1,721,314 research outputs found
Replication Data for: Investigator Characteristics and Respondent Behavior in Online Surveys
No full textPrior research has demonstrated how the results of surveys can vary depending on the race, gender, or ethnicity of the investigator asking the question. This paper extends the logic of that research to empirically test how information about researcher identity in online surveys, conveyed in the advertisement for the experiment and on the informed consent page, affects subject responses. We do so by conducting an experiment on Amazon’s Mechanical Turk in which we vary the name of the researcher to cue different racial and gender identities. We fail to reject the null hypothesis that there is no difference in how respondents answer questions when assigned to a putatively black/white or male/female researcher
Replication Data for: Investigator Characteristics and Respondent Behavior in Online Surveys
No full textPrior research has demonstrated how the results of surveys can vary depending on the race, gender, or ethnicity of the investigator asking the question. This paper extends the logic of that research to empirically test how information about researcher identity in online surveys, conveyed in the advertisement for the experiment and on the informed consent page, affects subject responses. We do so by conducting an experiment on Amazon’s Mechanical Turk in which we vary the name of the researcher to cue different racial and gender identities. We fail to reject the null hypothesis that there is no difference in how respondents answer questions when assigned to a putatively black/white or male/female researcher
Contact and the expression of negation
Get PDFThis chapter presents an overview of developments in the expression of negation in Arabic and a number of its contact languages, focusing on clausal negation, with some remarks also on indefinites in the scope of negation. For most of the developments discussed in this chapter, it is not possible to say for certain that they are contact-induced. But evidence is presented which, cumulatively, points to widespread contact-induced change in this domain being the most plausible interpretation of the data
Maltese
Get PDFThis chapter presents an overview of the most prominent contact-induced developments in the history of Maltese, a language which is genetically a variety of Arabic, but which has undergone significant changes, largely as a result of lengthy contact with Sicilian, Italian, and English. We first address the precise affiliation of Maltese and the nature of the historical and ongoing contact situations, before detailing relevant developments in the realms of phonology, inflectional and derivational morphology, syntax and lexicon
Replication Data for: The Balance-Sample Size Frontier in Matching Methods for Causal Inference
No full textWe propose a simplified approach to matching for causal inference that simultaneously optimizes both balance (similarity between the treated and control groups) and matched sample size. Existing approaches either fix the matched sample size and maximize balance or fix balance and maximize sample size, leaving analysts to settle for suboptimal solutions or attempt manual optimization by iteratively tweaking their matching method and rechecking balance. To jointly maximize balance and sample size, we introduce the matching frontier, the set of matching solutions with maximum balance for each possible sample size. Rather than iterating, researchers can choose matching solutions from the frontier for analysis in one step. We derive fast algorithms that calculate the matching frontier for several commonly used balance metrics. We demonstrate with analyses of the effect of sex on judging and job training programs that show how the methods we introduce can extract new knowledge from existing data sets
Replication Data for: The Balance-Sample Size Frontier in Matching Methods for Causal Inference
No full textWe propose a simplified approach to matching for causal inference that simultaneously optimizes both balance (similarity between the treated and control groups) and matched sample size. Existing approaches either fix the matched sample size and maximize balance or fix balance and maximize sample size, leaving analysts to settle for suboptimal solutions or attempt manual optimization by iteratively tweaking their matching method and rechecking balance. To jointly maximize balance and sample size, we introduce the matching frontier, the set of matching solutions with maximum balance for each possible sample size. Rather than iterating, researchers can choose matching solutions from the frontier for analysis in one step. We derive fast algorithms that calculate the matching frontier for several commonly used balance metrics. We demonstrate with analyses of the effect of sex on judging and job training programs that show how the methods we introduce can extract new knowledge from existing data sets
Imagining Women's Careers
No full textThis book is about women’s careers, how they think about and enact their working lives, and how these patterns change, or stay the same, over time. It focuses on seventeen women, based in the same northern English city but working in a variety of occupations, who left their organizational positions to set up their own businesses. In 1993/4 they participated in a research study of this career transition, and a decade and a half later were interviewed for a second time. Imagining Women’s Careers is based on these accounts. It investigates the women’s transition to self-employment and on-going career development; contextual change between the two periods and why, in career terms, this mattered; their experiences of late career and retirement; and the role of others in their career-making. In conclusion, the concept of the career imagination is introduced, defining and delimiting what is possible, legitimate, and appropriate in career terms, and prescribing its own criteria for success. In part, the book is about change: women moving from young to middle, or middle to old age; society moving out of and back into recession; an academic literature which has deconstructed and redefined the concept of career itself. However, it is also about continuity: enduring relationships, commitments to people and places, deeply held values and identities. It is over twenty years since scholars began to question the adequacy of the extant career theory for illuminating women’s lives and since then the literature has developed apace. This book contributes to these on-going debates
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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