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131.
Research on young people's aspirations and their capacity to aspire to higher education has proliferated in recent decades, however, very little attention has been paid to the creative arts. Diversity in the arts remains a persistent issue in many nations, and repeated attempts to promote diversity in the Australian arts community have had limited impact, suggesting the need for new approaches. Drawing on data from a 4‐year longitudinal study of students from ages 8 to 18 (n = 6,492) in government schools, we examine school students' aspirations for careers in the arts. Arts‐related careers were popular among students, yet we found a distinct lack of diversity among those aspiring to such careers. Using logistic regression analysis we found that being female, high achieving, from an English‐speaking background, possessing high cultural capital, and attending advantaged schools were significant predictors of interest in the arts, suggesting the likely reproduction of existing patterns of participation. We argue that initiatives within schools are essential to disrupting these patterns and building the capacity of a more diverse range of students to aspire to careers in the arts. 相似文献
132.
Mixture analysis of count data has become increasingly popular among researchers of substance use, behavioral analysis, and program evaluation. However, this increase in popularity seems to have occurred along with adoption of some conventions in model specification based on arbitrary heuristics that may impact the validity of results. Findings from a systematic review of recent drug and alcohol publications suggested count variables are often dichotomized or misspecified as continuous normal indicators in mixture analysis. Prior research suggests that misspecifying skewed distributions of continuous indicators in mixture analysis introduces bias, though the consequences of this practice when applied to count indicators has not been studied. The present work describes results from a simulation study examining bias in mixture recovery when count indicators are dichotomized (median split; presence vs. absence), ordinalized, or the distribution is misspecified (continuous normal; incorrect count distribution). All distributional misspecifications and methods of categorizing resulted in greater bias in parameter estimates and recovery of class membership relative to specifying the true distribution, though dichotomization appeared to improve class enumeration accuracy relative to all other specifications. Overall, results demonstrate the importance of accurately modeling count indicators in mixture analysis, as misspecification and categorizing data can distort study outcomes. 相似文献
133.
Kathryn J. Holland Allison E. Cipriano 《American journal of community psychology》2019,64(1-2):203-218
Experiencing military sexual assault (MSA) results in serious mental health consequences. Sexual assault survivors often disclose to informal sources of support, and how these individuals respond can have a significant effect on survivors’ wellbeing. Bystander intervention is one mechanism through which institutions, such as the U.S. Military, aim to teach informal support providers to respond positively and effectively to sexual assaults. One bystander response that survivors may find helpful is the discussion of formal resources (e.g., counseling options, reporting options). The current study examined factors associated with U.S. Service members’ intentions to encourage sexual assault survivors to report and seek mental health counseling, including individual characteristics (rank, gender, personal experience of MSA) and perceptions of military sexual assault response efforts (exposure to sexual assault training, leader response to sexual assault, service barriers). The study also examined contextual factors (branch) and interactions between individual and contextual predictors. We analyzed survey data from 27,505 active duty Service members collected by the U.S. Department of Defense. As expected, rank, gender, experience of MSA, training exposure, leader response, and service barriers were associated with Service members’ intentions to encourage MSA survivors to report and seek‐help. Bystander responses to disclosures can have a significant effect on survivors’ response to the assault, and these findings can help in identifying why bystanders may or may not encourage the use of formal resources after receiving a sexual assault disclosure. 相似文献
134.
Yoko Nomura Kei Davey Patricia M. Pehme Jackie Finik Vivette Glover Wei Zhang Yonglin Huang Jessica Buthmann Kathryn Dana Sachiko Yoshida Kenji J. Tsuchiya Xiao Bo Li Jacob Ham 《Infant mental health journal》2019,40(2):204-216
This study examined the effects of in utero exposure to maternal depression and Superstorm Sandy, a hurricane that hit metropolitan New York in 2012, on infant temperament at 6 months. Temperament was assessed using the Infant Behavior Questionnaire-Revised. Maternal depression was measured by the Edinburgh Postnatal Depression Scale. The main effects and the interaction of maternal depression and Sandy exposure on infant temperament were examined using a multivariable generalized linear model. Results show that prenatal maternal depression was associated with lower emotion regulation and greater distress. Stratification and interaction analyses suggested that the adverse effects of prenatal maternal depression on problematic temperament were amplified by in utero Sandy exposure. This study underscores the importance of providing prenatal screening and treatment for maternal depression during pregnancy while also identifying high-risk families who may have suffered from disaster-related traumas to provide necessary services. As the frequency of natural disasters may increase due to climate change, it is important to understand the consequences of in utero stress on child development and to formulate plans for early identification. 相似文献
135.
Kathryn P. Linthicum Katherine Musacchio Schafer Jessica D. Ribeiro 《Behavioral sciences & the law》2019,37(3):214-222
For decades, our ability to predict suicide has remained at near‐chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an introduction to machine learning and its potential application to open questions in suicide research. Although only a few studies have implemented machine learning for suicide prediction, results to date indicate considerable improvement in accuracy and positive predictive value. Potential barriers to algorithm integration into clinical practice are discussed, as well as attendant ethical issues. Overall, machine learning approaches hold promise for accurate, scalable, and effective suicide risk detection; however, many critical questions and issues remain unexplored. 相似文献
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Kathryn L. Humphreys Lucy S. King Matthew D. Sacchet M. Catalina Camacho Natalie L. Colich Sarah J. Ordaz Tiffany C. Ho Ian H. Gotlib 《Developmental science》2019,22(3)
Exposure to stress has been causally linked to changes in hippocampal volume (HV). Given that the hippocampus undergoes rapid changes in the first years of life, stressful experiences during this period may be particularly important in understanding individual differences in the development of the hippocampus. One hundred seventy‐eight early adolescents (ages 9–13 years; 43% male) were interviewed regarding exposure to and age of onset of experiences of stress; the severity of each stressful event was rated by an objective panel. All participants underwent structural magnetic resonance imaging, from which HVs were automatically segmented. Without considering the age of onset for stressful experiences, there was a small but statistically significant negative association of stress severity with bilateral HV. When considering the age of onset, there was a moderate and significant negative association between stress severity during early childhood (through 5 years of age) and HV; there was no association between stress severity during later childhood (age 6 years and older) and HV. We provide evidence of a sensitive period through 5 years of age for the effects of life stress on HV in adolescence. It will be important in future research to elucidate how reduced HV stemming from early life stress may contribute to stress‐related health outcomes. 相似文献
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Small samples sizes are a pervasive problem when modeling clustered data. In two-level models, this problem has been well studied, and several resources provide guidance for modeling such data. However, a recent review of small-sample clustered data methods has noted that no studies have investigated methods for modeling three-level data with small sample sizes. Furthermore, strategies for two-level models do not necessarily translate to the three-level context. Moreover, three-level models are prone to small samples because the “small sample” designation is primarily based on the sample size of the highest level, and large samples are increasingly difficult to amass as one progresses up a hierarchy. In this study, we focus on the case when the third level is incidental, meaning that the third level is important to consider but there are no explicit research questions at the third level. This study performs a simulation study to examine the performance of seven methods for modeling three-level data with a small sample at the third level. A motivating educational psychology example is also provided to demonstrate how the choice of method can greatly affect results. 相似文献