THE BENEFITS OF SUMMER BRIDGE PROGRAMS FOR UNDERREPRESENTED AND LOW‐INCOME TRANSFER STUDENTS

University summer bridge programs or transitional programs for low‐income and minority transfer students are becoming an established part of the effort to recruit, retain, and graduate a population of students underrepresented in higher education. The purpose of this study was to determine the effects of a summer bridge program on the academic, personal, and social development of underrepresented and low‐income transfer students during their first year at the University of California, Los Angeles (UCLA). The 1988 entering cohort of Transfer Summer Program (TSP) students was tracked through their first two quarters at UCLA, collecting both attitudinal and academic data.

The results of the study clearly suggest that summer bridge programs for underrepresented and low‐income students can help facilitate their transition and adjustment to university life and improve their academic performance and persistence rates. This is accomplished by increasing transfer students' control over their academic future by preparing them to effectively participate in a classroom, to assess their academic abilities, and by introducing them to campus services and encouraging the utilization of these services.     

Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models

Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional z test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a simulation was conducted to evaluate these alternative methods in a more complex path model with multiple mediators and indirect paths with 2 and 3 paths. Methods for testing contrasts of 2 effects were evaluated also. The simulation included 1 exogenous independent variable, 3 mediators and 2 outcomes and varied sample size, number of paths in the mediated effects, test used to evaluate effects, effect sizes for each path, and the value of the contrast. Confidence intervals were used to evaluate the power and Type I error rate of each method, and were examined for coverage and bias. The bias-corrected bootstrap had the least biased confidence intervals, greatest power to detect nonzero effects and contrasts, and the most accurate overall Type I error. All tests had less power to detect 3-path effects and more inaccurate Type I error compared to 2-path effects. Confidence intervals were biased for mediated effects, as found in previous studies. Results for contrasts did not vary greatly by test, although resampling approaches had somewhat greater power and might be preferable because of ease of use and flexibility.     

The Basic Psychological Needs in Exercise Scale: Measurement Invariance Over Gender

This study examined the extent of measurement invariance of the Basic Psychological Needs in Exercise Scale responses (BPNES; Vlachopoulos & Michailidou, 2006) across male (n = 716) and female (n = 1,147) exercise participants. BPNES responses from exercise participants attending private fitness centers (n = 1,012) and community exercise programs (n = 851) were used. The 3-factor BPNES confirmatory factor analysis model, discriminant validity, and scale reliability were supported for both male and female participants separately. The multisample models supported the configural invariance, partial metric invariance, partial measurement error invariance, and partial scalar invariance of the BPNES responses across gender. Both male and female participants attached the same meaning to the constructs assessed by the BPNES items. The BPNES score invariance properties support tests of the needs universality hypothesis offered by self-determination theory across gender in exercise and meaningful comparison of the autonomy, competence, and relatedness construct latent means across gender.     

Growth Mixture Models Outperform Simpler Clustering Algorithms When Detecting Longitudinal Heterogeneity,Even With Small Sample Sizes

The expansion in the number of people entering higher education has resulted in a substantial increase in the proportion of students enrolling in nontraditional modes, such as part-time study. This study examined the question of whether part-time study curtails the development of the types of intellectual capabilities needed for a knowledge-based economy, because the students would have markedly less exposure to a stimulating campus environment than their full-time counterparts. Graduates from discrete full- and part-time programs from 1 university in Hong Kong completed a survey seeking perceptions of the nurturing of a range of capabilities, together with measures of teacher-student relationships and type of teaching experienced. Two hypotheses were tested by structural equation modeling: (a) the same mechanism for capability development operated for full- and part-time modes and (b) the principal element of the mechanism was the nature of teaching and the quality of teacher-student interaction. Hypothesis 1 was supported because configural invariance between hypothesized models for capability development between the 2 modes was found. Hypothesis 2 was also supported because the models showed that the principal influence on capability development came from teaching for understanding, through promoting active learning experiences and the degree and quality of teacher-student interaction.     

Technology User Groups and Early Childhood Education: A Preliminary Study

This article presents a preliminary examination of the potential of Technology User Groups as a professional development venue for early childhood education professionals in developing operational and functional competence in using hardware and software components of a Technology toolkit. Technology user groups are composed of varying numbers of participants having an interest in technology, and are led by one or more skilled facilitators who meet with participants across time to help them acquire and demonstrate new technology skill sets. A series of these groups were conducted with seven early education professionals serving young preschool children who were at risk or who had disabilities. The impact of these technology user groups was examined using self-reports subsequent to individual participation. Specific data were collected regarding the types of technologies that had been used, and the types of classroom instructional products that had been created and implemented in classrooms using the technologies. A discussion of the value of technology user groups is presented.     

Assessments of Student–Teacher Relationships in Residential Treatment Center Schools

Students in residential treatment center (RTC) schools are likely to have histories of extreme or ongoing relational trauma (e.g., abuse and neglect by primary caregivers), have substantial interpersonal and relationship problems, and exhibit many high-risk behaviors. Accordingly, these students may have particular difficulty forming positive relationships with teachers, yet student–teacher relationship quality in RTC schools has not been empirically studied. This study examines links between RTC school students' assessments of their relationships with teachers and their perceptions of self and others. Participants were 113 students in 2 RTC schools from 5th to 12th grade. Results indicate that male and female RTC students' positive perceptions (of self and others) are linked to positive assessments of their relationships with teachers. However, for girls in RTC schools, negative perceptions of self are linked to less positive assessments of the teacher–student relationship. Implications are discussed.