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Smith, Thomas M.; Cannata, Marisa; Haynes, Katherine Taylor – Teachers College Record, 2016
Background/Context: Mixed methods research conveys multiple advantages to the study of complex phenomena and large organizations or systems. The benefits are derived from drawing on the strengths of qualitative methods to answer questions about how and why a phenomenon occurs and those of quantitative methods to examine how often a phenomenon…
Descriptors: Mixed Methods Research, School Effectiveness, High Schools, Best Practices
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Luo, Mingchu – Educational Administration Quarterly, 2008
Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…
Descriptors: Research Design, Structural Equation Models, Vision, Decision Making
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Dutka, Solomon; Frankel, Lester R. – American Behavioral Scientist, 1993
Describes three classes of measurement techniques: (1) interviewing methods; (2) record retrieval procedures; and (3) observation methods. Discusses primary reasons for measurement error. Concludes that, although measurement error can be defined and controlled for, there are other design factors that also must be considered. (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory
Brown, James Dean – 1997
A discussion of survey methodology for investigating second language programs and instruction examines two methods: oral interviews and written questionnaires. Each method is defined, and variations are explored. For interviews, this includes individual, group, and telephone interviews. For questionnaires, this includes self-administered and…
Descriptors: Classroom Techniques, Curriculum Development, Data Collection, Data Interpretation
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Hosseini, Jamshid C.; Armacost, Robert L. – American Behavioral Scientist, 1993
Maintains that the need for gathering sensitive information frequently arises in planning and implementing organizational surveys. Describes methods of designing the instrument format and the mode of data collection. Provides a description and process summary of the Randomized Response Technique (RRT). (CFR)
Descriptors: Data Analysis, Data Interpretation, Higher Education, Needs Assessment
Mertens, Donna M.; McLaughlin, John A. – 2003
This text is designed to enable educators to design, conduct, and report research and evaluation in a way that transforms special education by addressing the needs of persons with disabilities as heterogeneous, cultural groups. The book explores ways to adapt those research methods to the special education context by providing a framework for…
Descriptors: Classroom Research, Data Analysis, Data Collection, Data Interpretation