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Background. G.M. Andreeva set an issue in social psychology that still remains relevant today. It concerns the correlation of two series of patterns in the process of socio-psychological research. These patterns are social development and the development of the human psyche. In this regard, new tasks of intrascientific reflection arise, one of which is the analysis of the methodological problem of integrating qualitative and quantitative methods in socio-psychological research. The idea of integrating two classes of methods is reflected in the systemic approach of B.F. Lomov and remains relevant in the context of the trend towards mixed methods research in social sciences. The need to integrate qualitative and quantitative methods is due to the specifics of social psychology, which is located at the junction of sociology and psychology. Objective. The aim of the article is to identify the features of the integration of qualitative and quantitative approaches in social psychology through the prism of methodological levels. Methods. Theoretical analysis of Russian and foreign works and their systematization based on the levels of methodology. Results. At the level of general methodology, from the standpoint of post-non-classical rationality, the components of scientistic (quantitative) and qualitative methodological approaches are considered. The choice of pragmatism as the philosophical basis of “mixed methods” is justified. At the level of particular methodology, the principles of complementarity and expediency of integration specific to “mixed methods” are disclosed. The set of specific methodological research techniques is presented through options for combining qualitative and quantitative data in interpretation and report. Conclusions. The highlighted specificity of the integration of qualitative and quantitative methods at different levels of methodology outlines the direction for its further elaboration and refinement. It also allows to shift the focus from an intuitive combination of qualitative and quantitative methods to the reflective and conscious application of such a research strategy.

Abstract: The aim of this work was to develop a valid and reliable scale to measure Basic Psychological Need Satisfaction for Technology Use (BPN-TU). According to the self-determination theory, satisfaction of the Basic Psychological Needs (BPNs) for Autonomy, Competence, and Relatedness is crucial to well-being and autonomous motivation. Research into the role of BPN Satisfaction in technology use is scarce, partly due to a lack of appropriate measuring tools. To develop a pool of original BPN-TU scale items, we held 10 interviews. Based on these items, we conducted four validation studies with four independent samples (total N = 821), collecting user responses to different technologies: digital voice assistant, exoskeleton, chatbot, and social robot. Good model fit was supported by confirmatory factor analyses for a twelve-item scale, containing three items each for satisfaction of users’ Autonomy, Competence, Relatedness to Others, and Relatedness to Technology. The scale was validated in English and German.

Recently, there has been an increase in text analysis and natural language processing for both research and applied practice, especially to quantify emotions in language (i.e. sentiment analysis). Building on different theories of how language and emotions interact and how these interactions differ by gender and race/ethnicity, our study assesses for bias in the use of common sentiment analysis tools (e.g. AFINN, NRC). Specifically, we focus on measurement bias and predictive bias between genders and races/ethnicities using a novel real-world dataset of participant interviews in a simulated multi-day team-based competition. There was no evidence of measurement bias by race/ethnicity, but there were some biases by gender; specifically, females tended to express higher mean levels and more variance in emotion. There was no evidence of predictive bias by gender or race/ethnicity, though the latter was marginally significant. We hope this study paves the way towards more inclusive and accurate analytical tools to help researchers reduce demographic biases in their research. These findings also hold importance for organizations in employing equitable tools to better understand the needs of their diverse customers and employees.

Background: Socio-communicative difficulties are a core symptom of autism that deeply impact interaction with others. Despite that, research on bidirectional caregiver-child interaction variables has been notably scant and predominantly focused on autistic children's interactive differences and the consequences on parenting behaviors. Aim: The study aimed to assess parent-child interaction in the context of autism through observational validated instruments that consider qualitative and structural features in a complementary way to obtain a comprehensive characterization of the exchange within the dyad. Methods and procedures: This study involved 56 paired parent-child dyads of 28 autistic children (mean age = 38.60 months, sd = 9.50) playing with their mothers and their fathers for 10 min. The video-recorded sessions were coded through the Emotional Availability Scales (EAS) and the Interpersonal Synchrony (IS) coding system. Outcomes and results: Fathers and mothers do not show significant differences in ISexcept for mother widenings, which are more frequent and successful, and in Emotional Availability. Further, dyads present moderate levels of Emotional Availability, indicating that parents may struggle with structuring, sensitivity, and interactive abilities with their autistic children, which in turn present low levels of responsiveness and involvement. Further, we explored an association between IS and EA characteristics. Conclusion and implications: This study suggests the need for interventions to target interaction considering both caregivers, ultimately targeting both interaction structure and affect features. Research that includes fathers fosters strategies for individualization and treatment optimization.

For sexual minority men (SMM), attachment anxiety and attachment avoidance are evidenced to predict poor mental health (e.g., depression and anxiety). While mindfulness is known to mediate this relationship among the general population, it has yet to be examined among SMM. This study examined the interaction of attachment anxiety and avoidance, and the mediating effect of mindfulness, in predicting symptoms of depression and anxiety among a sample of gay and bisexual men (GBM) in the U.S. We used regression-based path analyses to test the interaction of attachment anxiety and avoidance on symptoms of anxiety and depression. Attachment anxiety and avoidance were positively associated with mental health symptoms. In the model predicting anxiety, we found a significant interaction, indicating that individuals high in attachment anxiety and avoidance had the highest BSI scores. In model 2, direct effects for attachment anxiety and avoidance remained significant, and mindfulness was negatively associated with both mental health symptoms. Significant indirect effects from attachment anxiety and attachment avoidance, through mindfulness, to both depressive and anxiety symptoms were observed. No evidence of mediated moderation was found. Our findings show that attachment is an important predictor of mental health among GBM and support previous research on the mediating role of mindfulness in this association.

Background. The special status of social psychology, due to its emergence at the intersection of sociology and psychology, gives rise to the need to search for new methodological solutions for research problems. Today in psychology there is a tendency to overcome the qualitative-quantitative dichotomy and a growing interest in “mixed” methods of research. In this regard, it is relevant to review existing works on mixed methods strategies and systematize the knowledge gained in the context of the identified issues. In order to include mixed strategies in research practice, it is essential to analyze the types of design that combine different types of research methods. Objective. The study had its purpose to conduct a comparative analysis of the mixed methods designs proposed by foreign researchers in the field of social sciences, as well as to develop an optimal mixed methods design model applicable to socio-psychological research. Method. The types of mixed methods design proposed by Morgan, Magetti, Cresswell and Clark were compared according to the following criteria: the stages of mixing qualitative and quantitative approaches, the time sequence of their application within the same research project, and the emphasis on the task specifics depending on the approach. Results. Based on the theoretical material and the results of a comparative analysis of the existing classifications, a mixed methods design model has been developed, which includes five types of design differing in the sequence of methods used, their priority, and the nature of the tasks solved: searching, constructing, generalizing, explanatory (quality-oriented and quantity-oriented). Conclusion. The proposed model of mixed methods design can be advantageous for socio-psychological research, since it allows to implement both objective and subjective data, combining them depending on the study objectives.

Intersectionality, in its original conceptualization, asserted that the combination of categories can lead to unknown experiences and to invisibility. Over time, to capture the effects which explain Black women's intersectional experiences, quantitative operationalizations of intersectionality made two changes to the concept: first, they reformulated intersectionality to a known difference in outcomes such as health status; second, they began to measure how groups experience such differences under the effect of particular categories. In this paper we demonstrate that, despite these methodological reformulations, intersectionality as invisibility still manifests in quantitative health modelling, thereby not capturing Black women's unique experiences. We use the U.S. 1972–2022 integrated General Social Survey data and the overall self-rated heath, race, and gender variables. We, step by step, outline how intersectional invisibility arises in additive, interactive, and multiplicative models with White male, or the most dominant group, set as the intercept. To visibilize Black women's experience we propose changing the intercept to Black female.

Despite the strong evidence linking psychological stress to disease risk, health researchers often fail to include psychological stress in models of health. One reason for this is the incorrect perception that the construct of psychological stress is too vague and broad to accurately measure. This article describes best practices in stress measurement, detailing which dimensions of stressor exposures and stress responses to capture, and how. We describe when to use psychological versus physiological indicators of stress. It is crucial that researchers across disciplines utilize the latest methods for measuring and describing psychological stress in order to build a cumulative science.

Alcohol-intoxicated suspects’ confessions are admissible in U.S. courts; however, it is unknown how jurors evaluate such confessions. Study 1 assessed potential jurors’ perceptions of intoxication in interrogative contexts. Many respondents were unaware that questioning intoxicated suspects and presenting subsequent confessions in court are legal, and respondents generally reported they would rely less on intoxicated than sober confessions. In Study 2, potential jurors read a case about a defendant who had confessed or not while sober or intoxicated. Participants who read about an intoxicated defendant perceived the interrogation as more inappropriate and the defendant as more cognitively impaired than did participants who read about a sober defendant, and as a result, they were less likely to convict. Furthermore, intoxicated confessions influenced conviction decisions to a lesser extent than did sober confessions. Findings suggest that investigators might consider abstaining from interrogating intoxicated suspects or else risk jurors finding confessions unconvincing in court.

Social media platforms like Instagram are often used as venues for discussing relationships, making them ideal channels for promoting healthy relationships and preventing intimate partner violence (IPV). This is particularly relevant for IPV, which has been historically understood as a personal issue and lacked support for consideration as a significant public health issue. To explore a potential platform for IPV prevention, this study examines the ways in which IPV messages on Instagram reflect public health understandings of, and approaches to, prevention and how Instagram users engage with these posts. We analyzed 700 Instagram posts about IPV using the social ecological model as the theoretical framework for conceptualizing framing devices. Posts that mentioned individual causal attribution and individual solution responsibility were both present in the majority of posts and elicited more engagement than posts that did not. Encouragingly, the Instagram sample was more reflective of a range of different types of IPV experiences than previous analyses of traditional media content, possibly indicating that a public health approach to this issue is gaining traction.

Network analysis has driven key developments in research on animal behaviour by providing quantitative methods to study the social structures of animal groups and populations. A recent formalism, known as multilayer network analysis, has advanced the study of multifaceted networked systems in many disciplines. It offers novel ways to study and quantify animal behaviour through connected 'layers' of interactions. In this article, we review common questions in animal behaviour that can be studied using a multilayer approach, and we link these questions to specific analyses. We outline the types of behavioural data and questions that may be suitable to study using multilayer network analysis. We detail several multilayer methods, which can provide new insights into questions about animal sociality at individual, group, population and evolutionary levels of organization. We give examples for how to implement multilayer methods to demonstrate how taking a multilayer approach can alter inferences about social structure and the positions of individuals within such a structure. Finally, we discuss caveats to undertaking multilayer network analysis in the study of animal social networks, and we call attention to methodological challenges for the application of these approaches. Our aim is to instigate the study of new questions about animal sociality using the new toolbox of multilayer network analysis.

Qualitative research and more specifically a hermeneutic approach to interpreting communications in L2 classes has much to contribute to the accumulation of psychological knowledge about L2 learners. The modern social hermeneutic approach helps to address questions that are quite relevant for explaining contemporary developments in L2 educational strategies and policy-making. It can be used alone or in combination with quantitative methods of data analysis to analyze how certain psychological variables (cognitive factors, affective factors, and personality traits) emerge from the social interactions that occur within the ecologically situated nature of classroom language learning. The purpose of this conceptual review is to provide an introductory overview of the hermeneutic approach and discuss how it can be effectively used in L2 studies to explore the emergence, development, and causal mechanisms underlying the psychological variables in the interactive context of L2 classes. Also, suggestions will be explained with respect to the contributions of the method to L2 psychology, educational psychology, and second language acquisition domains.

This paper presents the network psychometric framework for dimensionality and item analysis termed exploratory graph analysis (EGA). It starts by briefly contextualizing the field of network psychometrics and the early work from the 1950s and 1960s. Then, it provides a brief overview of EGA and other recent developments, such as the network loadings (a metric akin to factor loadings), total entropy fit index (verification of dimensionality fit), dynamic EGA, bootstrap EGA for dimensionality and item stability, random intercepts EGA (handling wording effects), and hierarchical EGA to estimate high-order structures (e.g., generalized bifactor models). The goal of the paper is to present the reader with a list of contextualized references. [ABSTRACT FROM AUTHOR]

This study aims to assess program quality and developmental outcomes of a youth volleyball project in one of the regional states in Ethiopia, and further examine variations between groups across gender and project site zones. We applied a cross-sectional survey design, collecting quantitative data from youth volleyball players (n = 215) with a mean age of 16.18 years (SD = 0.69) through a self-reported questionnaire. The results indicated that young players’ perceptions did not vary significantly across gender, except for the mean score of the perceived experience variable for girls (M = 2.68, SD = 0.318) was significantly higher than the mean score of boys (M = 2.58, SD = 0.258). One-way (project site zone) analyses of variance (ANOVAs) identified that youth volleyball projects in the central zone were consistently rated higher than those in the western zone, except for the current practice rating. Moreover, correlation analysis results indicated the presence of a significant relationship, both within and between program quality and developmental outcome variables. Furthermore, the results of regression analysis indicated that the program quality variables together predicted each of the developmental outcomes, accounting for 18.9% to 31.7% of the variances. It is concluded that the quality of the youth volleyball program in Ethiopia varies considerably across the project site zones and the program quality variables significantly relate to the developmental outcomes measured with differential effects. The data from this study reveals several practical applications for Ethiopia and beyond in terms of guiding youth volleyball projects. Moreover, the findings of the study showed that youth sport and the manner in which it is structured and delivered to youth players influences the attainment of positive developmental outcomes. These results suggest that contextual differences really do have an effect on the quality of youth sport program processes and developmental outcomes.

This article contributes to the limited empirical literature on the impact of decentralization on psychological wellbeing by investigating the hypothesis which signifies that shifts toward more fiscal decentralization in health services would be accompanied by improvements in health outcomes. Formulating a conventional public finance model applied to health care, this hypothesis is tested on a panel data of the Pakistan's provinces during the period 1990 to 2015. The empirical underpinning of the article suggested that the economic reforms of 2001 in Pakistan's healthcare sector, through fiscal decentralization, have imposed a substantial and positive influence on the effectiveness of the public policy in improving the healthcare outcomes over the examined period.

Living donor kidney transplant is the ideal treatment option for end-stage renal disease; however, the decision to pursue living donor kidney transplant is complex and challenging. Measurement invariance of living donor kidney transplant Decisional Balance and Self-Efficacy across gender (male/female), race (Black/White), and education level (no college/college or higher) were examined using a sequential approach. Full strict invariance was found for Decisional Balance and Self-Efficacy for gender and partial strict invariance was found for Decisional Balance and Self-Efficacy across race and education level. This information will inform tailored feedback based on these constructs in future intervention studies targeting behavior change among specific demographic subgroups.

Assessing the association between conceptual constructs are at the heart of quantitative research in educational and psychological research. Researchers apply different methods to the data to obtain results about the correlation between a set of variables. However, the question remains, how accurate are the results of the correlation obtained from these methods? Although various considerations should be taken to ensure accurate results, we focus on the types of analysis researchers apply to the data and discuss three methods most researchers use to obtain results about correlation. Particularly, we show how correlation results in bivariate correlation, confirmatory factor analysis (CFA), and exploratory structural equation modeling (ESEM) differ substantially in size. We observe that methods that assume independence of the items often generate inflated factor correlations whereas methods that relax this assumption present uninflated, thus more accurate correlations. Because factor correlations are inflated in bivariate correlation and CFA, the discriminant validity of the constructs is often unattainable. In these methods, the size of the correlation can be very large and biased. We discuss the reasons for this variation and suggest the type of correlation that researchers should select and report.

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization.

Latent profile analysis identified health locus of control profiles among 436 Hispanic Americans who completed the Multidimensional Health Locus of Control scales. Results revealed four profiles: Internally Oriented-Weak, -Moderate, -Strong, and Externally Oriented. The profile groups were compared on sociocultural and demographic characteristics, health beliefs and behaviors, and physical and mental health outcomes. The Internally Oriented-Strong group had less cancer fatalism, religiosity, and equity health attributions, and more alcohol consumption than the other three groups; the Externally Oriented group had stronger equity health attributions and less alcohol consumption. Deriving multidimensional health locus of control profiles through latent profile analysis allows examination of the relationships of health locus of control subtypes to health variables.

People differ in their sensitivity to internal and external stimuli, falling into one of three sensitivity groups (low, medium, and high). Studies have pointed out that individual differences in sensitivity should be considered in psychological intervention settings. This study aimed to explore effective coping strategies in the three sensitivity groups. In total, 692 Japanese university students (389 females; Mage = 20.6 ± 1.4 years) responded to an open-ended question about the coping strategies they employ, and to two self-report measures assessing their level of sensitivity and mental health. A series of co-occurrence network analyses with two grouping variables (i.e., better or poorer mental health) suggested that effective coping strategies differed among the three sensitivity groups.

Publication bias is pervasive in social and behavioral sciences because journals and scholars tend to reward and be rewarded for statistically significant findings. However, the determinants of the severity of publication bias are less well understood. We argue that publication bias depends on whether an independent variable is a key variable or statistical control in traditional regression modeling. The bias should be severe only for the key variable that relates to a central question and hypothesis in a study. We offer an empirical strategy to detect the conditional nature of publication bias. As an illustration, we perform a meta-regression of 229 model estimates from 36 articles in the democracy-foreign direct investment literature. We find that publication bias is most severe when democracy is a key variable, but appears weak when democracy is a control. Our research demonstrates that empirical estimates for key and control variables follow different data generation processes and makes a novel contribution to the study of publication bias that affects many research areas. [ABSTRACT FROM AUTHOR]

The paper reports an investigation on whether valid results can be achieved in analyzing the structure of datasets although a large percentage of data is missing without replacement. Two types of confirmatory factor analysis (CFA) models were employed for this purpose: the missing data CFA model with an additional latent variable for representing the missing data and the semi-hierarchical CFA model that also includes the additional latent variable and reflects the hierarchical structure assumed to underlie the data. Whereas, the missing data CFA model assumes that the model is equally valid for all participants, the semi-hierarchical CFA model is implicitly specified differently for subgroups of participants with and without omissions. The comparison of these models with the regular one-factor model in investigating simulated binary data revealed that the modeling of missing data prevented negative effects of missing data on model fit. The investigation of the accuracy in estimating the factor loadings yielded the best results for the semi-hierarchical CFA model. The average estimated factor loadings for items with and without omissions showed the expected equal sizes. But even this model tended to underestimate the expected values.

This study aimed to depict the assessment process of treatment effects of extensive reading in a second language (L2) toward the establishment of an evidence-based practice. Although standardized mean differences between treatment and control groups have been applied to interpret the magnitude of treatment effects in observational studies on L2 teaching, individual effect sizes vary according to differences in learners, measures, teaching approaches, and research quality. Prior research on extensive reading has suffered from methodological restrictions, especially due to a lack of appropriate comparison between treatment and control groups. For these reasons, a retrospective meta-analysis including only studies that ensured between-group equivalence was conducted in Study 1 to estimate the effect sizes of extensive reading expected in specific teaching environments. When the focused skill of the one-semester program was reading comprehension, its effect size was predicted as d = 0.55. However, the moderator analysis showed that this treatment effect was overestimated due to selection bias in the analyzed studies and adjusted the effect size from 0.55 to 0.37. In Study 2, propensity score analysis was applied to minimize selection bias attributed to observed confounding variables in the comparison between non-randomized treatment and control groups. Data were collected from 109 Japanese university students of English who received in-class extensive reading for one semester and 115 students who attended another English class as the control group. Various types of matching were attempted, and in consideration of balancing the five covariates that might affect treatment effect estimation, the best solutions were nearest neighborhood matching without replacement, nearest neighborhood matching with replacement, and full matching. The results showed that the average treatment effects of extensive reading on all the participants (d = 0.24–0.44) and on the treated individuals (d = 0.32–0.40) were both consistent with the benchmark established in Study 1. Pedagogical implications and methodological limitations are discussed for decision-making regarding the implementation of L2 teaching practices based on research evidence.

Orientation: Work-related research from the perspective of psychology journal publications is reviewed, indicating research topic trends and research method use. Research purpose: What psychology journals are publishing about work-related topics as well as how these topics are being investigated was indicated. The specific objectives of this study were to analyse what research methods are being used, how these methods are being used and for what topics in work-related research. Motivation for the study: The lack of studies that investigate the use of research methods and work-related study themes from the perspective of miscellaneous psychology journals prompted this study. Research approach/design and method: A systematised review design was followed based on data collected by a previous study. Work-related research articles (n = 73) from five top-tier international miscellaneous or general psychology journals (published between 2013 and 2017) were collected and categorised. Main findings: Quantitative methods, convenience samples, cross-sectional designs and questionnaires for data collection as well as analysis of variance were the most frequently used methodologies. Workplace relationships, job search quality and re-employment and work stress were the most frequently investigated topics. Practical/managerial implications: Researchers should pay attention to the areas that lack methodological transparency in their studies to address the replication crisis in psychology. Method use should be expanded beyond quantitative methods where applicable. Industrial and organisational psychologists are reminded of their identity as applied psychologists. Contribution/value-add: The use of research methods in work-related research published by psychology journals is presented. Trends for this sample as well as areas for improving the replication crisis in psychology were identified. [ABSTRACT FROM AUTHOR]

Potential associations between systemic inflammation and social support received by a sample of 120 older adults were examined here. Inflammatory markers, cognitive function, social support and psychosocial wellbeing were evaluated. A structural equation modelling approach was used to analyse the data. The model was a good fit χ 108 2 = 256 . 13 , p < 0.001; comparative fit index = 0.973; Tucker–Lewis Index = 0.962; root mean square error of approximation = 0.021; standardised root mean-square residual = 0.074). Chemokine levels were associated with increased age (β = 0.276), receipt of less social support from friends (β = −0.256) and body mass index (β = −0.256). Results are discussed in relation to social signal transduction theory. [ABSTRACT FROM AUTHOR]

Univariate and multivariate relationships between perfectionistic self-presentation and reactions to impairment and disability following spinal cord injury were examined. A total of 144 adults with spinal cord injury (M = 48.18 years old, SD = 15.96) completed self-report measures. Analyses revealed that, after controlling for time since injury and gender, perfectionistic self-presentation predicted six of eight reactions, shock, depression and internalised anger particularly strongly. In addition, at multivariate level, perfectionistic self-presentation was positively related to non-adaptive reactions and negatively related to adaptive reactions. The findings suggest that perfectionistic self-presentation may contribute to poorer psychosocial adaptation to spinal cord injury. [ABSTRACT FROM AUTHOR]

The period from ages 18 to 25 is sometimes called 'emerging adulthood' (Arnett ,) since it has come to be characterized by major life transitions. Linguistically, this means that lifespan change in the individual (Sankoff ,) might be particularly likely during these years (Labov : 447; Bigham : 533; Kohn : 20). Addressing a need for more real‐time sociolinguistic research on early adulthood, we employ data from a panel study of a single speaker, 'Clara' (b. 1986), interviewed every 12 to 18 months between the ages of 16 and 30 (Tagliamonte , : 274–276). We examine four linguistic variables that differ according to level of the grammar and social salience in Clara's community (Toronto, Canada). For each variable, Clara's rates of the variants shift to match those of subsequent age cohorts in the community around her as she gets older and joins the workforce. These findings attest to emerging adulthood as a sociolinguistically formative period. More generally, they emphasize the inseparability of individuals and their linguistic surroundings. [ABSTRACT FROM AUTHOR]

We propose a SAGE model for social psychological research. Encapsulated in our acronym is a proposal to have a synthetic approach to social psychological research, in which qualitative methods are augmentative to quantitative ones, qualitative methods can be generative of new experimental hypotheses, and qualitative methods can capture experiences that evade experimental reductionism. We remind social psychological researchers that psychology was founded in multiple methods of investigation at multiple levels of analysis. We discuss historical examples and our own research as contemporary examples of how a SAGE model can operate in part or as an integrated whole. The implications of our model are discussed. [ABSTRACT FROM AUTHOR]

Use of anabolic-androgenic steroids is a public health concern for adolescent boys. This study examined bullying based on being labeled gay/bisexual and steroid use among US adolescent boys, including sexual orientation disparities. Data from 2660 boys from the 2015 Youth Behavior Risk Survey were used. Among heterosexual boys, steroid use was higher among those who reported being bullied due to being labeled gay or bisexual. No such relationship existed among non-heterosexual boys. The results speak to the need to address issues of masculinity in clinical work with boys and young men. [ABSTRACT FROM AUTHOR]

Objective: Previous research has indicated high rates of intercity movement among homeless young adults (HYAs) for a variety of prosocial (e.g., avoiding domestic violence and seeking new employment opportunities) and antisocial (e.g., following drug supplies and avoiding law enforcement) reasons. The complicated mixture of individual circumstances associated with transience has made it difficult to predict features of transience, such as distance traveled and move frequency. Method: This study describes a method to build an artificial neural network (ANN) that predicts distance traveled and compares the results of thatANN to a generalized linear regression. Results: The ANN more accurately predicts distance traveled than does the linear statistical model and advances the development of approaches to predict complicated human phenomena. Conclusions: Accurately predicting features of transience among HYAs is important in tailoring effective interventions aimed at minimizing travel for negative reasons and making travel for positive reasons safer. [ABSTRACT FROM AUTHOR]

Aims and objectives To examine discrimination and resilience experiences of people who identify as transgender and establish potential health service responses. Background People who identify as transgender face many challenges in society in terms of the knowledge, understanding and acceptance of a person's gender identity. Design A narrative review of quantitative empirical research. Methods A comprehensive search of CINAHL, MEDLINE, Psyc INFO and Sociological Abstracts electronic databases from 2006-2016 was conducted. Results The search yielded 1,478 papers and following the application of rigorous inclusion and exclusion criteria a total of 19 papers were included in the review. The findings reveal that there is a need to ensure that the needs of transgender people are represented, fully integrated and clearly linked to outcomes that improve their health and quality of life. Conclusions Discrimination experiences can result in poorer health outcomes; however, many people have developed resilience and positive coping strategies. Relevance to clinical practice Nurses need to recognise and respond appropriately to the care and treatment needs of this population. Comprehensive nursing assessments and plans of care that encompass all aspects of the person should be in place supported by clear policy guidelines and evidence-based research. The education requirements of practitioners are outlined. [ABSTRACT FROM AUTHOR]

The paper is devoted to the urgent problem of religiosity. The authors explore the concept of «religiosity», identify several groups of its features and justify the use of qualitative and quantitative methods for the study of the concept. The purpose of this paper is to study the criteria of religiosity and to analyze the compliance of modern students with them. After studying some research papers on the subject, the authors underline that there is a problem of differentiation of the external and internal religiosity and describe each of them. Having conducted a questionnaire survey among students of Kemerovo State University, the authors come to the conclusion that modern students have external religiosity, religion has lost its high spirit and mystery for them. The paper states the idea that only a minor part of the respondents may be considered as truly religious or having inner religiosity people since their spiritual lives and behaviour fit the criteria of «religiosity». For the rest of the respondents the phenomenon of religiosity is gradually and unconsciously replaced by the phenomenon of pseudoreligiosity.

The article offers information on making advanced quantitative methods approachable in pediatric psychology. Topics discussed include information on the rise in the field of pediatric psychology; discussions on the increasingly complex research in the pediatric psychology; and the information on the updated moderation probing techniques within pediatric psychology.

Organizational interventions aiming at improving employee health and wellbeing have proven to be challenging to evaluate. To analyze intervention processes two methodological approaches have widely been used: quantitative (often questionnaire data), or qualitative (often interviews). Both methods are established tools, but their distinct epistemological properties enable them to illuminate different aspects of organizational interventions. In this paper, we use the quantitative and qualitative process data from an organizational intervention conducted in a national postal service, where the Intervention Process Measure questionnaire (N=285) as well as an extensive interview study (N= 50) were used. We analyze what type of knowledge about intervention processes these two methodologies provide and discuss strengths and weaknesses as well as potentials for mixed methods evaluation methodologies.