Thesis (Ed. D.)--Lehigh University, 2005. / Includes vita. Includes bibliographical references (leaves 168-181).

Thesis (Ph.D.)--University of Nebraska-Lincoln, 2007. / Title from title screen (site viewed July 12, 2007). PDF text: viii, 234 p. : ill. UMI publication number: AAT 3252823. Includes bibliographical references. Also available in microfilm and microfiche formats.

Thesis (Ph. D.)--Western Conservative Baptist Seminary, 1986. / Typescript. Includes bibliographical references (leaves 111-124).

Thesis (Ph.D.)--Tennessee Technological University, 2006. / Bibliography: leaves 115-120.

Thesis--Columbia University.

<p> This research study compared the three commonly used norm-referenced assessments (Northwest Evaluation Assessment, STAR Enterprise, and AIMSweb) to the Minnesota Comprehensive Assessment. The basic question was which one of the three assessments provided the best predictive validity scores to the Minnesota Comprehensive Assessment. Yearly scores from three years were gathered to evaluate which one of the three assessments had a stronger correlation score to the MCA. The study was confined to using 4^th grade scores from three different schools located on a Native American reservation. Each school used one of the three common standardized reference assessments, and each school administered the MCA in the spring using winter scores. These scores were used to evaluate whether a student is on track to reach proficiency on the MCA. Findings showed that two of the three assessments had strong correlation scores. NWEA-MAP and STAR Enterprise had the strongest correlation. Further findings showed that STAR Enterprise had the strongest correlation score with a caveat that this is a new assessment and needs more research. Findings from this study allow schools to use two of the assessments with confidence that it is giving them quality scores.</p>

The essence of an examination is stated to be measurement and the thesis analyses the measurements given by some examinations. The methods of scoring examination marks and the application of them are outlined. (i) Factor Analysis of Marks with different Types of Scoring. The marks of two university examinations for eight consecutive years are analysed. In the case of one examination, the instructions given to the examiners demand that the marks should approximately fit a normal distribution curve. The other examination papers are marked without restrictions. In this section an endeavour has been made to determine whether the instructions to fit the marks to a normal distribution curve affect the factors obtained by analysis. (ii) Analysis of Variance of Two Sets of Scores for Some. Examination Candidates The college assessment and the examiner's mark for one subject in a university examination are analysed to test the significance of the difference between the variances of the two sets of scores. The revising examiner has marked independently some of the border-line cases together with some of the poorest and best papers picked at random. The significance of the difference between the variances of these re-markings and the original marks is also tested.(iii) Correlations between Persons. The marks of an examination for entrance to secondary schools are analysed. In this case the same candidates are examined in both 1937 and 1938. One purpose of this analysis is to determine the change if any, in the factor saturations for the set of persons after the lapse of a year, using Burt's method. The second aim is to try out another method which has recently been evolved and to test the agreement of the results obtained by this method with those obtained by using Burt's method. Results and Conclusions The main conclusions are:- (i) According to the data used in this research, fitting the score-scatter to a normal distribution curve does not influence the resulting factors. Some interesting facts concerning the individual examinations are revealed. (ii) In many cases the difference between the college assessment and the examiner's marks is significant. There is evidence that there is no difference in the average mark assigned by the first and revising examiners, and that the marks do bear some relation to the ability of the individual concerned.( iii) There is reasonable agreement in the first factor saturation of the marks of both years but there are differences in value and sign in the second and third factor saturations. The other method used gives results which agree to the degree of accuracy used.

Thesis (Ed.D.)--Boston University.

Thesis (Ed.D.)--Boston University.

Multivariate meta-analysis methods typically assume the dependence of effect sizes. One type of experimental-design study that generates dependent effect sizes is the multiple-endpoint study. While the generalized least squares (GLS) approach requires the sample covariance between outcomes within studies to deal with the dependence of the effect sizes, the univariate three-level approach does not require the sample covariance to analyze such multivariate effect-size data. Considering that it is rare that primary studies report the sample covariance, if the two approaches produce the same estimates and corresponding standard errors, the univariate three-level model approach could be an alternative to the GLS approach. The main purpose of this dissertation was to compare these two approaches under the random-effects model for synthesizing standardized mean differences in multiple-endpoints experimental designs using a simulation study. Two data sets were generated under the random-effects model: one set with two outcomes and the other set with five outcomes. The simulation study in this dissertation found that the univariate three-level model yielded the appropriate parameter estimates and their standard errors corresponding to those in the multivariate meta-analysis using the GLS approach. / A Dissertation submitted to the Department of Educational Psychology and Learning Systems in partial fulfillment of the requirements for the degree of Doctor of Philosophy. / Fall Semester, 2014. / November 6, 2014. / effect sizes, gls, meta-analysis, multilevel, multivariate / Includes bibliographical references. / Betsy Jane Becker, Professor Directing Dissertation; Fred Huffer, University Representative; Insu Paek, Committee Member; Yanyun Yang, Committee Member.