Global self-evaluations and perceived instability of self in early adolescence: A cohort longitudinal study

A cohort longitudinal design with four adjacent cohorts of students ( n = 1689) followed over two years was used to study key issues identified in the research literature on the development of self-evaluations in early adolescence. There was no clear relationship between age/grade and self-evaluations. We found no support for a "stressful periods" hypothesis with respect to self: Possible changes were very gradual and quite small. However, there was a consistent "relative age" effect implying that younger students within a grade had more negative self-evaluations. There were small but consistent sex differences in self-evaluations in favor of the boys; more detailed analyses of very negative self-evaluations suggested that the early adolescent years are the period in which a sex difference in depression related symptomatology begins to emerge. Finally, the usefulness of some kind of effect size measure and advantages and problems associated with a cohort longitudinal design were discussed.     

Implications of college-age narcissism for psychosocial functioning at midlife: Findings from a longitudinal study of women

Positive and negative implications of two types of college-age narcissism on psychosocial functioning at midlife were studied in a longitudinal sample of women. Both types were scored with self-report measures when the women were, on the average, age 21. Throughout the first half of their adult life, high scorers on covert narcissism presented themselves as lacking in confidence and having low morale; high scorers on overt narcissism described themselves as wanting admiration, being independent, and being forceful. Positive outcomes associated with covert narcissism included the development of insight and of a differentiated sense of the self and, in the case of overt narcissism, entailed an involvement in high-status and creative work careers. At midlife, high scorers on covert narcissism experienced negative affect and feelings of being neglected, whereas high scorers on overt narcissism experienced family conflict and problems with impulse control. The personality characteristics associated with both types of narcissism remained stable from the early 20s to early 50s.     

Effects of models and demonstrations of personal narratives on the use of lexical ties by writers with mental retardation

A single subject reversal design was used to investigate the effects of two methods for teaching writing to eight adolescents with mild or moderate mental retardation during a weekly process writing workshop. During each workshop, each student wrote a personal narrative while the teacher circulated among the group and provided positive verbal feedback and spelled words on request. Students' texts were later typed with corrected spelling and punctuation and returned to them with verbal praise before the next writing workshop. During the first experimental condition, the subjects listened to an exemplar text selected by the teacher. In the second phase, the teacher read a narrative she had written as the exemplar text. During the third experimental condition, the teacher orally self-instructed herself through steps in writing a narrative. The subjects' texts were analyzed for number of words written and number and type of lexical ties used to produce cohesion between sentences in a text. The model narrative produced the best gains in the number of words written by the poorer readers, while the demonstration improved the cohesiveness of their texts. The better readers and writers wrote more cohesively during the model narrative and produced longer text during the demonstration condition.     

A note on analyzing ordered alternatives

A general method of devising stepwise multiple testing procedures with fixed experimentwise error is applied to the problem of non-parametric randomized block design with ordered alternatives. In addition, the method is applied to other models with ordered alternatives.The author wishes to thank the referees for helpful suggestions.     

A bayesian approach to confirmatory factor analysis

Confirmatory factor analysis is considered from a Bayesian viewpoint, in which prior information on parameter is incorporated in the analysis. An iterative algorithm is developed to obtain the Bayes estimates. A numerical example based on longitudinal data is presented. A simulation study is designed to compare the Bayesian approach with the maximum likelihood method.Computer facilities were provided by the Computer Services Center, The Chinese University of Hong Kong.     

Probability of directional errors with disordinal (qualitative) interaction

In a factorial design with two or more factors, there is nonzero interaction when the differences among the levels of one factor vary with levels of other factors. The interaction is disordinal or qualitative with respect to a specific factor, sayA, if the difference between at least two levels ofA is positive for some and negative for some levels of the other factors. Using standard methods of analysis, there is a potentially large probability of drawing incorrect conclusions about the signs of differences in the presence of disordinal interaction. The maximum probability of such incorrect conclusions, or directional errors, is derived for two-factor designs in which the factor of interest has two levels and the number of levels of the other factor varies.     

Canonical analysis of longitudinal and repeated measures data with stationary weights

When measuring the same variables on different occasions, two procedures for canonical analysis with stationary compositing weights are developed. The first, SUMCOV, maximizes the sum of the covariances of the canonical variates subject to norming constraints. The second, COLLIN, maximizes the largest root of the covariances of the canonical variates subject to norming constraints. A characterization theorem establishes a model building approach. Both methods are extended to allow for Cohort Sequential Designs. Finally a numerical illustration utilizing Nesselroade and Baltes data is presented.The authors wish to thank John Nesselroade for permitting us to use the data whose analysis we present.     

Peer tutoring among elementary students: educational benefits to the tutor

To determine whether tutoring might be academically beneficial to the tutor, this study investigated the acquisition of spelling words by three elementary students in a peer tutoring program. The experimental design allowed a simultaneous comparison of each child's gain in performance on comparable word lists on which the child tutored another child, was tutored by another child, or neither gave nor received tutoring. The children's spelling improved nearly an equivalent amount on those words on which they tutored another child as on the words on which they were tutored; no such change was noted on the words on which they neither gave nor received tutoring. These findings, that peer tutoring is profitable for the tutor as well as the tutee, provide a basis for recommending peer tutoring as one method of individualizing education.     

A multi-element analysis of the effect of teacher aides in an "open"-style classroom

Open classrooms with few rules, individualized instruction, and informal class organization present new problems for the application of behavior principles. The effects of three types of teacher aides on student achievement and on-task behavior were studied. Each was compared with a standard no-aide condition. Subjects were 54 third graders in two "open"-style classrooms. The three types of aide, helping adult, disciplinary adult, and helping fifth-grade aide, were compared in a multi-element design with a no-aide control. The helping-adult aide significantly affected the academic output of the class, when compared with the no-aide condition. All aide conditions produced more academic work and on-task behavior than did the standard no-aide condition.     

Time-series analysis in operant research

A time-series method is presented, nontechnically, for analysis of data generated in individual-subject operant studies, and is recommended as a supplement to visual analysis of behavior change in reversal or multiple-baseline experiments. The method can be used to identify three kinds of statistically significant behavior change: (a) changes in score levels from one experimental phase to another, (b) reliable upward or downward trends in scores, and (c) changes in trends between phases. The detection of, and reliance on, serial dependency (autocorrelation among temporally adjacent scores) in individual-subject behavioral scores is emphasized. Examples of published data from the operant literature are used to illustrate the time-series method.