KnowledgeTrend Research Network
KnowledgeTrend JournalFunding & Careers
KnowledgeTrend
☰ Menu
HomePapersResearchersResearch LabsProjectsGroupsFunding & CareersScholarshipsBlogJournalTools
Sign inCreate account
Motivation and Self-Concept in Sports, Education, Achievement, and Giftedness, Perfectionism, Procrastination, Anxiety Studies

Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.

American Psychologist · 2000

RRichard M. Ryan·EEdward L. Deci
0 KT citations48 views0 saves0 references

Abstract

Human beings can be proactive and engaged or, alternatively, passive and alienated, largely as a function of the social conditions in which they develop and function. Accordingly, research guided by self-determination theory has focused on the social-contextual conditions that facilitate versus forestall the natural processes of self-motivation and healthy psychological development. Specifically, factors have been examined that enhance versus undermine intrinsic motivation, self-regulation, and well-being. The findings have led to the postulate of three innate psychological needs--competence, autonomy, and relatedness--which when satisfied yield enhanced self-motivation and mental health and when thwarted lead to diminished motivation and well-being. Also considered is the significance of these psychological needs and processes within domains such as health care, education, work, sport, religion, and psychotherapy.

Research topics

Education, Achievement, and GiftednessMotivation and Self-Concept in SportsPerfectionism, Procrastination, Anxiety Studies
Continue discovering

Related research

Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review

The authors provide a basic set of guidelines and recommendations for information that should be included in any manuscript that has confirmatory factor analysis or structural equation modeling as the primary statistical analysis technique. The authors provide an introduction to both techniques, along with sample analyses, recommendations for reporting, evaluation of articles in The Journal of Educational Research using these techniques, and concluding remarks.

Structural equation modeling in practice: A review and recommended two-step approach.

In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.