NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 85 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Htay-Wah Saw; Brady T. West; Mick P. Couper; William G. Axinn – Field Methods, 2024
The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel…
Descriptors: National Surveys, Data Collection, Experimenter Characteristics, Participant Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Gagnon, Ryan J.; Stone, Garrett A.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2017
Critically examining common statistical approaches and their strengths and weaknesses is an important step in advancing recreation and leisure sciences. To continue this critical examination and to inform methodological decision making, this study compared three approaches to determine how alternative approaches may result in contradictory…
Descriptors: Recreation, Recreational Programs, Educational Research, Research Methodology
Kinnear, Virginia; Clark, Julie – Mathematics Education Research Group of Australasia, 2014
This paper reports findings from a classroom based study with 5 year old children in their first term of school. A data modelling activity contextualised by a picture story book was used to present a prediction problem. A data table with numerical data values provided for three consecutive days of rubbish collection was provided, with a fourth day…
Descriptors: Probability, Mathematical Logic, Thinking Skills, Young Children
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Sheehan, Michael D.; Johnson, R. Burke – Educational Technology Research and Development, 2012
The purpose of this research was to probe the philosophical beliefs of instructional designers using sound philosophical constructs and quantitative data collection and analysis. We investigated the philosophical and methodological beliefs of instructional designers, including 152 instructional design faculty members and 118 non-faculty…
Descriptors: Realism, Ethnicity, Research Methodology, Ethics
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
Peer reviewed Peer reviewed
PDF on ERIC Download full text
National Center for Education Statistics, 2013
The 2011 NAEP-TIMSS linking study conducted by the National Center for Education Statistics (NCES) was designed to predict Trends in International Mathematics and Science Study (TIMSS) scores for the U.S. states that participated in 2011 National Assessment of Educational Progress (NAEP) mathematics and science assessment of eighth-grade students.…
Descriptors: Grade 8, Research Methodology, Research Design, Trend Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Richards, Adam S. – Communication Education, 2012
This case study of the Department of Communication at the University of Maryland demonstrates the need to consider course sequencing in the communication curriculum. The investigation assessed whether the order in which undergraduates took courses predicted grade performance. Students' (N = 6,166) grade data from earlier courses were used to…
Descriptors: Program Effectiveness, Introductory Courses, Curriculum Development, Social Sciences
Peer reviewed Peer reviewed
Direct linkDirect link
Lynn, Richard – Intelligence, 2010
Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…
Descriptors: Intelligence, Income, Criticism, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Cohen, Ayala; Nahum-Shani, Inbal; Doveh, Etti – Multivariate Behavioral Research, 2010
In their seminal paper, Edwards and Parry (1993) presented the polynomial regression as a better alternative to applying difference score in the study of congruence. Although this method is increasingly applied in congruence research, its complexity relative to other methods for assessing congruence (e.g., difference score methods) was one of the…
Descriptors: Behavioral Sciences, Evaluation Methods, Social Sciences, Social Support Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Lecoutre, Bruno; Lecoutre, Marie-Paule; Poitevineau, Jacques – Psychological Methods, 2010
P. R. Killeen's (2005a) probability of replication ("p[subscript rep]") of an experimental result is the fiducial Bayesian predictive probability of finding a same-sign effect in a replication of an experiment. "p[subscript rep]" is now routinely reported in "Psychological Science" and has also begun to appear in…
Descriptors: Research Methodology, Guidelines, Probability, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Freng, Scott; Webber, David; Blatter, Jamin; Wing, Ashley; Scott, Walter D. – Teaching of Psychology, 2011
Comprehension of statistics and research methods is crucial to understanding psychology as a science (APA, 2007). However, psychology majors sometimes approach methodology courses with derision or anxiety (Onwuegbuzie & Wilson, 2003; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005); consequently, students may postpone…
Descriptors: Majors (Students), Grade Point Average, Research Methodology, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
DaRos-Voseles, Denise A.; Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G. – Journal of Instructional Psychology, 2008
The purpose of the present investigation was to examine the role of self-perception in predicting performance of cooperative learning groups in graduate-level research methodology courses. A total of 29 groups was examined (n = 102 students), ranging in size from 2 to 7. A series of multiple regression analyses revealed that the groups attaining …
Descriptors: Self Concept, Role, Predictive Measurement, Cooperative Learning
Peer reviewed Peer reviewed
Lutz, J. Gary – Educational and Psychological Measurement, 1983
A method is presented for the construction of an artificial data set which will illustrate the behavior of the traditional, the negative, and the reciprocal suppressor variable in multiple regression analysis. It extends the method of Dayton (1972) and includes the previously reciprocal suppression defined by Conger (1974). (Author)
Descriptors: Multiple Regression Analysis, Predictive Measurement, Research Methodology, Suppressor Variables
Peer reviewed Peer reviewed
Pao, Miranda Lee; McCreery, Laurie – Information Processing and Management, 1986
A rudimentary description of Markov Chains is presented in order to introduce its use to describe and to predict authors' movements among subareas of the discipline of ethnomusicology. Other possible applications are suggested. (Author)
Descriptors: Authors, Models, Predictive Measurement, Probability
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6