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Introduction 1. Woman's Place in Man's Life Cycle 2. Images of Relationship 3. Concepts of Self and Morality 4. Crisis and Transition 5. Women's Rights and Women's Judgment 6. Visions of Maturity References Index of Study Participants General Index

In a Different Voice. Psychological Theory and Women’s Development. Cambridge, MA (Harvard University Press) 1982.

1. Introduction 2. The emergence of learning activity as a historical form of human learning 3. The zone of proximal development as the basic category of expansive research 4. The instruments of expansion 5. Toward an expansive methodology 6. Epilogue.

Learning by expanding: An activity-theoretical approach to developmental research

Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

Attachment--and loss.

Little is known empirically about connectivity and communication between the two hemispheres of the brain in the first year of life, and what theoretical opinion exists appears to be at variance with the meager extant anatomical evidence. To shed initial light on the question of interhemispheric connectivity and communication, this study investigated brain correlates of interhemispheric transmission of information in young human infants. We analyzed EEG data from 12 4-month-olds undergoing a face-related oddball ERP protocol. The activity in the contralateral hemisphere differed between odd-same and odd-difference trials, with the odd-different response being weaker than the response during odd-same trials. The infants’ contralateral hemisphere “recognized” the odd familiar stimulus and “discriminated” the odd-different one. These findings demonstrate connectivity and communication between the two hemispheres of the brain in the first year of life and lead to a better understanding of the functional integrity of the developing human infant brain.

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Electrophysiological Evidence for Interhemispheric Connectivity and Communication in Young Human Infants

Problem Solving as an Element of Developmental Well-Being: D. Camille Smith

Chapters 3–7 in this volume presented comparisons of base rates, coherences, and correspondences in maternal parenting practices and infant behaviors in and between two groups in each of five countries: Argentina, Belgium, Israel, Italy, and the United States, respectively. Chapter 8 excerpts comparable groups from each country, aggregates the data for their maternal parenting practice and infant behavior domains and presents profiles of the domains and domain indicators. The chapter then presents comparative analyses of base rates of the maternal parenting practice and infant behavior domains disaggregated across countries, analyses of coherence in those maternal parenting practice and infant behavior domains, and analyses of correspondences between select maternal parenting practice and infant behavior domains. 

Cultural Specificities and Cultural Commonalities in Parenting and Infancy

Adolescent mental health problems are rising rapidly around the world. To combat this rise, clinicians and policymakers need to know which risk factors matter most in predicting poor adolescent mental health. Theory-driven research has identified numerous risk factors that predict adolescent mental health problems but has difficulty distilling and replicating these findings. Data-driven machine learning methods can distill risk factors and replicate findings but have difficulty interpreting findings because these methods are atheoretical. This study demonstrates how data- and theory-driven methods can be integrated to identify the most important preadolescent risk factors in predicting adolescent mental health. Machine learning models examined which of 79 variables assessed at age 10 were the most important predictors of adolescent mental health at ages 13 and 17. These models were examined in a sample of 1176 families with adolescents from nine nations. Machine learning models accurately classified 78% of adolescents who were above-median in age 13 internalizing behavior, 77.3% who were above-median in age 13 externalizing behavior, 73.2% who were above-median in age 17 externalizing behavior, and 60.6% who were above-median in age 17 internalizing behavior. Age 10 measures of youth externalizing and internalizing behavior were the most important predictors of age 13 and 17 externalizing/internalizing behavior, followed by family context variables, parenting behaviors, individual child characteristics, and finally neighborhood and cultural variables. The combination of theoretical and machine-learning models strengthens both approaches and accurately predicts which adolescents demonstrate above average mental health difficulties in approximately 7 of 10 adolescents 3–7 years after the data used in machine learning models were collected. 

/pdf/predicting-adolescent-mental-health-outcomes-across-cultures-2646vfdw.pdf

Marc H. Bornstein

Papers

Electrophysiological Evidence for Interhemispheric Connectivity and Communication in Young Human Infants

Problem Solving as an Element of Developmental Well-Being: D. Camille Smith

Cultural Specificities and Cultural Commonalities in Parenting and Infancy

Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach

Mastery Motivation and Goal Persistence in Young Children: Kay Donahue Jennings and Laura J. Dietz