TY - JOUR
T1 - The effectiveness of psychological skills training and behavioral interventions in sport using single-case designs
T2 - A meta regression analysis of the peer-reviewed studies
AU - Barker, Jamie B.
AU - Slater, Matthew J.
AU - Pugh, Geoff
AU - Mellalieu, Stephen D.
AU - McCarthy, Paul J.
AU - Jones, Marc V.
AU - Moran, Aidan
N1 - Publisher Copyright:
© 2020
PY - 2020/9/2
Y1 - 2020/9/2
N2 - We used a novel meta regression analysis approach principles to examine the effectiveness of psychological skills training and behavioral interventions in sport assessed using single-case experimental designs (SCEDs). One hundred and twenty-one papers met the inclusion criteria applied to eight database searches and key sport psychology journals. Seventy-one studies reported sufficient detail for effect sizes to be calculated for the effects of psychological skills training on psychological, behavioral, and performance variables. The unconditional mean effect size for weighted (Δ = 2.40) and unweighted (Δ = 2.83) models suggested large improvements in psychological, behavioral, and performance outcomes associated with implementing cognitive-behavioral psychological skills training and behavioral interventions with a SCED. However, meta-regression analysis revealed important heterogeneities and sources of bias within this literature. First, studies using a group-based approach reported lower effect sizes compared to studies using single-case approaches. Second, the single-case studies, (over 90 per cent the effect sizes), revealed upwardly biased effect sizes arising from: (i) positive publication bias such that studies using lower numbers of baseline observations reported larger effects, while studies using larger numbers of baseline observations reported smaller – but still substantial – effects; (ii) not adopting a multiple baseline design; and (iii) not establishing procedural reliability. We recommend that future researchers using SCED's should consider these methodological issues.
AB - We used a novel meta regression analysis approach principles to examine the effectiveness of psychological skills training and behavioral interventions in sport assessed using single-case experimental designs (SCEDs). One hundred and twenty-one papers met the inclusion criteria applied to eight database searches and key sport psychology journals. Seventy-one studies reported sufficient detail for effect sizes to be calculated for the effects of psychological skills training on psychological, behavioral, and performance variables. The unconditional mean effect size for weighted (Δ = 2.40) and unweighted (Δ = 2.83) models suggested large improvements in psychological, behavioral, and performance outcomes associated with implementing cognitive-behavioral psychological skills training and behavioral interventions with a SCED. However, meta-regression analysis revealed important heterogeneities and sources of bias within this literature. First, studies using a group-based approach reported lower effect sizes compared to studies using single-case approaches. Second, the single-case studies, (over 90 per cent the effect sizes), revealed upwardly biased effect sizes arising from: (i) positive publication bias such that studies using lower numbers of baseline observations reported larger effects, while studies using larger numbers of baseline observations reported smaller – but still substantial – effects; (ii) not adopting a multiple baseline design; and (iii) not establishing procedural reliability. We recommend that future researchers using SCED's should consider these methodological issues.
KW - Applied sport psychology
KW - Meta Regression analysis
KW - Procedural reliability
KW - Psychological skills training
KW - Single-case experimental designs
UR - http://www.scopus.com/inward/record.url?scp=85090842034&partnerID=8YFLogxK
U2 - 10.1016/j.psychsport.2020.101746
DO - 10.1016/j.psychsport.2020.101746
M3 - Article
AN - SCOPUS:85090842034
SN - 1469-0292
VL - 51
JO - Psychology of Sport and Exercise
JF - Psychology of Sport and Exercise
M1 - 101746
ER -