Abstract Randomized Controlled Trials (RCTs) are increasingly popular in the social
sciences, not only in medicine. We argue that the lay public, and sometimes researchers, put …

Consumer research is characterized by two types of research contributions: qualitative
researchers propose original theory and quantitative researchers test existing theory. We …

En las investigaciones psicológicas resulta de amplia relevancia conocer si los
cuestionarios utilizados miden los constructos latentes de interés. A tal efecto, el Análisis …

Philosophy of Social Science: A Contemporary Introduction examines perennial questions of
philosophy through engaging the empirical study of society. Questions of normativity …

The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning
varies depending on context and community. Researchers either focus on narrow technical …

What are the priorities for data science in tackling COVID-19, and in which ways can big
data analysis inform and support responses to the outbreak? It is imperative for data …

Background: Basic science has delivered unprecedented insights into intricate relationships
on the smallest scales within well-controlled environments. Addressing pressing societal …

The “credibility revolution” has forced quantitative social scientists to confront the limits of our
methods for creating general knowledge. As a result, many practitioners aim to generate …

In recent years, ML researchers have wrestled with defining and improving machine
learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the …

Literature-based meta-analysis is a standard technique applied to pool results of individual
studies used in medicine and social sciences. It has been criticized for being too malleable …