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Journal ArticleDOI

Meaningfulness as satisfaction of autonomy, competence, relatedness, and beneficence: Comparing the four satisfactions and positive affect as predictors of meaning in life

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TLDR
In this paper, a cross-sectional survey was conducted to examine multiple predictors of meaning in life, including autonomy, competence, relatedness, beneficence, and positive affect.
Abstract
Positive affect (PA) has consistently been shown to predict meaning in life (MIL). In one of the first investigations to examine multiple predictors of MIL simultaneously, we tested in three studies the hypothesis that satisfactions associated with being benevolent and fulfilling psychological needs for autonomy, competence, and relatedness are more central predictors of MIL, and could explain the correlation between PA and MIL. Study 1, a cross-sectional survey, regressed the four suggested factors and PA simultaneously on MIL, showing that all four emerged as independent predictors, whereas PA and MIL were no longer connected. Study 2 looked at recollections of meaningful situations, showing that all four satisfactions and PA emerged as independent predictors of situational meaning. Study 3 used a diary method to show that daily fluctuations in autonomy, competence, relatedness, beneficence, and PA all simultaneously and independently predicted daily sense of meaning. However, a brief longitudinal study showed that whereas combined satisfaction of autonomy, competence, relatedness, and beneficence at T1 predicted general sense of MIL at T2, PA did not. Together, these studies show that the four satisfactions consistently emerge as independent predictors of both general and short-term meaning, in some situations even accounting for the relation between PA and general MIL.

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Journal ArticleDOI

Basic psychological need theory: Advancements, critical themes, and future directions

TL;DR: The study of basic psychological needs has witnessed a strong revival, in part spurred by Basic Psychological Need Theory (BPNT), one of the six mini-theories within Self-Determination Theory.
Book ChapterDOI

Brick by Brick: The Origins, Development, and Future of Self-Determination Theory

TL;DR: Self-Determination Theory (SDT) as discussed by the authors is a broad and widely applied theory of motivation, personality development, and wellness, which began with a narrow focus on intrinsic motivation but has expanded over time to encompass both intrinsic and extrinsic motivations.
Journal ArticleDOI

Significant Work Is About Self-Realization and Broader Purpose: Defining the Key Dimensions of Meaningful Work

TL;DR: It is argued that meaningfulness in the broadest sense is about work significance as an overall evaluation of work as regards whether it is intrinsically valuable and worth doing.
Book ChapterDOI

Seeking Stability in Stormy Educational Times: A Need-based Perspective on (De)motivating Teaching Grounded in Self-determination Theory

TL;DR: In this paper, the authors argue that teachers need more than a checklist of motivating practices to adopt a motivating role in today's ever-changing, even stormy, educational landscape, teachers need a fundamental theoretical perspective that can serve as a general source of inspiration for their everyday classroom practices across various situations and in interaction with different students.
References
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Journal ArticleDOI

Development and validation of brief measures of positive and negative affect: The PANAS scales.

TL;DR: Two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS) are developed and are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period.
Book

Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach

TL;DR: In this paper, the authors present a discussion of whether, if, how, and when a moderate mediator can be used to moderate another variable's effect in a conditional process analysis.
Book

Hierarchical Linear Models: Applications and Data Analysis Methods

TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI

The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior

TL;DR: Self-Determination Theory (SDT) as mentioned in this paper maintains that an understanding of human motivation requires a consideration of innate psychological needs for competence, autonomy, and relatedness, emphasizing that needs specify the necessary conditions for psychological growth, integrity, and well-being.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
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