A Bottom-Up Approach to Examining Group-Level Communication Patterns: A Multilevel Latent Profile Analysis of Functional Group Interaction

Bonito, Joseph A.

doi:10.1093/hcr/hqy020

Cited by 8 publications

(3 citation statements)

References 61 publications

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“…Entropy is referred to “the overall degree of classification uncertainty in the solution” (Lanza & Bray, 2010 , p. 4), ranging from 0 (complete uncertainty) to 1 (complete certainty). Entropy values above 0.80 are typically viewed as adequate or high (Bonito, 2019 ; Clark & Muthén, 2009 ). Table 3 included the classification accuracy of the four-profile model and the number of the students in each profile.…”

Section: Resultsmentioning

confidence: 99%

Empirically derived profiles of homework purposes in eleventh grade students: a latent profile analysis

2021

Curr Psychol

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Informed by expectation-value theory and related literature, the goal of the current investigation was to identify profiles of students drawn from three purposes of homework (academic, self-regulatory, and approval-seeking). Participants were 750 eleventh-grade students in China. Results from latent profile analysis (LPA) revealed identified four different profiles of students: Very Low Profile (very low in all purposes; 5.73%), Low Profile (low in all purposes; 30.40%), Moderate Profile (moderate in all purposes; 54.40%), and High Profile (high in all purposes; 9.47%). Results further revealed that student gender was associated with profile membership. Finally, profile membership was significantly related to homework effort and completion (with a medium effect size) in that, in general, the higher the homework purposes, the higher the homework effort and homework completion.

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Section: Resultsmentioning

confidence: 99%

Empirically derived profiles of homework purposes in eleventh grade students: a latent profile analysis

2021

Curr Psychol

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“…MLPA enables the different levels of the data to be taken into account when modelling the phenomena of interest (Mäkikangas et al, 2018). In this research, we follow the steps outlined by Mäkikangas et al (2018) and Bonito (2019) to perform MLPA on the value orientations and climate change beliefs: (1) identifying optimal single‐level LPA, (2) examining level 2 variations in the size of level 1 profiles and (3) examining level 2 profiles based on the relative frequency of level 1 profiles.…”

Section: Methodsmentioning

confidence: 99%

Fulfilling expectations or overachieving: The role of market values in the linkage between environmental and financial performance

et al. 2021

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This article adds the influence of institutional settings in the relationship between companies' environmental and financial performance by arguing that firms can leverage their financial performance by conforming to individual values prevalent in (inter) national markets. The values and environmental beliefs of individuals, as available in European Social Survey 2016, were studied together with the environmental and financial performance data of European companies from the Eikon database (n = 920). Countries were grouped based on acquired individual-level behavioural profiles through multilevel latent profile analysis. Moderation analysis was then utilised to determine the effect of country group on the relationship between the companies' environmental and financial performance. Results indicated that the relationship is negative in countries where disregarding environmentalism-related values is relatively more common. Moreover, businesses should be aware of and comply with market values to avoid costs and capitalise on environmental performance.

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“…It represents the bottom-up approach whereby we begin with a small group of pixels and gradually accumulate or merge them depending on pre-determined resemblance restrictions [6]. The region growth method begins by selecting a random seed image in the picture and comparing it to its neighbors.…”

Section: Growing Regionmentioning

confidence: 99%

Survey on Artificial Intelligence based Image Processing and Image Segmentation analysis

Kurokawa

2021

JBSHA

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This paper critically surveys the aspect of digitalized image processing and segmentation with central focus on artificial intelligence. A digitalized image is composed of numerous elements that must be "analyzed," since better “phrasing”, and the "research" done on such elements might disclose a lot of strange data. This data may assist in solving a variety of business challenges, which is one of the numerous end objectives associated with image processing. Digital image analysis of image processing is a collection of methodologies applied to process computerized images. It integrates accomplishing basis assignments such noise minimization and more complex assignments such as image classification, fault diagnostics, emotional response, image fragmentation and image segmentation. Image enhancement applying neural networks has, over the past few decades, been applied widely in the clinical setting due to the advent of advanced computing ecosystems and algorithms. Medicine, industries, police departments, agriculture, defense, finance and security are some of the additional domains where the concept of image processing and segmentation can be applied.

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A Bottom-Up Approach to Examining Group-Level Communication Patterns: A Multilevel Latent Profile Analysis of Functional Group Interaction

Cited by 8 publications

References 61 publications

Empirically derived profiles of homework purposes in eleventh grade students: a latent profile analysis

Empirically derived profiles of homework purposes in eleventh grade students: a latent profile analysis

Fulfilling expectations or overachieving: The role of market values in the linkage between environmental and financial performance

Survey on Artificial Intelligence based Image Processing and Image Segmentation analysis

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