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BMJ Open. 2017 Jul 5;7(6):e017000. doi: 10.1136/bmjopen-2017-017000.

The relationship between time perspective and self-regulatory processes, abilities and outcomes: a protocol for a meta-analytical review.

Author information

1
Department of Psychology, University of Sheffield, Sheffield, UK.

Abstract

INTRODUCTION:

Both theoretical and empirical evidence suggests that time perspective is likely to influence self-regulatory processes and outcomes. Despite the theoretical and practical significance of such relations, the relationship between time perspective and self-regulatory processes and outcomes across different measures, samples and life domains, including health, has yet to be explored.

METHODS AND ANALYSIS:

The proposed review will develop a taxonomy for classifying measures according to the self-regulatory process, ability or outcome that they are likely to reflect. Electronic scientific databases will be searched, along with relevant conference abstract booklets and citation lists. Additionally, a call for unpublished data will be submitted to relevant bodies. To be eligible for inclusion, studies must include a measure of time perspective and a measure of at least one self-regulatory process, ability and/ or outcome. Eligibility will not be restricted by publication date, language, type of sample or setting. The bivariate correlations will be extracted (or calculated) and submitted to a random-effects meta-analysis. The sample-weighted average effect size, heterogeneity, risk of bias and publication bias will be calculated, and the effects of categorical and continuous moderator variables on the effect sizes will be determined.

ETHICS AND DISSEMINATION:

The proposed meta-analysis will synthesise previously conducted research; thus, ethical approval is not required. The findings will be submitted for publication in an international peer-reviewed journal and reported as part of the first author’s PhD thesis. The findings will also be disseminated to the research community and, where appropriate, to other interested parties through presentations at relevant academic and non-academic conferences.

KEYWORDS:

public health; research methods; statistics

PMID:
28679677
PMCID:
PMC5734364
DOI:
10.1136/bmjopen-2017-017000
[Indexed for MEDLINE]
Free PMC Article

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