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Slattery, Timothy J.; Staub, Adrian; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2012
An important question in research on eye movements in reading is whether word frequency and word predictability have additive or interactive effects on fixation durations. A fair number of studies have reported only additive effects of the frequency and predictability of a target word on reading times on that word, failing to show significant…
Descriptors: Eye Movements, Word Recognition, Word Frequency, Reading
Albert Y. Kim; Adriana Escobedo-Land – Journal of Statistics Education, 2015
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…
Descriptors: Statistics, Introductory Courses, Data, Educational Practices
Hovey, Ann – ProQuest LLC, 2012
In recent years the majority of California community colleges evaluated for re-accreditation received sanctions requiring documented improvement in the integration of college planning and budgeting processes. This study explores the challenges colleges face and the best practices utilized by successful colleges in implementing integrated…
Descriptors: Community Colleges, Educational Finance, Income, Prediction
Moosai, Susan – ProQuest LLC, 2010
In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model.…
Descriptors: Expectation, Graduation Rate, Graduation, Predictor Variables
Paredes, Josie Abaroa – ProQuest LLC, 2013
The purpose of this study was to investigate, through quantitative research, effective middle school characteristics that predict student achievement, as measured by the school-wide California API score. Characteristics were determined using an instrument developed by the Office of Superintendent of Public Instruction (OSPI), which asked middle…
Descriptors: Middle Schools, Institutional Characteristics, Prediction, Academic Achievement
McCarty, Kristine A. – ProQuest LLC, 2013
The purpose of this mixed method study was to examine if there is a predictive relationship among special education teachers' sense of teacher efficacy and intent to leave while accounting for job satisfaction and a special education teacher's perceptions of principal support. Electronic surveys were sent via Survey Monkey to a random sample of…
Descriptors: Special Education, Special Education Teachers, Teacher Effectiveness, Self Efficacy
Stuckey, Jennifer W. – ProQuest LLC, 2012
A review of literature suggests women superintendents face several disadvantages gaining access to positions as public school district superintendents. This study focused on (1) which characteristics applied to the prediction of women superintendents in California public K-12 system; (2) if the predecessor's sex predicted for the successor's sex;…
Descriptors: Women Administrators, Superintendents, Females, Gender Bias
Thadani, V.; Breland, W.; Dewar, J. – Journal on Excellence in College Teaching, 2010
Implicit theories about the malleability of skills/abilities have been shown to predict learners' willingness to participate in learning opportunities. The authors examined whether college professors' implicit theories about the malleability of teaching skills predicted their willingness to engage in professional development (PD) related to…
Descriptors: Teaching Skills, Professional Development, College Faculty, Questionnaires
Moosai, Susan; Walker, David A.; Floyd, Deborah L. – Community College Journal of Research and Practice, 2011
Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…
Descriptors: Community Colleges, Graduation Rate, Institutional Evaluation, Institutional Characteristics
Morrison, Michael C.; Schmit, Shelly – Online Submission, 2010
A logit model predicting student outcomes for a gateway course, Math for Liberal Arts, was successfully developed which fits the data well. Two variables, ACT math score and high school GPA, were found to be significant predictors of achieving a C or better in Math for Liberal Arts. A practical implication of the study suggests that with just two…
Descriptors: Grade Point Average, Mathematics Achievement, Prediction, Probability

Le Doux, Eugene P.; Burlingame, Martin – Educational Administration Quarterly, 1973
Scholarly growth in the study of politics of education rests in part on replication of theories to explicate recurring political events. Describes a study that sought to replicate and extend scholarly work done in California concerning the predictions of school board election results. (Author)
Descriptors: Boards of Education, Elections, Models, Politics
Koedel, Cory; Betts, Julian R. – National Center on Performance Incentives, 2007
This study uses administrative data linking students and teachers at the classroom level to estimate teacher value-added to student test scores. We find that variation in teacher quality is an important contributor to student achievement--more important than has been implied by previous work. This result is attributable, at least in part, to the…
Descriptors: Merit Pay, Teacher Effectiveness, Teacher Qualifications, Academic Achievement
Wise, David A. – 1976
Census data were used to predict average district scores on standardized achievement tests for grades one, two, three, six, and twelve, in 716 California school districts. The following census variables were used: education, income, college, poverty (families); poverty (children); professional occupations; housing; Spanish surnames; and Black.…
Descriptors: Academic Achievement, Achievement Tests, Community Characteristics, Cultural Influences