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Hardin, Andrew M.; Chang, Jerry Cha-Jan; Fuller, Mark A.; Torkzadeh, Gholamreza – Educational and Psychological Measurement, 2011
The use of causal indicators to formatively measure latent constructs appears to be on the rise, despite what appears to be a troubling lack of consistency in their application. Scholars in any discipline are responsible not only for advancing theoretical knowledge in their domain of study but also for addressing methodological issues that…
Descriptors: Structural Equation Models, Measurement, Statistical Data, Meta Analysis
Purdam, Kingsley; Afkhami, Reza; Olsen, Wendy; Thornton, Patricia – Disability & Society, 2008
In this article we identify the key survey data for examining the issue of equality in the lives of disabled people in the UK. Such data is essential for assessing change in quality of life over time and for the evaluation of the impact of policy initiatives. For each data source we consider definitions, data collection, issue coverage, sample…
Descriptors: Definitions, Quality of Life, Disabilities, National Surveys

Koslowsky, Meni; Sagie, Abraham – Educational and Psychological Measurement, 1992
META-RAND, a Statistical Analysis System macro that generates random values used for calculating correlations in a meta analysis, is described. Output consists of uncorrected and corrected mean and variances of "r" and several measures of the degree of homogeneity or heterogeneity in the data. (SLD)
Descriptors: Computer Software, Correlation, Meta Analysis, Research Methodology

Kohn, Alfie – Review of Educational Research, 1996
The meta-analysis of J. Cameron and W. D. Pierce (1994), which purports to demonstrate that extrinsic rewards may not undermine intrinsic motivation, is unpersuasive by virtue of its methodologies, its tendency to ignore important distinctions, and its failure to include certain evidence. (Author/SLD)
Descriptors: Meta Analysis, Motivation, Motivation Techniques, Reinforcement

Lepper, Mark R.; And Others – Review of Educational Research, 1996
Provides a critical analysis of the meta-analysis of J. Cameron and W. D. Pierce (1994) of the experimental literature on the effects of extrinsic rewards on intrinsic motivation. Their overly simplistic conclusion has little theoretical or practical value and results from misuse of meta-analytic procedures. (SLD)
Descriptors: Meta Analysis, Motivation, Motivation Techniques, Reinforcement

Kavale, Kenneth A. – Evaluation and the Health Professions, 1995
Explores the nature of meta-analysis by placing it in the context of research synthesis. Methods of meta-analysis are described and compared with other forms of research integration, and findings for several meta-analyses are provided to show advantages of quantitative review methods. (SLD)
Descriptors: Comparative Analysis, Effect Size, Health, Medical Care Evaluation

Cameron, Judy; Pierce, W. David – Review of Educational Research, 1996
The results of a meta-analysis that found that rewards do not threaten intrinsic motivation have not been well accepted by those who argue rewards produce negative effects under a wide range of conditions. Nevertheless, the results and conclusions of the meta-analysis are held to be valid. (SLD)
Descriptors: Meta Analysis, Models, Motivation, Motivation Techniques

Ryan, Richard M.; Deci, Edward L. – Review of Educational Research, 1996
The conclusion of J. Cameron and W. D. Pierce that rewards do not pose a threat to intrinsic motivation (1994) is a misrepresentation of the literature based on a flawed meta-analysis. Their analysis is more an attempt to defend behaviorist turf rather than meaningful consideration of relevant data and issues. (Author/SLD)
Descriptors: Behaviorism, Meta Analysis, Models, Motivation

Harwell, Michael R. – Journal of Educational Statistics, 1992
A methodological framework is provided for quantitatively integrating Type I error rates and power values for Monte Carlo studies. An example is given using Monte Carlo studies of a test of equality of variances, and the importance of relating metanalytic results to exact statistical theory is emphasized. (SLD)
Descriptors: Computer Simulation, Data Interpretation, Mathematical Models, Meta Analysis

Hedges, Larry V. – Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (metanalysis) has a long history, with work mainly divided into tests of the statistical significance of combined results and methods for combining estimates across studies. Methods of metanalysis and their applications are reviewed. (SLD)
Descriptors: Chi Square, Educational Research, Effect Size, Estimation (Mathematics)

Hillocks, George Jr. – American Journal of Education, 1984
Provides an integrative review of experimental treatment studies on the teaching of composition in the past two decades. Assesses the effectiveness of different modes of instruction and different focuses of instruction. Outlines the implications of the results for policy at local, state, and national levels and for future research. (RDN)
Descriptors: Course Content, Educational Policy, Elementary Secondary Education, Evaluation Methods