Identifying the effects of social media on health behavior: Data from a large-scale online experiment

Data in Brief

Volumn 5, Issue , 2015, Pages 453-457

  Zhang, Jingwen ^a   Brackbill, Devon ^a   Yang, Sijia ^a   Centola, Damon ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS;

COST-EFFECTIVE SOLUTIONS; DATAFILES; DEMOGRAPHIC INFORMATION; HEALTH BEHAVIORS; LARGE-SCALES; MEDIA CAMPAIGNS; ON-LINE EXPERIMENTS; PEER NETWORK; RANDOMIZED CONTROLLED TRIAL; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

EID: 84944389578     PISSN: None     EISSN: 23523409     Source Type: Journal    
DOI: 10.1016/j.dib.2015.09.049     Document Type: DP

References (6)

1. Zhang J., Brackbill D., Yang S., Centola D. Efficacy and causal mechanism of an online social media intervention to increase physical activity: results of a randomized controlled trial. Prev. Med. Rep. 2015, 2:651-657.
2. Anderson C.A., Deuser W.E., DeNeve K.M. Hot temperatures, hostile affect, hostile cognition, and arousal: tests of a general model of affective aggression. Personal. Soc. Psychol. B 1995, 21:434-448.
3. Bradley M.M., Lang P.J. Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 1994, 25:49-59.
4. Zhao X., Strasser A., Cappella J.N., Lerman C., Fishbein M. A measure of perceived argument strength: reliability and validity. Commun. Methods Meas. 2011, 5:48-75.
5. Kang Y., Cappella J.N., Fishbein M. The attentional mechanism of message sensation value: interaction between message sensation value and argument quality on message effectiveness. Commun. Monogr. 2006, 73:351-378.
6. Centers for Disease Control and Prevention, 2001 National School-Based Youth Risk Behavior Survey, Public-Use Data Documentation, 2001,. ftp://ftp.cdc.gov/pub/data/yrbs/2001/YRBS_2001_National_User_Guide.pdf.