Materialism, Spending, and Affect: An Event-Sampling Study of Marketplace Behavior and Its Affective Costs

Kirk Warren Brown; Tim Kasser; Richard M. Ryan; James Konow

doi:10.1007/s10902-015-9694-9

Back

Materialism, Spending, and Affect: An Event-Sampling Study of Marketplace Behavior and Its Affective Costs

Journal of Happiness Studies 17(6): 2277-2292

Article 2015 English

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2013

Numbers and Nerves:Toward an Affective Apprehension of Environmental Risk

Scott Slovic, Paul Slovic

Article2013

Changes in materialism, changes in psychological well-being: Evidence from three longitudinal studies and an intervention experiment

Tim Kasser, Katherine L. Rosenblum, Arnold J. Sameroff, Edward L. Deci, Christopher P. Niemiec, Richard M. Ryan, Osp Árnadóttir, Rod Bond, Helga Dittmar, Nathan Dungan, Susan Hawks

Motivation and Emotion

Chapter in a book2018

Application Marketplace Malware Detection by User Feedback Analysis

Tal Hadad, Rami Puzis, Bronislav Sidik, Nir Ofek, Lior Rokach

Article2018

Do Introverts Enjoy Solitude? An Investigation of Personality Predictors of Motivation for Spending Time Alone

Thuy-vy Thi Nguyen, Netta Weinstein, Richard M. Ryan

Article2024

Dynamic Event-Triggering Mechanism and Its Application to Dynamic Average Tracking

Tao Xu, Xiaojian Yi, Zhisheng Duan, Guanrong Chen, Guanghui Wen

IEEE Transactions on Automatic Control

Materialism, Spending, and Affect: An Event-Sampling Study of Marketplace Behavior and Its Affective Costs

Abstract

Discussion(0)

Related publications

Numbers and Nerves:Toward an Affective Apprehension of Environmental Risk

Changes in materialism, changes in psychological well-being: Evidence from three longitudinal studies and an intervention experiment

Application Marketplace Malware Detection by User Feedback Analysis

Do Introverts Enjoy Solitude? An Investigation of Personality Predictors of Motivation for Spending Time Alone

Dynamic Event-Triggering Mechanism and Its Application to Dynamic Average Tracking