recentpopularlog in

tsuomela : quantitative   22

Why do funding agencies favor hypothesis testing?
"Exploratory inquiry has difficulty attracting research funding because funding agencies have little sense of how to detect good science in exploratory contexts. After documenting and explaining the focus on hypothesis testing among a variety of institutions responsible for distinguishing between good and bad science, I analyze the NIH grant review process. I argue that a good explanation for the focus on hypothesis testing—at least at the level of science funding agencies—is the fact that hypothesis-driven research is relatively easy to appraise. I then explore one method by which we might gauge the epistemic merits of different styles of inquiry."
sts  science  funding  methods  quantitative  economics  explanation  philosophy 
august 2013 by tsuomela
The Hidden Biases in Big Data - Kate Crawford - Harvard Business Review
"This points to the next frontier: how to address these weaknesses in big data science. In the near term, data scientists should take a page from social scientists, who have a long history of asking where the data they're working with comes from, what methods were used to gather and analyze it, and what cognitive biases they might bring to its interpretation "
big-data  research  quantitative  qualitative  future  social-science  bias 
april 2013 by tsuomela
Qualitative and Mixed Methods Research - Dedoose
"Dedoose is an amazing Web 2.0 application enabling researchers from all disciplines to conduct qualitative and mixed methods research at around $11/month. Designed by UCLA's Drs. Thomas Weisner and Eli Lieber to make mixed methods research intuitive, efficient, and effective."
online  tool  web2.0  research  qualitative  quantitative  methods 
april 2011 by tsuomela
A Tale of Two Cultures: Contrasting Quantitative and Qualitative Research — Political Analysis
"The quantitative and qualitative research traditions can be thought of as distinct cultures marked by different values, beliefs, and norms. In this essay, we adopt this metaphor toward the end of contrasting these research traditions across 10 areas: (1) approaches to explanation, (2) conceptions of causation, (3) multivariate explanations, (4) equifinality, (5) scope and causal generalization, (6) case selection, (7) weighting observations, (8) substantively important cases, (9) lack of fit, and (10) concepts and measurement. We suggest that an appreciation of the alternative assumptions and goals of the traditions can help scholars avoid misunderstandings and contribute to more productive “cross-cultural” communication in political science. "
research  paradigm  quantitative  qualitative  methodology  political-science  social-science 
december 2010 by tsuomela
Welcome | Teaching with Data (QSSDL)
TeachingWithData.org is portal of teaching and learning resources for infusing quantitative literacy into the social science curriculum. A Pathway of the National Science Digital Library, TwD aims to support the social science instructor at secondary and post-secondary schools by presenting user-friendly, data-driven student exercises, pedagogical literature, and much more! Resources are available on a wide range of topics and disciplines.
pedagogy  teaching  education  statistics  data  quantitative  literacy 
november 2010 by tsuomela
Notes from ICOS – Espeland “A Different Kind of Quantitative Sociology” « A (Budding) Sociologist’s Commonplace Book
[Wendy] Espeland’s talk was based on a paper forthcoming in the European Journal of Sociology (co-authored with Mitchell Stevens) entitled “How to Study Numbers: A Different Kind of Quantitative Sociology.” The paper is intended as a programmatic statement for the growing field of the sociology of numbers/statistics/quantification.
sociology  number  quantitative  methods  performative  statistics  history 
october 2010 by tsuomela

Copy this bookmark:





to read