A Home/University Computer Network: Test of a System to Study Families

1989 ◽  
Vol 17 (4) ◽  
pp. 319-335
Author(s):  
J. Allen Watson ◽  
Michelle I. Eichhorn ◽  
John Scanzoni
Keyword(s):  
Conceptual Model ◽  
Computer Network ◽  
Religious Commitment ◽  
Strong Support ◽  
Family Process ◽  
Research Paradigm ◽  
Process Variables ◽  
Computer Based ◽  
New Research ◽  
Family Process Variables

The primary purpose of this study was to produce a new computer-based research paradigm designed to test family process variables. Twenty-nine males representing twenty-nine homes each with a microcomputer and modem served as subjects across a two-month period. A microcomputer/mainframe system was developed and integrated with a conceptual model used to test family decision-making variables. Nine subtests used in the conceptual model served as process variables in this study. Attitude questions concerning gender role preferences, religious commitment, empathy toward spouse, marital commitment, perception of spousal conflicts, degree of individualism, and self-esteem were presented and recorded via university mainframe from home computers. Data were analyzed across two test battery replication (two months). Data showed that the integration of an existing family process conceputal model and the microcomputer/mainframe system could be used as a new research paradigm, that the two months testing provided strong support for paradigm efficiency, and that the paradigm proved to be highly reliable and valid.

The Influences of the Family of Origin on Career Development

2004 ◽  
Vol 32 (4) ◽  
pp. 493-568 ◽  
Author(s):  
Susan C. Whiston ◽  
Briana K. Keller
Keyword(s):  
Career Development ◽  
Family Of Origin ◽  
Contextual Factors ◽  
Career Decisions ◽  
Positive Influence ◽  
Family Process ◽  
Process Variables ◽  
Gender And Age ◽  
The Family ◽  
Family Process Variables

Based on a developmental contextual perspective advocated by Vondracek, Lerner, and Schulenberg, this article provides a comprehensive review of the research published since 1980related to family of origin influences on career developmentandoccupational choice. Because individuals are most likely to seek assistance with career decisions from family members, it is important that counseling psychologists understand how families can have a positive influence and facilitate career development. Influential family contextual factors are identified within four developmentallevels (i.e., children, adolescents, college students/young adults, and adults). Across the lifespan, both family structure variables (e.g., parents’ occupations) and family process variables (e.g., warmth, support, attachment, autonomy) were found to influence a host of career constructs; however, the process by which families influence career development is complex and is affected by many contextual factors such as race, gender, and age. Based on this comprehensivereview, implicationsfor counselingresearch andpracticeare discussed.

Family Process Variables in the NLSY97: A Primer

2009 ◽  
Vol 45 (2-3) ◽  
pp. 129-139
Author(s):  
Hinckley A. Jones-Sanpei ◽  
Randal D. Day ◽  
Erin Holmes ◽  
Alisa van Langeveld
Keyword(s):  
Family Process ◽  
Process Variables ◽  
Family Process Variables

Studying Aptitude-Treatment Interactions: Development of a New Research Paradigm.

1999 ◽  
Author(s):  
Mary A. Lightfoot-Statman ◽  
Monica A. Gribben ◽  
Jennifer A. Naughton ◽  
Rodney A. McCloy
Keyword(s):  
Research Paradigm ◽  
New Research

Looking to the Middle of the Qualitative-Quantitative Spectrum for Integrated Mixed Methods

2021 ◽  
pp. 104649642199243
Author(s):  
Jensine Paoletti ◽  
Tiffany M. Bisbey ◽  
Stephanie Zajac ◽  
Mary J. Waller ◽  
Eduardo Salas
Keyword(s):  
Mixed Methods ◽  
Interaction Analysis ◽  
Agent Based Modeling ◽  
Research Paradigm ◽  
Complex Dynamic ◽  
Agent Based ◽  
Mixed Methods Approach ◽  
State Space Grids ◽  
New Research ◽  
Qualitative Characteristics

Substantially advancing the study of teams will require a new research paradigm complete with methods capable of capturing the complex, dynamic process of teamwork. In this paper, we suggest studying teams with an integrated mixed methods approach (i.e., methods defined by an interconnected mix of quantitative and qualitative characteristics) can help address current methodological shortcomings of our science by promoting sufficiently contextualized research. Through a review of methods, we highlight exemplars of integrated mixed methods that have the potential to be more widely adopted; namely, interaction analysis, content analysis, cluster analysis, state space grids, and agent-based modeling.

Die intrinsische Systemreaktion des tribologisch beanspruchten Schmierfettes

2021 ◽  
Author(s):  
Erik Kuhn
Keyword(s):  
Driving Forces ◽  
Observation Point ◽  
Point Of View ◽  
Experimental Results ◽  
Research Paradigm ◽  
Lubricating Grease ◽  
New Research

This article deals with the observed reactions of a lubricating grease to tribological stress. An attempt is made to find the driving forces describe that are responsible for the intrinsic response. From these considerations, a new research paradigm is derived that leaves the traditional observation point of view. The investigations are illustrated with experimental results.

Digital Mega-Studies as a New Research Paradigm: Governing the Health Research of the Future

2021 ◽  
pp. 155626462110414
Author(s):  
Jessica Bell ◽  
Megan Prictor ◽  
Lauren Davenport ◽  
Lynda O’Brien ◽  
Melissa Wake
Keyword(s):  
Large Scale ◽  
Group Processes ◽  
Research Paradigm ◽  
Multiple Sources ◽  
Individual Level ◽  
Key Characteristics ◽  
Governance Challenges ◽  
Technological Developments ◽  
Multi Stakeholder ◽  
New Research

‘Digital Mega-Studies’ are entirely or extensively digitised, longitudinal, population-scale initiatives, collecting, storing, and making available individual-level research data of different types and from multiple sources, shaped by technological developments and unforeseeable risks over time. The Australian ‘Gen V’ project exemplifies this new research paradigm. In 2019, we undertook a multidisciplinary, multi-stakeholder process to map Digital Mega-Studies’ key characteristics, legal and governance challenges and likely solutions. We conducted large and small group processes within a one-day symposium and directed online synthesis and group prioritisation over subsequent weeks. We present our methods (including elicitation, affinity mapping and prioritisation processes) and findings, proposing six priority governance principles across three areas—data, participation, trust—to support future high-quality, large-scale digital research in health.

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