A New Approach to the Study of Tolerance: Conceptualizing and Measuring Acceptance,Respect, and Appreciation of Difference

Previous empirical research on tolerance suffers from a number of shortcomings, the most serious being the conceptual and operational conflation of (in)tolerance and prejudice. We design research to remedy this. First, we contribute to the literature by advancing research that distinguishes analytically between the two phenomena. We conceptualize tolerance as a value orientation towards difference. This definition—which is abstract and does not capture attitudes towards specific out-groups, ideas, or behaviors—allows for the analysis of tolerance within and between societies. Second, we improve the measurement of tolerance by developing survey items that are consistent with this conceptualization. We administer two surveys, one national (Sweden) and one cross-national (Australia, Denmark, Great Britain, Sweden, and the United States). Results from structural equation models show that tolerance is best understood as a three-dimensional concept, which includes acceptance of, respect for, and appreciation of difference. Analyses show that measures of tolerance have metric invariance across countries, and additional tests demonstrate convergent and discriminant validity. We also assess tolerance’s relationship to prejudice and find that only an appreciation of difference has the potential to reduce prejudice. We conclude that it is not only possible to measure tolerance in a way that is distinct from prejudice but also necessary if we are to understand the causes and consequences of tolerance.

     

Conceptualizing and Measuring Financial Resilience: A Multidimensional Framework

Financial inclusion has become a policy priority. For many countries, this has meant focusing on the delivery and practical aspects of financial products and services. This paper argues that this approach is not sufficient to improve financial wellbeing more broadly. It suggests a more comprehensive approach moving away from asking whether people are excluded or not to asking whether they have access to accessible, acceptable and appropriate resources and supports in adverse financial circumstances. A better understanding of individuals’ financial resilience: how they bounce back from adverse financial events and the resources and supports they draw on; could help determine where resources can and should be invested to assist people to cope with financial adversity, assist the development of effective policy and, ultimately, improve financial wellbeing. This paper puts forward a definition of financial resilience and a methodology for measuring it. Australia is used as a case country from which to draw conclusions using a survey of 1496 representative adults (18+). The findings indicate that over 2 million Australian adults experienced severe or high levels of financial vulnerability raising very real concerns about financial wellbeing. Implications for academics and policy makers are presented.

     

Conceptualizing and Measuring Quality of Life for National Policy

The interests in social indicators andsocial reporting started in the 1960s with thenew awareness of poverty in the midst ofaffluence. In this paper I first discuss thepoverty concept and its implication for socialpolicy strategy. The poverty concept should bebut one in a system of concepts that throwslight on the whole distribution of income andwealth and how income from labor as well asincome from capital is generated. The centralconcepts in the system are income and economicstandard, which I explain in differentperspectives on command over resources.The command-over-resources concept is usedto get from a narrow concept of materialwelfare that can be measured in money to awider concept of welfare that includes theuniversal common social concerns. I confess tobeing intrigued by the fact that a list ofsocial concerns can be agreed upon that seemsto be relevant across cultures, politicalsystems and times. I suggest that thissurmised universality springs from the great``life projects'' that all humans face over thelife cycle.I then discuss the role of social indicatorsand social reporting as continuous informationon these common concerns in the context of anepistemology of the democratic process. Socialreporting would serve the democratic processbest if it answers ``how it is'' and leaves theanswers on ``how it ought to be'' and ``whatshould be done'' to come about throughdiscussion among citizens.     

Social Tolerance and Economic Development

Trust is a social capital with burgeoning research interests from diverse disciplines in the social sciences, behavioral sciences and health fields. Despite these abundant literatures, trust research in sub-Saharan Africa is limited. The overwhelming area of interest on trustworthiness have also been focused on the trustee, with little consideration of the extent to which individuals perceive themselves to be trustworthy and the factors that may predict trustworthiness. The present study examined the contributions of personality and religiosity to propensity to trust and trustworthiness in a Nigerian student sample. Data was obtained using self-report measures of the Big Five Personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience), religiosity (operationalised as attendance to religious activities), trust, and trustworthiness. Results showed that agreeableness predicted increased trust, whereas conscientiousness and neuroticism predicted lower trust. Neither trust nor trustworthiness was significantly predicted by extraversion and openness to experience. Greater trustworthiness was predicted by high agreeableness, while high conscientiousness predicted reduced trustworthiness. Neuroticism did not predict trustworthiness. Religious involvement did not predict trust, but greater frequency of attendance to religious activities predicted lower trustworthiness. Findings suggest that agreeableness and conscientiousness may be important traits of interest in relation to trust and trustworthiness among youth in the sub-Saharan African context. Externalities of religion such as regular attendance to religious worship may not result to trust and may not foster trustworthiness. Researchers should give more attention to this area of research in order to clearly show their implications for social policy in developing countries.

     

Income Distribution and Social Tolerance

Social tolerance, i.e. the tolerance for the intrinsic diversity of large social groups, can be viewed as a synergic effect of the features of both individuals and socio-economic environment. This paper proposes a twofold contribution to the literature. First, it advances a conceptual framework in which tolerance at individual levels is explained by social polarization—in the form of income distribution—and the perceived quality of the social relationships and structures. Second, the regression analysis—involving micro-data from World Values Survey covering a time span between 2010 and 2014, for 48 countries—provides robust evidences for a non-linear impact of income distribution on social tolerance. This impact appears to be U-shaped and displays a pronounced degree of asymmetry. Also, labour market position, education, class self-identification, gender, age, marital status, levels of individuals’ personal security and sharing of post-materialist values matter in explaining social tolerance. The same main determinants contribute to the formation of both social tolerance and social capital. The differences are related to the amplitude as well as to the degree of symmetry for the corresponding non-linear transmission channels.     

Measuring Diversity in Daily Social Contact: The Contribution of Social Context,Work and Leisure on the Opportunity for Engagement

Role diversity is an important feature of individuals’ social networks that is reflected in the amount of time spent in the company of different role relationships. Time-use data is used to derive an index of dispersion measuring the diversity of one’s social contact among different role relationships. Patterns of social engagement are specialized when large investments of time are allocated to a small number of role relationships, while patterns are diverse when relatively equal amounts of time are spent among all possible role relationships. Tobit estimation of models indicates significant social context, time-use, and attitudinal effects on the diversity of role relationships. Findings indicate that role diversity is a complex phenomenon shaped by one’s existing social context, individual preferences, and present constraints on the use of time.     

Conceptualising and Measuring Social Cohesion in Africa: Towards a Perceptions-Based Index

Social cohesion is a key concept in development studies. Weak social cohesion is often related to slow economic growth and (violent) conflict. So far few attempts have been made to measure this complex concept in a systematic manner. This paper introduces an innovative method to measure national-level social cohesion based on survey data from 19 African countries. We distinguish three dimensions of social cohesion; i.e. the extent of perceived inequalities, the level of societal trust, and the strength of people’s adherence to their national identity. Importantly, our Social Cohesion Index (SCI) is based on individuals’ perceptions vis-à-vis these three different dimensions of social cohesion rather than certain macro-level ‘objective’ indicators such as GDP/capita or Gini-coefficients. We develop two social cohesion indices: a national average SCI and a Social Cohesion Index Variance-Adjusted (SCIVA); the latter one takes into account the level of variation across different ethnic groups within countries. The SCI and SCIVA are computed for and compared across nineteen African countries for the period 2005–2012 on the basis of Afrobarometer survey rounds 3, 4 and 5. We also investigate quantitatively the relationship between countries’ levels of social cohesion and the occurrence of a range of conflict events. As expected, we find that countries with low levels of social cohesion in a particular year according to our SCI are more likely to experience a range of different violent conflict events in the subsequent year.     

Measuring Social Capital: Accounting for Nested Data and Subnetworks Within Schools

Social capital is a central concept in social science research, and it is measured in diverse ways. Few measurement approaches take the network structure of complex institutional settings into account. In this study, using data from a large-scale school-based randomized field trial, we develop several factor analytic models to test the validity and reliability of a new survey battery capturing multiple dimensions of social capital in such settings. We demonstrate that it is important to account for institutional and network structure in social capital measures, and we show how social capital can be operationalized as the shared variance between different relational characteristics in complex settings with multiple subnetworks.     

Measuring Social Capital and Its Differentials by Family Structures

Social capital has often been invoked to explain differences in children’s well-being by family structure. That is, developmental outcome for children in lone or step parent family is not at par with that of children from intact family because parental investments on children may be lower not only in financial and human capital but also in social capital. This proposition has been difficult to examine in greater depth because of lack of conceptual clarity and of data to measure social capital. Using a definition of social capital as the “ability to secure benefits through membership in networks and other social structures”, we focus on the impact of family structures on social capital engendered by three types of networks: (a) informal ties with kin, families, friends, neighbours, and workmates; (b) generalized relationships with local people, people in civic groups, and people in general; and, (c) relationships through institutions. In particular, we examine differences in the measures of social capital among women living with no children in various marital arrangements, and women living with children in intact, step, and lone parent families. Data from the Canadian 2003 General Social Survey on Social Engagement confirm that social capital is indeed greater in intact families than in lone parent families. Mothers in intact families (especially married mothers) have larger informal networks, are members of more primordial and purposive organizations, have greater trust in people in the family, in the neighbourhood, and in people in general, and have greater confidence in government or business institutions. In general, social capital of mothers in step families is in between that of married mothers in intact families and lone mothers. Thus, the assumption in the literature that family structure can serve as a proxy for social capital may be justified. However, this study contributes a unique way of measuring social capital in terms of networks if and when data are available and a way of investigating the relationship between family structure and social capital; that is, the former as a determinant of the latter.     

The Development and Validation of Stakeholder-Based Scale for Measuring University Social Responsibility (USR)

Universities are an important member of the society that are trusted with shaping future, nurturing individuals, fostering ethics, and making people more responsible towards both the corporations they work for and the society they live in. Researches that explicitly focus on measurement of social responsibility of universities are scarce. The research intends to develop and validate a measurement scale for university social responsibility (USR) by capturing the key determinants that best define the social responsibility of a university. Using systematic scale development process, the study involved both literature and focus group discussions to generate the require items. 383 respondents filled the questionnaires out of which 329 were usable. The study found that USR has seven dimensions namely: operational responsibilities, research/development responsibilities, stakeholder responsibilities, and legal responsibilities. These four responsibilities were categorized as survival level responsibilities. Intermediate responsibility included ethical responsibility while voluntary responsibilities included philanthropic and community engagement. The scale developed in the study will help to specifically look for the presence of social responsibility in universities/higher education institutions. Hence it can be important to study how well universities respond to needs of the society. There is a significant lack of research into development of a reliable and valid scale of USR. This study clearly highlights the factors that make up USR and provides a detailed scale to measure of social responsibility performance by higher education institutions.     

Measuring Social Isolation in Older Adults: Development and Initial Validation of the Friendship Scale

Although there are many excellent published scales measuring social isolation, there is need for a short, user-friendly, stand alone scale measuring felt social isolation with good psychometric properties. This study reports the development and preliminary validation of a short, user-friendly scale, the Friendship Scale. The six items measure six of the seven important dimensions that contribute to social isolation and its opposite, social connection. The psychometric properties suggest that it has excellent internal structures as assessed by structural equation modelling (CFI = 0.99, RMSEA = 0.02), that it possesses reliability (Cronbach α = 0.83) and discrimination when assessed against two other short social relationship scales. Tests of concurrent discriminant validity suggest it is sensitive to the known correlates of social isolation. Although further work is needed to validate it in other populations, the results of this study suggest researchers may find the Friendship Scale particularly useful in epidemiology, population surveys or in health-related quality of life evaluation studies where a parsimonious measure of felt social support or social isolation is needed.     

Conceptualizing and Validating Marital Quality in Beijing: A Pilot Study

Since the inception of the economic reform, marital relationship in urban China has undergone dramatic transformations. Though the burgeoning body of scholarly research has demonstrated that marital quality has increasingly become an important aspect of family life among married persons in urban China, both the conceptualization and measurement of marital quality remain underdeveloped. The purpose of this pilot study is to develop and validate a comprehensive and culturally appropriate marital quality scale, namely the Chinese Marital Quality Scale (CMQS). Results from the confirmatory factor analysis (CFA) conducted on a sample of 387 married persons from Beijing indicate that the CMQS can be conceptualized as a two-factorial and multidimensional construct, encompassing marital happiness, marital interaction, marital disagreement, marital problem, and marital instability. Additional statistical analyses also indicate that the CMQS has exhibited satisfactory reliability and concurrent validity. It is thus concluded that the CMQS is a reliable and valid instrument to measure marital quality in contemporary Beijing and possibly in other Chinese cities.     

Advance Care Planning by Unmarried Women of Different Sexual Orientations: The Importance of Social Support

We examined social support as a facilitator of advance care planning in unmarried women of different sexual orientations. Survey participants consisted of 215 women, 90 who reported a preference for partnering with women (WPW) and 125 for partnering with men (WPM). Our findings indicate that the association between social support and advance care planning was mixed. Specifically, social support had no significant impact on executing a will for either WPW or WPM. Among WPW, naming a health-care proxy was associated with reporting a partner who provided social support. For WPM, having a partner for social support was not associated with naming a health-care proxy. These insights help in the understanding of women's advance care planning.     

Different Things Make Different People Happy: Examining Social Capital and Subjective Well-Being by Gender and Parental Status

This paper addresses a number of key challenges in current subjective well-being (SWB) research: A new wave of studies should take into account that different things may make different people happy, thus going beyond a unitary ‘happiness formula’. Furthermore, empirical results need to be connected to broader theoretical narratives. Using a re-examination of the social context of well-being as its case study, this article therefore resorts to sociological theory and fills a gap by investigating how social capital is correlated in different ways with the SWB of men, women, parents, and non-parents. Ordered logit and OLS regression analyses systematically examine slope heterogeneity using UK data from the European Social Survey. It turns out that civic engagement is not at all associated with higher life satisfaction for mothers, while the relationship is positive for men and strongest for childless women. Moreover, informal socialising is positively and more strongly associated with life satisfaction among women, although only when OLS is used. In sum, the social context of well-being varies considerably by gender and parental status. Mothers do not seem to benefit from formal social capital, indicating a “motherhood penalty” (see Correll et al., Am J Sociol 112(5):1297–1338 in 2007) regarding the psychological rewards usually associated with volunteering. Given the high levels of formal social capital among mothers, the findings also highlight the importance of the homo sociologicus concept. Consequently, SWB research can be successfully used to provide new insights into long-standing interdisciplinary theory debates such as the one on homo economicus versus homo sociologicus.     

The Experience of Social Mobility: Social Isolation,Utilitarian Individualism,and Social Disorientation

The dissociative thesis states that social mobility is a disruptive and detrimental experience for the individual. Despite the absence of convincing evidence either for or against it, this thesis is generally accepted in sociology. I investigate this thesis by considering three dimensions of dissociation—i.e., social isolation, utilitarian individualism, and social disorientation. I use data from a large-scale survey in Flanders (Belgium) and apply Diagonal Reference Models to study consequences of intergenerational social mobility. I find support for asymmetric acculturation for each dimension, i.e., upwardly mobile individuals adapt more to the new social status position, compared to downwardly mobile individuals. Moreover, both for social disorientation and utilitarian individualism, I find detrimental effects of the experience of downward social mobility. As I find no detrimental consequences of both upward and downward mobility, the results do not provide evidence for the dissociative thesis.     

Approximations to the Truth: Comparing Survey and Microsimulation Approaches to Measuring Income for Social Indicators

In this paper, we evaluate income distributions in four European countries (Austria, Italy, Spain and Hungary) using two complementary approaches: a standard approach based on reported incomes in survey data, and a microsimulation approach, where taxes and benefits are simulated. These two approaches may be expected to generate slightly different results, particularly in respect of individuals on lower incomes, because benefit receipts tend to be under-reported in survey data, and over-estimated in microsimulation procedures. However, we find that the two approaches do in fact produce reasonably consistent results, in terms of both inequality measures and poverty rates. To the extent that the results differ, we explore the reasons why these differences arise, and suggest directions for future research, in which each approach may inform improvements in the other.     

Measuring Substance Abuse Treatment Need Among Adults in Florida: A Social Indicators Approach

Determining the size and demographiccharacteristics of substance abuse populationsis extremely important for implementing publicpolicies aimed at the control of substanceabuse. Such information not only assists in theallocation of limited treatment resources bythe state, but also in the monitoring ofsubstance abuse trends over time and in theevaluation of innovative policy initiatives. Inthis study, we develop three composite measuresof treatment need. We then use these measuresto estimate treatment need for alcohol abuseand for controlled substance abuse within eachof Florida's 67 counties. This study providesan important empirical component of communityplanning, quantifying and, to a limited degree,specifying the level of need for the substanceabuse treatment of community residents. Anadditional benefit is the development of a costeffective and unobtrusive methodology fordetermining empirically when levels of need arechanging so that treatment levels can beadjusted accordingly. With proper use,policymakers can readily employ the methodologydeveloped in this study in Florida andelsewhere to make better-informed decisions inthe allocation of finite substance abusetreatment resources.     

Measuring Social Cohesion: An Experiment using the Canadian National Survey of Giving,Volunteering, and Participating

Social cohesion is a concept difficult to define and to measure. As there can be many definitions, so there can be many measurements. The main problem, either in defining or measuring the concept, is its multilevel and multidimensional nature. At one extreme, country is the most commonly used level to view social cohesion but measurement at this level is of little use for any interventions. At the other extreme, community is the most useful level but it is a social construct for which data are difficult to get, given the administrative boundaries used in social surveys. As an initial attempt to measure social cohesion at a subcountry level, this study focuses on census metropolitan areas for which data on several dimensions of social cohesion are available. We use the information gathered by the National Survey on Giving, Volunteering and Participating (NSGVP) on three dimensions of social cohesion: political (voting and volunteering), economic (occupation, income, labour force participation) and social (social interactions, informal volunteering). Using statistical techniques including factor analysis and standardization, we create an overall index of social cohesion for each CMA. We point out use of this measure for further analysis of social dynamics.