A Mixed Method Approach to Quality of Life Research: A Case Study Approach

Increased use of qualitative and quantitative methods in quality of life projects necessitates an examination of how to effectively work within a mixed method framework. The research objectives of this paper are to (1) operationalize the two goals of mixed method research (confirmation and comprehension) and (2) develop a strategy for using mixed methods in quality of life research. Face-to-face interview (qualitative) and telephone survey (quantitative) data from the Community–University Institute for Social Research Quality of Life (CUISR QoL) project in Saskatoon, Saskatchewan were used for operationalization. Overall, confirmation and comprehension were challenging concepts to operationalize. Seven benefits and four guidelines were developed and are presented as dynamic, rather than definitive, structures.     

A Two-Step Approach to Analyze Satisfaction Data

In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multilevel models (MLM) for the analysis of satisfaction data is proposed. The basic hypothesis is that observed ordinal variables describe different aspects of a latent continuous variable, which depends on covariates connected with individual and contextual features. NLPCA is used to measure the level of a latent variable and MLM is adopted for detecting individual and environmental determinants of the level. This approach is suggested to analyze users’ satisfaction. In fact, NLPCA is used to create a synthetic continuous measure of satisfaction (first step) and MLM are used to detect the role of external (individual or environmental) variables that can affect the level itself (second step). The proposed two-step procedure is applied to the Eurobarometer survey data about opinion of European citizens on services of general interest (SGI) aiming to evaluate and compare the opinion about SGI in different countries. The focus is on overall level of satisfaction about four major public services: fixed telephone, electricity supply, postal and rail services. The item analyzed, which are named manifest variables, are: access easiness, price, quality, information clarity and contract fairness, as reported in the 2002 Eurobarometer survey. In the first step these variables are used to set up the synthetic indicator (the overall level) of satisfaction and, in the second step, a MLM is used to test the impact of some explanatory variables on this satisfaction.     

A Data Envelopment Analysis-Based Methodology Adopting Assurance Region Approach for Measuring Corporate Social Performance

Many research papers calculate corporate social performance (CSP) with the net score method, i.e., by subtracting the number of concerns from the number of strengths. Although widely adopted, this method implies, perhaps mistakenly, that each indicator is of equal importance and that however serious the social misconduct a firm may have engaged in, it can be completely offset by some positive social action. The method also implies that a given firm that has done both a lot of harm and a lot of good will have CSP similar to that of another firm that has done little harm and little good. In this study, however, we question the appropriateness of the net score method in terms of its ability to truly reflect CSP and truly identify the real effects of CSP on various characteristics. We therefore propose a data envelopment analysis-based methodology that adopts the assurance region approach for evaluating CSP, through which various CSP indicators are converted into a single composite measure of CSP. Our findings show that our proposed methodology consistently performs better than the net score method in evaluating CSP.

     

An Economic Wellbeing Index for the Spanish Provinces: A Data Envelopment Analysis Approach

 This article presents the estimation of a synthetic economic wellbeing index using Data Envelopment Analysis (DEA). The DEA is a multidimensional technique that has its origins in efficiency analysis, but its usage within the social indicators context is particularly appropriate. It allows the researcher to take advantage of the inherent flexibility of DEA when assigning weights to the factors. The model itself carries out the aggregation and weighting of 8 partial indicators, which attempt to describe the four components of economic wellbeing suggested by Osberg (Royal Commision on the Economic Union and Development Prospects for Canada (University of Toronto Press, 1985)), in order to assess the economic wellbeing of the 50 Spanish provinces. By using the index obtained in the analysis a “ranking” of the provinces is obtained. This ranking proves to be relatively similar to the one that corresponds to per capita income, although there are significant differences.     

Evaluating Population Forecast Accuracy: A Regression Approach Using County Data

Many studies have evaluated the impact of differences in population size and growth rate on population forecast accuracy. Virtually all these studies have been based on aggregate data; that is, they focused on average errors for places with particular size or growth rate characteristics. In this study, we take a different approach by investigating forecast accuracy using regression models based on data for individual places. Using decennial census data from 1900 to 2000 for 2,482 counties in the US, we construct a large number of county population forecasts and calculate forecast errors for 10- and 20-year horizons. Then, we develop and evaluate several alternative functional forms of regression models relating population size and growth rate to forecast accuracy; investigate the impact of adding several other explanatory variables; and estimate the relative contributions of each variable to the discriminatory power of the models. Our results confirm several findings reported in previous studies but uncover several new findings as well. We believe regression models based on data for individual places provide powerful but under-utilized tools for investigating the determinants of population forecast accuracy.     

The Efficiency of the Italian Judicial System: A Two Stage Data Envelopment Analysis Approach

Social Indicators Research - During the last two decades there was great attention for improved performance in the public sector. We know how important a good judicial system is: it...     

More Evidence for Trends in the Intergenerational Transmission of Divorce: A Completed Cohort Approach Using Data From the General Social Survey

Many studies have demonstrated that the children of divorce are disproportionately likely to end their own marriages. In previous work, I showed that the transmission of divorce between generations weakened substantially for General Social Survey (GSS) respondents interviewed between 1973 and 1996 (Wolfinger 1999); Li and Wu (2006, 2008) contended that my finding is a methodological artifact of the GSS’s lack of marriage duration data. This article presents a completed-cohort approach to studying divorce using the GSS. The results confirm a decline in the probability of divorce transmission that cannot be explained by the right-censoring bias alleged by Li and Wu. This finding contributes to an ongoing debate about trends in the negative consequences of parental divorce, as well as demonstrating a useful approach to right-censored phenomena when event history data are not available.     

A Flexible Approach for the Decomposition of Rate Differences

Conventional methods of decomposing the difference between two rates, such as Kitagawa's classic component analysis, are confined to taking the average of compositional differences. I propose a more general modeling approach involving three steps: (1) A system of equations with the various additive components of the rate difference is set up; (2) unknowns (refined rate differences) are estimated with Clogg's purging method; (3) the components are calculated. I use an example of U.S. mortality data to compare the proposed method with the conventional ones. The method can be generalized to decompositions for multiple groups and for multiple confounding factors. Kitagawa's method is a special case of this general approach.     

A New Generalized Variance Approach for Measuring Multidimensional Inequality and Poverty

The paper suggests a new generalized variance concept for measuring multidimensional inequality of a stratified society, based on multivariate statistical methods, where the members of society form a cloud in the oblique space of dimensions of inequality, such as income, expenditure and property. The cloud presents the multidimensional inequality capsulized in the cloud. The goal is to condense all the inequality information embodied by the cloud into a composite compact metric characterizing both the shape and the inner structure of the cloud. Contrary to the conventional literature that considers multidimensionality as a unidimensional weighted combination of the dimensions, our new composite index measures the inequality of the configuration of the points in the cloud. Our aim is twofold. First, we introduce the Inequality Covariance Matrix (ICM) assigned to the cloud, with elements measuring the correlations among dimensions. Having ICM, we propose the Generalized Variance (GV) of ICM to measure the composite Generalized Variance Inequality (GVI) level. Second, to evaluate the stratum-specific structure of the overall inequality, we suggest a new two-stage procedure. In the first stage, we divide the total GVI into between-groups and within-groups effects. Then, in the second stage the contributions of the strata to the within-groups inequality and, the contributions of the dimensions to the between-groups inequality are calculated. This GVI approach is sensitive to the correlation system, decomposable into stratum effects and, the number of dimensions is not limited. Moreover, including the log-dimensions in the analysis, GVI yields an Entropy Covariance Matrix giving a new Generalized Variance Entropy index. Finally, the GVI of censored poverty indicators means multidimensional poverty measurement. This special complex task is not yet solved in the traditional literature so far.

     

Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach

This paper develops an index to evaluate the level of effectiveness of the control of violence based on the data envelopment analysis approach. The index is used to examine the grade of effectiveness of the control of violence at the level of Colombian departments between 1993 and 2007. Comparing the results across Colombian departments, we find that the majority of departments show improvement in their scores of effectiveness. A second stage of the regression model reveals that departments with a higher gross domestic product and higher education and employment are more effective in the control of violence, whereas departments with higher political violence, unemployment rates, unsatisfied basic needs, a displaced population, and hectares cultivated with coca show lower effectiveness in the control of violence. All these findings are of particular interest in the formulation and development of policies against violence, taking into account that organised forms of violence, such as drug trafficking, impede the adequate effectiveness of its control. Moreover, violence decreases social investments, generating alterations in social services that produce long-run deterioration in faith in the government’s ability to govern, which should become an incentive to further violence.     

Mixed motivations for migration in the urban prairies: A comparative approach

Two Canadian Prairie cities, with populations of about 600 000 each, have experienced dramatically different growth patterns in the last twenty years because of quite different economic bases. Edmonton has been a fast growth city based on the gas and oil boom. Winnipeg has experienced very slow growth with a very diversified economy. Through the vehicles of the Edmonton and Winnipeg Area Studies, an analysis of migration to the two cities is possible. It is a study of mixed motivation. Not only are single motives rarely expressed by respondents, but the relative strength of economic and family motives in particular is somewhat unexpected in the two cities. Finally, while return migration accounts for 50 percent of migrants to the slow growth city, it is not as detached from economic motives as appears to be the case in other Canadian research on return migration.Revised version of a paper presented at the Canadian Population Society Meeting, Hamilton, Ontario, June, 1987     

A Proactive Approach to Aging Well for Women Over 45

ABSTRACT

This paper reports on an exploratory two-group, pre- and posttest design study, which employed data triangulation with a convenience sample (n = 120) of women over 45 years aged between 45 and 83 years, living and/or working within the South East Sydney and Illawarra areas of New South Wales. Sixty-nine women recorded the Health Check Log (HCL) (33 were health professionals) to assess and monitor their health over 12 months. The majority found the HCL greatly assisted in monitoring and maintaining their health, and the analyses of the SF-36 health survey suggest that women 45 years and over may benefit by regular use of the HCL.     

Measuring and Monitoring Poverty and Well-Being: A New Approach for the Synthesis of Multidimensionality

The aim of this paper is to introduce a new approach for the synthesis and analysis of multidimensional poverty and well-being indicators. Our general perspective is inspired by the theoretical foundations of the capability approach and sustainable human development paradigm. The new synthesis of indicators aims at monitoring outcomes of units of interest. Its defining features include: full sensitiveness, continuity, flexibility in substitution between dimensions, and the straightforward interpretation of the results. All these properties are obtained through a transparent and accountable process that is fully open to public scrutiny and reason (as suggested by Amartya Sen). The main contribution of this approach is that the degree of substitutability between dimensions can be directly linked to the general level of well-being of a person, which addresses the so-called “inescapable arbitrariness” issue discussed by Anand and Sen (Concepts of human development and poverty: a multidimensional perspective. Human Development Papers. UNDP, New York, 1997). The new synthesis proposed opens up new possibilities for different types of applications, including monitoring and evaluating development programmes.     

Measuring Social Capital in the Republic of Korea with Mixed Methods: Application of Factor Analysis and Fuzzy-Set Ideal Type Approach

Variation in the concept of social capital casts difficulties in measurements; moreover, measuring social capital requires different methods because concepts can differ by countries, regions and also according to the conceptual attributes included in the concept. Discussion on social capital has been gaining much attention in also East Asia, where Confucianism and family oriented values are suggested to be an important cultural background. This study aims to first critically review research on social capital not only in Korea, but also elsewhere, with a focus on measurements and indicators. By highlighting the importance of developing measurement that can reflect the cultural context of social capital, we compose survey questionnaires, which include multiple aspects of social capital and conduct an investigation on Korean social capital. Then, we exploit factor analysis with these questions. Next, with results from the factor analysis above, we employ the method of fuzzy set ideal type approach in order to measure social capital in Korea according to different demographic groups. The results suggest that people with low education and low income have difficulties participating in the society through interactions, even when their trust toward the society and their consciousness regarding the norm are similar to those of the other groups in Korea.     

The Cash Opportunity Costs of Childbearing: An Approach To Estimation Using British Data

The opportunity costs of rearing British children in terms of cash earnings foregone by their mother are estimated for a typical family. Data from the Women and Employment Survey (1980) provide estimates for hourly pay as a function of work experience and current hours of work. They also make possible the generation of participation and hours profiles for representative women with different numbers of children, which, together with the earnings function are used to simulate lifetime income. Earnings foregone as a result of bearing and rearing two children are roughly equally composed of three effects, on participation, hours and pay. They exceed direct costs, and do not rise proportionally with family size. They are sensitive to the spacing of births but not, undiscounted, to the timing of the first one. The method and results contrast markedly with those of a similarly motivated study of US women, by Calhoun and Espenshade. It is argued that the non-linearity of the earnings function and state dependence in British labour force transitions would violate the assumptions which permitted the US exercise to be based on a multi-state labour force life-table.     

Outcomes of Orphanhood in Ethiopia: A Mixed Methods Study

The paper addresses the question of whether parental death always has a strongly negative effect on children’s outcomes using quantitative and qualitative data from Young Lives, a longitudinal study of childhood poverty in Ethiopia. It investigates the validity of potential mediating factors identified by other studies in Sub-Saharan Africa using data from the whole sample (n = 973) and explores these processes in-depth through the experiences of three orphans in one community in Addis Ababa. The paper concludes that the outcomes of orphans and non-orphans in poor communities are not significantly different, supporting the need to address vulnerability at a societal level. Nonetheless, specific groups, for example, older female children who have lost their mothers, may face particular risks that should be addressed with targeted interventions.     

The Relevance of Objective and Subjective Social Position for Self-Rated Health: A Combined Approach for the Swedish Context

The study investigates the health effects of subjective class position stratified by objective social position. Four types of subjective class were analysed separately for individuals with manual or non-manual occupational background. The cross-sectional analysis is based on the Swedish Level-of-Living Survey from 2000 and includes 4,139 individuals. The dataset comprises information on perceived class affinity and occupational position that was combined to conduct logistic regression models on self-rated health. An inverse relationship between self-rated health and the eight combinations of objective and subjective social position was found. Lower socio-economic position was associated with poor health. The largest adverse health effects were found for lower subjective social position in combination with lower occupational position. When the covariates education, father’s occupational position and income were added to the model, adverse effects on health remained only for females. Subjective social position helps to explain health inequalities. Substantial gender differences were found. It can be assumed that subjective class position captures a wide range of perceived inequalities and therefore complements the measure of occupational position.     

Short-Term and Long-Term Educational Mobility of Families: A Two-Sex Approach

We use a multigenerational perspective to investigate how families reproduce and pass their educational advantages to succeeding generations. Unlike traditional mobility studies that have typically focused on one-sex influences from fathers to sons, we rely on a two-sex approach that accounts for interactions between males and females—the process in which males and females mate and have children with those of similar educational statuses and jointly determine the educational status attainment of their offspring. Using data from the Panel Study of Income Dynamics, we approach this issue from both a short-term and a long-term perspective. For the short term, grandparents’ educational attainments have a direct association with grandchildren’s education as well as an indirect association that is mediated by parents’ education and demographic behaviors. For the long term, initial educational advantages of families may benefit as many as three subsequent generations, but such advantages are later offset by the lower fertility of highly educated persons. Yet, all families eventually achieve the same educational distribution of descendants because of intermarriages between families of high- and low-education origin.