Thesis (Ed. D.)--Teachers College, Columbia University, 1986. / Typescript; issued also on microfilm. Dissertation Committee: William G. Anderson, JoAnn Jacullo-Noto. Bibliography: leaves 148-152.

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The purpose of this paper is to identify and examine some of the factors affecting pupil-parent evaluation of a Florida high school system for white children in a conservative county. The problem will be handled in such manner that it is expected that a group of valid findings and conclusions will emerge. It is hoped that the findings and conclusions will be of such nature that they will prove helpful to administrators and officials in this school system, and systems in other conservative counties, in formulating future plans and policy. In addition, it is expected that data will emerge that will indicate to some extent the degree to which the parents and pupils agree with the findings and recommendations of the latest evaluation of their school by an Evaluating Committee representing the Southern Association of Colleges and Secondary Schools. / Advisor: Virgil E. Strickland, Professor Directing Paper. / "June, 1953." / Typescript. / "Submitted to the Graduate Council of Florida State University in partial fulfillment of the requirements for the degree of Master of Science." / Includes bibliographical references (leaf 81).

This study was conducted to develop a statistical model of the influence of course characteristics on student ratings of instruction. Unique to this study was the inclusion of the student participation rate as a variable. Other course characteristics studied were: expected grade, attendance, grade point average, sex of students, reason for taking the course, academic field, student level, course level, major, and class size. Stepwise multiple regression analysis was employed using two measures of global ratings of instruction as criterion variables: 1) a single item rating the overall "favorable impression" the instructor had on the students (global), and 2) the average of twelve items rating the instructor's effectiveness (overall). Course averages or proportions were calculated for each variable. A model was developed using 1989 Fall Term data (952 courses), and tested using 1990 Fall Term data (1,052 courses) from Oregon State University. Results of the regression analysis showed that approximately 20% of the variance found in the equations could be explained by five variables: expected grade, participation rate, attendance, sex, and grade point average. Expected grade was by far the best predictor accounting for 13% to 14% of the variance (at least r=.36 with criterion variables). Participation rate accounted for as much as 3% of the variance (roughly r=.2) and contributed significantly to all four equations. A correlation of -.42 was found for participation rate and class size. Results suggest participation rate has a relationship with student ratings of instruction and further study is warranted. Reason and academic field also explained small significant amounts of the variance in at least one equation each. The results were determined to be reproducible; equations generated with the 1990 test data were very similar to the 1989 data. Very high correlations were found between the global and overall criterion variables (r> .95); the single item variable produced the same results as the average of twelve items. A significant correlation of more than .5 was found between academic field and sex of student. The 80% unexplained variance is discussed. / Graduation date: 1993

Thesis (Ed. D.)--Illinois State University, 1997. / Title from title page screen, viewed June 2, 2006. Dissertation Committee: Larry Kennedy (chair), John Goeldi, Barbara Nourie, William Tolone. Includes bibliographical references (leaves 85-90) and abstract. Also available in print.

The problem of this investigation is to determine the relationships between certain cognitive, conative, and demographic variables and student ratings of instructors and introductory economics courses at North Texas State University. In addition, the study seeks to determine whether significant, interactive effects exist among the seventeen main variables: pretest, posttest, sex, age, college major, required course, actual grade, residence, SAT, socioeconomic class, Opinionation, Dogmatism, instructor, course rating, instructor rating, expected grade, and attitude. The principal sources of data are students' test scores on the Test of Understanding in College Economics, Rokeach Scales of Opinionation and Dogmatism, Modified Purdue Rating Scale, Personal Data Sheet with Hollingshead Index, and Questionnaire on Student Attitude Toward Economics-Revised. The organization of the study includes a statement of the problems, a review of the literature related to student ratings of courses and instructors, the ethodology used in the statistical analysis of the data, an analysis of the data, and the findings, conclusions, implications, and recommendations for additional research. Chapter I introduces the background and significance of the problems. Hypotheses are stated in the research form, terms in the study are defined, and limitations are delineated. Chapter II is a topically-arranged review of the related literature, including both experimental and descriptive studies. Literature is included on student ratings of courses and instructors, attitude, achievement, grades (actual and expected), and student characteristics. Chapter III includes information on the population of the study, the Test of Understanding in College Economics, Modified Purdue Rating Scale for College Instructors, the Rokeach Dogmatism and Opinionation Scales, the Questionnaire on Student Attitude Toward Economics-Revised, Hollingshead Two-Factor Index of Social Position, the variables used in each study, methods of data collection, and stepwise multiple linear regression, the basic statistical design employed in the study, with a nonlinearity factor added. In Chapter IV, data were analyzed and reported in tables of regression coefficients on Studies One through Six: actual grade, course rating, instructor rating, expected grade, student attitude, and posttest. A summary table is included for the significant, absolute beta coefficients for these six studies. Chapter V concludes that grade expectations, Opinionation and Dogmatism, ability levels, and attitude influence student ratings. For example, very bright students tended to be more discriminating in their ratings of their courses. Students who liked the instructor and were less open-minded tended to rate the course high. Grade expectations tended to exert a negative influence on course ratings; students with high grade expectations rated the course low, and students with low grade expectations rated the course high. The combination of a student with high grade expectations and a student with high SAT score resulted in a low rating for the instructor. A student's background (Dogmatism, Opinionation, and place of residence) influenced his attitude toward economics. Higher grade expectations were correlated significantly with a favorable attitude toward economics. Significant demographic variables related to conative and cognitive variables were SAT, expected grade, actual grade, Hollingshead socioeconomic class, residence, Dogmatism, and Opinionation. The implication from these findings is to use student ratings cautiously as a consideration for university merit raises and/or faculty promotions. Reasons for caution stem from the significant findings of the influence on student ratings of several cognitive, conative, and demographic variables. Too much appears to be happening in the teaching-learning process which cannot be measured accurately.

Indiana University-Purdue University Indianapolis (IUPUI) / Lack of presence in online courses can result in perceived isolation leading to student dissatisfaction with the learning experience. The purpose of this study was to measure nursing students' perceived extent of teaching, social and cognitive presence and course satisfaction in an online undergraduate nursing course, and whether relationships and associations existed between the three presences, course satisfaction, student demographic, academic, and technology variables, and selected instructional strategies. The Community of Inquiry theory was the framework used in this descriptive correlational study of RN-BSN students (n= 76). Variables were measured using the Community of Inquiry Survey and the Perceived Student Satisfaction Scale instruments, and a researcher developed survey. Findings indicated students' perceived teaching and cognitive presence were present to a greater extent than social presence. Significant positive correlations (p < .01) were found between teaching and cognitive presence (r =.79), cognitive and social presence (r =.64), teaching and social presence (r =.52), satisfaction and the teaching (r =.77), social (r =.63), and cognitive (r =.52) presences. There were no significant findings associated with age, ethnicity, race, number of online courses taken, expected course grade or GPA and perceptions of the three presences and course satisfaction. There was a significant difference (p ≤ .05) with gender and perceived social presence with male students reporting stronger levels. Students experiencing course technology difficulties reported significantly (p ≤ .05) lower perceptions of teaching presence than those experiencing no difficulty. Significant differences (p ≤ .05) were found between specific course instructional strategies and each presence and course satisfaction. The findings provide faculty with an understanding of online course management and teaching/learning strategies that may increase students' perceptions of presence in online courses and improve student satisfaction with online learning.