大学生创业成功技能的结构维度探索

采用访谈法、问卷评定和因素分析法,考察了大学生创业成功技能的结构维度,并开发了中国情境下大学生创业成功技能的评定工具。研究结果表明：（1）大学生创业成功技能包括两个基本维度六个因素,其中“自我技能”包括自我管理、职业规划和信息选择与应用三个因素,而管理与影响技能包括企业管理与战略、客户管理和人际沟通三个因素;（2）基于二维度六因素模型开发的《大学生创业成功技能调查问卷》包括23个有效评定项目,其结构效度和内部一致性信度达到可接受水平,可以用于大学生创业成功技能的自我评定。     

Evaluating the Sampling Performance of Exploratory and Cross-Validated DETECT Procedure with Imperfect Models

Among the methods proposed for identifying the number of latent traits in multidimensional IRT models, DETECT has attracted the attention of both methodologists and applied researchers as a nonparametric counterpart to other procedures. The current study investigated the overall performance of the DETECT procedure and its outcomes using a real-data sampling design recommended by MacCallum (2003 MacCallum, R.C. (2003). Working with imperfect models. Multivariate Behavioral Research, 38 (1), 113–139. http://dx.doi.org/10.1207/S15327906MBR3801_5[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and compared the results from a purely simulated data set that was generated with a well-specified “perfect” model. The comparison revealed that the sampling behavior of the maximized DETECT value and R-ratio statistics was quite robust to minor factors and other model misspecifications that potentially exist in the real data set, as there were negligible differences between the results of the real and simulated data sets. Item classification accuracy was also nearly identical for the real and simulated data sets. The accuracy of the identified number of dimensions reported by DETECT was the only outcome with an obvious difference between the purely simulated data set and the real data set. While the difference was small for smaller sample sizes, the identified number of dimensions was more accurate for larger sample sizes when the population data set was purely simulated. In many instances, exploratory DETECT analysis outperformed the cross-validated DETECT analysis in terms of overall accuracy.     

观察式学习条件下类别维度与家族相似性类别学习

在观察式学习条件下考察类别维度数量（三维度类别、六维度类别、九维度类别）,类别维度结构（线性分离结构、非线性分离结构）的变化对家族相似性类别学习的影响。结果表明：观察式学习条件下,类别维度数量的变化对样例学习无影响,对特征学习有影响,表现在特征正确再认数量上有差异,但特征再认正确率上无差异;类别维度结构的变化对样例学习有影响,对特征学习无影响,表现在样例正确再认数目上线性结构大于非线性结构。     

Some small sample results for maximum likelihood estimation in multidimensional scaling

Some aspects of the small sample behavior of maximum likelihood estimates in multidimensional scaling are investigated by Monte Carlo. An investigation of Model M2 in the MULTISCALE program package shows that the chi-square test of dimensionality requires a correction of tabled chi-square values to be unbiased. A formula for this correction in the case of two dimensions is estimated. The power of the test of dimensionality is acceptable with as few as two replications for 15 stimuli and as few as five replications for 10 stimuli. The biases in the exponent and standard error estimates in this model are also investigated.The research reported here was supported by grant number APA 320 to the author by the National Science and Engineering Research Council of Canada.     

Psychological Reactance: Factor Structure and Internal Consistency of the Questionnaire for the Measurement of Psychological Reactance

Abstract

Psychological reactance, the theory that people resist attempts to constrain either their thoughts or their behaviors (J. W. Brehm, 1966), has been an influential concept in social psychology. In an attempt to measure reactance, J. Merz (1983) developed the Questionnaire for the Measurement of Psychological Reactance (QMPR). Subsequent researchers (S.-M. Hong & R. Ostini, 1989; R. K. Tucker & P. Y. Byers, 1987) have debated both the exact factor structure and the psychometric stability of the QMPR. In the present study, 898 undergraduates completed the QMPR. Factor analysis suggested that psychological reactance is multidimensional. The authors found 3 factors underlying the QMPR, but the QMPR provided unreliable estimates for each of those factors. According to the results, the QMPR as currently written is psychometrically unsatisfactory.     

Do optimism and pessimism have different relationships with personality dimensions? A re-examination

The classic, well-cited study by Marshall et al. (1992) demonstrated that optimism correlates stronger with extraversion than does pessimism and pessimism correlates stronger with neuroticism than does optimism, and these results lent support to their claim that optimism and pessimism are two separate constructs. However, we argued that their results are likely the outcome of scale artefact caused by item valence (or item favorability). In an empirical study (N = 1016), we evaluated the correlation of optimism scores and pessimism scores with the most common measure of optimism - Life Orientation Test-Revised (LOT-R). As expected, when item valence effect was not controlled, we replicated the finding by Marshall et al. (1992) that optimism and pessimism show differential correlations with extraversion and neuroticism. After item valence was controlled such pattern of relationships was greatly reduced. Suggestions for future research to resolve the dimensionality debate for optimism-pessimism are discussed.     

Structural analysis of 30RO–30Al2O3–40B2O3 ( R = Mg,Ca or Sr) glasses

Bond-compression and ring-deformation models are used to quantitatively analyze the acoustical properties (elastic moduli, Poisson's ratio, Debye temperature and longitudinal attenuation) of 30RO–30Al₂O₃–40B₂O₃ glasses (in wt%), where R?=?Mg, Ca or Sr. The network structure of the glass is quantified in terms of the four-fold coordinated formers, atomic ring size, cross-link density, first-order stretching force constant and bulk modulus. It is found that network strength increases in the order Mg?>?Ca?> Sr. Structural changes of the glasses are deduced by relating the elastic moduli, the ratio of bond compression to experimental bulk modulus and ultrasonic attenuation to structural parameters and oxygen density.     

Reflections on research and learning from the patient: the art and science of what we do

Over three decades ago, John Bowlby argued for psychoanalysis to seek beyond its own parameters if it was to maintain its claim to be a science. Since then there has been a wealth of relevant research from various fields. While this has been instrumental in the development of my own work, this paper concerns learning from the patient. The paper begins with a premise: interpretative analytic work requires three‐dimensionality (self, other and object). Although interpretative work may be ingrained in our professional identity, this triangulation may or may not exist in our patients in any stable way. The paper continues with a brief developmental account of how early archetypally‐shaped shifts in the infant's field of interest establish the experiential components of three‐dimensionality. From there, observational and clinical material with a toddler and a young boy describe how early relational deficits hindered their capacities for three‐dimensionality. Yet both were able to engage with the therapist and to become active in the creation of three‐dimensionality within their own minds. Implied in this work are considerations for working with patients for whom interpretations do not work. Michael Fordham's comments on ‘working out of the self’ are linked with the art of what we do.     

The Structure of Partisan Attitudes: Reexamining Partisan Dimensionality and Ambivalence

The true nature of Americans' party attachments remains an area of enduring controversy. Due to inadequate measures, scholars have argued without resolution as to whether partisanship is unidimensional and bipolar, or rather attitudes towards each party are on separate dimensions. Using more appropriate, psychologically specific, multi-item measures of positive and negative partisan evaluations, however, (1) goes a long way towards settling this problematic debate; and (2) allows for explorations of the heretofore unexamined role of ambivalence in partisanship. I find that partisan attitudes are unidimensional and strongly bipolar and that ambivalence weakens the impact of partisan attitudes in both attitudes and behaviors in predictable ways.     

The effects of type of instruction,animacy cues,and dimensionality of objects on the shape bias in 3‐ to 6‐year‐old children

Robust evidence exists for the shape bias, or children's tendency to extend novel names and categorize objects more readily on the basis of shape than on other object features. However, issues remain about the conditions that affect the shape bias and its importance as a linguistic device. In this research, we examined how type of instruction (common noun naming, proper noun naming, same kind, and goes with), animacy of objects (animate, inanimate), and dimensionality of objects (two‐dimensional, three‐dimensional) affect the shape bias in 3‐ to 6‐year‐old children. Overall, all children showed strong use of the shape bias with categorization (same kind, goes with) instructions, the former in line with the shape‐as‐cue theory. Additionally, the shape bias was quite robust in the inanimate condition, regardless of type of instruction or dimensionality of objects. However, in the animate condition, a proper noun naming instruction coupled with an animate object cue reduced the shape bias across both two‐ and three‐dimensional objects. Implications of these findings are presented.

Highlights

• This study assessed the “shape bias,” a linguistic strategy young children routinely use when confronted with the task of extending a novel name from one object to another.
• Novel name extension and categorization tasks were used in this study.
• Shape bias was affected by the type of instructions, animacy of objects, and dimensionality of objects.