scholarly journals What CLASS are you in? A study of social class, school choice and identity

2011 ◽  
pp. 26-30
Author(s):  
Kevin Cahill

My PhD investigates schools and communities as places constructed by ideas of social class, school choice, identity and comparisons between people as worthy and unworthy, deserving and undeserving. This thesis contributes to the social justice genre of social science research where equal educational opportunities are seen as an essential ingredient in a just society. I explore the tension between what may be termed here, for the purposes of clarity, the middle-class and the working-class in the context of an Irish urban second level school with DEIS status. DEIS stands for Delivering Equality of Opportunity in Schools and it is the designation given to schools where a significant proportion of students are from working-class backgrounds. One adult participant in this study informed me that “social class didn’t exist in Ireland, that it was an English thing”. You may make your own mind up but not before you ask some important questions:

Author(s):  
Gary Goertz ◽  
James Mahoney

Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. The book identifies and discusses major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, the book also seeks to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. The book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.


HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 554c-554
Author(s):  
Sonja M. Skelly ◽  
Jennifer Campbell Bradley

Survey research has a long precedence of use in the social sciences. With a growing interest in the area of social science research in horticulture, survey methodology needs to be explored. In order to conduct proper and accurate survey research, a valid and reliable instrument must be used. In many cases, however, an existing measurement tool that is designed for specific research variables is unavailable thus, an understanding of how to design and evaluate a survey instrument is necessary. Currently, there are no guidelines in horticulture research for developing survey instruments for use with human subjects. This presents a problem when attempting to compare and reference similar research. This workshop will explore the methodology involved in preparing a survey instrument; topics covered will include defining objectives for the survey, constructing questions, pilot testing the survey, and obtaining reliability and validity information. In addition to these topics some examples will be provided which will illustrate how to complete these steps. At the conclusion of this session a discussion will be initiated for others to share information and experiences dealing with creating survey instruments.


Author(s):  
Valentina Kuskova ◽  
Stanley Wasserman

Network theoretical and analytic approaches have reached a new level of sophistication in this decade, accompanied by a rapid growth of interest in adopting these approaches in social science research generally. Of course, much social and behavioral science focuses on individuals, but there are often situations where the social environment—the social system—affects individual responses. In these circumstances, to treat individuals as isolated social atoms, a necessary assumption for the application of standard statistical analysis is simply incorrect. Network methods should be part of the theoretical and analytic arsenal available to sociologists. Our focus here will be on the exponential family of random graph distributions, p*, because of its inclusiveness. It includes conditional uniform distributions as special cases.


2021 ◽  
Vol 7 ◽  
pp. 237802312110244
Author(s):  
Katrin Auspurg ◽  
Josef Brüderl

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.


1971 ◽  
Vol 14 (2) ◽  
pp. 421-427 ◽  
Author(s):  
Millicent E. Poole ◽  
T. W. Field

The Bernstein thesis of elaborated and restricted coding orientation in oral communication was explored at an Australian tertiary institute. A working-class/middle-class dichotomy was established on the basis of parental occupation and education, and differences in overall coding orientation were found to be associated with social class. This study differed from others in the area in that the social class groups were contrasted in the totality of their coding orientation on the elaborated/restricted continuum, rather than on discrete indices of linguistic coding.


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