Results 11 to 20 of about 1,074,440 (191)

A Methodological Blueprint for Social Sciences Research – The Social Sciences Research Methodology Framework

open access: yesEIRP Proceedings, 2020
Most research practice constructs in social sciences are predominantly well defined and constructed, yet many authors hold different interpretations of certain key terms and concepts, causing a degree of confusion, overlap and uncertainty.
Norbert E Haydam, Pieter Steenkamp
doaj   +1 more source

An Exposition of Research Methodology in Management and Social Sciences [PDF]

open access: yesJournal of Economic Development, Environment and People, 2013
In writing this paper the author has consciously stood apart from his earlier works and attempted to dispassionately review his own position so that some degree of clarity of thought might emerge in the process.
Sorab Sadri
doaj   +3 more sources

The impact of open access mandates on scientific research and technological development in the U.S.

open access: yesiScience, 2023
Summary: Getting to a net-zero emissions economy requires faster development and diffusion of novel clean energy technologies. We exploit a rare natural experiment to study the impact of an open-access mandate on the diffusion of scientific research into
Benedict Probst   +3 more
doaj   +1 more source

Scope and financial impact of unpublished data and unused samples among U.S. academic and government researchers

open access: yesiScience, 2023
Summary: Unpublished data and unused samples are common byproducts of research activity, but little is known about the scope and economic impact of their disuse.
Emma C. Bowers   +3 more
doaj   +1 more source

Quantitative Research: A Successful Investigation in Natural and Social Sciences

open access: yesJournal of Economic Development, Environment and People, 2020
Research is the framework used for the planning, implementation, and analysis of a study. The proper choice of a suitable research methodology can provide an effective and successful original research.
H. Mohajan
semanticscholar   +1 more source

Editorial: Methodological issues in psychology and social sciences research

open access: yesFrontiers in Psychology, 2023
In recent decades, the classical methods of studying the psychometric properties of tests have advanced to evolve into new innovative statistical methods, which allows obtaining a new view of the data. In this sense, progress has been made in the use of item response theory and in the use of structural equation models.
Espejo Tort, Begoña   +2 more
openaire   +4 more sources

The Living Lab as a Methodology for Public Administration Research: a Systematic Literature Review of its Applications in the Social Sciences

open access: yesInternational Journal of Public Administration, 2019
Living labs have become a promising methodology for public administration research to design and study public innovations. Surprisingly, public administration research has paid scant attention to living labs to date.
R. Dekker   +2 more
semanticscholar   +1 more source

Thought consciousness and source monitoring depend on robotically controlled sensorimotor conflicts and illusory states

open access: yesiScience, 2021
Summary: Thought insertion (TI) is characterized by the experience that certain thoughts, occurring in one's mind, are not one's own, but the thoughts of somebody else and suggestive of a psychotic disorder.
Andrea Serino   +11 more
doaj   +1 more source

Trends and research methods in the science of accounting in Poland and worldwide [PDF]

open access: yesZeszyty Teoretyczne Rachunkowości, 2013
Accounting is seen as both a practical activity with a long tradition, as well as a scientific discipline, despite the fact that there were voices among scientists (Demski, 2007; Fellingham, 2007) that challenge the academic nature of this subject.
Justyna Dobroszek, Jan Michalak
doaj   +1 more source

Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences

open access: yesScience Advances, 2022
Machine learning (ML) methodology used in the social and health sciences needs to fit the intended research purposes of description, prediction, or causal inference.
A. Leist   +6 more
semanticscholar   +1 more source

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