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Declan Devlin; Korbinian Moeller; Iro Xenidou-Dervou; Bert Reynvoet; Francesco Sella – Cognitive Science, 2024
In order processing, consecutive sequences (e.g., 1-2-3) are generally processed faster than nonconsecutive sequences (e.g., 1-3-5) (also referred to as the reverse distance effect). A common explanation for this effect is that order processing operates via a memory-based associative mechanism whereby consecutive sequences are processed faster…
Descriptors: Cognitive Processes, Comparative Analysis, Decision Making, Memory
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Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
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Timothy J. Wood; Vijay J. Daniels; Debra Pugh; Claire Touchie; Samantha Halman; Susan Humphrey-Murto – Advances in Health Sciences Education, 2024
First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…
Descriptors: Evaluators, Work Environment, Decision Making, Video Technology
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Tenko Raykov; Christine DiStefano; Lisa Calvocoressi – Educational and Psychological Measurement, 2024
This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…
Descriptors: Bayesian Statistics, Models, Decision Making, Comparative Analysis
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Judith Schoonenboom – Journal of Mixed Methods Research, 2024
Fetters et al.'s (2013) mixed methods integration framework uses construction metaphors: building, connecting, merging, and embedding. In a similar vein, this article uses an architectural metaphor and introduces design patterns as building blocks for mixed methods research design. A design pattern embeds one specific design decision into its…
Descriptors: Mixed Methods Research, Research Design, Comparative Analysis, Figurative Language
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Ziren Jiang; Joseph C. Cappelleri; Margaret Gamalo; Yong Chen; Neal Thomas; Haitao Chu – Research Synthesis Methods, 2024
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…
Descriptors: Comparative Analysis, Decision Making, Health Services, Computer Oriented Programs
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Andrew F. Miller; Maria Moreno Vera; Kierstin Giunco – Journal of Educational Administration, 2025
Purpose: Diocesan systems of Catholic schools in the USA have been trying to make urban elementary schools more sustainable in an era of declining enrollment. This paper sought to better understand how system and school leaders conceptualize what it takes to "sustain the legacy" of these schools. Design/methodology/approach: We conducted…
Descriptors: Catholic Schools, Urban Schools, Elementary Schools, Declining Enrollment
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Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
Lucy Chambers; Emma Walland; Jo Ireland – Research Matters, 2024
Comparative Judgement (CJ) is traditionally and primarily used to compare written texts. In this study we explored whether we could extend its use to comparing audio files. We used GCSE Music portfolios which contained a mix of audio recordings, musical scores and text documents. Fifteen judges completed two exercises: one comparing musical…
Descriptors: Evaluative Thinking, Judges, Comparative Analysis, Reliability
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Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
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Bogaard, Glynis; Nußbaum, Madeleine; Schlaudt, Laura Sophie; Meijer, Ewout H.; Nahari, Galit; Vrij, Aldert – Applied Cognitive Psychology, 2022
In a comparable truth baseline (CTB), a knowingly truthful baseline statement is compared to a statement of interest, and deviations in verbal details possibly indicate deceit. In two experiments, we investigated whether a CTB can improve truth/lie discrimination when verbal details are coded by independent raters (Experiment 1) and when judged by…
Descriptors: Deception, Ethics, Comparative Analysis, Decision Making
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Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
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Shijie Ren; Sa Ren; Nicky J. Welton; Mark Strong – Research Synthesis Methods, 2024
Population-adjusted indirect comparisons, developed in the 2010s, enable comparisons between two treatments in different studies by balancing patient characteristics in the case where individual patient-level data (IPD) are available for only one study. Health technology assessment (HTA) bodies increasingly rely on these methods to inform funding…
Descriptors: Medical Research, Outcomes of Treatment, Standards, Safety
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Carolyn Palmquist; Robyn Kondrad – Journal of Cognition and Development, 2024
Three-year-olds often respond to lies as if they were true or with no clear rationale. Individual differences influence children's processing of misinformation. Here, we explore how two contextual cues (children's conflicting first-hand knowledge and different information sources) affect their ability to correctly interpret and respond to…
Descriptors: Information Sources, Misinformation, Comparative Analysis, Decision Making
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Tsai, Pei-Chun; Sachdeva, Chhavi; Gilbert, Sam J.; Scarampi, Chiara – Applied Cognitive Psychology, 2023
Saving information onto external resources can improve memory for subsequent information--a phenomenon known as the saving-enhanced memory effect. This article reports two preregistered online experiments investigating (A) whether this effect holds when to-be-remembered information is presented before the saved information and (B) whether people…
Descriptors: Memory, Decision Making, Word Lists, Learning Strategies
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