A Mini-Review of Strategies for Quantifying Anthropogenic Activities in Microplastic Studies in Aquatic Environments

Microplastic pollution is no longer neglected worldwide, as recent studies have unveiled its potential harm to ecosystems and, even worse, to human health. Numerous studies have documented the ubiquity of microplastics, reflecting the necessity of formulating corresponding policies to mitigate the accumulation of microplastics in natural environments. Although anthropogenic activities are generally acknowledged as the primary source of microplastics, a robust approach to identify sources of microplastics is needed to provide scientific suggestions for practical policymaking. This review elucidates recent microplastic studies on various approaches for quantifying or reflecting the degree to which anthropogenic activities contribute to microplastic pollution. Population density (i.e., often used to quantify anthropogenic activities) was not always significantly correlated with microplastic abundance. Furthermore, this review argues that considering potential sources near sample sites as characteristics that may serve to predict the spatial distribution of microplastics in aquatic environments is equivocal. In this vein, a watershed-scale measure that uses land-cover datasets to calculate different percentages of land use in the watershed margins delineated by using Geographic Information System (GIS) software is discussed and suggested. Progress in strategies for quantifying anthropogenic activities is important for guiding future microplastic research and developing effective management policies to prevent microplastic contamination in aquatic ecosystems.

Optimal Experience in Adult Learning: Conception and Validation of the Flow in Education Scale (EduFlow-2)

While the formulation of Mihaly Csikszentmihalyi's theory of flow, including the experience dimensions, has remained stable since its introduction in 1975, its dedicated measurement tools, research methodologies, and fields of application, have evolved considerably. Among these, education stands out as one of the most active. In recent years, researchers have examined flow in the context of other theoretical constructs such as motivation. The resulting work in the field of education has led to the development of a new model for understanding flow experience in education, specifically dedicated to adult learning. As a result of both a meticulous analysis of existing models and consideration of more recent developments, a new flow scale has thus been developed. The aim of this study is therefore twofold: to validate the new flow measurement scale dedicated to the educational environment, EduFlow-2, and to test a new theoretical model. Students taking a course (N = 6,596), some on-site and others in a MOOC, participated. Several scales were administered online at the end of the participants' course during the 2017 academic year. The factor structure of EduFlow-2 was tested using Exploratory Structural Equation Modeling. Several models were tested. The model with a second-order factor best fit the data. We tested the invariance of the flow scale measure for gender and for the type of training (MOOC/on-site). We were able to show that the flow scale is invariant of the modalities of these two variables. Results revealed good psychometric qualities for the scale, making it suitable for both on-site and distance learning. The analysis also revealed significant relationships with the classic variables of motivation, self-efficacy, learning climate, and life satisfaction. Furthermore, all four dimensions of the model were found to be adequate and consistent with the underlying theoretical arguments. In the end, this new, short flow scale and the theoretical model were demonstrated to be promising for future studies in the field of education.

Consumers’ decision-making self-efficacy for service purchases: construct conceptualization and scale

Purpose The purpose of this study is to develop and validate a scale to determine the consumer’s level of decision-making self-efficacy for a high-involved service purchase, specifically the purchase of medical insurance. One question to ask is how service providers can help consumers purchase the services that best meet their needs? Before interventions can occur, it is necessary to benchmark consumers’ perceptions of their own decision-making control and abilities. Design/methodology/approach A scale that measures consumers’ service decision-making self-efficacy was developed using the principles established for scale development validation. A four-study approach was used to reach the research objective. Findings The research consisted of four studies designed to: generate items to measure consumer service decision-making self-efficacy (CSDMSE); purify the scale and assess its dimensionality (second-order structure); establish the reliability and validity of the scale; and establish norms to provide details on its usefulness for aiding consumers with service purchases. The scale was found to be a higher-order construct, comprising three lower-order constructs. Originality/value Research suggests that consumer self-efficacy may affect their decision-making. The greater the consumer’s self-efficacy for decision-making tasks, the more efficient the decision-making process strategies are expected to be. This is the purpose for which the CSDMSE scale measure was created: to understand how, where and when service professionals can assist consumers with making appropriate service-related decisions and purchases.

The relevance of geographic origin in sustainability challenge: the facets of country ecological image

Purpose Whilst country-of-origin (COO) effects have been studied extensively since the 1960s, little research has explored these effects with respect to ecological considerations. The purpose of this paper is to explore the COO ecological image (CEI) construct by defining its facets across consumers and professionals from two different countries, namely, France and Australia. Design/methodology/approach Because of the exploratory nature of the research, the authors used two qualitative techniques, namely, semi-structured interviews and focus groups. Findings Findings indicate the CEI construct is composed of eight dimensions, namely, policy, technological, economic, people characteristics, natural, climatic, historical and eco-product features. Research limitations/implications The research provides insights into the CEI construct and justifies future studies to develop a scale measure for it. However, the generalisability of the results must be considered limited due to the qualitative exploratory nature of the study. Practical implications The research offers implications for companies and policymakers by allowing them to understand how consumers form a CEI. It suggests new applications respective to how to leverage positive aspects of a CEI and how to mitigate negative ones. Originality/value The study extends the literature on COO by identifying the possible dimensions of the CEI construct, thus providing better insights into the little-explored link between COO and sustainable products.

Female mice exhibit a more sensitive automated squint response to pain induced by CGRP and amylin

We developed an automated squint assay using both black C57BL/6J and white CD1 mice that measured the interpalpebral fissure area between the upper and lower eyelids as an objective quantification of pain. In C57BL/6J mice, we observed a squint response to increasing doses of a migraine trigger, the neuropeptide CGRP, including a significant response in female mice at a dose below detection by the manual grimace scale. Using the automated software, both C57BL/6J and CD1 mice lacked a detectable photic blink response. The CGRP-related peptide amylin induced squinting behavior in female mice, but not males. These data demonstrate that an automated squint assay can be used as an objective, real-time continuous-scale measure of pain that provides higher precision and real-time analysis compared to manual grimace assessments.

Psychometric Examination of the Abbreviated Version of the Dual School Climate and School Identification Measure-Student (SCASIM-St15) in a Sample of Chilean Adolescents

School climate is a multidimensional construct that has been related to a series of psychological, social, and school variables. The dual school climate and school identification measure-student (SCASIM-St) is a measure that has a multidimensional factor structure, with four first-order factors and a second-order factor, plus an independent factor that evaluates school identification. However, the SCASIM-St is long, with 38 items measuring school climate. The first objective of this study was to examine the psychometric properties of reliability and validity of the abbreviated version of the dual school climate and school identification measure-student (SCASIM-St-15), for use in contexts with time limitations or for explanatory studies that need to apply multiple instruments simultaneously. The second objective was to analyze the degree of invariance for the groups: sex, type of education, and age. The sample was made up of 2,044 students of both sexes (49.1% women and 50.9% men), with a mean age of 14.64 (SD = 0.718), representing 27 secondary schools in Chile. The results indicated that the SCASIM-St15 presents adequate indicators of reliability and construct validity. Evidence of external criterion validity confirmed significant associations with the Attitudes to Institutional Authority in Adolescence Scale measure. The results of the factorial invariance analysis indicate that the SCASIM-St15 remains stable up to the level of metric invariance for the variable sex and the level of scalar invariance for the variables type of education and age. The study concluded that despite the significant decrease in the number of items, the SCASIM-St15 measures school climate in a reliable and valid way, without losing its theoretical and conceptual robustness.

Some new dynamic Steffensen-type inequalities on a general time scale measure space

<abstract><p>Our work is based on the multiple inequalities illustrated by Josip Pečarić in 2013, 1982 and Srivastava in 2017. With the help of a positive $ \sigma $-finite measure, we generalize a number of those inequalities to a general time scale measure space. Besides that, in order to obtain some new inequalities as special cases, we also extend our inequalities to discrete and continuous calculus.</p></abstract>

An Illustration of the Actual Steps in Development and Validation of a Multi-Item Scale for Quantitative Research

This chapter describes in detail the process used to develop and validate a scale that measures servant leadership. The steps covered include construct identification from previous studies, review of previously proposed and developed measures, item selection, survey development, collection of data, scale identification, and evaluation of convergent, discriminant, predictive validity. The chapter provides a hands-on example of the steps required for scale measure development and assessment and includes description of the mechanics involved in completing each step of this process.

Development of the Five-Factor Holistic Ethical Leadership Questionnaire

The authors present three studies that develop the five-scale measurement for holistic ethical leadership questionnaire. Study 1 reports the scale development process using predominately non-Western participants. Study 2 tests the five-scale instrument for convergent and discriminant validity as well as test-retest reliability using a subset of the sample who participated in Study 1. Study 3 used a sample of USA residents for confirmatory factor analysis from which a single factor emerged to measure holistic ethical leadership. The authors concluded that the five-scale instrument should be used when measuring non-Western participants and the single-scale should be used when measuring USA residents. The authors recommended follow-up research using qualitative methods to better understand the reasons why the single-scale measure works well with USA residents.