Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods. Please email your manuscript as an attachment in either, Microsoft Word (.doc) or pdf file format to: jrodgers@ou.edu. Alternatively, you may also mail a disk copy to: Joseph Lee Rodgers, Department of Psychology, 455 West Lindsey Street, University of Oklahoma, Norman, OK 73019, USA. For queries about submitting, call (+1) 405-325-4591 or email Joseph Lee Rodgers at the email adress above. RELATED LINKS * Research Methods books * Research Methods conferences * Join the Psychology Press Research Methods mailing list!Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.
NHM is a quarterly publication in March, June, September and December. It is now online only. To submit, send a pdf directly to the Editor in Chief, Benedetto Piccoli, at nhmaims@camden.rutgers.edu. NHM offers a strong combination of three features: Interdisciplinary character, specific focus, and deep mathematical content. Also, the journal aims to create a link between the discrete and the continuous communities, which distinguishes it from other journals with strong PDE orientation. NHM publishes original contributions of high quality in networks, heterogeneous media and related fields. NHM is thus devoted to research work on complex media arising in mathematical, physical, engineering, socio-economical and bio-medical problems. NHM is covered in Science Citation Index Expanded, CompuMath Citation Index, Current Contents/Engineering, Computing, and Technology ISI Alerting Services.
Operations Research and Management Science has matured over the last 60 years. Nowadays it is a truly interdisciplinary field, intermixing theories and methodologies from mathematics, management science, computer science, operations management, economics, engineering, decision support, soft computing and many more, even reaching into psychology, ergonomics, knowledge management, education, quality management and biology.
Rather than disseminating the different scholarly papers among a large number of journals, or focusing on specialized topics in niche publications,
Benefits to authors
Another key benefit is a series of cross-editorial agreements with other major operations research journals, namely
We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our
Publishing international research papers on current practical issues in applied economics, the Oxford Bulletin of Economics and Statistics is essential reading for academic and professional economists in both the private and public sector. Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.
Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers. The aims of the Journal are to:
Physica A publishes research in the field of statistical mechanics and its applications.Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.Specific subfields covered by the journal are:• Random systems• Fluids, granular and soft matter• Dynamical processes• Fundamental and general methods• Models• Biological, ecological and evolutionary systems• Econophysics• Other Interdisciplinary applications• Other Complex systems• Networks• Systems Biology• Classical and quantum informationBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com
Physical Review E (PRE) is a broad and interdisciplinary journal focusing on collective phenomena of many-body systems. As the premier journal in the interrelated areas of statistical, nonlinear, biological, and soft matter physics, PRE covers recent developments in complex fluids, polymers, liquid crystals, and granular materials. The journal also includes sections on solid mechanics, fluid dynamics, plasma physics, computational physics, networks, and complex systems.
This journal publishes research papers in modern probability theory, its relations to analysis, geometry and other areas in mathematics, and its various fields of application. It also contains survey papers on emerging areas of importance. The subjects covered in Probability Theory and Related Fields include: statistical mechanics, ergodic theory, mathematical biology, filtering theory, mathematical statistics, theoretical computer science, optimization and control, stochastic geometry, and stochastic algorithms.
PSICOLOGICA was born in 1980 as an instrument for publication of articles in Methodology and Experimental Psychology. This is an open access journal, available since 1998. It is published in 1 volume per year (2 issues) by the Department of Methodology of the Behavioral Sciences of the University of Valencia (Spain) (Legal Dep.: -1419-1981. print ISSN 0211-2159, electronic ISSN 1576-8597). We maintain a MAILING LIST with the addresses of all interested readers to keep them periodically informed of accepted papers and news. If you are interested in receiving this information, please register at the FECYT (Spanish Foundation for Science and Technology) repository. PSICOLOGICA is included in several databases such as PsycINFO, Psyclit Database, Psychological Abstracts, Ulrich International Periodical Directory, PUBLIST (The Internet Directory Publications), ISSN International, PSICODOC, the ISOC database (PSEDISOC), CSIC-RISO, CIRBIC-REVISTAS, COMPLUDOC, and in the Spanish listing of Social Sciences, A: Psychology and Education. More important, as of January, 2005, PSICOLOGICA is been covered in the SOCIAL SCIENCE CITATION INDEX (Thomson-ISI).
Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. The journal publishes papers on models of classification, methods for constructing typologies, models of simulation, neural networks and fuzzy sets for social research, mathematical models applied to social mobility, mathematical models of voting behavior, qualitative methodology and feminist methodology, discussions on the general logic of empirical research, analysis of the validity and verification of social laws, and similar topics. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as mathematics and statistics with the social sciences, particularly sociology, economics, and social psychology. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.