Continuity or team-teaching approach for midwifery education? An exploratory qualitative study of student and academic preferences

BackgroundThe content of midwifery courses is very similar across universities. The teaching approach is not, with universities adopting a variety of pedagogical methods.AimTo explore views of midwifery students, midwifery academics and senior academic managers comparing a continuity approach where one main academic provides the majority of midwifery content plus pastoral care compared with a team-teaching approach of midwifery education where lecturers change throughout the course.MethodsSemi-structured interviews and focus groups were used to discover thoughts, benefits and disadvantages of two teaching approaches. Data were analysed using thematic analysis.FindingsMidwifery students and academics valued relationship building, consistency of advice and assessment expectations of the continuity approach but also appreciated a variety of teaching styles and content found in the team-teaching approach. Senior academic managers favoured a team-teaching approach due to workload concerns.DiscussionContinuity and team-teaching pedagogical approaches offer different advantages. Continuity in midwifery education may provide students with a meaningful trusting relationship with their teacher and consistency of information, which could aid learning. A team-teaching approach provides students with diversity of teaching styles and midwifery ‘stories’. A combination of both pedagogies offering both a mix of teachers and a named ‘go-to’ mentor might help meet student requirements for both continuity and variety.ConclusionRelationship building, consistency and trust, were all evident in the continuity approach whereas the team-teaching approach was considered to be a more sustainable workload model.     

The Counting-Based Measurement of Multidimensional Poverty: The Focus on Economic Resources, Inner Capabilities, and Relational Resources in the United States

This paper assesses the Alkire and Foster (AF) approach to measure multidimensional poverty and proposes a ‘dimensional’ approach with economic resources, inner capabilities, and relational resources to account for its conceptual deficits. By measuring poverty in the United States using data from General Social Survey, it shows that, compared to the AF approach, the two-step process of the dimensional approach can provide greater insights into the form and structure of poverty, helping to analyze issues more comprehensively and inform policy decisions better. The relevance of the specific poverty dimensions and indicators and their operationalization are discussed and carried further.     

“Così è (se vi pare)”: Remarks on Subjective Well-Being from a Resource-Based Perspective

The present international interest on subjective well-being in research and policy-making is put under a critical eye from the perspective of the Scandinavian resource-based approach on well-being. In its stereotypical formulation, the Scandinavian approach is first and foremost interested in access to sufficient resources for all, and also in fair distribution of resources in the population. The approach leaves little space for subjective well-being, or leaves it as a private issue that is not a policy concern. From the Scandinavian perspective, it seems that many research ideas and policy proposals inspired by subjective well-being can be returned to resource-based approach. The paper discusses critically some recent proposals of strengthening the role of subjective well-being in research and policy. It also points out that the Scandinavian approach is not a monolith, but a number of side currents have always existed there, including ideas related to subjective well-being. Finally, the paper describes a rising interest in subjective well-being in the Nordic countries, too, although resource-based approach still dominates in welfare policies.     

Social-indicator model building: A multiple-indicator design

The purpose of the paper is to illustrate and apply a technique for building social-indicator models when concepts are measured by multiple indicators. The multiple-indicator approach discussed in the paper is based on the work of John L. Sullivan in which multiple-partial correlation is used in block-recursive model building. Sullivan's approach is based on the earlier work of Hubert M. Blalock with partial correlation. The multiple-indicator approach is initially considered by explaining the function of multiple-partial correlation and illustrating the utility of the statistic in sociological analysis. The model building approach is first illustrated in the case of a four-variable model measured by single indicators. An elaboration of the design is presented in the case of a six-variable model in which the variables are measured by multiple indicators (two indicators per variable). The multiple-indicator approach is then applied to assess the goodness-of-fit between data and a macrosociological health model. Procedures for assessing fit are presented and discussed. Finally, several advantages and disadvantages of the multiple-indicator approach to model building are considered.     

Small-area population forecasting in an urban setting: a spatial regression approach

This study revisits a spatial regression approach for small-area population forecasting that considers not only direct drivers of local area population growth but also neighbour growth and neighbour characteristics. Previous research suggested that the approach does not outperform extrapolation projections, the currently most-often-used small-area population forecasting technique. We argue the reason is that population growth is affected by its influential factors differently in urban, suburban, and rural areas. Therefore, we hypothesize that the spatial regression forecasting approach can perform better in one type of area at a time, where the influential factors’ effects on population growth can be estimated more accurately. This study is focused on census tracts of the city of Milwaukee, USA, to test the performance of the spatial regression approach in an urban setting. The analyses reveal mixed results and do not suggest that the spatial regression approach unambiguously outperforms extrapolation projections.     

Using age and spatial flow structures in the indirect estimation of migration streams

This article outlines a formal model-based approach for inferring interregional age-specific migration streams in settings where such data are incomplete, inadequate, or unavailable. The estimation approach relies heavily on log-linear models, using them to impose some of the regularities exhibited by past age and spatial structures or to combine and borrow information drawn from other sources. The approach is illustrated using data from the 1990 and 2000 U.S. and Mexico censuses.     

Underlying versus multiple causes of death: Effects on interpreting cancer mortality differentials by age,sex, and race

The conventional approach to measuring the medical cause of death in mortality analysis bases death on a single, underlying cause. An alternative approach, which makes use of all of the medical conditions cited by a physician on the death certificate and treats them in a multiplecause framework, is compared with the conventional approach in studying differential mortality among those 45 years of age and older in Florida. The two approaches are seen to provide different patterns of information that have analytical as well as policy ramifications.     

The Normativity of the Concept of Heteronormativity

The aim of the article is to analyze and to critically examine use of the concept of heteronormativity. We find it important to adjust the concept to some extent in order to analyze, for example, changes occurring in homosexual families, contemporary gender-equal families, or the progressive youth culture. We find two approaches when using the concept. One minimizes the importance of how sexual practices are embedded in social institutions. The first approach becomes too idealistic, whereas the second approach often is based on a structural view of society. This approach makes it hard to imagine a transformation of the family that could lead to more equal and democratic relations in contemporary families. We suggest a third approach, and the possibility of finding creative ways of analyzing actual change and contestations of heteronormativity. An approach containing a space of reflexivity and aiming at political change both involving subjects as well as structures.     

Measuring Disparities in Access to Health Care: A Proposal Based on an Ex-ante Perspective

Social Indicators Research - We provide a novel approach to evaluate access to health care based on the monetization of access barriers individuals face. This approach allows to distinguish the...     

Die analytische Soziologie: Soziale Mechanismen, DBO-Theorie und Agentenbasierte Modelle

Within the analytical sociology, Peter Hedström — professor at School of Social Sciences of the Singapore Management University — developed an approach to come to valid explanations of social phenomena. In this article, his approach will be described and critically assessed. The approach is based on the micro-macro view in sociology. With the assistance of the so called DBO-theory, certain social mechanisms are formulated on the micro- and macro levels to come to a sufficient (middle-range) theory for the explanation of social phenomena. To investigate the validity of the theory, agent-based models are calculated.     

The value of life and the value of population

This paper first distinguishes structured and unstructured approaches to valuing life. The unstructured approach bases its valuations on people‘s raw preferences, whereas the structured approach imposes a theoretical framework about the structure of value. The paper recommends the structured approach. This opens the way to considering the value of adding people to the population. The paper examines a common intuition that adding people is not in itself valuable, and explains the difficulties this intuition encounters. Received January 10, 1995 / Accepted July 10, 1995     

Integrating Space With Place in Health Research: A Multilevel Spatial Investigation Using Child Mortality in 1880 Newark,New Jersey

Research on neighborhoods and health increasingly acknowledges the need to conceptualize, measure, and model spatial features of social and physical environments. When ignoring underlying spatial dynamics, we run the risk of biased statistical inference and misleading results. In this article, we propose an integrated multilevel spatial approach for Poisson models of discrete responses. In an empirical example of child mortality in 1880 Newark, New Jersey, we compare this multilevel spatial approach with the more typical aspatial multilevel approach. Results indicate that spatially defined egocentric neighborhoods, or distance-based measures, outperform administrative areal units, such as census units. In addition, although results do not vary by specific definitions of egocentric neighborhoods, they are sensitive to geographic scale and modeling strategy. Overall, our findings confirm that adopting a spatial multilevel approach enhances our ability to disentangle the effect of space from that of place, pointing to the need for more careful spatial thinking in population research on neighborhoods and health.     

How frailty models can be used for evaluating longevity limits: Taking advantage of an interdisciplinary approach

In this paper we discuss an approach to the analysis of mortality and longevity limits when survival data on related individuals with and without observed covariates are available. The approach combines the ideas of demography and survival analysis with methods of quantitative genetics and genetic epidemiology. It allows us to analyze the genetic structure of frailty in the Cox-type hazard model with random effects. We demonstrate the implementation of this strategy to survival data on Danish twins. We then evaluate the resulting lower bounds for biological limits of human longevity. Finally, we discuss the limitations of this approach and directions of further research.     

Toward a gender politics of aging

The article proposes a Gender Politics of Aging approach to the study of aging societies. The approach recognizes the feminization of old age, ageism’s roots in sexist discourse, and the need to recognize the role of politics in driving demographic debates. Drawing together arguments from feminist gerontology and political demography, the article argues that the intersection of politics and gender must be considered if appropriate responses to an older, feminized demography are to be produced. I conclude that the work of aging feminists provides a rich vein of research and praxis from which a gender politics of aging approach can draw.     

Imperfection Measures and the Production of Poverty: A Case Study of the Use of the Asset Index in Bangladesh

Social Indicators Research - This paper takes as its starting point the analytical distinction between a ‘difference-making’ approach and a ‘production approach’ to poverty,...     

Self-other orientations and quality of life

A theory, related measures, and series of studies are presented here which proffer a new approach to the study of quality of life. The approach is phenomenological. The quality of life evaluation is assumed to be in the eye of the experiencer. To facilitate the experiencer's communication, a non-verbal technique of measuring the personal meaning of events and environments is employed. A series of studies are described which emerge from this framework dealing with alienation; gain or loss of social status; love, marriage, and parenthood; and transitional states. Finally new uses of the approach are proposed.     

Essentialism and Islamic Theology of Homosexuality: A Critical Reflection on an Essentialist Epistemology toward Same-Sex Desires and Acts in Islam

Although most traditional Muslim scholars condemn same-sex desires and acts, revisionist Muslim scholars have offered a more tolerant approach on this issue over the last two decades. Building on an essentialist approach to same-sex desires and acts, these scholars have argued that Islam accepts difference and diversity, including sexual diversity, as part of God’s creation. Homosexuality, which in their view is an innate disposition to the same sex, is an alternative sexuality and, thus, accepted by the Qur’an and Islam. This article argues that an essentialist approach is not suitable to defend all manifestations of same-sex desires and acts, not only because it is narrow (as it excludes both bisexual Muslims and homosexual Muslims who believe that their sexual orientation is socially constructed), but also because it cannot even argue the case for the view of homosexuality as inborn. This article proposes to open up the debate beyond essentialism and constructivism, which both have their limitations, to accommodate a more inclusive and tolerant Islamic approach to same-sex desires and acts.     

Reaching African-American Men on the “Down Low”: Sampling Hidden Populations: Implications for HIV Prevention

ABSTRACT

Studies on the impact of the HIV epidemic among African-American men who have sex with men (MSM) have largely neglected men who self-identify as heterosexual but engage in same-sex behavior. These men, commonly referred to as men on the “down low,” pose formidable challenges to researchers conducting prevention studies. This article addresses the methodological issues that create limitations in sampling this population. It presents a novel approach to locate and access these men, describes the success in using this approach, and suggests implications for future research employing this sampling approach.     

The Impact of Family Size on Wealth Accumulation in Rural Thailand

Abstract. We examine the effect of socio-economic covariates on infant mortality in China in the 1980s, particularly the role of previous birth interval and mother's education, using an event history approach with data from the 1988 Two per Thousand Fertility Survey. We use a Bayesian model averaging strategy that takes account of model uncertainty as well as parameter uncertainty. A standard stepwise logistic regression analysis finds no statistically significant relationship between the preceding birth interval and infant survival after controlling for socio-demographic factors, but this finding is reversed when the Bayesian model averaging approach is adopted. However, the method finds less support than a standard stepwise approach for the role of mother's education. We consider the model-fitting criterion of predictive power when applied to out-of-sample observations, and show that Bayesian model averaging outperforms the stepwise approach. We conclude that, even with large sample sizes, the interpretation of results can vary substantially according to model selection and fitting criteria.     

An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort Models

Many methods have been proposed to solve the age-period-cohort (APC) linear identification problem, but most are not theoretically informed and may lead to biased estimators of APC effects. One exception is the mechanism-based approach recently proposed and based on Pearl’s front-door criterion; this approach ensures consistent APC effect estimators in the presence of a complete set of intermediate variables between one of age, period, cohort, and the outcome of interest, as long as the assumed parametric models for all the relevant causal pathways are correct. Through a simulation study mimicking APC data on cardiovascular mortality, we demonstrate possible pitfalls that users of the mechanism-based approach may encounter under realistic conditions: namely, when (1) the set of available intermediate variables is incomplete, (2) intermediate variables are affected by two or more of the APC variables (while this feature is not acknowledged in the analysis), and (3) unaccounted confounding is present between intermediate variables and the outcome. Furthermore, we show how the mechanism-based approach can be extended beyond the originally proposed linear and probit regression models to incorporate all generalized linear models, as well as nonlinearities in the predictors, using Monte Carlo simulation. Based on the observed biases resulting from departures from underlying assumptions, we formulate guidelines for the application of the mechanism-based approach (extended or not).