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441.
Ji Yeh Choi Heungsun Hwang 《The British journal of mathematical and statistical psychology》2020,73(2):347-373
Generalized structured component analysis (GSCA) is a component-based approach to structural equation modelling, which adopts components of observed variables as proxies for latent variables and examines directional relationships among latent and observed variables. GSCA has been extended to deal with a wider range of data types, including discrete, multilevel or intensive longitudinal data, as well as to accommodate a greater variety of complex analyses such as latent moderation analysis, the capturing of cluster-level heterogeneity, and regularized analysis. To date, however, there has been no attempt to generalize the scope of GSCA into the Bayesian framework. In this paper, a novel extension of GSCA, called BGSCA, is proposed that estimates parameters within the Bayesian framework. BGSCA can be more attractive than the original GSCA for various reasons. For example, it can infer the probability distributions of random parameters, account for error variances in the measurement model, provide additional fit measures for model assessment and comparison from the Bayesian perspectives, and incorporate external information on parameters, which may be obtainable from past research, expert opinions, subjective beliefs or knowledge on the parameters. We utilize a Markov chain Monte Carlo method, the Gibbs sampler, to update the posterior distributions for the parameters of BGSCA. We conduct a simulation study to evaluate the performance of BGSCA. We also apply BGSCA to real data to demonstrate its empirical usefulness. 相似文献
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The present experiment investigated to what extent providing participants with a model statement influences the ability of the verifiability approach to detect deception. Participants gave a true and false statement about a negative autobiographical event, with half of the participants receiving a detailed model statement just before giving their statement. We expected false statements to include more nonverifiable and less verifiable details than true statements and that providing a model statement would increase these differences. False statements indeed included more nonverifiable details than truthful statements but did not differ in the number of verifiable details. True statements included a higher ratio of verifiable details. The model statement encouraged participants to give a longer and more detailed statement. However, it prompted participants to increase the number of included verifiable—and not nonverifiable—details, regardless of veracity. Using a model statement did not influence the discriminability of the verifiability approach. 相似文献
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Ren Liu Haiyan Liu 《The British journal of mathematical and statistical psychology》2021,74(2):257-285
This study proposes and evaluates a diagnostic classification model framework for multiple-choice items. Models in the proposed framework have a two-level nested structure which allows for binary scoring (for correctness) and polytomous scoring (for distractors) at the same time. One advantage of these models is that they can provide distractor information while maintaining the statistical properties of the correct response option. We evaluated parameter recovery through a simulation study using Hamiltonian Monte Carlo algorithms in Stan. We also discussed three approaches to implementing the proposed modelling framework for different purposes and testing scenarios. We illustrated those approaches and compared them with a binary model and a traditional nominal model through an operational study. 相似文献
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Markus Quirin Michael D. Robinson John F. Rauthmann Julius Kuhl Stephen J. Read Mattie Tops Colin G. DeYoung 《欧洲人格杂志》2020,34(6):947-968
Over the last few decades, most personality psychology research has been focused on assessing personality via scores on a few broad traits and investigating how these scores predict various behaviours and outcomes. This approach does not seek to explain the causal mechanisms underlying human personality and thus falls short of explaining the proximal sources of traits as well as the variation of individuals' behaviour over time and across situations. On the basis of the commonalities shared by influential process-oriented personality theories and models, we describe a general dynamics of personality approach (DPA). The DPA relies heavily on theoretical principles applicable to complex adaptive systems that self-regulate via feedback mechanisms, and it parses the sources of personality in terms of various psychological functions relevant in different phases of self-regulation. Thus, we consider personality to be rooted in individual differences in various cognitive, emotional–motivational, and volitional functions, as well as their causal interactions. In this article, we lay out 20 tenets for the DPA that may serve as a guideline for integrative research in personality science. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology 相似文献
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ObjectiveThe aim was to compare the effect of a Physical Education (PE)-based fitness teaching unit to improve cardiorespiratory fitness levels between students’ motivational profiles toward PE in high-school students using cluster analysis.MethodOne hundred and eighty-one high school students (final sample 165, 52.1% females; Mage = 12.9 ± 0.9) from nine pre-established classes were cluster-randomly assigned into an experimental group (n = 120) and control group (n = 61). The experimental group performed a fitness teaching unit twice a week for nine weeks. Students’ baseline of self-determined motivation toward PE was measured by the Spanish version of the Perceived Locus of Causality-II Scale. Cardiorespiratory fitness was measured before and after the intervention through the 20-m shuttle run test.ResultsBased on a two-stage cluster analysis approach, four clusters were identified in both groups. Results showed that the experimental group students within the high self-determined motivational profiles toward PE (i.e., clusters 2 and 4) statistically significantly improved their cardiorespiratory fitness levels compared with the control group students in cluster 2 (i.e., those with moderate self-determined motivational profile toward PE) (p < 0.05; d = 0.37–0.48). However, statistically significant differences between the students with a moderate autonomous motivation profile toward PE (i.e., cluster 3 of the experimental group) and the control group students in clusters 2 and 3 were not found (p > 0.05). Conclusions: With the objective of increasing all students’ cardiorespiratory fitness levels, PE teachers should encourage students’ motivation toward PE applying specific motivational strategies during PE lessons. 相似文献
450.
Research shows that extraversion is unrelated to performance approach goal orientation, both at the trait- and the state-level. However, since previous studies have either focused on the trait- or the state-level, such a conclusion may be premature. Building upon the idea that acting against one’s trait consumes self-control resources, we reason that within-person deviations from one’s level of trait extraversion might negatively relate to performance approach goal orientation. Using experience sampling data from 47 employees across 10 days (N = 307), we found that deviations from one’s trait extraversion levels are associated with lower levels of performance approach goal orientation. These findings suggest that an integrative approach to personality allows to better understanding of the relationship between extraversion and performance approach goal orientation. 相似文献