International Journal of Psychology最新文献_第2页

How and why to follow best practices for testing mediation models with missing data. 如何以及为什么要遵循最佳实践来测试有缺失数据的中介模型。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-17 DOI: 10.1002/ijop.13257

Alexander M Schoemann, E Whitney G Moore, Gokhan Yagiz

{"title":"How and why to follow best practices for testing mediation models with missing data.","authors":"Alexander M Schoemann, E Whitney G Moore, Gokhan Yagiz","doi":"10.1002/ijop.13257","DOIUrl":"https://doi.org/10.1002/ijop.13257","url":null,"abstract":"Mediation models are often conducted in psychology to understand mechanisms and processes of change. However, current best practices for handling missing data in mediation models are not always used by researchers. Missing data methods, such as full information maximum likelihood (FIML) and multiple imputation (MI), are best practice methods of handling missing data. However, FIML or MI are rarely used to handle missing data when testing mediation models, instead analyses used listwise deletion methods, the default in popular software. Compared to listwise deletion, the implementation of FIML or MI to handle missing data reduces parameter estimate bias, while maintaining the sample collected to maximise power and generalizability of results. In this tutorial, we review how to implement full-information maximum likelihood and MI using best practice methods of testing the indirect effect. We demonstrate how to implement these methods using both R and JASP, which are both free, open-source software programmes and provide online supplemental materials for these demonstrations. These methods are demonstrated using two example analyses, one using a cross-sectional mediation model and one using a longitudinal mediation model examining how student-athletes reported worry about COVID predicts their perceived stress, which in turn predicts satisfaction with life.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brief online suicide risk assessment of adults does not affect state mood, even in the context of elevated suicidality self-stigma, suicidal ideation and psychological distress 对成年人进行简短的在线自杀风险评估，即使在自杀自我污名、自杀意念和心理困扰升高的情况下，也不会影响其状态情绪。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-13 DOI: 10.1002/ijop.13256

Ben C. Winestone, Glenn A. Melvin, Ruth Tatnell, David J. Hallford

{"title":"Brief online suicide risk assessment of adults does not affect state mood, even in the context of elevated suicidality self-stigma, suicidal ideation and psychological distress","authors":"Ben C. Winestone, Glenn A. Melvin, Ruth Tatnell, David J. Hallford","doi":"10.1002/ijop.13256","DOIUrl":"10.1002/ijop.13256","url":null,"abstract":"The current study aimed to assess whether online suicide risk assessment affects state mood and is the first to examine if suicide-related self-stigma or coping related to suicidal ideation are predictors of mood change. The Australian participants (N = 661, Mage = 34.9, SD = 12.3, 57.1% female), recruited through a crowd-sourcing platform, completed a visual analogue mood measure before and after the Suicidal Ideation Attributes Scale (SIDAS), an assessment tool. Followed by a modified version of the Internalised Stigma Scale, the Brief COPE and DASS-21. State mood did not change from pre- to post-suicide risk assessment in the overall sample, t(662) = −.16, p = .868, d = −.01. Contrary to hypotheses, neither self-stigma nor coping were related to mood change following exposure to the SIDAS. The multiple regression model was not significant, F(9,643) = 1.16, p = .31., nor was any single predictor including gender, current Suicide risk β = −.04, t = −.80 or psychological distress β = −.09, t = −1.76, p = .08. These findings suggest that online exposure to a suicide risk tool is unlikely to be iatrogenic in relation to state mood, even in the context of elevated self-stigma, suicidal ideation and psychological distress.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1347-1352"},"PeriodicalIF":3.3,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijop.13256","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A tutorial on Bayesian structural equation modelling: Principles and applications 贝叶斯结构方程模型教程：原理与应用

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-10 DOI: 10.1002/ijop.13258

Qijin Chen, Kun Su, Yonglin Feng, Lijin Zhang, Ruyi Ding, Junhao Pan

引用次数: 0

Teacher self-efficacy and teaching quality: A three-wave longitudinal investigation 教师自我效能感与教学质量：三波纵向调查。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-10 DOI: 10.1002/ijop.13255

Irena Burić, Krešimir Jakšić, Barbara Balaž

{"title":"Teacher self-efficacy and teaching quality: A three-wave longitudinal investigation","authors":"Irena Burić, Krešimir Jakšić, Barbara Balaž","doi":"10.1002/ijop.13255","DOIUrl":"10.1002/ijop.13255","url":null,"abstract":"Self-efficacy beliefs have cyclical nature as they enhance performance and performance, in turn, influences subsequent self-efficacy beliefs. Likewise, teacher self-efficacy is proposed to shape teaching quality which, in turn, informs future teacher self-efficacy beliefs. To examine these associations, longitudinal studies are needed but are still sparse. Therefore, the present research employed a three-wave longitudinal design to examine the predictive effects of teacher self-efficacy on teaching quality as well as the predictive effects of teaching quality on future teacher self-efficacy by using data from large samples of secondary school teachers (N = 1030) and their students (N = 17,381). Teachers self-reported their efficacy for student engagement, efficacy for instructional strategies and efficacy for classroom management whereas students rated the teaching quality (i.e., cognitive activation, classroom management, and student support) of their teachers. The results of the multilevel structural equation modelling showed that all three dimensions of teacher self-efficacy predicted teaching quality but teaching quality, in turn, predicted only teacher efficacy for student engagement. These results suggest that efforts in raising teacher self-efficacy may show fruitful in raising overall teaching effectiveness.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1317-1325"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An analytical approach for identifying trend-seasonal components and detecting unexpected behaviour in psychological time-series 在心理时间序列中识别趋势-季节成分和检测意外行为的分析方法。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-03 DOI: 10.1002/ijop.13244

Christina Parpoula

{"title":"An analytical approach for identifying trend-seasonal components and detecting unexpected behaviour in psychological time-series","authors":"Christina Parpoula","doi":"10.1002/ijop.13244","DOIUrl":"10.1002/ijop.13244","url":null,"abstract":"The recent advances in technological capabilities have led to a massive production of time-series data and remarkable progress in longitudinal designs and analyses within psychological research. However, implementing time-series analysis can be challenging due to the various characteristics and complexities involved, as well as the need for statistical expertise. This paper introduces a statistical pipeline on time-series analysis for studying the changes in a single process over time at either a population or individual level, both retrospectively and prospectively. This is achieved through systemization and extension of existing modelling and inference techniques. This analytical approach enables practitioners not only to track but also to model and evaluate emerging trends and apparent seasonality. It also allows for the detection of unexpected events, quantifying their deviations from baseline and forecasting future values. Given that other discernible population- and individual-level changes in psychological and behavioural processes have not yet emerged, continued surveillance is warranted. A near real-time monitoring tool of time-series data could guide community psychological responses across multiple ecological levels, making it a valuable resource for field practitioners and psychologists. An empirical study is conducted to illustrate the implementation of the introduced analytical pipeline in practice and to demonstrate its capabilities.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1307-1316"},"PeriodicalIF":3.3,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijop.13244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How to evaluate local fit (residuals) in large structural equation models 如何评估大型结构方程模型的局部拟合度（残差）。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-02 DOI: 10.1002/ijop.13252

Rex B. Kline

{"title":"How to evaluate local fit (residuals) in large structural equation models","authors":"Rex B. Kline","doi":"10.1002/ijop.13252","DOIUrl":"10.1002/ijop.13252","url":null,"abstract":"Consistent with reporting standards for structural equation modelling (SEM), model fit should be evaluated at two different levels, global and local. Global fit concerns the overall or average correspondence between the entire data matrix and the model, given the parameter estimates for the model. Local fit is evaluated at the level of the residuals, or differences between observed and predicted associations for every pair of measured variables in the model. It can happen that models with apparently satisfactory global fit can nevertheless have problematic local fit. This may be especially true for relatively large models with many variables, where serious misspecification is indicated by some larger residuals, but their contribution to global fit is diluted when averaged together with all the other smaller residuals. It can be challenging to evaluate local fit in large models with dozens or even hundreds of variables and corresponding residuals. Thus, the main goal of this tutorial is to offer suggestions about how to efficiently evaluate and describe local fit for large structural equation models. An empirical example is described where all data, syntax and output files are freely available to readers.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1293-1306"},"PeriodicalIF":3.3,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijop.13252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ordinal regression models made easy: A tutorial on parameter interpretation, data simulation and power analysis 简单的序数回归模型：参数解释、数据模拟和功率分析教程。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-10-01 DOI: 10.1002/ijop.13243

Filippo Gambarota, Gianmarco Altoè

{"title":"Ordinal regression models made easy: A tutorial on parameter interpretation, data simulation and power analysis","authors":"Filippo Gambarota, Gianmarco Altoè","doi":"10.1002/ijop.13243","DOIUrl":"10.1002/ijop.13243","url":null,"abstract":"Ordinal data such as Likert items, ratings or generic ordered variables are widespread in psychology. These variables are usually analysed using metric models (e.g., standard linear regression) with important drawbacks in terms of statistical inference (reduced power and increased type-1 error) and prediction. One possible reason for not using ordinal regression models could be difficulty in understanding parameters or conducting a power analysis. The tutorial aims to present ordinal regression models using a simulation-based approach. Firstly, we introduced the general model highlighting crucial components and assumptions. Then, we explained how to interpret parameters for a logit and probit model. Then we proposed two ways for simulating data as a function of predictors showing a 2 × 2 interaction with categorical predictors and the interaction between a numeric and categorical predictor. Finally, we showed an example of power analysis using simulations that can be easily extended to complex models with multiple predictors. The tutorial is supported by a collection of custom R functions developed to simulate and understand ordinal regression models. The code to reproduce the proposed simulation, the custom R functions and additional examples of ordinal regression models can be found on the online Open Science Framework repository (\u0000https://osf.io/93h5j).","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1263-1292"},"PeriodicalIF":3.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijop.13243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of moral disengagement in youth bullying behaviour 道德失范在青少年欺凌行为中的作用。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-09-27 DOI: 10.1002/ijop.13254

Kay Bussey, Aileen Luo, Emma Jackson

{"title":"The role of moral disengagement in youth bullying behaviour","authors":"Kay Bussey, Aileen Luo, Emma Jackson","doi":"10.1002/ijop.13254","DOIUrl":"10.1002/ijop.13254","url":null,"abstract":"Moral disengagement, a term coined by Bandura, explains how people can hurt others and behave immorally, contradicting their beliefs and values and yet live peaceably with themselves. He developed a conceptual model of moral disengagement based on the Social Cognitive Theory of moral agency. By activating moral disengagement mechanisms, people can disregard their moral standards and behave immorally without any self-censure. This paper synthesises the extensive research on moral disengagement in a youth bullying context to demonstrate the conceptual strength of moral disengagement theory for research and interventions on bullying. It advances the understanding of the contextual basis of moral disengagement by examining its diverse role in bullying episodes that includes bullying perpetration, bullying victimisation and bullying bystanders. The analysis of the different components of moral disengagement representing the loci of the disengagement mechanisms sheds light on how the disengagement processes function in the youth bullying context. Its role as both a moderator and mediator further advances its divergent functioning in the youth bullying context. Finally, implications of the review for advancing knowledge on the moral basis of youth bullying are discussed with suggestions for the development of interventions to attenuate the use of moral disengagement.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1254-1262"},"PeriodicalIF":3.3,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijop.13254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142337116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The associations of family atmosphere, religiosity and lifestyle with self-esteem and self-control among Saudi adolescents 沙特青少年的家庭氛围、宗教信仰和生活方式与自尊和自控力的关系。

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-09-27 DOI: 10.1002/ijop.13250

Juliann Saquib, Nazmus Saquib, Amjad Chamsi Basha, Saadi Aljundi, Ahmad Mamoun Rajab, Tawfik Mamoun Rajab, Abdulrahman Almazrou

引用次数: 0

The effect of social anxiety, impulsiveness, self-esteem on non-suicidal self-injury among college students: A conditional process model 社交焦虑、冲动、自尊对大学生非自杀性自伤的影响：条件过程模型

IF 3.3 3区心理学

International Journal of Psychology Pub Date : 2024-09-27 DOI: 10.1002/ijop.13248

Hongyu Zou, Dengfang Tang, Zhangyi Chen, Elly Cheng Wang, Wei Zhang

{"title":"The effect of social anxiety, impulsiveness, self-esteem on non-suicidal self-injury among college students: A conditional process model","authors":"Hongyu Zou, Dengfang Tang, Zhangyi Chen, Elly Cheng Wang, Wei Zhang","doi":"10.1002/ijop.13248","DOIUrl":"10.1002/ijop.13248","url":null,"abstract":"Non-suicidal self-injury (NSSI) is an emerging concern in the field of public health. The objective of this study is to develop a conditional process model to investigate the relationship between social anxiety and NSSI, and the role of impulsiveness and self-esteem in this relationship. A convenience sample of 2717 university students (Mage = 19.81, 22.49% male) from Southern China was recruited. The age range of the participants is between 18 and 25 years. The data were analysed using Spearman correlation analysis, mediation analysis and moderation analysis. The study revealed a positive correlation between social anxiety and NSSI, with impulsiveness serving as a mediating factor in this association. The relationship between social anxiety and NSSI, impulsiveness and social anxiety, impulsiveness and NSSI were all found to be moderated by self-esteem. The prevalence of NSSI among college students exhibited a strong association with social anxiety and impulsiveness. The present investigation additionally demonstrated that there was no significant association between social anxiety, impulsivity and NSSI when high self-esteem was included. This finding implies that self-esteem plays a crucial role in safeguarding against NSSI.","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":"59 6","pages":"1225-1233"},"PeriodicalIF":3.3,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142337115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0