TY - JOUR A1 - Brunner, Martin A1 - Keller, Lena A1 - Stallasch, Sophie E. A1 - Kretschmann, Julia A1 - Hasl, Andrea A1 - Preckel, Franzis A1 - Luedtke, Oliver A1 - Hedges, Larry T1 - Meta-analyzing individual participant data from studies with complex survey designs BT - a tutorial on using the two-stage approach for data from educational large-scale assessments JF - Research synthesis methods N2 - Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational large-scale assessments (ELSAs) or social, health, and economic survey and panel studies. The meta-analytic integration of these results offers unique and novel research opportunities to provide strong empirical evidence of the consistency and generalizability of important phenomena and trends. Using ELSAs as an example, this tutorial offers methodological guidance on how to use the two-stage approach to IPD meta-analysis to account for the statistical challenges of complex survey designs (e.g., sampling weights, clustered and missing IPD), first, to conduct descriptive analyses (Stage 1), and second, to integrate results with three-level meta-analytic and meta-regression models to take into account dependencies among effect sizes (Stage 2). The two-stage approach is illustrated with IPD on reading achievement from the Programme for International Student Assessment (PISA). We demonstrate how to analyze and integrate standardized mean differences (e.g., gender differences), correlations (e.g., with students' socioeconomic status [SES]), and interactions between individual characteristics at the participant level (e.g., the interaction between gender and SES) across several PISA cycles. All the datafiles and R scripts we used are available online. Because complex social, health, or economic survey and panel studies share many methodological features with ELSAs, the guidance offered in this tutorial is also helpful for synthesizing research evidence from these studies. KW - complex survey designs KW - educational large-scale assessments KW - individual KW - participant data KW - meta-analysis KW - Programme for International Student KW - Assessment Y1 - 2022 U6 - https://doi.org/10.1002/jrsm.1584 SN - 1759-2879 SN - 1759-2887 VL - 14 IS - 1 SP - 5 EP - 35 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Hasl, Andrea A1 - Kretschmann, Julia A1 - Richter, Dirk A1 - Voelkle, Manuel A1 - Brunner, Martin T1 - Investigating Core Assumptions of the "American Dream": Historical Related to Key Life Outcomes in Adulthood JF - Psychology and aging N2 - The present study examines how historical changes in the U.S. socioeconomic environment in the 20th century may have affected core assumptions of the "American Dream." Specifically, the authors examined whether such changes modulated the extent to which adolescents' intelligence (IQ), their grade point average (GPA), and their parents' socioeconomic status (SES) could predict key life outcomes in adulthood about 20 years later. The data stemmed from two representative U.S. birth cohorts of 15- and 16-year-olds who were born in the early 1960s (N = 3,040) and 1980s (N = 3,524) and who participated in the National Longitudinal Surveys of Youth (NLSY). Cohort differences were analyzed with respect to differences in average relations by means of multiple and logistic regression and for specific points in each outcome distribution by means of quantile regressions. In both cohorts, IQ, GPA, and parental SES predicted important educational, occupational, and health-related life-outcomes about 20 years later. Across historical time, the predictive utility of adolescent IQ and parental SES remained stable for the most part. Yet, the combined effects of social-ecological and socioeconomic changes may have increased the predictive utility (that is, the regression weights) of adolescent GPA for educational, occupational, and health outcomes over time for individuals who were born in the 1980s. Theoretical implications concerning adult development, aging, and late life inequality are discussed. (PsycINFO Database Record. KW - cohort differences KW - intelligence KW - grade point average KW - socioeconomic status KW - life span research Y1 - 2019 U6 - https://doi.org/10.1037/pag0000392 SN - 0882-7974 SN - 1939-1498 VL - 34 IS - 8 SP - 1055 EP - 1076 PB - American Psychological Association CY - Washington ER - TY - JOUR A1 - Schachner, Theresa A1 - Gross, Christoph A1 - Hasl, Andrea A1 - Wangenheim, Florian von A1 - Kowatsch, Tobias T1 - Deliberative and paternalistic interaction styles for conversational agents in digital health BT - procedure and validation through a web-based experiment JF - Journal of medical internet research : international scientific journal for medical research, information and communication on the internet ; JMIR N2 - Background: Recent years have witnessed a constant increase in the number of people with chronic conditions requiring ongoing medical support in their everyday lives. However, global health systems are not adequately equipped for this extraordinarily time-consuming and cost-intensive development. Here, conversational agents (CAs) can offer easily scalable and ubiquitous support. Moreover, different aspects of CAs have not yet been sufficiently investigated to fully exploit their potential. One such trait is the interaction style between patients and CAs. In human-to-human settings, the interaction style is an imperative part of the interaction between patients and physicians. Patient-physician interaction is recognized as a critical success factor for patient satisfaction, treatment adherence, and subsequent treatment outcomes. However, so far, it remains effectively unknown how different interaction styles can be implemented into CA interactions and whether these styles are recognizable by users. Objective: The objective of this study was to develop an approach to reproducibly induce 2 specific interaction styles into CA-patient dialogs and subsequently test and validate them in a chronic health care context. Methods: On the basis of the Roter Interaction Analysis System and iterative evaluations by scientific experts and medical health care professionals, we identified 10 communication components that characterize the 2 developed interaction styles: deliberative and paternalistic interaction styles. These communication components were used to develop 2 CA variations, each representing one of the 2 interaction styles. We assessed them in a web-based between-subject experiment. The participants were asked to put themselves in the position of a patient with chronic obstructive pulmonary disease. These participants were randomly assigned to interact with one of the 2 CAs and subsequently asked to identify the respective interaction style. Chi-square test was used to assess the correct identification of the CA-patient interaction style. Results: A total of 88 individuals (42/88, 48% female; mean age 31.5 years, SD 10.1 years) fulfilled the inclusion criteria and participated in the web-based experiment. The participants in both the paternalistic and deliberative conditions correctly identified the underlying interaction styles of the CAs in more than 80% of the assessments (X-1(,8)8(2)=38.2; P<.001; phi coefficient r(phi)=0.68). The validation of the procedure was hence successful. Conclusions: We developed an approach that is tailored for a medical context to induce a paternalistic and deliberative interaction style into a written interaction between a patient and a CA. We successfully tested and validated the procedure in a web-based experiment involving 88 participants. Future research should implement and test this approach among actual patients with chronic diseases and compare the results in different medical conditions. This approach can further be used as a starting point to develop dynamic CAs that adapt their interaction styles to their users. KW - conversational agents KW - chatbots KW - human-computer interaction KW - physician-patient relationship KW - interaction styles KW - deliberative KW - interaction KW - paternalistic interaction KW - digital health KW - chronic KW - conditions KW - COPD Y1 - 2021 U6 - https://doi.org/10.2196/22919 SN - 1438-8871 VL - 23 IS - 1 PB - Healthcare World CY - Richmond, Va. ER - TY - JOUR A1 - Hasl, Andrea A1 - Voelkle, Manuel A1 - Kretschmann, Julia A1 - Richter, Dirk A1 - Brunner, Martin T1 - A dynamic structural equation approach to modeling wage dynamics and cumulative advantage across the lifespan JF - Multivariate Behavioral Research N2 - Wages and wage dynamics directly affect individuals' and families' daily lives. In this article, we show how major theoretical branches of research on wages and inequality-that is, cumulative advantage (CA), human capital theory, and the lifespan perspective-can be integrated into a coherent statistical framework and analyzed with multilevel dynamic structural equation modeling (DSEM). This opens up a new way to empirically investigate the mechanisms that drive growing inequality over time. We demonstrate the new approach by making use of longitudinal, representative U.S. data (NLSY-79). Analyses revealed fundamental between-person differences in both initial wages and autoregressive wage growth rates across the lifespan. Only 0.5% of the sample experienced a "strict" CA and unbounded wage growth, whereas most individuals revealed logarithmic wage growth over time. Adolescent intelligence and adult educational levels explained substantial heterogeneity in both parameters. We discuss how DSEM may help researchers study CA processes and related developmental dynamics, and we highlight the extensions and limitations of the DSEM framework. KW - Dynamic Structural Equation Modeling (DSEM) KW - wage dynamics KW - cumulative advantage (CA) KW - autoregressive wage growth KW - human capital theory Y1 - 2022 U6 - https://doi.org/10.1080/00273171.2022.2029339 SN - 0027-3171 SN - 1532-7906 VL - 58 IS - 3 SP - 504 EP - 525 PB - Routledge, Taylor & Francis Group CY - Abingdon ER -