scholarly journals HIV Treatment as Prevention and the Role of Applied Social Science Research

2013 ◽  
Vol 02 (06) ◽  
Author(s):  
Will Small Thomas Kerr
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Hiv Treatment ◽  
Treatment As Prevention ◽  
Applied Social Science ◽  
Hiv Treatment As Prevention

How much would you like to pay? Trust, reciprocity and prosocial motivations in El trato

2012 ◽  
Vol 51 (3) ◽  
pp. 389-417 ◽  
Author(s):  
Francisco J León ◽  
José A Noguera ◽  
Jordi Tena-Sánchez
Keyword(s):  
Social Science ◽  
External Validity ◽  
Laboratory Experiments ◽  
Social Science Research ◽  
Science Research ◽  
Trust Game ◽  
Sales Strategy ◽  
Pay What You Want ◽  
Natural Settings

Prosocial motivations and reciprocity are becoming increasingly important in social-science research. While laboratory experiments have challenged the assumption of universal selfishness, the external validity of these results has not been sufficiently tested in natural settings. In this article we examine the role of prosocial motivations and reciprocity in a Pay What You Want (PWYW) sales strategy, in which consumers voluntarily decide how much to pay for a product or service. This article empirically analyses the only PWYW example in Spain to date: the El trato (‘The deal’) campaign launched by the travel company Atrápalo, which offered different holiday packages under PWYW conditions in July 2009. Our analysis shows that, although the majority of the customers did not behave in a purely self-interested manner, they nonetheless did so in a much higher proportion than observed in similar studies. We present different hypotheses about the mechanisms that may explain these findings. Specifically, we highlight the role of two plausible explanations: the framing of the campaign and the attribution of ‘hidden’ preferences to Atrápalo by its customers, which undermined the interpretation of El trato as a trust game.

scholarly journals The role of administrative data in the big data revolution in social science research

2016 ◽  
Vol 59 ◽  
pp. 1-12 ◽  
Author(s):  
Roxanne Connelly ◽  
Christopher J. Playford ◽  
Vernon Gayle ◽  
Chris Dibben
Keyword(s):  
Big Data ◽  
Social Science ◽  
Administrative Data ◽  
Social Science Research ◽  
Science Research

scholarly journals Is Banning Significance Testing the Best Way to Improve Applied Social Science Research? – Questions on

2016 ◽  
Vol 21 (3) ◽  
pp. 95-105
Author(s):  
Thees F Spreckelsen ◽  
Mariska Van Der Horst
Keyword(s):  
Social Science ◽  
Statistical Significance ◽  
Social Science Research ◽  
Science Research ◽  
Research Process ◽  
Significance Testing ◽  
Sociological Research ◽  
Research Practice ◽  
Research Questions ◽  
Applied Social Science

Significance testing is widely used in social science research. It has long been criticised on statistical grounds and problems in the research practice. This paper is an applied researchers’ response to Gorard's (2016) ‘Damaging real lives through obstinacy: re-emphasising why significance testing is wrong’ in Sociological Research Online 21(1). He participates in this debate concluding from the issues raised that the use and teaching of significance testing should cease immediately. In that, he goes beyond a mere ban of significance testing, but claims that researchers still doing this are being unethical. We argue that his attack on applied scientists is unlikely to improve social science research and we believe he does not sufficiently prove his claims. In particular we are concerned that with a narrow focus on statistical significance, Gorard misses alternative, if not more important, explanations for the often-lamented problems in social science research. Instead, we argue that it is important to take into account the full research process, not just the step of data analysis, to get a better idea of the best evidence regarding a hypothesis.

scholarly journals Erasing the Social from Social Science: The Intellectual Costs of Boundary-Work and the Canadian Institute of Health Research

2014 ◽  
Vol 39 (3) ◽  
pp. 393-420 ◽  
Author(s):  
Katelin E. Albert
Keyword(s):  
Social Science ◽  
Health Research ◽  
Research Funding ◽  
Boundary Work ◽  
Medical Science ◽  
Social Science Research ◽  
Science Research ◽  
Canadian Institute ◽  
The Social

In 2009, Canadian social science research funding underwent a transition. Social science health-research was shifted from the Social Science and Humanities Research Council (SSHRC) to the Canadian Institute of Health Research (CIHR), an agency previously dominated by natural and medical science. This paper examines the role of health-research funding structures in legitimizing and/or delimiting what counts as ‘good’ social science health research. Engaging Gieryn’s (1983) notion of ‘boundary-work’ and interviews with qualitative social science graduate students, it investigates how applicants developed proposals for CIHR. Findings show that despite claiming to be interdisciplinary, the practical mechanisms through which CIHR funding is distributed reinforce rigid boundaries of what counts as legitimate health research. These boundaries are reinforced by applicants who felt pressure to prioritize what they perceived was what funders wanted (accommodating natural-science research culture), resulting in erased, elided, and disguised social science theories and methods common for ‘good social science.’

5. Finding Answers: Theories and How to Apply Them

2020 ◽  
pp. 123-158
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Social Science ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Theoretical Framework ◽  
Different Types ◽  
Independent Variable ◽  
Key Terms ◽  
The Relationship

This chapter shows how to develop an answer to a particular research question. It first considers the requirements and components of an answer to a research question before discussing the role of ‘theory’ in social science research, what a ‘theoretical framework’ is, and what a hypothesis is. It then explores the three components of a hypothesis: an independent variable, a dependent variable, and a proposition (a statement about the relationship between the variables). It also looks at the different types of hypotheses and how they guide various kinds of research. It also explains why conceptual and operational definitions of key terms are important and how they are formulated. Finally, it offers suggestions on how to answer normative questions.

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