Methodological issues in growth‐curve analyses with married couples

Because longitudinal data are increasingly being used to test predictions regarding close relationships, researchers are also increasingly being confronted with methodological issues unique to the analysis of longitudinal data. In this paper, four issues in conducting growth‐curve analyses with married couples are examined: assessing statistical assumptions about homoscedastic and independent errors, handling information about missing data, dealing with couples with only one assessment, and estimating quadratic effects. Each issue is illustrated with actual data, and syntax from the multilevel module in LISREL 8.52 is provided for specific analyses. Guidelines are presented for helping researchers think through each issue with their own data set.     

BIG DATA: NEW SCIENCE,NEW CHALLENGES,NEW DIALOGICAL OPPORTUNITIES

The advent of extremely large data sets, known as “big data,” has been heralded as the instantiation of a new science, requiring a new kind of practitioner: the “data scientist.” This article explores the concept of big data, drawing attention to a number of new issues—not least ethical concerns, and questions surrounding interpretation—which big data sets present. It is observed that the skills required for data scientists are in some respects closer to those traditionally associated with the arts and humanities than to those associated with the natural sciences; and it is urged that big data presents new opportunities for dialogue, especially concerning hermeneutical issues, for theologians and data scientists.     

Women Stay Local, Men Go National and Global? Gender Differences in Political Interest

This study challenges the idea that women are less interested in politics than men by arguing that women are not less interested in politics but, rather, are interested in different issues. I decompose the concept of general political interest into interest in local, national and international issues and investigate gender differences in interest in these different issues, as well as in politics in general. Ordinary Least Squares (OLS) regression analyses, based on data collected in 2011 (British Participation Survey) on a representative sample of British citizens (N?=?1,353), reveal no substantial gender difference in interest in local issues. Once political efficacy is controlled for, however, women are more likely than men to be interested in local issues. Furthermore, women are less likely to be interested in national and international issues, as well as politics in general, than men. Further analyses demonstrate that part of the gap in general political interest may be explained by the fact that interest in politics is primarily understood as interest in national politics, an issue in which men are more likely to be interested than women. In summary, the results highlight the need to clarify the concept of ‘politics’ and to move towards the notion that women and men are interested in different issues, rather than the notion that women are less politically interested than men.     

The current status of competency-based training,part 1: Validity,reliability, logistical,and ethical issues

During recent years considerable attention has been focused on competency-based training. Yet there is a lack of data relating to many key issues. This paper describes some of the key issues concerning four major factors of competency-based training: validity, reliability, logistics, and ethics. Three recommendations made to the Division 16 Education and Training Committee are presented.     

β受体阻滞剂治疗慢性心力衰竭作用机制规律的探讨

β受体阻滞剂作为一种负性肌力药物,其在慢性心力衰竭治疗中的地位于近几十年中发生了戏剧性的改变,由禁忌药转变为指南推荐的重要药.β受体阻滞剂引发了人们对慢性心力衰竭发病机制的重新思考,使人们对疾病及其治疗有了更新更全面的认识,这其中体现了哲学与自然科学间的紧密联系,提示我们运用哲学原理可以指导自然科学的发展.     

Multicultural Training in University Counseling Center Predoctoral Psychology Internship Programs: A Survey

Research indicates that graduate programs in counseling and clinical psychology are beginning to include more courses on multicultural issues. Little data is available, however, concerning the inclusion of training in multicultural issues in predoctoral psychology internship training programs. This study examined the amount and type of such training actually occurring at predoctoral psychology internship training programs in university counseling centers.     

Feminism and Health in the Decade of Behavior

National health data are presented to demonstrate that important issues of women's health are linked to inequality and to the generalized oppression of women. Health issues of violence, reproductive health, coronary health, and mental health are reviewed as they relate to women of color and diverse ethnicity as well as to women in general. Feminist principles are applied to these issues, pointing out inequalities in assessment, treatment and access to care, bias in research and lack of research on topics particularly relevant to women and minorities, and limitations in the education and training of health care providers. It is imperative that these problems, which are not solely biological, be addressed in light of systems-level analysis that includes a feminist lens. Guided by feminist principles and sensibilities, the relevance of behavioral and social science is outlined for research, training, assessment, intervention, evaluation, and overall social change.     

Statistical Issues in the Study of Temporal Data: Daily Experiences

This article reviews statistical issues that arise in temporal data, particularly with respect to daily experience data. Issues related to nonindependence of observations, the nature of data structures, and claims of causality are considered. Through the analysis of data from a single subject, we illustrate concomitant time-series analysis, a general method of examining relationships between two or more series having 50 or more observations. We also discuss detection of and remedies for the problems of trend, cycles, and serial dependency that frequently plague temporal data, and present methods of combining the results of concomitant time series across subjects. Issues that arise in pooling cross-sectional and time-series data and statistical models for addressing these issues are considered for the case in which there are appreciably fewer than 50 observations and a moderate number of subjects. We discuss the possibility of using structural equation modeling to analyze data structures in which there are a large number (e.g., 200) of subjects, but relatively few time points, emphasizing the different causal status of synchronous and lagged effects and the types of models that can be specified for longitudinal data structures. Our conclusion highlights some of the issues raised by temporal data for statistical models, notably the important roles of substantive theory, the question being addressed, the properties of the data, and the assumptions underlying each technique in determining the optimal approach to statistical analysis.     

Testing indirect effect with a complete or incomplete dichotomous mediator

Past methodological research on mediation analysis mainly focused on situations where all variables were complete and continuous. When issues of categorical data occur combined with missing data, more methodological considerations are involved. Specifically, appropriate decisions need to be made on estimation methods of the indirect effects and on confidence intervals for testing the indirect effects with accommodations of missing data. We compare strategies that address these issues based on a model with a dichotomous mediator, aiming to provide guidelines for researchers facing such challenges in practice.     

Ask and You Shall Find Out: Some Multicultural Dynamics in Catholic Theological Education

The theological classroom is a place where dynamics of diversity and multiculturalism enter not only the understanding and interpretation of the course material, but also the very processes of teaching and learning. But how is one to learn and assess what students and professors are experiencing as cultural differences, and how is one to sort out the personal characteristics from the cultural? This essay, underscoring the importance of asking students about cultural issues, discusses a few such issues via some anecdotal data.     

The Challenges of Community Engagement

Lyons and Whelan provide a useful list of recommendations as to how community engagement on nanotechnology could be improved, which very few people working in community engagement could disagree with. However, as the conclusions of any study are dependent on the data obtained, if more data had been obtained and analysed then different conclusions might have been reached. Addressing the key issues in the paper and providing more data, also allows an opportunity to expand on current issues relating to community engagement on nanotechnology and the challenges it provides for practitioners.     

Genetic Counseling in the Era of Genomics: What’s all the Fuss about?

As genomic sequencing becomes more widely available in clinical settings for diagnostic purposes, a number of genetic counseling issues are gaining precedence. The ability to manage these issues will be paramount as genetic and non-genetic healthcare professionals navigate the complexities of using genomic technologies to facilitate diagnosis and inform patient management. Counseling issues arising when counseling for diagnostic genomic sequencing were identified by four genetic counselors with 10 years of collective experience providing genetic counseling in this setting. These issues were discussed and refined at a meeting of genetic counselors working in clinical genomics settings in Melbourne, Australia. Emerging counseling issues, or variations of established counseling issues, were identified from the issues raised. Illustrative cases were selected where pre- and post-test genetic counseling was provided in clinical settings to individuals who received singleton or trio WES with targeted analysis. Counseling issues discussed in this paper include a reappraisal of how genetic counselors manage hope in the genomic era, informed consent for secondary use of genomic data, clinical reanalysis of genomic data, unexpected or unsolicited secondary findings, and trio sequencing. The authors seek to contribute to the evolving understanding of genetic counseling for diagnostic genomic sequencing through considering the applicability of existing genetic counseling competencies to managing emerging counseling issues and discussing genetic counseling practice implications.     

Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology     

Evidence-based treatment of stuttering: III. Evidence-based practice in a clinical setting

At the heart of evidence-based practice in stuttering treatment are four issues: (1) the collection of data to inform treatment; (2) the long standing concern with maintenance of treatment gains; (3) the need to demonstrate accountability to clients, payers and our profession as service providers; and (4) the desire to advance theoretical knowledge. This article addresses the first three of these issues from a practical point of view, illustrating how data collection for stuttering treatment outcome research in a clinical setting is intimately blended with that required for clinical purposes and providing an example of a process of evaluating data for clinical and research purposes. EDUCATIONAL OBJECTIVES: The reader will learn about and be able to (1) differentiate between treatment outcome and treatment efficacy research, (2) describe models for integrating data collection for treatment outcome and clinical purposes, and (3) utilize guidelines for treatment efficacy that are applicable to outcome research to evaluate data for use in treatment outcome studies and to design outcome studies.     

Developmental considerations in the study of childhood depression

Although a great deal of research has been conducted examining biological and psychological factors related to adult depression, relatively little attention has been given to the study of depression in children. The purpose of the present article is to illustrate the importance of considering normal developmental processes in the study of childhood depression. Epidemiological data, diagnostic issues, and methods of assessment in childhood depression are discussed from a developmental perspective, and the role of developmental issues in both the manifestation of depression and its assessment is outlined. Four major theories of depression—biological, psychoanalytic, behavioral, and cognitive—are presented, and developmental issues are discussed in relation to each theory's formulation of the etiology, maintenance, and treatment of depression. Finally, alternative methodologies for the study of childhood depression are considered, and directions for future research, particularly for investigations examining the relationship between childhood and adult depression, are advanced.     

Cultural diversity: Mapping the experiences of students on an international counsellor training programme

This research study explores one part of a diverse counselling training landscape in the shape of an international postgraduate education and training programme for counsellors. The research sample includes participants from Tanzania, the Gambia, Ghana, Nigeria, Indonesia, China, Taiwan, Iceland, Japan, Greece, Portugal, Lebanon and Saudi Arabia. Cultural diversity is examined in relation to the learning and development of international counselling students. Qualitative analysis of interview data is used to identify issues related to student expectations, the process of becoming a counsellor and student learning outcomes. Some issues in counsellor training appear to be shared across all international students, while other issues arise from specific cultural backgrounds of students. The implications of these findings are discussed.     

An overview of issues in infant and developmental research for the creation of robust and replicable science

In the last few years, the field of psychology has been challenged with a crisis in the rigor and reproducibility of the science. The focus of these issues has primarily been in social, cognitive, and cognitive neuroscience psychology, however, the area of developmental research is not immune to these issues. This paper provides an overview of the “replication crisis” and the choices made by researchers that are often not noted in methods, thus making the replication of studies more difficult. In this review we discuss issues of researcher flexibility in the data design and selection of sample size, collection, and analysis stages of research. In each of these areas we address examples of bias and how developmental researchers can address these issues in their own research.     

Cybertherapy or psychobabble? A mixed methods study of online emotional support

ABSTRACT

The provision of online counselling and emotional support is a subject of intense debate among service providers. The subject is explored here by triangulating data from a statistical analysis of data from a children's helpline, interviews with practitioners and a focus group. Despite practitioners' concerns relating to misinterpretation, misrepresentation and the lack of non-verbal cues, online conversations are shown to span a greater variety of topics and focus on more sensitive issues than verbal sessions. Online services have potential for reaching clients in accessible and meaningful ways. However, practitioners need to consider online-specific issues, undertake specialised training and become comfortable with these new communication formats.     

Issues in Data Management

Data management raises a number of issues, both regulatory and non-regulatory. Researchers should understand how data are defined by their particular institutions and regulatory authorities. Data are the bases of scientific communication and provide a strong defense against allegations of scientific misconduct. Authorization is often necessary before collection of data can commence. Proper handling, retention, and storage of data, especially that involving humans, are crucial for the researcher. Data ownership by the institution leads to a responsibility by the institution to educate all its researchers in responsible data management practices.