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Fry, Elizabeth Brondos – ProQuest LLC, 2017
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this…
Descriptors: Introductory Courses, Statistics, Concept Formation, Sampling
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
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Lawson, John; Aggarwal, Pankaj; Leininger, Thomas; Fairchild, Kenneth – Journal of Statistics Education, 2011
This article describes a collaborative learning experience in experimental design that closely approximates what practicing statisticians and researchers in applied science experience during consulting. Statistics majors worked with a teaching assistant from the chemistry department to conduct a series of experiments characterizing the variation…
Descriptors: Majors (Students), Research Design, Chemistry, Statistics
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Meyer, Donald L. – 1971
Bayesian statistical methodology and its possible uses in the behavioral sciences are discussed in relation to the solution of problems in both the use and teaching of fundamental statistical methods, including confidence intervals, significance tests, and sampling. The Bayesian model explains these statistical methods and offers a consistent…
Descriptors: Bayesian Statistics, Data Analysis, Decision Making, Mathematical Models
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Da Prato, Robert A. – Topics in Early Childhood Special Education, 1992
This paper argues that judgment-based assessment of data from multiply replicated single-subject or small-N studies should replace normative-based (p=less than 0.05) assessment of large-N research in the clinical sciences, and asserts that inferential statistics should be abandoned as a method of evaluating clinical research data. (Author/JDD)
Descriptors: Evaluation Methods, Evaluative Thinking, Norms, Research Design
Clark, Sheldon B.; Huck, Schuyler W. – 1983
In true experiments in which sample material can be randomly assigned to treatment conditions, most researchers presume that the condition of equal sample sizes is statistically desirable. When one or more a priori contrasts can be identified which represent a few overriding experimental concerns, however, allocating sample material unequally will…
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Power (Statistics)
Smith, Kenneth F. – 1975
The National Food and Agriculture Council of the Philippines regularly requires rapid feedback data for analysis, which will assist in monitoring programs to improve and increase the production of selected crops by small scale farmers. Since many other development programs in various subject matter areas also require similar statistical…
Descriptors: Data Analysis, Data Collection, Guides, Measurement
Miller, John K.; Knapp, Thomas R.
The testing of research hypotheses is directly comparable to the dichotomous decision-making of medical diagnosis or jury trials--not ill/ill, or innocent/guilty decisions. There are costs in both kinds of error, type I errors of falsely rejecting a null hypothesis or type II errors of falsely rejecting an alternative hypothesis. It is important…
Descriptors: Bayesian Statistics, Decision Making, Educational Research, Hypothesis Testing
Helberg, Clay – 1996
Abuses and misuses of statistics are frequent. This digest attempts to warn against these in three broad classes of pitfalls: sources of bias, errors of methodology, and misinterpretation of results. Sources of bias are conditions or circumstances that affect the external validity of statistical results. In order for a researcher to make…
Descriptors: Causal Models, Comparative Analysis, Data Analysis, Error of Measurement
Belcher, Duane M.; Smith, Stephen D. – 1988
PSYCOM is a unique mixed media package which combines high interest projects on the computer with a written text of expository material. It goes beyond most computer-assisted instruction which emphasizes drill and practice and testing of knowledge. A project might consist of a simulation or an actual experiment, or it might be a demonstration, a…
Descriptors: Computer Assisted Instruction, Computer Simulation, Data Collection, Experiments
Benjamin, Ludy T., Jr., Ed. – APA Books, 2008
The most popular activities from APA's successful "Activities Handbooks for the Teaching of Psychology" are gathered together and updated in this book of teachers' favorites. The lesson plans, which encourage active learning and involve the whole class, have stood the test of time and proven themselves to be entertaining, effective, and easy to…
Descriptors: Psychology, Teaching Methods, Learning Activities, Lesson Plans