Journal Citation Reports presents quantifiable statistical data that provides a systematic, objective way to evaluate the world’s leading journals and their impact and influence in the global research community. JCR is available in two editions. The Science Edition and The Social Sciences Edition.
Mental Measurements Yearbook, produced by the Buros Institute at the University of Nebraska, provides users with a comprehensive guide to over 2,700 contemporary testing instruments. Designed for an audience ranging from novice test consumers to experienced professionals, the MMY series contains information essential for a complete evaluation of test products within such diverse areas as psychology, education, business, and leadership. MMY provides coverage from Volume 9 to the present.
Health and Psychosocial Instruments provides ready access to information on measurement instruments (i.e., questionnaires, interview schedules, checklists, index measures, coding schemes/ manuals, rating scales, projective techniques, vignettes/scenarios, tests) in the health fields, psychosocial sciences, organizational behavior, and library and information science. Maximum of 1 simultaneous user.
HaPI assists researchers, practitioners, educators, administrators, and evaluators, including students, to identify measures needed for research studies, grant proposals, client/patient assessment, class papers/projects, theses/dissertations, and program evaluation. By creating an organized resource of previously unavailable measurement information, HaPI: (a) provides a means of locating a variety of instruments, (b) helps to reduce inefficiency and cost, and (c) eliminates duplication and "reinvention of the wheel."
Explaining Psychological Statistics by Barry H. Cohen
Publication Date: 2013-11-18
Praise for the previous edition of Explaining Psychological Statistics "I teach a master's level, one-semester statistics course, and it is a challenge to find a textbook that is at the right level. Barry Cohen's book is the best one I have found. . . . I like the fact that the chapters have different sections that allow the professor to decide how much depth of coverage to include in his/her course. . . . This is a strong and improved edition of an already good book." --Karen Caplovitz Barrett, PhD, Professor, and Assistant Department Head of Human Development and Family Studies, Colorado State University "The quality is uniformly good. . . . This is not the first statistics text I have read but it is one of the best." --Michael Dosch, PhD, MS, CRNA, Associate Professor and Chair, Nurse Anesthesia, University of Detroit Mercy A clear and accessible statistics text-- now fully updated and revised Now with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, from the basic concepts (and limitations) of null hypothesis testing to mixed-design ANOVA and multiple regression. The Fourth Edition covers: Basic statistical procedures Frequency tables, graphs, and distributions Measures of central tendency and variability One- and two-sample hypothesis tests Hypothesis testing Interval estimation and the t distribution
Statistical Methods for Psychology by David C. Howell
Publication Date: 2006-05-08
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this Sixth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.