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Greenhouse, Joel B.; And Others – Journal of Consulting and Clinical Psychology, 1989
Introduces statistical methods for evaluating differences in patterns of time to response between two subject groups to determine better therapy. Uses data from hypothetical clinical trial to illustrate two elementary methods for analyzing survival data. Discusses generalization of methods to incorporate covariates. Concludes with general…
Descriptors: Clinical Psychology, Data Analysis, Research Design, Statistical Analysis
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Cook, William L. – Journal of Consulting and Clinical Psychology, 1994
Notes that conventional statistical models are not suited for analysis of nonindependent observations produced by family systems. Demonstrates how structural equation modeling enables the study of family processes in a way that is consistent with a systems perspective. Uses analysis of perceived coerciveness in two-parent, two-child families to…
Descriptors: Data Analysis, Family Relationship, Interpersonal Relationship, Research Design
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Snow, Richard E. – Journal of Consulting and Clinical Psychology, 1991
Reviews concepts of aptitude and aptitude-treatment interaction (ATI) and summarizes lessons learned in ATI research on educational treatments to help ATI research on psychotherapeutic treatments. Research design and data analysis recommendations address aptitude distributions, multivariate aptitude complexes, detective work with scatterplots,…
Descriptors: Aptitude, Aptitude Treatment Interaction, Counseling Techniques, Data Analysis
Peer reviewed Peer reviewed
Hoyle, Rick H.; Smith, Gregory T. – Journal of Consulting and Clinical Psychology, 1994
Defines structural equation modeling as comprehensive, flexible approach to research design and data analysis. Provides conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.…
Descriptors: Clinical Psychology, Data Analysis, Hypothesis Testing, Research and Development
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Wampold, Bruce E.; Freund, Richard D. – Journal of Counseling Psychology, 1987
Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…
Descriptors: Behavioral Science Research, Counseling, Data Analysis, Multiple Regression Analysis
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Whitt, Elizabeth J. – Journal of College Student Development, 1991
Provides an introduction to qualitative research methods. Describes principles of qualitative research and discusses appropriateness of qualitative methods for student affairs research. Explains qualitative methods, including design, data collection and analysis, and reporting of results. Identifies and addresses problems of trustworthiness of…
Descriptors: College Students, Data Analysis, Data Collection, Higher Education
Wilde, Judith – National Clearinghouse for English Language Acquisition and Language Instruction NCELA, 2004
The purpose of scientifically-based research within No Child Left Behind (NCLB) is to identify and disseminate conclusive information on ?what works? in education, with an emphasis on determining what instructional input (curricula, instructional techniques) works to increase student outcomes such as academic achievement and language proficiency.…
Descriptors: Scientific Research, Educational Research, Research Methodology, Research Design
Greene, Jennifer C.; Kellogg, Theodore – 1977
Statewide assessment data available from two school years, two grade levels, and five sources (achievement tests; student, principal, and teacher questionnaires; and principal interviews), were aggregated to more closely investigate the relationship between student/school characteristics and student achievement. To organize this large number of…
Descriptors: Academic Achievement, Data Analysis, Databases, Educational Assessment