Angular induction is modulated by the orientation of the test segment but not its length

Angular induction is the basic process by which the orientation of line segments can affect the perceived orientation of other segments as well as their alignment. In this laboratory, we have found that the effect on alignment follows approximately linear rules, with the inducing segment having its greatest influence when its orientation is near to that of the segment being judged. Other laboratories, however, have reported peak effects when the relative angle between the two is at 45°, and with the inducing segment being aligned with one of the cardinal axes of the observer. It has been said that the length of the test segment being judged is a critical factor, but the first experiment of the present study shows a similar linear decline of induction strength irrespective of test segment length. The second experiment indicates that the orientation of the test segment relative to the observer modulates the induction to determine the location of peak effects. A two-factor linear model predicts the observed pattern of results.     

Programmed instruction: What it is and how to do it

Five behaviorological features of programmed instruction are outlined: behavioral objectives, reinforcement, activity rate: high and relevant, successive approximation, and mastery progression. Each of these topics is explained, and examples are given to illustrate the differences between programmed instruction and the more common transmission model of teaching. A final section provides suggestions on specific techniques of successive approximation.     

do specific holland types prefer specific types of counseling approaches? an exploratory study

The authors examined the degree of congruency found in a sample of 61 college students between a preference for a specific counseling orientation, measured using the Counseling Orientation Scale (COS; L. C. Loesch & R. J. McDavis, 1978), and a dominant Holland type, measured using the Self‐Directed Search (SDS; J. L. Holland, 1994). Results revealed a moderate degree of congruency between the 2 scores. Implications of the findings for counselors are discussed.     

The effects of college major and job field congruence on job satisfaction

This study investigated predictors of job satisfaction and builds on previous research on the effects of bachelor’s degree majors and job field congruence on job satisfaction. Data on workers’ job experiences in 2001 were matched to those workers’ college experiences across 30 institutions and background characteristics up to 25 years earlier. With statistical controls for demographic, socioeconomic, and academic characteristics, a final sample of 2515 college graduates was used to test hypotheses centered on the possibility that a causal order relates education and job satisfaction. Specifically, college degree majors, measures of both actual and perceived congruence, as well as income were examined in relation to three dimensions of job satisfaction. Results support hypotheses that income and congruence both mediate the effects of majors on job satisfaction, and identify that two different measures of congruence are causally related to intrinsic dimensions of job satisfaction.     

Trade-offs in detecting letters and comprehending text.

Critics of the letter detection task have questioned whether findings from that paradigm reflect normal reading processes. The present study addresses these questions using a new computerized version of the letter detection task in which reading rate along with letter detection and comprehension accuracy are examined. Previous letter detection findings were replicated with this new computerized task. Different conditions were compared in which detection and comprehension instructions were manipulated as well as the salience of the target letters. The requirement to comprehend had small effects on letter detection accuracy and reading rate, and letter detection only modestly reduced comprehension. Thus, the procedures developed in this study permit examination of the component processes contributing to performance in the letter detection task.     

When Do Comprehender Groups Differ? A Moment-by-Moment Analysis of Think-Aloud Protocols of Good and Poor Comprehenders

The purpose of this study was to examine moment-by-moment fluctuations in text comprehension processing and determine how and when poor and good comprehenders differ. To do so, we reanalyzed a dataset of think-aloud protocols from 138 intermediate elementary students. Both good and poor comprehenders used a variety of processing strategies when reading text; however, good comprehenders were more strategic in which processes they used than were poor comprehenders. Patterns of two types of poor comprehenders were also analyzed: paraphrasers and lateral connectors. The results indicate that these different reader types not only vary in aggregate but also moment-by-moment processing.     

Introduction

This introduction presents the extension of Freud's instinct theory via Kohut's theory of narcissism and the self to an application of the combined theories to the political group violence racking the world scene.     

Wavelet modelling of collinearity judgment error

Prior research has found that participants manifest complex profiles of error when they are asked to judge collinearity of stimulus elements. These studies used harmonic analysis to model the data, and found large departures from accurate collinear judgments, with the amplitude and specific angular position of departures from valid judgment varying from one participant to the next. The models appeared to be a composite of many large‐, medium‐ and small‐scale departures, but this could not be established with any certainty because of the global nature of harmonic model components. Wavelet modelling is better suited to answer the question of whether the error profile is produced by independent sources that vary in size and location. Here, we examined judgments of collinearity of dot pairs across 360° of angular position. A priori and post hoc wavelet modelling strategies were used to identify independent sources of error that could not be attributed to chance, and some new statistical protocols were applied. We found evidence of error sources at several levels of scale, and these results were confirmed by the application of cross‐validation methods that make no assumption about the nature of the error probability distribution.