scholarly journals Parents, Television, and Children’s Emotional Expressions: A Cross-Cultural Multilevel Model

2018 ◽  
Vol 50 (1) ◽  
pp. 22-46 ◽  
Author(s):  
Sebastian Scherr ◽  
Marie-Louise Mares ◽  
Anne Bartsch ◽  
Maya Goetz

Parents and media both play an important role in the socialization of children’s emotions, yet it remains unclear whether these socializing influences vary by culture. We studied the joint influences of parents and television on children’s expression of four basic emotions (happiness, anger, sadness, and fear) using self-report survey data from 3570 six- to 15-year-olds from 13 Asian, European, Middle Eastern, and South American countries. Perceived parental approval positively predicted self-reported expression of all four emotions. In addition, children’s approval of TV characters’ expression of happiness and anger (but not sadness and fear) positively predicted self-reported expressions of these emotions. A multilevel model combining cultural indicators (individualism, indulgence, assertiveness, humane orientation) and sociopolitical variables (Human Development Index, Gender Inequality Index, Grade Point Average) at the country level with individual-level variables (age, gender, media use) suggested that parental socialization of sadness, and media socialization of anger, varied as a function of some cultural indicators (assertiveness and humane orientation). Overall, though, despite theorizing about cultural differences, parental approval and (to a lesser extent) children’s approval of media models tended to predict children’s emotion displays rather consistently across a wide array of countries.

Author(s):  
Sunny J. Dutra ◽  
Marianne Reddan ◽  
John R. Purcell ◽  
Hillary C. Devlin ◽  
Keith M. Welker

This chapter not only draws from previous authoritative measurement overviews in the general field of emotion, but also advances these resources in several key ways. First, it provides a specific focus on positive valence systems, which have not yet received specific methodological attention. Second, the field of positive emotion (PE) has expanded in recent years with new and innovative methods, making an updated review of methodological tools timely. Third, the chapter incorporates discussion of PE disturbance in clinical populations and the methods best suited to capture PE dysfunctions. This chapter also outlines some tools that can allow researchers to capture a broad array of PE quantified by self-report, behavioral coding, and biological correlates as seen through changes in the central and peripheral nervous system (i.e., brain and body). After reviewing PE measurement methods and correlates, this chapter includes several methods for studying PE beyond the individual level (i.e., interpersonal) and traditional laboratory settings (i.e., ambulatory or experience sampling). It provides key examples of their applications to study PE in clinical populations while acknowledging several of their basic advantages and disadvantages.


2021 ◽  
pp. 003329412110268
Author(s):  
Jaime Ballard ◽  
Adeya Richmond ◽  
Suzanne van den Hoogenhof ◽  
Lynne Borden ◽  
Daniel Francis Perkins

Background Multilevel data can be missing at the individual level or at a nested level, such as family, classroom, or program site. Increased knowledge of higher-level missing data is necessary to develop evaluation design and statistical methods to address it. Methods Participants included 9,514 individuals participating in 47 youth and family programs nationwide who completed multiple self-report measures before and after program participation. Data were marked as missing or not missing at the item, scale, and wave levels for both individuals and program sites. Results Site-level missing data represented a substantial portion of missing data, ranging from 0–46% of missing data at pre-test and 35–71% of missing data at post-test. Youth were the most likely to be missing data, although site-level data did not differ by the age of participants served. In this dataset youth had the most surveys to complete, so their missing data could be due to survey fatigue. Conclusions Much of the missing data for individuals can be explained by the site not administering those questions or scales. These results suggest a need for statistical methods that account for site-level missing data, and for research design methods to reduce the prevalence of site-level missing data or reduce its impact. Researchers can generate buy-in with sites during the community collaboration stage, assessing problematic items for revision or removal and need for ongoing site support, particularly at post-test. We recommend that researchers conducting multilevel data report the amount and mechanism of missing data at each level.


2021 ◽  
Vol 13 (8) ◽  
pp. 4567
Author(s):  
Stanley Y. B. Huang ◽  
Chih-Wen Ting ◽  
Yu-Ming Fei

This study proposed a multilevel model of environmentally specific social identity based on upper echelons theory and examined how environmentally specific transformational leadership influenced the environmentally specific social identity of the top management team (TMT), which consequently influenced a corporation’s choices of proactive environmental strategies. Besides, the environmentally specific transformational leadership atmosphere at the TMT level also influenced the environmentally specific social identity atmosphere at the TMT level, which consequently influenced a corporation’s choices of proactive environmental strategies at the same time. In particular, this study proposed a novel concept–environmentally specific social identity based on social identity theory, including environmentally specific self-categorization, environmentally specific affective commitment, environmentally specific self-esteem. This study employed a hierarchical linear model and collected longitudinal data of 210 chief executive officers with their 840 members of TMTs at technology manufacturing businesses of Greater China at three waves over six months to analyze the theoretical model. This study found that individual-level environmentally specific transformational leadership and TMT-level environmentally specific transformational leadership (atmosphere) influenced individual-level environmentally specific social identity and TMT-level environmentally specific social identity (atmosphere), which consequently influenced proactive environmental strategies. These findings provide theoretical insights for the field of sustainable development that can advance the literature on proactive environmental strategies.


2016 ◽  
Vol 49 (1) ◽  
pp. 31-58 ◽  
Author(s):  
Ignacio Pisano ◽  
Mark Lubell

This article seeks to explain cross-national differences on environmental behavior. After controlling for a series of sociodemographic and psychosocial factors, it was predicted that national levels of wealth, postmaterialism, education development, and environmental problems are positively related to environmental behavior. The national-level variance is to a substantial degree explained by individual-level variables, capturing compositional effects. The remaining variance is explained by the contextual-level variables. All of the country-level variables are predictors in the expected direction, with the exception of environmental degradation, which is negatively related to behavior, and education development, which has no impact on private environmental behavior. More importantly, cross-level interactions show that in more developed countries, there are stronger relationships between proecological attitudes and reported proenvironmental behavior. These findings contribute to the growing cross-cultural research on environmental behavior pointing out the necessity of simultaneously assessing the effects of both individual and contextual-level forces affecting behavior across nations.


1972 ◽  
Vol 30 (2) ◽  
pp. 407-410 ◽  
Author(s):  
George J. Allen ◽  
Wayne M. Lerner ◽  
James J. Hinrichsen

Multivariate regression analysis of academic aptitude, test anxiety, and self-report study data from 122 undergraduates indicated high school rank to be the best predictor of grade point average. The number of days Ss reported studying and one test anxiety scale also added significantly to the prediction. Analysis of the study-relevant variables across the semester indicated differential patterns of study existed for students with good, average, and poor grades. The relative independence of test anxiety and study behaviors suggested that the latter class of variables might profitably be used to increase prediction of academic performance.


2016 ◽  
Vol 24 (2) ◽  
pp. 106-122 ◽  
Author(s):  
Jase R. Ramsey ◽  
Amine Abi Aad ◽  
Chuandi Jiang ◽  
Livia Barakat ◽  
Virginia Drummond

Purpose The purpose of this paper is to establish under which conditions researchers should use the constructs cultural intelligence (CQ) and global mindset (GM). The authors further seek to understand the process through which these constructs emerge to a higher level and link unit-level knowledge, skills and abilities (KSAs) capital to pertinent firm-level outcomes. Design/methodology/approach This paper is a conceptual study with a multilevel model. Findings This paper differentiates two similar lines of research occurring concordantly on the CQ and GM constructs. Next, the authors develop a multilevel model to better understand the process through which CQ and GM emerge at higher levels and their underlying mechanisms. Finally, this paper adds meaning to the firm-level KSAs by linking firm-level KSAs capital to pertinent firm-level outcomes. Research limitations/implications The conclusion implies that researchers should use CQ when the context is focused on interpersonal outcomes and GM when focused on strategic outcomes. The multilevel model is a useful tool for scholars to select which rubric to use in future studies that have international managers as the subjects. The authors argue that if the scholar is interested in an individual’s ability to craft policy and implement strategy, then GM may be more parsimonious than CQ. On the other hand, if the focus is on leadership, human resources or any other relationship dependent outcome, then CQ will provide a more robust measure. Practical implications For practitioners, this study provides a useful tool for managers to improve individual-level commitment by selecting and training individuals high in CQ. On the other hand, if the desired outcome is firm-level sales or performance, the focus should be on targeting individuals high in GM. Originality/value This is the first theoretical paper to examine how CQ and GM emerge to the firm level and describe when to use each measure.


2017 ◽  
Vol 39 (3) ◽  
pp. 541-567 ◽  
Author(s):  
MIKKEL BARSLUND ◽  
MARTEN VON WERDER ◽  
ASGHAR ZAIDI

ABSTRACTIn the context of emerging challenges and opportunities associated with population ageing, the study of inequality in active-ageing outcomes is critical to the design of appropriate and effective social policies. While there is much discussion about active ageing at the aggregate country level, little is known about inequality in active-ageing experiences within countries. Based on the existing literature on active ageing, this paper proposes an individual-level composite active ageing index based on Survey of Health, Ageing and Retirement in Europe (SHARE) data. The individual-level nature of the index allows us to analyse inequality in experiences of active ageing within selected European countries. One important motivation behind measuring active ageing at the individual level is that it allows for a better understanding of unequal experiences of ageing, which may otherwise be masked in aggregate-level measures of active ageing. Results show large differences in the distribution of individual-level active ageing across the 13 European countries covered and across age groups. Furthermore, there is a positive association between the country-level active ageing index and the equality of its distribution within a country. Hence, countries with the lowest average active ageing index tend to have the most unequal distribution in active-ageing experiences. For nine European countries, where temporal data are also available, we find that inequality in active-ageing outcomes decreased in the period 2004 to 2013.


2021 ◽  
pp. 0192513X2199416
Author(s):  
Sara Trujillo-Alemán ◽  
Åsa Tjulin ◽  
Glòria Pérez ◽  
Emma Hagqvist

This study aimed to explore the distribution of social capital and its relation to self-perceived health in lone mothers across Europe. Data were drawn from the European Social Survey Round 5. The sample was restricted to women (15–64 years), not cohabiting with a partner, and with children (≤ 18 years) living in the household. Social capital was measured using variables, representing both structural (political engagement, social support, and social activity) and cognitive (generalized trust, institutionalized trust, reciprocity, and a feeling of safety) components. Individual-level measurements: age, educational attainment, employment status, income level, and household economy. Country-level measurements: family policy model and collective social capital. A multilevel analysis was conducted. The results revealed cross-country variance in the level of lone mothers’ social capital. After adjustment for individual-level and country-level measurements, only reciprocity and a feeling of safety were related to good self-perceived health among lone mothers in Europe.


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