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32 results on '"Edelsbrunner, Peter Adriaan"'

1. What Skills Related to the Control-of-Variables Strategy Need to Be Taught, and Who Gains Most? Differential Effects of a Training Intervention

Author

Peteranderl, Sonja, Edelsbrunner, Peter Adriaan, Deiglmayr, Anne, Schumacher, Ralph, and Stern, Elsbeth

Abstract

Building on rich training literature, we examined which skills constituting the control-of-variables strategy (CVS) benefit from a comprehensive training, and which develop similarly during content-focused inquiry at ages 10-12. In addition, we examined whether prior knowledge, reasoning abilities, and reading comprehension explain variation in intervention effects. In a within-classroom, controlled field-experiment, half of N = 618 children from schools located in the German-speaking part of Switzerland were randomly assigned to a training on the CVS, and the other half to an active control group engaging in content-focused inquiry. Mixed-effects models revealed that the CVS training improved children's skills in planning controlled experiments and understanding the indeterminacy of confounded experiments, whereas it did not show specific effects on children's skills in identifying and interpreting controlled experiments. Children with better reasoning abilities and reading comprehension showed the strongest intervention effects on the more difficult skills. The general and differential effects of training remained mostly stable after a period of 6 months. More basic CVS skills seem to develop without targeted training, whereas more advanced ones benefit most from training that meets learners' preconditions.

Published
2023
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5. Examining and comparing the relation between representational competence and conceptual knowledge across four samples.

Author

Edelsbrunner, Peter Adriaan and Hofer, Sarah Isabelle

Subjects
ENGINEERING students, SCIENCE teachers, PHYSICS students, STEM education, SCATTER diagrams
Abstract

Introduction: Whereas it is commonly assumed that in learning science, representational competence is a critical prerequisite for the acquisition of conceptual knowledge, comprehensive psychometric investigations of this assumption are rare. We undertake a step in this direction by re-analyzing the data from a recent study that found a substantial correlation between the two constructs in undergraduates in the context of field representations and electromagnetism. Methods: In this pre-registered contribution, we re-analyzed the data (N = 515 undergraduate students; M age = 21.81, SD age = 4.04) to examine whether the relation between representational competence and conceptual knowledge, both measured with psychometrically validated test instruments, is similar or varies between four samples from two countries. To this end, we employed correlational analysis and scatter plots. Employing these methods, we examined whether a positive relation between representational competence and conceptual knowledge can be found and is of similar magnitude in all samples. We also employed multiple-group latent profile analysis to examine how the more detailed association between the two constructs varies or is similar across samples. Results: We found that the relation between the two constructs was positive in all four samples, but was stronger in the samples consisting primarily of engineering and physics students than in environmental sciences and teacher education-students. All latent profiles indicated that high representational competence is a prerequisite for high conceptual knowledge, but not vice versa. We found little relation to learners' gender and topic-specific learning opportunities in high school. Discussion: These results indicate that the qualitative findings of a positive relation between representational competence and conceptual knowledge, with no evidence of learners that achieve high conceptual knowledge with low representational competence, generalize across different populations. We derive hypotheses for further moderating factors that can be examined in future research. [ABSTRACT FROM AUTHOR]

Published
2024
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10. A many-analysts approach to the relation between religiosity and well-being

Author

Hoogeveen, Suzanne, Sarafoglou, Alexandra; https://orcid.org/0000-0003-0031-685X, et al, Frisch, Lisa Katharina; https://orcid.org/0000-0003-4451-9587, Koller, Dave; https://orcid.org/0000-0001-5315-8782, Sebben, Simone; https://orcid.org/0000-0002-8524-9790, Edelsbrunner, Peter Adriaan, Hoogeveen, Suzanne, Sarafoglou, Alexandra; https://orcid.org/0000-0003-0031-685X, et al, Frisch, Lisa Katharina; https://orcid.org/0000-0003-4451-9587, Koller, Dave; https://orcid.org/0000-0001-5315-8782, Sebben, Simone; https://orcid.org/0000-0002-8524-9790, and Edelsbrunner, Peter Adriaan

Published
2023

12. Wachstumsverläufe der intrinsischen Wertüberzeugungen in Mathematik und Französisch: Zusammenhänge mit Berufsorientierungen

Author

Costache, Oana, Edelsbrunner, Peter Adriaan, Becker, Eva S, Sticca, Fabio, Staub, Fritz C, Götz, Thomas, University of Zurich, and Costache, Oana

Subjects
Motivation, Geschlechterunterschiede, Intrinsische Motivation, Berufsorientierungen, Latente Wachstumsklassen, 10091 Institute of Education, 370 Education, Bildung und Erziehung, 3304 Education, Education
Abstract

In dieser Längsschnittstudie wurden unterschiedliche Verläufe in der Entwicklung der intrinsischen Wertüberzeugungen in den Unterrichtsfächern Mathematik und Französisch in den Schuljahren 9 bis 11 und deren Zusammenhänge mit Berufsaspirationen untersucht. Bei 850 Schüler*innen von Deutschschweizer Gymnasien (54 % weiblich, Alter T1: 15,6 Jahre) wurden in einem bivariaten Wachstumsmodell fünf Wachstumsklassen identifiziert. Zwei dieser Klassen zeigten eine klare Differenzierung in den Wertüberzeugungen zwischen den beiden Fächern und eine stabile Entwicklung im bevorzugten Fach. Die anderen drei Klassen waren durch Mittelwertunterschiede (hohe, mittlere, niedrige intrinsische Wertüberzeugungen) gekennzeichnet und zeigten moderate Abnahmen über die Zeit in beiden Fächern. Die fünf Wachstumsklassen gingen mit unterschiedlichen Berufsorientierungen am Ende des 11. Schuljahres einher, wobei Berufsorientierungen bezüglich eines Fachs besonders hoch ausgeprägt waren, wenn die Wertüberzeugung bezüglich des anderen Faches niedrig war. Geschlechterunterschiede in den Berufsorientierungen konnten vollständig über die Zugehörigkeit der Geschlechter zu den fünf Wachstumsklassen erklärt werden., Zeitschrift für Erziehungswissenschaften, 25 (2), ISSN:1434-663X, ISSN:1862-5215

Published
2022
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15. A many-analysts approach to the relation between religiosity and well-being

Author

Hoogeveen, Suzanne, Sarafoglou, Alexandra, et al, Frisch, Lisa Katharina, Koller, Dave, Sebben, Simone, Edelsbrunner, Peter Adriaan, University of Zurich, and Hoogeveen, Suzanne

Subjects
10093 Institute of Psychology, Religious studies, 150 Psychology, 1212 Religious Studies
Published
2022

16. Wachstumsverläufe der intrinsischen Wertüberzeugungen in Mathematik und Französisch: Zusammenhänge mit Berufsorientierungen

Author

Costache, Oana; https://orcid.org/0000-0001-6610-2075, Edelsbrunner, Peter Adriaan, Becker, Eva S; https://orcid.org/0000-0001-6080-1481, Sticca, Fabio; https://orcid.org/0000-0003-3246-5833, Staub, Fritz C, Götz, Thomas, Costache, Oana; https://orcid.org/0000-0001-6610-2075, Edelsbrunner, Peter Adriaan, Becker, Eva S; https://orcid.org/0000-0001-6080-1481, Sticca, Fabio; https://orcid.org/0000-0003-3246-5833, Staub, Fritz C, and Götz, Thomas

Abstract

In dieser Längsschnittstudie wurden unterschiedliche Verläufe in der Entwicklung der intrinsischen Wertüberzeugungen in den Unterrichtsfächern Mathematik und Französisch in den Schuljahren 9 bis 11 und deren Zusammenhänge mit Berufsaspirationen untersucht. Bei 850 Schüler*innen von Deutschschweizer Gymnasien (54 % weiblich, Alter T1: 15,6 Jahre) wurden in einem bivariaten Wachstumsmodell fünf Wachstumsklassen identifiziert. Zwei dieser Klassen zeigten eine klare Differenzierung in den Wertüberzeugungen zwischen den beiden Fächern und eine stabile Entwicklung im bevorzugten Fach. Die anderen drei Klassen waren durch Mittelwertunterschiede (hohe, mittlere, niedrige intrinsische Wertüberzeugungen) gekennzeichnet und zeigten moderate Abnahmen über die Zeit in beiden Fächern. Die fünf Wachstumsklassen gingen mit unterschiedlichen Berufsorientierungen am Ende des 11. Schuljahres einher, wobei Berufsorientierungen bezüglich eines Fachs besonders hoch ausgeprägt waren, wenn die Wertüberzeugung bezüglich des anderen Faches niedrig war. Geschlechterunterschiede in den Berufsorientierungen konnten vollständig über die Zugehörigkeit der Geschlechter zu den fünf Wachstumsklassen erklärt werden.

Published
2022

19. Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

Author

Feldman, Michael, Van Assen, Marcel A L M, Bernstein, Abraham, Sommer, S Amy, Schweinsberg, Martin, Staub, Nicola, van den Akker, Olmo R, van Aert, Robbie, Liu, Yang, Althoff, Tim, Heer, Jeffrey, Kale, Alex, Mohamed, Zainab, Amireh, Hashem, Venkatesh Prasad, Vaishali, Robinson, Emily, Snellman, Kaisa, Otner, Sarah MG, Robinson, David, Madan, Nikhil, Silberzahn, Raphael, Goldstein, Pavel, Tierney, Warren, Murase, Toshio, Mandl, Benjamin, Viganola, Domenico, Strobl, Carolin, Schaumans, Catherine BC, Kelchtermans, Stijn, Naseeb, Chan, Garrison, S Mason, Yarkoni, Tal, Chan, CS, Prestone, Adie, Alaburda, Paulius, Albers, Casper, Alspaugh, Sara, Alstott, Jeff, Nelson, Andrew A, Ariño de la Rubia, Eduardo, Arzi, Adbi, Bahník, Štěpán, Baik, Jason, Winther Balling, Laura, Banker, Sachin, Baranger, David AA, Barr, Dale J, Barros-Rivera, Brenda, Bauer, Matt, Blaise, Enuh, Boelen, Lisa, Bohle Carbonell, Katerina, Briers, Robert A, Burkhard, Oliver, Canela, Miguel-Angel, Castrillo, Laura, Catlett, Timothy, Chen, Olivia, Clark, Michael, Cohn, Brent, Coppock, Alex, Cugueró-Escofet, Natàlia, Curran, Paul G, Cyrus-Lai, Wilson, Dai, David, Valentino Dalla Riva, Giulio, Danielsson, Henrik, de FSM Russo, Rosaria, de Silva, Niko, Derungs, Curdin, Dondelinger, Frank, Duarte de Souza, Carolina, Tyson Dube, B, Dubova, Marina, Mark Dunn, Ben, Edelsbrunner, Peter Adriaan, Finley, Sara, Fox, Nick, Gnambs, Timo, Gong, Yuanyuan, Grand, Erin, Greenawalt, Brandon, Han, Dan, HP Hanel, Paul, Hong, Antony B, Hood, David, Hsueh, Justin, Huang, Lilian, Hui, Kent N, Hultman, Keith A, Javaid, Azka, Ji Jiang, Lily, Jong, Jonathan, Kamdar, Jash, Kane, David, Kappler, Gregor, Kaszubowski, Erikson, Kavanagh, Christopher M, Khabsa, Madian, Kleinberg, Bennett, Kouros, Jens, Krause, Heather, Krypotos, Angelos-Miltiadis, Lavbič, Dejan, Ling Lee, Rui, Leffel, Timothy, Yang Lim, Wei, Liverani, Silvia, Loh, Bianca, Lønsmann, Dorte, Wei Low, Jia, Lu, Alton, MacDonald, Kyle, Madan, Christopher R, Hjorth Madsen, Lasse, Maimone, Christina, Mangold, Alexandra, Marshall, Adrienne, Matskewich, Helena Ester, Mavon, Kimia, McLain, Katherine L, McNamara, Amelia A, McNeill, Mhairi, Mertens, Ulf, Miller, David, Moore, Ben, Moore, Andrew, Nantz, Eric, Nasrullah, Ziauddin, Nejkovic, Valentina, Nell, Colleen S, Nelson, Andrew Arthur, Nilsonne, Gustav, Nolan, Rory, O’Brien, Christopher E, O’Neill, Patrick, O’Shea, Kieran, Olita, Toto, Otterbacher, Jahna, Palsetia, Diana, Pereira, Bianca, Pozdniakov, Ivan, Protzko, John, Reyt, Jean-Nicolas, Riddle, Travis, Ridhwan Omar Ali, Amal Akmal, Ropovik, Ivan, Rosenberg, Joshua M, Rothen, Stephane, Schulte-Mecklenbeck, Michael, Sharma, Nirek, Shotwell, Gordon, Skarzynski, Martin, Stedden, William, Stodden, Victoria, Stoffel, Martin A, Stoltzman, Scott, Subbaiah, Subashini, Tatman, Rachael, Thibodeau, Paul H, Tomkins, Sabina, Valdivia, Ana, and Druijff-van de Woestijne, Gerrieke B

Subjects
Crowdsourcing data analysis, Scientific transparency, Research reliability, Scientific robustness, Researcher degrees of freedom, Analysis-contingent results
Abstract

In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed.

Published
2021

23. Same data, different conclusions : Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

Author

Schweinsberg, Martin, Feldman, Michael, Staub, Nicola, van den Akker, Olmo R., van Aert, Robbie C. M., van Assen, Marcel A. L. M., Liu, Yang, Althoff, Tim, Heer, Jeffrey, Kale, Alex, Mohamed, Zainab, Amireh, Hashem, Prasad, Vaishali Venkatesh, Bernstein, Abraham, Robinson, Emily, Snellman, Kaisa, Sommer, S. Amy, Otner, Sarah M. G., Robinson, David, Madan, Nikhil, Silberzahn, Raphael, Goldstein, Pavel, Tierney, Warren, Murase, Toshio, Mandl, Benjamin, Viganola, Domenico, Strobl, Carolin, Schaumans, Catherine B. C., Kelchtermans, Stijn, Naseeb, Chan, Garrison, S. Mason, Yarkoni, Tal, Chan, C. S. Richard, Adie, Prestone, Alaburda, Paulius, Albers, Casper, Alspaugh, Sara, Alstott, Jeff, Nelson, Andrew A., de la Rubia, Eduardo Arinno, Arzi, Adbi, Bahnik, Stepan, Baik, Jason, Balling, Laura Winther, Banker, Sachin, Baranger, David A. A., Barr, Dale J., Barros-Rivera, Brenda, Bauer, Matt, Blaise, Enuh, Boelen, Lisa, Carbonell, Katerina Bohle, Briers, Robert A., Burkhard, Oliver, Canela, Miguel-Angel, Castrillo, Laura, Catlett, Timothy, Chen, Olivia, Clark, Michael, Cohn, Brent, Coppock, Alex, Cuguero-Escofet, Natalia, Curran, Paul G., Cyrus-Lai, Wilson, Dai, David, Dalla Riva, Giulio Valentino, Danielsson, Henrik, Russo, Rosaria de F. S. M., de Silva, Niko, Derungs, Curdin, Dondelinger, Frank, de Souza, Carolina Duarte, Dube, B. Tyson, Dubova, Marina, Dunn, Ben Mark, Edelsbrunner, Peter Adriaan, Finley, Sara, Fox, Nick, Gnambs, Timo, Gong, Yuanyuan, Grand, Erin, Greenawalt, Brandon, Han, Dan, Hanel, Paul H. P., Hong, Antony B., Hood, David, Hsueh, Justin, Huang, Lilian, Hui, Kent N., Hultman, Keith A., Javaid, Azka, Jiang, Lily Ji, Jong, Jonathan, Kamdar, Jash, Kane, David, Kappler, Gregor, Kaszubowski, Erikson, Kavanagh, Christopher M., Khabsa, Madian, Kleinberg, Bennett, Kouros, Jens, Krause, Heather, Krypotos, Angelos-Miltiadis, Lavbic, Dejan, Lee, Rui Ling, Leffel, Timothy, Lim, Wei Yang, Liverani, Silvia, Loh, Bianca, Lonsmann, Dorte, Low, Jia Wei, Lu, Alton, MacDonald, Kyle, Madan, Christopher R., Madsen, Lasse Hjorth, Maimone, Christina, Mangold, Alexandra, Marshall, Adrienne, Matskewich, Helena Ester, Mavon, Kimia, McLain, Katherine L., McNamara, Amelia A., McNeill, Mhairi, Mertens, Ulf, Miller, David, Moore, Ben, Moore, Andrew, Nantz, Eric, Nasrullah, Ziauddin, Nejkovic, Valentina, Nell, Colleen S., Nelson, Andrew Arthur, Nilsonne, Gustav, Nolan, Rory, O'Brien, Christopher E., O'Neil, Patrick, O'Shea, Kieran, Olita, Toto, Otterbacher, Jahna, Palsetia, Diana, Pereira, Bianca, Pozdniakov, Ivan, Protzko, John, Reyt, Jean-Nicolas, Riddle, Travis, Ali, Amal (Akmal) Ridhwan Omar, Ropovik, Ivan, Rosenberg, Joshua M., Rothen, Stephane, Schulte-Mecklenbeck, Michael, Sharma, Nirek, Shotwell, Gordon, Skarzynski, Martin, Stedden, William, Stodden, Victoria, Stoffel, Martin A., Stoltzman, Scott, Subbaiah, Subashini, Tatman, Rachael, Thibodeau, Paul H., Tomkins, Sabina, Valdivia, Ana, van de Woestijne, Gerrieke B., Viana, Laura, Villeseche, Florence, Wadsworth, W. Duncan, Wanders, Florian, Watts, Krista, Wells, Jason D., Whelpley, Christopher E., Won, Andy, Wu, Lawrence, Yip, Arthur, Youngflesh, Casey, Yu, Ju-Chi, Zandian, Arash, Zhang, Leilei, Zibman, Chava, Uhlmann, Eric Luis, Schweinsberg, Martin, Feldman, Michael, Staub, Nicola, van den Akker, Olmo R., van Aert, Robbie C. M., van Assen, Marcel A. L. M., Liu, Yang, Althoff, Tim, Heer, Jeffrey, Kale, Alex, Mohamed, Zainab, Amireh, Hashem, Prasad, Vaishali Venkatesh, Bernstein, Abraham, Robinson, Emily, Snellman, Kaisa, Sommer, S. Amy, Otner, Sarah M. G., Robinson, David, Madan, Nikhil, Silberzahn, Raphael, Goldstein, Pavel, Tierney, Warren, Murase, Toshio, Mandl, Benjamin, Viganola, Domenico, Strobl, Carolin, Schaumans, Catherine B. C., Kelchtermans, Stijn, Naseeb, Chan, Garrison, S. Mason, Yarkoni, Tal, Chan, C. S. Richard, Adie, Prestone, Alaburda, Paulius, Albers, Casper, Alspaugh, Sara, Alstott, Jeff, Nelson, Andrew A., de la Rubia, Eduardo Arinno, Arzi, Adbi, Bahnik, Stepan, Baik, Jason, Balling, Laura Winther, Banker, Sachin, Baranger, David A. A., Barr, Dale J., Barros-Rivera, Brenda, Bauer, Matt, Blaise, Enuh, Boelen, Lisa, Carbonell, Katerina Bohle, Briers, Robert A., Burkhard, Oliver, Canela, Miguel-Angel, Castrillo, Laura, Catlett, Timothy, Chen, Olivia, Clark, Michael, Cohn, Brent, Coppock, Alex, Cuguero-Escofet, Natalia, Curran, Paul G., Cyrus-Lai, Wilson, Dai, David, Dalla Riva, Giulio Valentino, Danielsson, Henrik, Russo, Rosaria de F. S. M., de Silva, Niko, Derungs, Curdin, Dondelinger, Frank, de Souza, Carolina Duarte, Dube, B. Tyson, Dubova, Marina, Dunn, Ben Mark, Edelsbrunner, Peter Adriaan, Finley, Sara, Fox, Nick, Gnambs, Timo, Gong, Yuanyuan, Grand, Erin, Greenawalt, Brandon, Han, Dan, Hanel, Paul H. P., Hong, Antony B., Hood, David, Hsueh, Justin, Huang, Lilian, Hui, Kent N., Hultman, Keith A., Javaid, Azka, Jiang, Lily Ji, Jong, Jonathan, Kamdar, Jash, Kane, David, Kappler, Gregor, Kaszubowski, Erikson, Kavanagh, Christopher M., Khabsa, Madian, Kleinberg, Bennett, Kouros, Jens, Krause, Heather, Krypotos, Angelos-Miltiadis, Lavbic, Dejan, Lee, Rui Ling, Leffel, Timothy, Lim, Wei Yang, Liverani, Silvia, Loh, Bianca, Lonsmann, Dorte, Low, Jia Wei, Lu, Alton, MacDonald, Kyle, Madan, Christopher R., Madsen, Lasse Hjorth, Maimone, Christina, Mangold, Alexandra, Marshall, Adrienne, Matskewich, Helena Ester, Mavon, Kimia, McLain, Katherine L., McNamara, Amelia A., McNeill, Mhairi, Mertens, Ulf, Miller, David, Moore, Ben, Moore, Andrew, Nantz, Eric, Nasrullah, Ziauddin, Nejkovic, Valentina, Nell, Colleen S., Nelson, Andrew Arthur, Nilsonne, Gustav, Nolan, Rory, O'Brien, Christopher E., O'Neil, Patrick, O'Shea, Kieran, Olita, Toto, Otterbacher, Jahna, Palsetia, Diana, Pereira, Bianca, Pozdniakov, Ivan, Protzko, John, Reyt, Jean-Nicolas, Riddle, Travis, Ali, Amal (Akmal) Ridhwan Omar, Ropovik, Ivan, Rosenberg, Joshua M., Rothen, Stephane, Schulte-Mecklenbeck, Michael, Sharma, Nirek, Shotwell, Gordon, Skarzynski, Martin, Stedden, William, Stodden, Victoria, Stoffel, Martin A., Stoltzman, Scott, Subbaiah, Subashini, Tatman, Rachael, Thibodeau, Paul H., Tomkins, Sabina, Valdivia, Ana, van de Woestijne, Gerrieke B., Viana, Laura, Villeseche, Florence, Wadsworth, W. Duncan, Wanders, Florian, Watts, Krista, Wells, Jason D., Whelpley, Christopher E., Won, Andy, Wu, Lawrence, Yip, Arthur, Youngflesh, Casey, Yu, Ju-Chi, Zandian, Arash, Zhang, Leilei, Zibman, Chava, and Uhlmann, Eric Luis

Abstract

In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists' gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for orga-nizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed.

Published
2021
Full Text
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24. Longitudinal Within-Person Associations Between Quality of Social Relations, Structure of Social Relations, and Cognitive Functioning in Older Age

Author

Luo, Minxia; https://orcid.org/0000-0003-3179-212X, Edelsbrunner, Peter Adriaan, Siebert, Jelena Sophie, Martin, Mike; https://orcid.org/0000-0003-1584-0312, Aschwanden, Damaris; https://orcid.org/0000-0002-0899-624X, Luo, Minxia; https://orcid.org/0000-0003-3179-212X, Edelsbrunner, Peter Adriaan, Siebert, Jelena Sophie, Martin, Mike; https://orcid.org/0000-0003-1584-0312, and Aschwanden, Damaris; https://orcid.org/0000-0002-0899-624X

Abstract

OBJECTIVES: Individuals' social connections and interpersonal experiences can both shape and be shaped by cognitive functioning. This study examines longitudinal within-person associations between quality of social relations, structure of social relations, and cognitive functioning in older age. METHOD: We examined 16-year longitudinal data (3 waves) from 497 older adults (M = 66.07 years, SD = 0.83, range = 64-68 years) from the Interdisciplinary Longitudinal Study of Adult Development and Aging (ILSE). Quality of social relations was measured by scales on perceived emotional support, instrumental support, and social integration. Structure of social relations was measured by self-reported number of leisure time partner types, indicating social network diversity. Cognitive functioning was assessed as a latent construct consisting of five cognitive tests (i.e., Information, Similarities, Letter Fluency, Picture Completion, Block Design). We used a random intercept cross-lagged panel model in the analysis. RESULTS: At the within-person level, prior quality of social relations, but not structure of social relations, was positively associated with subsequent cognitive functioning. Moreover, prior cognitive functioning was positively associated with subsequent structure of social relations, but not with quality of social relations. DISCUSSION: Quality of social relations is a protective factor of cognitive aging. Additionally, responding to prior lower cognitive functioning, social network diversity reduced, but quality of social relations did not seem to change. Overall, this study suggested that social relations and cognitive functioning mutually influence each other, but different aspects of social relations (i.e., quality, structure) might have different directional associations with cognitive functioning.

Published
2021

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