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Bruce Thompson

The milestones in the movement of the field away from emphasizing p values, and toward emphasizing effect size reporting, are reviewed. The primer also briefly introduces the effect size types and recommends a few effect size usage and interpretation guidelines that journals and authors should follow.

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Jeffrey Martin and Drew Martin

detect small to moderate effect sizes. The earlier suggestion, that research published in APAQ is based on small samples resulting in underpowered research, however, is a subjective assessment. Hence, to address this shortcoming, the first purpose of this research report was to examine the median

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Oluwaseyi Osho, Oluwatoyosi Owoeye, and Susan Armijo-Olivo

, & Haines, 2013 ; Nyman & Victor, 2012 ; Simek, McPhate, & Haines 2012 ). To quantify the effectiveness of a FPEP, the effect size is particularly valuable; it allows relative comparison between the intervention and control groups in a randomized controlled trial (RCT) ( Robert, 2002 ). It is a simple way

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Cigdem Ayhan Kuru, Ozgun Uysal, Nur Banu Karaca, Zeliha Akar, Egemen Ayhan, and Ilhami Kuru

by evaluating the change in a measure following a treatment. The change can be assessed using a repeated measures design, where patients are assessed before and after a treatment. Effect size statistics is used to analyze the magnitude of change in the measure, which has been widely recommended for

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Alexander Jansson, Gunilla Brun Sundblad, Suzanne Lundvall, Daniel Bjärsholm, and Johan R. Norberg

PE—such as swimming and outdoor life activities (see Engström, 2008 ; Säfvenbom et al., 2015 ). Second, few studies adopt a recommended methodical approach, namely, to analyze and report effect size (see Cohen, 1988 , 1990 ). The term effect size refers to a standardized value that provides

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Mark B. Andersen, Penny McCullagh, and Gabriel J. Wilson

Many of the measurements used in sport psychology research are arbitrary metrics, and researchers often cannot make the jump from scores on paper-and-pencil tests to what those scores actually mean in terms of real-world behaviors. Effect sizes for behavioral data are often interpretable, but the meaning of a small, medium, or large effect for an arbitrary metric is elusive. We reviewed all the issues in the 2005 volumes of the Journal of Sport and Exercise Psychology, The Sport Psychologist, and the Journal of Applied Sport Psychology to determine whether the arbitrary metrics used in sport psychology research were interpreted, or calibrated, against real-world variables. Of the 54 studies that used quantitative methods, 25 reported only paper-and-pencil arbitrary metrics with no connections to behavior or other real-world variables. Also, 44 of the 54 studies reported effect sizes, but only 7 studies, using both arbitrary and behavioral metrics, had calculated effect indicators and interpreted them in terms of real-world meaning.

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Philippe Terrier and Fabienne Reynard

Local dynamic stability (stability) quantifies how a system responds to small perturbations. Several experimental and clinical findings have highlighted the association between gait stability and fall risk. Walking without shoes is known to slightly modify gait parameters. Barefoot walking may cause unusual sensory feedback to individuals accustomed to shod walking, and this may affect stability. The objective was therefore to compare the stability of shod and barefoot walking in healthy individuals and to analyze the intrasession repeatability. Forty participants traversed a 70 m indoor corridor wearing normal shoes in one trial and walking barefoot in a second trial. Trunk accelerations were recorded with a 3D-accelerometer attached to the lower back. The stability was computed using the finite-time maximal Lyapunov exponent method. Absolute agreement between the forward and backward paths was estimated with the intraclass correlation coefficient (ICC). Barefoot walking did not significantly modify the stability as compared with shod walking (average standardized effect size: +0.11). The intrasession repeatability was high (ICC: 0.73–0.81) and slightly higher in barefoot walking condition (ICC: 0.81–0.87). Therefore, it seems that barefoot walking can be used to evaluate stability without introducing a bias as compared with shod walking, and with a sufficient reliability.

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Michele A. Parker and Bruce M. Gansneder

Column-editor : Michael G. Dolan

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Chunmei Cao, Yu Liu, Weimo Zhu, and Jiangjun Ma

Background:

Recently developed active workstation could become a potential means for worksite physical activity and wellness promotion. The aim of this review was to quantitatively examine the effectiveness of active workstation in energy expenditure and job performance.

Methods:

The literature search was conducted in 6 databases (PubMed, SPORTDiscuss, Web of Science, ProQuest, ScienceDirect, and Scopuse) for articles published up to February 2014, from which a systematic review and meta-analysis was conducted.

Results:

The cumulative analysis for EE showed there was significant increase in EE using active workstation [mean effect size (MES): 1.47; 95% confidence interval (CI): 1.22 to 1.72, P < .0001]. Results from job performance indicated 2 findings: (1) active workstation did not affect selective attention, processing speed, speech quality, reading comprehension, interpretation and accuracy of transcription; and (2) it could decrease the efficiency of typing speed (MES: –0.55; CI: –0.88 to –0.21, P < .001) and mouse clicking (MES: –1.10; CI: –1.29 to –0.92, P < .001).

Conclusion:

Active workstation could significantly increase daily PA and be potentially useful in reducing workplace sedentariness. Although some parts of job performance were significantly lower, others were not. As a result there was little effect on real-life work productivity if we made a good arrangement of job tasks.

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Poliana Alves de Oliveira, Juscelino Castro Blasczyk, Gerson Souza Junior, Karina Ferreira Lagoa, Milene Soares, Ricardo Jacó de Oliveira, Paulo José Barbosa Gutierres Filho, Rodrigo Luiz Carregaro, and Wagner Rodrigues Martins

Background:

Elastic Resistance Exercise (ERE) has already demonstrated its effectiveness in older adults and, when combined with the resistance generated by fixed loads, in adults. This review summarizes the effectiveness of ERE performed as isolated method on muscle strength and functional performance in healthy adults.

Methods:

A database search was performed (MEDLine, Cochrane Library, PEDro and Web of Knowledge) to identify controlled clinical trials in English language. The mean difference (MD) with 95% confidence intervals (CIs) and overall effect size were calculated for all comparisons. The PEDro scale was used assess the methodological quality.

Results:

From the 93 articles identified by the search strategy, 5 met the inclusion criteria, in which 3 presented high quality (PEDro > 6). Meta-analyses demonstrated that the effects of ERE were superior when compared with passive control on functional performance and muscle strength. When compared with active controls, the effect of ERE was inferior on function performance and with similar effect on muscle strength.

Conclusion:

ERE are effective to improve functional performance and muscle strength when compared with no intervention, in healthy adults. ERE are not superior to other methods of resistance training to improve functional performance and muscle strength in health adults.