Measurement in Physical Education and Exercise Science最新文献

{"title":"Psychometric Properties of the French and German Versions of the Physical Self-Concept Questionnaire for Elementary School Children – Revised (PSCQ-C-R)","authors":"C. Maïano, Isabelle Thibault, D. Dreiskämper, Lena Henning, M. Tietjens, A. Aimé","doi":"10.1080/1091367X.2022.2129971","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2129971","url":null,"abstract":"ABSTRACT The present study sought to examine the psychometric properties of the French and German versions of the Physical Self-Concept Questionnaire for Elementary School Children – Revised (PSCQ-C-R). A sample of 519 children participated in this study. Of those, 197 were French-Canadian and 322 were German. Results support the factor validity and reliability of PSCQ-C-R across the overall sample and the French-Canadian and German samples. Subsequent analyses not only supported the weak, partial strong, and strict invariance of the PSCQ-C-R across samples, but also showed significant latent mean differences across samples. Moreover, analyses revealed a lack of differential item functioning as a function of age, body mass index, and sex between samples, as well as latent mean differences (that were invariant between samples) as a function of children’s age, body mass index, and sex. Finally, analyses confirmed the measurement invariance of the PSCQ-C-R over a nine-month period in the German sample.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"181 - 194"},"PeriodicalIF":2.1,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43844238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Initial Validity Evidence for Responses to the Newly Developed Well-Being Actions Self-Efficacy Scale from Adults with Obesity under an Exploratory Latent Variable Approach","authors":"Nicholas D. Myers, Seungmin Lee, André G. Bateman, Meredith Wekesser, Isaac Prilleltensky, Adam McMahon, Ahnalee M. Brincks","doi":"10.1080/1091367X.2022.2123243","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2123243","url":null,"abstract":"ABSTRACT The objective of this study was to provide initial validity evidence for responses to the newly developed Well-Being Actions Self-Efficacy (WBASE) scale from adults with obesity under an exploratory latent variable approach. Longitudinal data (Nbaseline = 667 and N30 days post-baseline = 550) from the Well-Being and Physical Activity study (ClinicalTrials.gov, identifier: NCT03194854), which deployed the Fun For Wellness (FFW) intervention, were analyzed. The a priori measurement model exhibited close fit to baseline data within an exploratory framework. Similarly, there was strong evidence for at least partial temporal measurement invariance for the a priori WBASE scale measurement model. Convergent (and divergent) correlations between concordant (and discordant) pairs of well-being actions scores at baseline and latent well-being actions self-efficacy factors at 30 days post-baseline were observed. There was mixed evidence for the effectiveness of the FFW intervention to exert a direct effect on latent well-being actions self-efficacy at 30 days post-baseline.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"151 - 170"},"PeriodicalIF":2.1,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43121265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability and Validity of Light-Intensity Physical Activity Scales in Adults: A Systematic Review","authors":"R. Tanaka, Kanako Yakushiji, Satomi Tanaka, Michihiro Tsubaki, K. Fujita","doi":"10.1080/1091367X.2022.2120356","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2120356","url":null,"abstract":"ABSTRACT This study aimed to review the validity and/or reliability of light-intensity physical activity (LPA) questionnaires and identify the most suitable questionnaires for measurement of LPA in adults. Following the PRISMA-P 2020 guidelines, we searched MEDLINE, PsycINFO, CINAHL, Scopus, Embase, and MedNar. Only studies that targeted adults ≥18 years old and used LPA measured by accelerometer and/or heart rate monitor as an objective criterion were included. The search resulted in 2748 article hits, from which we extracted 16 studies with 14 questionnaires. The 7-Day Sedentary and LPA Log and LPA Questionnaire were specifically designed for LPA measurement, and the Community Health Activities Model Program for Seniors physical activity self-report questionnaire scale has been revised for LPA measurement. These questionnaires had comparatively high reliability and validity in this review. Most studies contained methodological limitations such as test-retest period. In the future, more accurate reliability/validity studies should be conducted for each questionnaire.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"136 - 150"},"PeriodicalIF":2.1,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48540076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking Vertical Jump and Standing Broad Jump Tests: A Testing Equating Application","authors":"Weimo Zhu, Daniel Konishi, G. Welk, M. Mahar, K. Laurson, K. Janz, F. Baptista","doi":"10.1080/1091367X.2022.2112683","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2112683","url":null,"abstract":"ABSTRACT This study evaluated test-equating methods to enable comparisons and conversions between the vertical jump (VJ) and standing long jump (SLJ) tests. A total of 528 youth (280 males) performed VJ and SLJ, and their scores were randomly split as the calibration (C) sample (n = 478) and cross-validation (CV) sample (n = 50). SLJ scores of the C sample were equated to the scale of VJ using linear and equipercentile equating, and established conversion between the tests was applied to SLJ scores of the CV sample. Overall, the correlations between VJ and equated VJ were moderately high to high and the absolute differences were small in both C and CV samples. There was little difference between the equating methods, but the results of the equipercentile method were used because it could provide a more robust conversion in theory. The conversion should be further crossly validated with large, more diverse samples.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"335 - 343"},"PeriodicalIF":2.1,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43783802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-segmented Physical Activity Patterns of Brazilian Adolescents: Within- and Between-day Variability","authors":"M. Lopes, Bruno G. G. da Costa, L. Malheiros, H. Carvalho, I. Crochemore-Silva, K. Silva","doi":"10.1080/1091367X.2022.2102924","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2102924","url":null,"abstract":"ABSTRACT This study examined the within- and between-day variability of time-segmented sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) in adolescents. The sample comprised 154 adolescents (11–16 years old) from two public schools in Florianópolis, Brazil. The proportion of time spent in SB, LPA, and MVPA was measured using Actigraph GT3X+ accelerometers for the following weekday time segments: before school (07:00–07:59), school time (08:00–11:59), after school (12:00–12:59), afternoons (13:00–17:59), and evenings (18:00–23:00). Participants were more active during commuting-related time segments. Females showed lower MVPA than males during school time, afternoons, and evenings, but not before school and after school. Higher age was associated with higher SB and lower LPA during school time, afternoons, and evenings, and slightly lower MVPA during afternoons. The variability of SB, LPA, and MVPA for all time segments was mainly explained by within-participant day-to-day variations rather than between-participant differences of daily-averaged estimates.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"125 - 135"},"PeriodicalIF":2.1,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48162590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining the FitnessGram with criterion-referenced Standards for Musculoskeletal Fitness","authors":"H. Macdonald, Minsoo Kang","doi":"10.1080/1091367X.2022.2100222","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2100222","url":null,"abstract":"In the four decades since the Cooper Institute first developed FitnessGram, research, evaluation, validation, and program enhancement by the Scientific Advisory Board (SAB, https://fitnessgram.net/advisory-board/) have made FitnessGram “the most trusted and widely used fitness assessment, education, and reporting tool in the world” (Plowman et al., 2006; The Cooper Institute, 2022). The sustained commitment by the SAB to science-informed practice including use of criterionreferenced standards based on health outcomes (instead of performance indicators or normative data) has led to refinements in fitness assessments and standards including those for aerobic capacity and body composition (Welk et al., 2011). With the release of the Institute of Medicine’s (IOM) seminal report “Fitness Measures and Health Outcomes in Youth” in 2012, the SAB and The Cooper Institute acknowledged the need to review the FitnessGram musculoskeletal fitness assessments. Specifically, the SAB developed a comprehensive plan to establish and evaluate health-related fitness standards for musculoskeletal fitness. The FitnessGram battery historically included field-based assessments of muscle strength and endurance (i.e., curl-up, push-up, and trunk lift) and flexibility (i.e., back-save sit and reach), but evidence was lacking to support the utility of criterion-referenced health standards for these outcomes. Thus, in this special issue of MPEES, SAB researchers, and colleagues present their findings from a foundational series of studies that aim to fill knowledge gaps related to musculoskeletal fitness assessments in youth. In the first paper, Welk et al. (2022) review and summarize the concepts, approaches, and considerations used by the SAB to explore the development of criterion-referenced standards for musculoskeletal fitness in youth. The authors first outline their conceptual model of health-related fitness and musculoskeletal fitness, with the latter defined as per the IOM as a multidimensional construct encompassing the integrated function of muscle strength, muscle endurance, and muscle power (Institute of Medicine, 2012). The SAB’s model for musculoskeletal fitness guided selection of fitness tests to represent the upper (i.e., grip strength) and lower body (i.e., vertical and long jump) and core (i.e., plank test), with the acknowledgment that one single measure cannot capture this complex construct. As mentioned, criterion-referenced health standards are a foundational and unique element of FitnessGram (Cureton & Warren, 1990; Plowman et al., 2006; Zhu et al., 2011), and the SAB adhered to their established methods when developing standards for musculoskeletal fitness. The process first involves modeling age and sex effects using the Lambda Mu Sigma (LMS) procedures (described in detail elsewhere (Cole, 1990; Cole & Green, 1992)), which are used in three papers in this special issue (Laurson et al., 2022a, 2022b, 2021). Development of LMS curves is followed by re","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"267 - 275"},"PeriodicalIF":2.1,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42946393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Part of the Team: The Social Identity Questionnaire for Sport Parents (SIQS-P)","authors":"Jordan T. Sutcliffe, Alex J. Benson, Colin D. McLaren, Mark W Bruner","doi":"10.1080/1091367x.2022.2092740","DOIUrl":"https://doi.org/10.1080/1091367x.2022.2092740","url":null,"abstract":"Drawing from theory of the multidimensional nature of social identity, the purpose of this study was to assess an adapted measure of social identity in sport that captures the extent to which paren...","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"19 11","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agreement of a Portable Motion Capture System to Analyze Movement Skills in Children","authors":"Nicholas Lerma, H. Gulgin","doi":"10.1080/1091367X.2022.2088290","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2088290","url":null,"abstract":"ABSTRACT This study evaluated the agreement between Kinect V2 with AssessLink and Vicon motion capture systems in children performing the vertical jump (JL) and forward leap (Leap). Eighteen healthy children (5–17 years) performed the movements while recorded simultaneously by both motion capture systems. Spearman correlation (ρ) and Bland-Altman were used to determine joint angle agreement. Overall, agreement varied by body segment, movement type, and phase. JL for knees and shoulder ranged from ρ = −.220 to .543; bias = 8.1 to 23.0° and ρ = −.743 to .410; bias = 8.1 to 56.5°, respectively. Leap had poorer correlation and bias for the appendicular segments (ρ = −.091 to .306; bias = −47.5 to 73.7°) than axial segments (ρ = .345 to .553; bias = 11.3 to 22.9°). The Kinect V2 should not replace criterion kinematic systems, but may improve gross motor assessment methods when selecting for specific movement observations.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"105 - 113"},"PeriodicalIF":2.1,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44296742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Accelerometers to Detect Activity Type in a Sport Setting: Challenges with Using Multiple Types of Conventional Machine Learning Approaches","authors":"K. Pfeiffer, C. Lisee, Bradford S. Westgate, Cheyenne Kalfsbeek, C. Kuenze, D. Bell, L. Cadmus-Bertram, Alexander Montoye","doi":"10.1080/1091367X.2022.2069467","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2069467","url":null,"abstract":"ABSTRACT A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19–33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid lateral movements). Participants wore an accelerometer on their right hip. Multiple machine learning models were developed and compared for predicting PA type. Most models underestimated time spent completing the activities performed least commonly. Point estimates for percent agreement, sensitivity, specificity, F-scores, and kappa were similar across models, with Hidden Markov Models (HMMs) being best at classifying rare events. Models detected activity type during sport-related movements with modest accuracy (kappas ≤ .40). Given the better performance of HMMs, incorporating the temporal nature of sport-related activities is important for improving sport-related PA classification.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"60 - 72"},"PeriodicalIF":2.1,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46589475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking MIMS with ActiGraph Count: An Equating Study","authors":"Xiong Qin, Weimo Zhu, Lin Zhu, Jing-xin Liu, Jing Liao","doi":"10.1080/1091367X.2022.2072688","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2072688","url":null,"abstract":"ABSTRACT To convert accelerometer-based devices onto the same scale, a platform called Monitor-Independent Movement Summary (MIMS) was created and used in national studies. Yet, its physical activity (PA) intensity cutoff scores have not been established, making it less useful. This study was to link MIMS with the ActiGraph Count, known as “the Count,” using the test-equating method. A total of 81 obese participants aged 10–17 years old (male = 56%) were recruited to perform one-minute warm-ups and walking or running at different speeds with ActiGraph on hips. Data with corresponding Count and MIMS were split into training (n = 65, male = 54%) and testing samples (n = 16, male = 63%). Linear and equipercentile equating were applied to the training sample to equate MIMS onto Count, creating MIMS-equated Count (MIMS-EQ-Count), a new MIMS-based unit. High correlation (≥.84), high agreements (>.7) and kappas (mostly >.5) between MIMS-EQ-Count and the Count in both training and testing samples under both linear and equipercentile methods. Equipercentile was the best equating method because of smaller standard errors. Yielded from equipercentile equating, a table linking MIMS and MIMS-EQ-Count was constructed, from which MIMS was linked and cross-validated with the well-studied Count. MIMS can now use the rich information accumulated for the Count of ActiGraph.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"97 - 104"},"PeriodicalIF":2.1,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46550094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}