A New Opinion Polarization Index Developed by Integrating Expert Judgments

Opinion polarization is increasingly becoming an issue in today’s society, producing both unrest at the societal level, and conflict within small scale communications between people of opposite opinion. Often, opinion polarization is conceptualized as the direct opposite of agreement and consequently operationalized as an index of dispersion. However, in doing so, researchers fail to account for the bimodality that is characteristic of a polarized opinion distribution. A valid measurement of opinion polarization would enable us to predict when, and on what issues conflict may arise. The current study is aimed at developing and validating a new index of opinion polarization. The weights of this index were derived from utilizing the knowledge of 58 international experts on polarization through an expert survey. The resulting Opinion Polarization Index predicted expert polarization scores in opinion distributions better than common measures of polarization, such as the standard deviation, Van der Eijk’s polarization measure and Esteban and Ray’s polarization index. We reflect on the use of expert ratings for the development of measurements in this case, and more in general.

The Fear of Covid-19 Scale (FCV-19S) in Spain: Adaptation and Confirmatory Evidence of Construct and Concurrent Validity

Fear of the coronavirus has important implications on mental health. In western countries, a significant degree of vaccination has been achieved, but in Spain, less than 75% of the population has received both doses. The current situation is still seen as a threat by many people. Therefore, it is important to have reliable and valid measurement instruments to assess the impact of COVID-19 on the population. In this study, the Fear of COVID-19 Scale has been adapted to Spain, and its psychometric properties have been studied in a Spanish sample using Structural Equation Modeling. This methodology allows obtaining more reliable estimates, regardless of the measurement scale of the variables. The unifactorial structure was confirmed. The correlations with Neuroticism were statistically significant, and the concurrent validity structural equation model yielded good fit indices. However, neither age nor belonging to a risk group directly predict fear of the coronavirus in this sample, but gender and neuroticism are direct predictors. Likewise, neuroticism mediates the relationship between age and fear of COVID-19, and between gender and fear of COVID-19. So being young and being a woman show high scores on neuroticism, leading to their most intense fear of COVID-19. With this reliable and valid measurement instrument, it will be possible to assess the degree of fear of the coronavirus in the Spanish population and improve psychological interventions.

Developing a measurement scale for employee engagement: a validation study in a South Korean context

Purpose The purpose of this paper is to develop a reliable and valid measurement scale of employee engagement that can be used in human resources departments in any industry field. Design/methodology/approach This study used the measurement development process with three steps. The first step was to generate items for measuring employee engagement. For this reason, the authors proposed an integrated conceptual model based on the results of a literature review and justify the concepts from self-determination theory and person-environment fit theory as the theoretical foundation. The second step was to determine the types of questions suitable for measurement, examining the content validity. Content validity was conducted two times by the group, academic experts and business practitioners. The last step was to examine the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), multi-group analysis and reliability with 352 survey responses from the South Korean business context. Findings Findings of the measurement scale development procedure, i.e. employee engagement, should be managed in a balanced manner in all dimensions, as it is composed of four dimensions (person engagement, work engagement, organization engagement and relation engagement) and 16 sub-factors. Additionally, organization engagement was the major factor among the four dimensions of employee engagement with the highest variance explanation. From the statistical standpoint, the employee engagement scale (EES) is possible to use in any industry field because it demonstrated not only content validity and internal consistency reliability but also the three steps of factor analysis (EFA, CFA and multi-group analysis). Research limitations/implications This survey was conducted with an assistant manager located in Korea. Therefore, it will be necessary to analyze both leader and employee engagement for those who live in foreign countries. The EES is useful to leaders and human resource managers because it is applicable to managing engagement levels of employees and fosters customized training programs. Originality/value This is the first study to develop measurement tools for employee engagement in South Korea. In addition, most studies demonstrated that individual feeling was valued to drive employee engagement. This research, however, proposes an extended concept of employee engagement for four dimensions (person, work, relation and organization) and emphasizes the important relationship between individuals and colleagues in an organization. Based on these results, a theoretically integrated model of employee engagement was developed and a practically valid measurement tool for capturing comprehensive domains of employee engagement was proposed.

Social Media and Well-being: Time to Abandon the Active-Passive Dichotomy

A recurring claim in the literature is that “active” social media use (ASMU) leads to increases in well-being, whereas “passive” social media use (PSMU) leads to decreases in well-being. The aim of this scoping review was to investigate the validity of this claim by comparing the results of studies that appeared after the meta-analysis of Liu et al. (2019). We found 27 studies focusing on 85 different associations of ASMU or PSMU with well-being. Results showed that studies used a hodgepodge of operationalizations of ASMU and PSMU. Some mixed up private (e.g., direct messaging) and public (e.g., posting, browsing) ASMU and/or PSMU, which is problematic, because private SMU is more synchronous and intimate than public SMU, which may lead to different effects. The majority of the cross-sectional, virtually all the longitudinal, and most of the experience sampling studies disconfirmed the hypothesized associations of ASMU and PSMU with well-being. Moreover, the experiments revealed that the effects of PSMU depend on the content and sender of the posts. Our results indicate that it is time to abandon the active-passive dichotomy and replace it with a more valid measurement of SMU that takes characteristics of SM content, senders, and receivers into account.

Approaches for Modeling of Intensive Longitudinal Data to Understand Cognitive Aging

Understanding age-related change in cognition and identification of pathological changes requires sensitive and valid measurement of cognitive performance across time. Technological advances, such as ambulatory assessment of cognition using smartphones, have enabled intensive longitudinal methods where data is collected with many measurements over time. Our research group has developed novel ambulatory assessments that provide reliable, sensitive, and ecologically valid measurement of cognition across multiple timescales; from momentary changes to change across years. This symposium will present a spectrum of approaches to analysis of intensive longitudinal data that can inform models of cognitive aging. All three presentations will draw on data from measurement burst studies that apply our ambulatory cognitive assessment methods in community-based samples (i.e., systematically recruited in the Bronx, New York). For each measurement burst, participants undergo assessment consisting of brief surveys and cognitive tests via smartphone, up to 7 times per day across 14 days. Oravecz et al. will discuss the application of a Bayesian multilevel implementation of the double exponential model to account for retest effects while quantifying change in peak cognitive performance across time. Kang et al., will demonstrate a growth curve modeling approach for assessing the effects of between-person variables (i.e., loneliness) on change in cognition across measurement bursts. Harrington et al., will demonstrate a model-based cluster analysis approach, leveraging ambulatory assessments of subjective and objective cognitive function to unpack latent groups as a function of age and loneliness. Measurement, Statistics, and Research Design Interest Group Sponsored Symposium.

Measuring Nation States’ Deliberativeness: Systematic Challenges, Methodological Pitfalls, and Strategies for Upscaling the Measurement of Deliberation

A theoretically reflected and empirically valid measurement of nation states’ democratic quality must include an assessment of polities’ deliberativeness. This article examines the assessment of deliberativeness suggested by two sophisticated contemporary measurements of democratic quality, that is, the Democracy Barometer and the Varieties of Democracy-project. We feature two sets of challenges, each measurement of deliberativeness must meet: First, it must address the methodological challenges arising in the course of conceptualizing, operationalizing, and aggregating complex concepts (see Munck and Verkuilen, 2002). Second, attempts to measure nation states’ deliberativeness are confronted with specific conceptual and systematic challenges which we derive from recent deliberative democracy scholarship. We argue that both Democracy Barometer and Varieties of Democracy-project provide highly sophisticated assessments of democratic quality, but ultimately fail to capture nation states “deliberativeness” in a theoretically reflected and methodologically sound manner. We examine the methodological, pragmatic, and systematic reasons for these shortcomings. The crucial task for measurements of nation states’ deliberativeness consists in providing a conceptual approach and methodological framework for “upscaling” existing meso-level measurements (such as the DQI). The concluding section presents conceptual and methodological strategies that can enable researchers to meet these challenges and to provide a theoretically grounded and empirically valid measurement of nation states’ deliberativeness.