Does adviser mentoring add value? A longitudinal study of mentoring and doctoral student outcomes

This study of the impact of doctoral adviser mentoring on student outcomes was undertaken in response to earlier research that found (a) students with greater incoming potential received more adviser mentoring, and (b) adviser mentoring did not significantly contribute to important student outcomes, including research productivity [Green, S. G., and Bauer, T. N. (1995). Personnel Psychology 48(3): 537–561]. In this longitudinal study spanning 5 1/2 years, the effect of mentorship on the research productivity, career commitment, and self-efficacy of Ph.D. students in the ‘hard’ sciences was assessed, while controlling for indicators of ability and attitudes at program entry. Positive benefits of mentoring were found for subsequent productivity and self-efficacy. Mentoring was not significantly associated with commitment to a research career.     

Incorporating Uncertainty Into Parallel Analysis for Choosing the Number of Factors via Bayesian Methods

A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and low factor loadings). Because of this, researchers have recommended using multiple methods to make judgments about the number of factors to extract. Implicit in this recommendation is that, when the number of factors is chosen based on PA, uncertainty nevertheless exists. We propose a Bayesian parallel analysis (B-PA) method to incorporate the uncertainty with decisions about the number of factors. B-PA yields a probability distribution for the various possible numbers of factors. We implement and compare B-PA with a frequentist approach, revised parallel analysis (R-PA), in the contexts of real and simulated data. Results show that B-PA provides relevant information regarding the uncertainty in determining the number of factors, particularly under conditions with small sample sizes, low factor loadings, and less distinguishable factors. Even if the indicated number of factors with the highest probability is incorrect, B-PA can show a sizable probability of retaining the correct number of factors. Interestingly, when the mode of the distribution of the probabilities associated with different numbers of factors was treated as the number of factors to retain, B-PA was somewhat more accurate than R-PA in a majority of the conditions.     

Loglinear analysis of cross-classified ordinal data: applications in developmental research

This article provides an introduction to loglinear analysis of cross-classification tables, including tables with nominal and ordinal variables. Loglinear models offer several advantages over the more commonly used chi-square test of independence, including the ability to analyze 3-, 4-, and higher-way interactions, the ability to determine whether the association between variables is linear or nonlinear, and the ability to interpret scale scores assigned to categories of an ordinal variable. After a review of the advantages of loglinear modeling, the chi-square test of independence is compared with the loglinear model of independence. This comparison serves to introduce the notation and terminology of loglinear modeling. The overall strategy of loglinear modeling is introduced next; then special loglinear models for ordinal data are reviewed. Each model discussed in the article is applied to data from the developmental literature.     

Time and response matching with topographically different responses

Four pigeons were exposed to several nonindependent concurrent variable-interval schedules of reinforcement. One schedule component required a keypecking response; the other component required a treadlepressing response. The birds matched the ratio of their behavior (as measured by responses and time) between the two topographically different responses to the ratio of reinforcement in those two components. When additional foods not contingent on a keypeck or treadle-press were then added, the birds matched time spent in the components to total rates of food delivered in those components; response matching was somewhat disrupted. The matching law, developed under concurrent variable-interval schedules requiring similar responses, can thus account for choice behavior involving topographically different responses.     

The development of a hypertext-based tutor for Geographical Information Systems

Experience gained in the construction of the world's first Geographical Information Systems tutor, ARCDEMO, emphasised the importance of accommodating different learning strategies. ARCDEMO, while highly successful, suffered from static graphical displays, a single pre-determined access path, and an overall design which restricted its scope in use. The Geographical Information System Tutor (GIST) was developed to address these problems using Apple's object-orientated HyperCard software. GIST incorporates a 'point-and-click' interface with graphical cues to initiate operations which include animated demonstrations, step-by-step illustrative graphics and graphical displays capable of user modification. The system was designed with two alternative access modes, serial or browsing , to allow different classes of user to work through the material in their preferred fashion. The use of GIST in undergraduate and short course teaching has shown how users respond well to the interface and find graphical explanations easy to follow.     

Matthew effects in writing productivity during second grade

The primary aims of this study were twofold: (a) to describe average change in the written narrative performance of second grade students from the fall and spring of the school year and (b) examine patterns of individual growth to test for Matthew effects. Participants included 299 children in second grade. Microstructural measures were derived from students’ written narratives including: number of different words (NDW), total number of words (TNW), and accuracy of spelling and grammar. Significant increases in NDW, TNW, and spelling accuracy were evidenced from fall to spring. Students averaged 55 total words in the fall and averaged 69 words in the spring, with a statistically significant increase of 14 words t(299)?=?8.4, p?<?.0001). The variance in TNW from fall to spring increased from Var?=?791 to Var?=?1005, which was a significant increase and the correlation of initial Fall TNW and growth in TNW was also significant (r?=?0.39). Additionally, results from a two-level hierarchical linear model with students nested within teachers indicated that initial level of TNW predicted the change in TNW from fall to spring, with higher levels of initial TNW being related to larger gains in TNW. Significant predictors of Matthew effects included teacher or classroom and free/reduced lunch eligibility. Written personal narrative measures are sensitive to developmental change across a school year. Evidence of Matthew effects in lexical productivity suggests additional support may be warranted to ameliorate gaps in writing achievement.

     

Beginning literacy: links among teacher knowledge, teacher practice, and student learning

Although the importance of phonological awareness has been discussed widely in the research literature, the concept is not well understood by many classroom teachers. In the study described here, we worked with groups of kindergarten and first-grade teachers (the experimental group) during a 2-week summer institute and throughout the school year. We shared with them research about learning disabilities and effective instruction, stressing the importance of explicit instruction in phonological and orthographic awareness. We followed the experimental group and a control group into their classrooms for a year, assessing teachers' classroom practices and their students' (n = 779) learning. The study yielded three major findings: We can deepen teachers' own knowledge of the role of phonological and orthographic information in literacy instruction; teachers can use that knowledge to change classroom practice; and changes in teacher knowledge and classroom practice can improve student learning.