Sánchez Flor

Dr. Sánchez Flor

orcid

Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2015 in Psychological Bulletin
Verified
Journal Article
Closed access
KWKristina Wilson
Kristina Wilson
ISIbrahim Senay
Ibrahim Senay
MDMarta Durantini
Marta Durantini
SFSánchez Flor
Sánchez Flor
MHMichael Hennessy
Michael Hennessy
DADolores Albarracín
Dolores Albarracín
A meta-analysis of 150 research reports summarizing the results of multiple behavior domain interventions examined theoretical predictions about the effects of the included number of recommendations on behavioral and clinical change in the domains of smoking, diet, and physical activity. The meta-analysis yielded 3 main conclusions. First, there is a curvilinear relation between the number of behavioral recommendations and improvements in behavioral and clinical measures, with a moderate number of recommendations producing the highest level of change. A moderate number of recommendations is likely to be associated with stronger effects because the intervention ensures the necessary level of motivation to implement the recommended changes, thereby increasing compliance with the goals set by the intervention, without making the intervention excessively demanding. Second, this curve was more pronounced when samples were likely to have low motivation to change, such as when interventions were delivered to nonpatient (vs. patient) populations, were implemented in nonclinic (vs. clinic) settings, used lay community (vs. expert) facilitators, and involved group (vs. individual) delivery formats. Finally, change in behavioral outcomes mediated the effects of number of recommended behaviors on clinical change. These findings provide important insights that can help guide the design of effective multiple behavior domain interventions.

1 December 2015 in Journal of Work and Organizational Psychology
Verified
Journal Article
Open access
SCSilvia Cristina da Costa
Silvia Cristina da Costa
DPDarío Páez
Darío Páez
SFSánchez Flor
Sánchez Flor
MGMaite Garaigordobil
Maite Garaigordobil
SGSonia Gondim
Sonia Gondim
This article integrates seven meta-analyses of individual factors associated with creativity and innovation and reports effects based on one (r) or two or more (r¯) meta-analyses. Emotional intelligence (r=.31), divergent thinking (r¯ =.27), openness to experience (r¯ = .22), creative personality (r¯ = .21), intrinsic motivation (r¯ = .20), positive affect (r¯ = .19), and androgyny (r = .19) are related to creativity. Age (r=.17), intelligence (r¯ = .17), extraversion (r¯ = .13), self-efficacy (r¯ = .13), and extrinsic motivation (r=.11) were also moderately associated with innovation. Pro-risk attitudes (r = .08) and being female (r=.07) were weakly associated with creativity. Results are discussed, explanatory processes described, and practical implications for organizations examined

1 November 2006 in Computers in Human Behavior
Verified
Journal Article
Closed access
PSPei-Chun Shih
Pei-Chun Shih
DMDolores Muñoz
Dolores Muñoz
SFSánchez Flor
Sánchez Flor

1 September 1997 in Journal of Nonverbal Behavior
Verified
Journal Article
Closed access
PDF file
JFJosé-Miguel Fernández-Dols
José-Miguel Fernández-Dols
SFSánchez Flor
Sánchez Flor
PCPilar Carrera
Pilar Carrera
MRMaria-Angeles Ruiz-Belda
Maria-Angeles Ruiz-Belda

1 January 1991 in Journal of Nonverbal Behavior
Verified
Journal Article
Closed access
PDF file
HWHarald Wallbott
Harald Wallbott
SFSánchez Flor
Sánchez Flor
JFJose-Miguel Fernández-Dols
Jose-Miguel Fernández-Dols

12 September 2017 in Health Psychology Review
Verified
Journal Article
Closed access
DADolores Albarracín
Dolores Albarracín
KWKristina Wilson
Kristina Wilson
MCMan-Pui Sally Chan
Man-Pui Sally Chan
MDMarta Durantini
Marta Durantini
SFSánchez Flor
Sánchez Flor
This meta-analysis examined theoretical predictions about the effects of different combinations of action (e.g., start an exercise regime) and of inaction (e.g., reduce screen time, rest in between weight lifting series) recommendations in smoking, diet, and physical activity multiple-domain interventions. The synthesis included 150 research reports of interventions promoting multiple behaviour domain change and measuring change at the most immediate follow-up. The main outcome measure was an indicator of overall change that combined behavioural and clinical effects. There were two main findings. First, as predicted, interventions produced the highest level of change when they included a predominance of recommendations along one behavioural dimension (i.e., predominantly inaction or predominantly action). Unexpectedly, within interventions with predominant action or inaction recommendations, those including predominantly inaction recommendations had greater efficacy than those including predominantly action recommendations. This effect, however, was limited to interventions in the diet and exercise domains, but reversed (greater efficacy for interventions with predominant action vs. inaction recommendations) in the smoking domain. These findings provide important insights on how to best combine recommendations when interventions target clusters of health behaviours.