A DEAN'S AND DEPARTMENT CHAIR'S GUIDE TO DOCUMENTING COMPETENCY‐BASED PROGRAM ANALYSIS AND DESIGN IN THE 2‐YEAR COLLEGE

Changes in the new Carl D. Perkins Vocational and Applied Technology Education Act of 1990 have added to existing state and regional accrediting agency pressures for competency‐based instruction. Because of these increasing pressures, deans, department chairs, and administrators of federal vocational funds administered under the act are, and will continue to be, required to provide evidence that their programs are competency based. A three‐step model to competency‐based programs as well as administrator guidelines for needed documentation are presented.     

Effects of Individualized Instruction on Control Expectancy: A Field Test

Abstract

This study was conducted in order to determine whether or not one semester of individualized instruction is enough time to create in students an increased sense of being able to control payoffs in life and to lead students to develop a more realistic appraisal of their ability to control payoffs in an academic environment. Paradoxically, the converse may occur. When first confronted with a success-oriented instructional process and opportunities for self-pacing, students with failure histories may become more external, anxious, or uncertain. In order to examine these notions, a sample of 126 educationally deficient students who were beginning their first semester of study in a community college were selected from 18 different sections of math, English, and history and tested twice—once at the beginning of the term and again late in the term just prior to finals.     

RESULTS OF THE VOCATIONAL EDUCATION DATA SYSTEM EMPLOYER FOLLOW‐UP SURVEY FOR MASSACHUSETTS COMMUNITY COLLEGES

This article presents the results of the Vocational Education Data System employer follow‐up (EFU) survey for graduates of 15 public community colleges who were employed full time between 1 and 2 years after graduation (N = 588). In general, these community college graduates were rated between good and very good on the quality of work and preparation EFU items. No correlations were found between EFU ratings and average hourly wage, even within program areas, indicating that the average hourly wage of community college graduates is a flawed index of program or graduate quality. No significant differences were found between female and male EFU ratings, but large significant differences in average hourly wage were found, even within program areas. This particular and direct finding tends to support current contentions that women are not receiving equal pay for equal quality or work in the marketplace.     

WOMEN FULL-TIME FACULTY OF COLOR IN 2-YEAR COLLEGES: A TREND AND PREDICTIVE ANALYSIS

This study involved trend and predictive analyses to examine changes in the proportional representation of women full-time faculty by race/ethnicity from 1991 to 1997 in a sample of 1,024 matched two-year colleges. Large, Hispanic-serving, Historically Black, and California two-year colleges, along with the percentage of women administrators of color entered as significant positive predictors of change in the proportional representation of women full-time faculty of color. These findings open the door, not only to new ways of informing policy development and practice, but also to future research that can uncover new understandings of gender and race-equitable practices in two-year colleges.     

TWO‐YEAR COLLEGE ATTRITION: DO STUDENT OR INSTITUTIONAL CHARACTERISTICS CONTRIBUTE MOST?

This study examined certain effects of seven student pre‐enrollment characteristics and three student‐institutional characteristics on retention status. Path analysis of these longitudinal data was unable to compare favorably with other studies using similar determinants. Certain practical implications of the study also are presented, emphasizing the burden of evidence that suggests that entering student characteristics cannot be used alone to explain the retention decision, that retention programs should be strategically rather than generically focused, and that program holding power may be related to student career consciousness and goal specificity.     

Promoting Completion Through Organizational Development and Process Improvement

In 2007, Tulsa Community College (TCC) joined the national Achieving the Dream (ATD) network, which is dedicated to developing data-informed interventions to increase persistence and completion among community college students. TCC’s participation in the national initiative set it down a path for positive institutional change, but it was the College’s restructuring of their internal work teams and their process improvements since 2011–2012 that have resulted in a sustainable system that will help retain knowledge and ensure successful leadership transitions. In 2013, TCC rebranded its modified ATD system as Completing the Dream, combining the goals of Complete College America with the action research principles of Achieving the Dream. Because of these efforts, the College is in a stronger position today than it has ever been to serve our students using evidence-based strategies, ultimately resulting in more college-educated citizens in the Tulsa area.     

Social Media,Higher Education,and Community Colleges: A Research Synthesis and Implications for the Study of Two-Year Institutions

This research project used a large database to examine factors associated with full-time faculty at 2-year institutions who have secured or not secured external funds. Specifically, the research examined demographic characteristics and other variables of faculty at 2-year institutions.     

The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models

As part of developing a comprehensive strategy for structural equation model building and assessment, a large‐scale Monte Carlo study of 7,200 covariance matrices sampled from 36 population models was conducted. This study compared maximum likelihood with the much simpler centroid method for the confirmatory factor analysis of multiple‐indicator measurement models. Surprisingly, the contribution of maximum likelihood to model analysis is limited to formal evaluation of the model. No statistically discernible differences were obtained for the bias, standard errors, or mean squared error (MSE) of the estimated factor correlations, and empirically obtained maximum likelihood standard errors for the pattern coefficients were only slightly smaller than their centroid counterparts. Further supporting the recommendations of Anderson and Gerbing (1982), the considerably faster centroid method may have a useful role in the analysis of these models, particularly for the analysis of large models with 50 or more input variables. These results encourage the further development of a comprehensive research paradigm that exploits the relative strengths of both centroid and maximum likelihood as complementary estimation procedures along an integrated exploratory‐confirmatory continuum of model specification, revision, and formal evaluation.