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641.
An empirical measurement model for interest inventory construction uses internal criteria whereas an inductive measurement model uses external criteria. The empirical and inductive measurement models are compared and contrasted and then two models are assessed through tests of the effectiveness and economy of scales for the Medical Specialty Preference Inventory (Zimney, 1979). The empirical results clearly demonstrate the advantages of using an empirical model for occupational interest inventory construction, whether alone or in conjunction with an inductive model. Furthermore, the results indicated that the empirical model may be used to resolve the long-standing problems in constructing predictive inventories for specialty choice within an occupation.  相似文献   
642.
The purpose of this article is to discuss curriculum-based measurement (CBM) as it is currently utilized in research and practice and to propose a new approach for developing measures to monitor the academic progress of students longitudinally. To accomplish this, we first describe CBM and provide several exemplars of CBM in reading and mathematics. Then, we present the research context for developing a set of seven curriculum-based measures for monitoring student progress in math problem solving. The rationale for and advantages of using statistical equating methodology are discussed. Details of the methodology as it was applied to the development of these math problem solving measures are provided.  相似文献   
643.
    
Our understanding of how bystanders respond to hate speech is limited. This may be due, in part, to the lack of available measurement tools. However, understanding adolescents’ responses to hate speech is critical because this kind of research can support schools in empowering students to exhibit courageous moral behavior. Thus, the purpose of the present study was to investigate the psychometric properties of the newly developed Multidimensional Bystander Responses to Hate Speech Scale (MBRHS) and to explore demographic differences and correlates of bystander behavior in school hate speech. The sample consisted of 3225 seventh to ninth graders from Germany and Switzerland. Exploratory and confirmatory factor analyses supported a model with seven factors. We found that adolescents with immigrant background and boys showed particularly unfavorable response patterns. In addition, our study suggests that empathy is positively correlated with the factors comforting the victim, seeking help at school, and countering hate speech but negatively correlated with helplessness, revenge, reinforcing, and ignoring. Moral disengagement showed the opposite correlational pattern. The findings indicate that the MBRHS is a psychometrically valid and reliable measure that could aid in measuring varied responses to hate speech. In addition, this work highlights the relevance of empathy and moral engagement training in anti-hate speech prevention programs.  相似文献   
644.
    
Theory and evidence suggest that attitudes toward violence are relevant for the explanation, prediction, and reduction of violent behavior. The purpose of the present study was to adapt a measure of violent attitudes—the Evaluation of Violence Questionnaire (EVQ)—for use in Portugal, test the cross-country equivalence, and test the validity of both versions. We found the expected one-factor structure, high internal consistency, and cross-country measurement invariance for the Portuguese and original EVQ with men in Portugal (N = 320) and Canada (N = 298). We also found the expected pattern of correlations with measures of more versus less theoretically relevant constructs: both versions of the EVQ showed the strongest correlations with overall aggression and reactive aggression; slightly lower correlations with proactive aggression; negative correlations with self-control; and the smallest correlations with self-esteem. Our results support the equivalence, reliability, and validity of the Portuguese and original versions of the EVQ.  相似文献   
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646.
    
When developing and evaluating psychometric measures, a key concern is to ensure that they accurately capture individual differences on the intended construct across the entire population of interest. Inaccurate assessments of individual differences can occur when responses to some items reflect not only the intended construct but also construct-irrelevant characteristics, like a person's race or sex. Unaccounted for, this item bias can lead to apparent differences on the scores that do not reflect true differences, invalidating comparisons between people with different backgrounds. Accordingly, empirically identifying which items manifest bias through the evaluation of differential item functioning (DIF) has been a longstanding focus of much psychometric research. The majority of this work has focused on evaluating DIF across two (or a few) groups. Modern conceptualizations of identity, however, emphasize its multi-determined and intersectional nature, with some aspects better represented as dimensional than categorical. Fortunately, many model-based approaches to modelling DIF now exist that allow for simultaneous evaluation of multiple background variables, including both continuous and categorical variables, and potential interactions among background variables. This paper provides a comparative, integrative review of these new approaches to modelling DIF and clarifies both the opportunities and challenges associated with their application in psychometric research.  相似文献   
647.
    
Organizational and validation researchers often work with data that has been subjected to selection on the predictor and attrition on the criterion. These researchers often use the data observed under these conditions to estimate either the predictor or criterion's restricted population means. We show that the restricted means due to direct or indirect selection are a function of the population means plus the selection ratios. Thus, any difference between selected mean groups reflects the population difference plus the selection ratio difference. When there is also attrition on the criterion, the estimation of group differences becomes even more complicated. The effect of selection and attrition induces measurement bias when estimating the restricted population mean of either the predictor or criterion. A sample mean observed under selection and attrition does not estimate either the population mean or the restricted population mean. We propose several procedures under normality that yield unbiased estimates of the mean. The procedures focus on correcting the effects of selection and attrition. Each procedure was evaluated with a Monte Carlo simulation to ascertain its strengths and weaknesses. Given appropriate sample size and conditions, we show that these procedures yield unbiased estimators of the restricted and unrestricted population means for both predictor and criterion. We also show how our findings have implications for replicating selected group differences.  相似文献   
648.
    
Women in midlife (ages 40–60) with elevated risk for cardiovascular disease (CVD) often rely on social networks during times of high stress. Precautions against the spread of COVID-19—particularly stay-at-home-orders—could have limited positive social experiences during a stressful time, but also could have reduced unwanted negative social experiences. This report presents findings from an ecological momentary assessment study that used 3 bursts of 5 surveys per day for 5 days, to test for changes in women's social experiences: prior to COVID-19 (2019), during stay-at-home-orders (April-May 2020), and during initial reopening (August-September 2020). Participants were women aged 40–60 with one or more CVD risk factors (e.g., hypertension; N = 35, MAge = 51, MBMI = 32.2 kg/m2). Momentary reports showed that the number of positive interactions experienced in daily life did not significantly change from before to during the pandemic; positive interactions were more variable during stay-at-home orders than pre-COVID, but rebounded by initial reopening (to pre-COVID levels). In contrast, the number of negative social interactions and social comparisons decreased from before COVID to stay-at-home orders, and remained lower during initial reopening; these experiences were also less variable during stay-at-home orders and initial reopening than before COVID-19. Thus, in a vulnerable group of women with health risks, there is little evidence that social experiences worsened during the first 6 months of the COVID-19 pandemic; decreases in (potentially) negative social experiences may be a small but beneficial side effect of short-term public health precautions.  相似文献   
649.
650.
    
Estimating psychological constructs from natural language has the potential to expand the reach and applicability of personality science. Research on the Big Five has produced methods to reliably assess personality traits from text, but the development of comparable tools for personal values is still in the early stages. Based on the Schwartz theory of basic human values, we developed a dictionary for the automatic assessment of references to personal values in text. To refine and validate the dictionary, we used Facebook updates, blog posts, essays, and book chapters authored by over 180 000 individuals. The results show high reliability for the dictionary and a pattern of correlations between the value types in line with the circumplex structure. We found small to moderate (rs = .1–.4) but consistent correlations between dictionary scores and self-reported scores for 7 out of 10 values. Correlations between the dictionary scores and age, gender, and political orientation of the author and scores for other established dictionaries mostly followed theoretical predictions. The Personal Values Dictionary can be used to assess references to value orientations in textual data, such as tweets, blog posts, or status updates, and will stimulate further research in methods to assess human basic values from text.  相似文献   
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