) and reviewers (for journal articles) is a challenging task for researchers in business, management, marketing, tourism, hospitality and albeit in social ...

semanticscholar   +1 more source

On the Moral Justification of Statistical Parity [PDF]

open access: yesConference on Fairness, Accountability and Transparency, 2020
A crucial but often neglected aspect of algorithmic fairness is the question of how we justify enforcing a certain fairness metric from a moral perspective.
Corinna Hertweck   +2 more
semanticscholar   +1 more source

Statistical Control Requires Causal Justification

open access: yesAdvances in Methods and Practices in Psychological Science, 2020
It is common practice in correlational or quasiexperimental studies to use statistical control to remove confounding effects from a regression coefficient.
Anna C. Wysocki, K. Lawson, M. Rhemtulla
semanticscholar   +1 more source

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2019
We propose an unsupervised strategy for the selection of justification sentences for multi-hop question answering (QA) that (a) maximizes the relevance of the selected sentences, (b) minimizes the overlap between the selected facts, and (c) maximizes the
Vikas Yadav, Steven Bethard, M. Surdeanu
semanticscholar   +1 more source

Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability

open access: yesScience and Engineering Ethics, 2019
This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence (AI) technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed ...
Mark Coeckelbergh
semanticscholar   +1 more source

The justification for inclusive education in Australia

open access: yesProspects, 2020
This article discusses the justification for inclusive education in Australia, whilst being cognizant of the wider international landscape. Separate educational provision is increasing in many countries, including Australia.
C. Boyle, Joanna Anderson
semanticscholar   +1 more source

The Role of Internet-Specific Justification Beliefs in Source Evaluation and Corroboration During Web Search on an Unsettled Socio-Scientific Issue

open access: yesJournal of educational computing research, 2020
This study explored relationships between Internet-specific justification beliefs and source evaluation and corroboration during Web search. Fifty university students completed the Internet-Specific Epistemic Justification Inventory (ISEJ), which ...
Yvonne Kammerer   +2 more
semanticscholar   +1 more source

Where is Your Evidence: Improving Fact-checking by Justification Modeling

open access: yesFEVER@EMNLP, 2018
Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts. Wang (2017) introduced a large dataset of validated claims from the POLITIFACT.com website (LIAR dataset), enabling the development of machine ...
Tariq Alhindi, S. Petridis, S. Muresan
semanticscholar   +1 more source

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