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Drawing on uncertainty‐identity theory (Hogg, 2012), we explore the effects of uncertainty concerning a specific social identity on group identification and attitudes toward subgroup integration and separation in South Koreans' nested identity context (N = 148). All variables were measured. Path analysis revealed, as predicted, that superordinate identity uncertainty weakened superordinate identification and subgroup identity uncertainty weakened subgroup identification. We also found that subgroup identity uncertainty strengthened superordinate identification. This effect was stronger for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Furthermore, superordinate identity uncertainty decreased reunification intentions by weakening superordinate identification. Subgroup identity uncertainty increased reunification intentions by strengthening superordinate identification only for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Implications for uncertainty identity theory and intergroup relations are discussed.  相似文献   
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Philosophical Studies - In the original publication of the article, the Acknowledgement section was inadvertently not included. The Acknowledgement is given in this Correction.  相似文献   
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The following paper establishes a measurement of social identity uncertainty. Based on uncertainty-identity theory, we propose social identity uncertainty is a unique type of self-uncertainty related to group identification. We further believe social identity uncertainty is comprised of two components: identity-uncertainty (i.e., uncertainty about one’s group identity) and membership-uncertainty (i.e., uncertainty about being a group member). Study 1 (N = 314) and Study 2 (N = 299) explored and confirmed that two subcomponents exist within social identity uncertainty. Study 3 (N = 295) developed convergent validity using various social identity-related constructs, and discriminant validity using dispositional constructs. Overall, we found (a) identity-uncertainty and membership-uncertainty are distinct constructs, and (b) our measurements have both convergent and discriminant validity.  相似文献   
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The allocation of sufficient participants into different experimental groups for various research purposes under given constraints is an important practical problem faced by researchers. We address the problem of sample size determination between two independent groups for unequal and/or unknown variances when both the power and the differential cost are taken into consideration. We apply the well‐known Welch approximate test to derive various sample size allocation ratios by minimizing the total cost or, equivalently, maximizing the statistical power. Two types of hypotheses including superiority/non‐inferiority and equivalence of two means are each considered in the process of sample size planning. A simulation study is carried out and the proposed method is validated in terms of Type I error rate and statistical power. As a result, the simulation study reveals that the proposed sample size formulas are very satisfactory under various variances and sample size allocation ratios. Finally, a flowchart, tables, and figures of several sample size allocations are presented for practical reference.  相似文献   
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When the underlying variances are unknown or/and unequal, using the conventional F test is problematic in the two‐factor hierarchical data structure. Prompted by the approximate test statistics (Welch and Alexander–Govern methods), the authors develop four new heterogeneous test statistics to test factor A and factor B nested within A for the unbalanced fixed‐effect two‐stage nested design under variance heterogeneity. The actual significance levels and statistical power of the test statistics were compared in a simulation study. The results show that the proposed procedures maintain better Type I error rate control and have greater statistical power than those obtained by the conventional F test in various conditions. Therefore, the proposed test statistics are recommended in terms of robustness and easy implementation.  相似文献   
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When planning a study, sample size determination is one of the most important tasks facing the researcher. The size will depend on the purpose of the study, the cost limitations, and the nature of the data. By specifying the standard deviation ratio and/or the sample size ratio, the present study considers the problem of heterogeneous variances and non‐normality for Yuen's two‐group test and develops sample size formulas to minimize the total cost or maximize the power of the test. For a given power, the sample size allocation ratio can be manipulated so that the proposed formulas can minimize the total cost, the total sample size, or the sum of total sample size and total cost. On the other hand, for a given total cost, the optimum sample size allocation ratio can maximize the statistical power of the test. After the sample size is determined, the present simulation applies Yuen's test to the sample generated, and then the procedure is validated in terms of Type I errors and power. Simulation results show that the proposed formulas can control Type I errors and achieve the desired power under the various conditions specified. Finally, the implications for determining sample sizes in experimental studies and future research are discussed.  相似文献   
7.
Philosophical Studies - Public discussions of political and social issues are often characterized by deep and persistent polarization. In social psychology, it’s standard to treat belief...  相似文献   
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The factorial 2 × 2 fixed‐effect ANOVA is a procedure used frequently in scientific research to test mean differences between‐subjects in all of the groups. But if the assumption of homogeneity is violated, the test for the row, column, and the interaction effect might be invalid or less powerful. Therefore, for planning research in the case of unknown and possibly unequal variances, it is worth developing a sample size formula to obtain the desired power. This article suggests a simple formula to determine the sample size for 2 × 2 fixed‐effect ANOVA for heterogeneous variances across groups. We use the approximate Welch t test and consider the variance ratio to derive the formula. The sample size determination requires two‐step iterations but the approximate sample sizes needed for the main effect and the interaction effect can be determined separately with the specified power. The present study also provides an example and a SAS program to facilitate the calculation process.  相似文献   
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When people feel uncertain about their national identity, they may want to emigrate from their nation. This uncertainty can arise when people are exposed to an alternative historical narrative about their own national (ingroup) origins promoted by a neighboring nation (outgroup). Drawing on uncertainty–identity theory we propose that the conditions that promote this process would include when: (a) a revised history threatens the entitativity of national identity, (b) people identify strongly with their nation, (c) a neighboring nation is numerically large enough to transform its own view into a new shared reality, and (d) a new interpretation of history is considered credible. We conducted an experiment in the context of historical disputes between China (outgroup) and Korea (ingroup) (N = 160). We measured Korean identification and manipulated a type of identity threat (valence threat vs. entitativity threat), relative group size (not salient vs. salient), and source credibility (low vs. high). Then, we measured identity–uncertainty and emigration as dependent variables. As predicted, hierarchical regression analyses yielded a significant four‐way interaction on identity–uncertainty. Simple slopes analyses revealed that entitativity (vs. valence) threat significantly increased identity–uncertainty among high identifiers when the outgroup's relative size was salient and its view was credible. Further, the elevated identity–uncertainty strengthened intentions to emigrate from the ingroup. Implications for intergroup communications and identity validation are discussed.  相似文献   
10.
Using the Global Trust Inventory, an integrated measure of trust toward 21 relationships and institutions, the structure of trust was explored in four East Asian societies (Mainland China, Japan, South Korea, and Taiwan). The Western model, in which trust is distributed among seven factors representing different branches of society, did not generalize to these East Asian societies, perhaps due to differences in culture and institutional power structures. Instead, two unique structures of trust were identified. Mainland China had a top‐down structure of trust (the China model), in which trust is hierarchically separated between the central government and subordinate implementing bodies. The other three democratic East Asian societies shared a hybrid structure of trust (the Democratic East Asian model) that has a degree of similarity to both the China model and the Western model. Having established two similar, but still distinct models, a cross‐cultural comparison was made on the proportions of trust profiles generated by latent profile analysis. Mainland China had the largest proportion of people with a high propensity to trust, followed by Japan and South Korea, and Taiwan was the least trusting. Implications of the structure of trust and this alternative approach to conducting cross‐cultural comparisons are discussed.  相似文献   
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