Human geography or anthropogeography is the branch of geography which studies spatial relationships between human communities, cultures, economies, and their interactions with the environment, examples of which include urban sprawl and urban redevelopment. It analyzes spatial interdependencies between social interactions and the environment through qualitative and quantitative methods. This multidisciplinary approach draws from sociology, anthropology, economics, and environmental science, contributing to a comprehensive understanding of the intricate connections that shape lived spaces.
Research is "creative and systematic work undertaken to increase the stock of knowledge". It involves the collection, organization, and analysis of evidence to increase understanding of a topic, characterized by a particular attentiveness to controlling sources of bias and error. These activities are characterized by accounting and controlling for biases. A research project may be an expansion of past work in the field. To test the validity of instruments, procedures, or experiments, research may replicate elements of prior projects or the project as a whole.
Social science is one of the branches of science, devoted to the study of societies and the relationships among members within those societies. The term was formerly used to refer to the field of sociology, the original "science of society", established in the 18th century. In addition to sociology, it now encompasses a wide array of academic disciplines, including anthropology, archaeology, economics, geography, history, linguistics, management, communication studies, psychology, culturology and political science.
Computational archaeology is a subfield of digital archeology that focuses on the analysis and interpretation of archaeological data using advanced computational techniques. This field employs data modeling, statistical analysis, and computer simulations to understand and reconstruct past human behaviors and societal developments. By leveraging Geographic Information Systems (GIS), predictive modeling, and various simulation tools, computational archaeology enhances the ability to process complex archaeological datasets, providing deeper insights into historical contexts and cultural heritage.
Economic geography is the subfield of human geography that studies economic activity and factors affecting it. It can also be considered a subfield or method in economics.
Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling a group of people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and their behaviors.
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
In geography, the quantitative revolution (QR) was a paradigm shift that sought to develop a more rigorous and systematic methodology for the discipline. It came as a response to the inadequacy of regional geography to explain general spatial dynamics. The main claim for the quantitative revolution is that it led to a shift from a descriptive (idiographic) geography to an empirical law-making (nomothetic) geography. The quantitative revolution occurred during the 1950s and 1960s and marked a rapid change in the method behind geographical research, from regional geography into a spatial science.
Health geography is the application of geographical information, perspectives, and methods to the study of health, disease, and health care. Medical geography, a sub-discipline of, or sister field of health geography, focuses on understanding spatial patterns of health and disease in relation to the natural and social environment. Conventionally, there are two primary areas of research within medical geography: the first deals with the spatial distribution and determinants of morbidity and mortality, while the second deals with health planning, help-seeking behavior, and the provision of health services.
Evidence-based policy is a concept in public policy that advocates for policy decisions to be grounded on, or influenced by, rigorously established objective evidence. This concept presents a stark contrast to policymaking predicated on ideology, 'common sense', anecdotes, or personal intuitions. The methodology employed in evidence-based policy often includes comprehensive research methods such as randomized controlled trials (RCT). Good data, analytical skills, and political support to the use of scientific information are typically seen as the crucial elements of an evidence-based approach.
The neighborhood effect is an economic and social science concept that posits that neighbourhoods have either a direct or an indirect effect on individual behaviors. Although the effect of the neighbourhood was already known and studied at the beginning of the 20th century and as early as the mid-19th century, it has become a popular approach after the publication of the book The Truly Disadvantaged by William Julius Wilson in 1987. Wilson's theory suggests that living in a neighbourhood seriously affected by poverty affects a wide range of individual outcomes, such as economic self-sufficiency, violence, drug use, low birthweight, and cognitive ability. Many scholars and activists consider Wilson's book The Truly Disadvantaged the "bible" of scholarship on the neighborhood effect. The Truly Disadvantaged has been a stepping stone for a great deal of research on the neighbourhood effect, particularly on education, exploring the impacts of neighborhoods on an individual's outcome and performance in life. Since Wilson there has been a substantial literature written on neighborhood effects, and many challenges remain.
Quantitative geography is a subfield and methodological approach to geography that develops, tests, and uses scientific, mathematical, and statistical methods to analyze and model geographic phenomena and patterns. It aims to explain and predict the distribution and dynamics of human and physical geography through the collection and analysis of quantifiable data. The approach quantitative geographers take is generally in line with the scientific method, where a falsifiable hypothesis is generated, and then tested through observational studies. This has received criticism, and in recent years, quantitative geography has moved to include systematic model creation and understanding the limits of their models. This approach is used to study a wide range of topics, including population demographics, urbanization, environmental patterns, and the spatial distribution of economic activity. The methods of quantitative geography are often contrasted by those employed by qualitative geography, which is more focused on observing and recording characteristics of geographic place. However, there is increasing interest in using combinations of both qualitative and quantitative methods through mixed-methods research to better understand and contextualize geographic phenomena.
Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed. The study of why things occur is called etiology, and can be described using the language of scientific causal notation. Causal inference is said to provide the evidence of causality theorized by causal reasoning.
The New Zealand Attitudes and Values Study (NZAVS) is a longitudinal study conducted in New Zealand. The NZAVS was started in 2009 by Chris Sibley, a professor in psychology at the University of Auckland. The NZAVS was inspired by major social surveys conducted internationally, such as the National Election Studies, the World Values Survey and the General Social Survey, and aims to provide a similar resource for New Zealand. As of January 29, 2024, the NZAVS research team had published over 250 peer reviewed publications using data from the study.
Li Cai is a statistician and quantitative psychologist. He is a professor of Advanced Quantitative Methodology at the UCLA Graduate School of Education and Information Studies with a joint appointment in the quantitative area of the UCLA Department of Psychology. He is also Director of the National Center for Research on Evaluation, Standards, and Student Testing, Managing Partner at Vector Psychometric Group.
Daniel John Bauer is an American statistician, professor, and director of the quantitative psychology program at the University of North Carolina, where he is also on the faculty at the Center for Developmental Science. He is known for rigorous methodological work on latent variable models and is a proponent of integrative data analysis, a meta-analytic technique that pools raw data across multiple independent studies.
Mia K. Markey is an American biomedical engineer and an Engineering Foundation Endowed Faculty Fellow in Engineering at University of Texas at Austin and at the MD Anderson Cancer Center. Her research focus is on sex differences and the effects they leave on medical practices, including the psychosocial adjustment women who undergo mastectomies for breast cancer in order to improve their mental and physical well being. Some of her work includes, but is not limited to studying the impact of implant-based breast reduction reconstruction and mastectomies on bra fit. In addition to her work with women with breast cancer, she has also done research addressing body image after facial reconstruction surgery of patients battling facial cancers.
Ulrich Trautwein is a German psychologist and education researcher. He has been a Full Professor of Education Science at the University of Tübingen, Germany, since October 2008. In addition, he has been director of LEAD Graduate School & Research Network at Tübingen University since 2012. Since 2014, he has also headed the Hector Research Institute of Education Sciences and Psychology in Tübingen.
Fiona Alison Steele, is a British statistician. Since 2013, she has been Professor of Statistics at the London School of Economics (LSE).
Ellen Louise "E.L." Hamaker is a Dutch-American psychologist, and statistician. Since 2018 she has been a full professor at Utrecht University, holding the chair Longitudinal Data Analysis at the Department of Methodology and Statistics. Her work focuses on the development of statistical models for the analysis of intensive longitudinal data in psychology, mainly within the frameworks of structural equation modeling and time series analysis.
