Pub Date : 2023-02-01DOI: 10.1080/1091367X.2023.2171294
K. Kim, Senyung Lee
ABSTRACT The purpose of the study is to validate the 54-item Fitness Switching Costs Scale (FSCS). The FSCS consists of a third-order formative construct with four second-order formative constructs and 11 first-order reflective constructs. Although there was support for the reliability and validity of higher-order constructs, validity of the 11 first-order subscales has not been systematically investigated. Study 1 (n = 441) evaluates the factor structure of the first-order subscales using exploratory factor analysis and ensures the factorial validity of the subscales. Study 2 (n = 415) examines the measurement precision of the 11 first-order subscales using item response theory and shows high levels of measurement precision, while identifying some areas for improvement at the item level. Overall, the findings suggest that health and fitness researchers and practitioners can use the FSCS as a diagnostic tool to identify areas for a potential investment.
{"title":"Validation of Fitness Switching Costs Scale (FSCS): Examining the Factor Structure and Measurement Precision","authors":"K. Kim, Senyung Lee","doi":"10.1080/1091367X.2023.2171294","DOIUrl":"https://doi.org/10.1080/1091367X.2023.2171294","url":null,"abstract":"ABSTRACT The purpose of the study is to validate the 54-item Fitness Switching Costs Scale (FSCS). The FSCS consists of a third-order formative construct with four second-order formative constructs and 11 first-order reflective constructs. Although there was support for the reliability and validity of higher-order constructs, validity of the 11 first-order subscales has not been systematically investigated. Study 1 (n = 441) evaluates the factor structure of the first-order subscales using exploratory factor analysis and ensures the factorial validity of the subscales. Study 2 (n = 415) examines the measurement precision of the 11 first-order subscales using item response theory and shows high levels of measurement precision, while identifying some areas for improvement at the item level. Overall, the findings suggest that health and fitness researchers and practitioners can use the FSCS as a diagnostic tool to identify areas for a potential investment.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"257 - 268"},"PeriodicalIF":2.1,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44026923","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}
Pub Date : 2023-02-01DOI: 10.1080/1091367X.2023.2172682
atie R. Hirsch, M. Blue, A. Smith‐Ryan
ABSTRACT Impedance (Z), resistance (R), reactance (Xc), and phase angle (PhA) are sensitive to shifts in fluid between intra- and extracellular compartments, as would occur with nutrient uptake into skeletal muscle, but remains largely unexplored. To explore the sensitivity of whole-body and segmental (arms, legs, trunk) bioimpedance to acute feeding, 27 young adults completed three feeding conditions on separate occasions in randomized, cross-over design [high-carbohydrate (CHO), high-protein (PRO), fasted (FAST); standardized for fluid]. Bioimpedance was completed one-hour post-meal. Differences between feeding conditions at 5, 50, 250 kHz were evaluated. At 5 kHz, whole-body Xc and PhA were significantly different with CHO (p = .017), but not PRO (p = .152), compared to FAST; there were no significant differences at 50 or 250 kHz (p > .05). Segmental bioimpedance was significantly different with CHO and PRO compared to FAST [5 kHz: (Arms: Z, R, Xc,PhA; Trunk: Z, R; p ≤ .002), 50 kHz:(Arms: Z, R, Xc; Trunk: Z, R, Xc; p < .02), 250 kHz:(Arms: Z, R; Trunk: Z, R; Legs: PhA; p ≤ .009)]. Results suggest segmental bioimpedance at 5 kHz is sensitive to acute nutrition. Further exploration is warranted.
{"title":"Sensitivity of Raw Bioimpedance Values to Acute Feeding in Healthy Young Adults: Potential Utility for Application","authors":"atie R. Hirsch, M. Blue, A. Smith‐Ryan","doi":"10.1080/1091367X.2023.2172682","DOIUrl":"https://doi.org/10.1080/1091367X.2023.2172682","url":null,"abstract":"ABSTRACT Impedance (Z), resistance (R), reactance (Xc), and phase angle (PhA) are sensitive to shifts in fluid between intra- and extracellular compartments, as would occur with nutrient uptake into skeletal muscle, but remains largely unexplored. To explore the sensitivity of whole-body and segmental (arms, legs, trunk) bioimpedance to acute feeding, 27 young adults completed three feeding conditions on separate occasions in randomized, cross-over design [high-carbohydrate (CHO), high-protein (PRO), fasted (FAST); standardized for fluid]. Bioimpedance was completed one-hour post-meal. Differences between feeding conditions at 5, 50, 250 kHz were evaluated. At 5 kHz, whole-body Xc and PhA were significantly different with CHO (p = .017), but not PRO (p = .152), compared to FAST; there were no significant differences at 50 or 250 kHz (p > .05). Segmental bioimpedance was significantly different with CHO and PRO compared to FAST [5 kHz: (Arms: Z, R, Xc,PhA; Trunk: Z, R; p ≤ .002), 50 kHz:(Arms: Z, R, Xc; Trunk: Z, R, Xc; p < .02), 250 kHz:(Arms: Z, R; Trunk: Z, R; Legs: PhA; p ≤ .009)]. Results suggest segmental bioimpedance at 5 kHz is sensitive to acute nutrition. Further exploration is warranted.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"283 - 291"},"PeriodicalIF":2.1,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49666736","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}
Pub Date : 2023-01-02DOI: 10.1080/1091367X.2022.2034164
C. Maïano, A. Morin, M. Tietjens, T. Bastos, M. Luiggi, R. Corredeira, J. Griffet, D. Sánchez-Oliva
ABSTRACT The present study sought to examine the psychometric properties of new German, Portuguese, and Spanish versions of the Revised Short Form of the Physical Self-Inventory (PSI-S-R), and to contrast these properties against those from the original French version of this instrument. Participants (n = 1802) were 288 French youth, 177 German youth, 848 Portuguese youths and 489 Spanish youth. Results from exploratory structural equation modeling (ESEM) analyses supported the factor validity and reliability of PSI-S-R across the overall sample and each linguistic sample. Subsequent analyses supported the weak, partial strong, and strict invariance of this measure, and revealed a lack of differential item functioning (i.e., measurement bias) as a function of age, body mass index, sex and sport involvement across all linguistic versions. However, latent mean differences were observed as a function of these predictors and countries.
{"title":"German, Portuguese and Spanish Versions of the Revised Short Form of the Physical Self-Inventory (PSI-S-R)","authors":"C. Maïano, A. Morin, M. Tietjens, T. Bastos, M. Luiggi, R. Corredeira, J. Griffet, D. Sánchez-Oliva","doi":"10.1080/1091367X.2022.2034164","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2034164","url":null,"abstract":"ABSTRACT The present study sought to examine the psychometric properties of new German, Portuguese, and Spanish versions of the Revised Short Form of the Physical Self-Inventory (PSI-S-R), and to contrast these properties against those from the original French version of this instrument. Participants (n = 1802) were 288 French youth, 177 German youth, 848 Portuguese youths and 489 Spanish youth. Results from exploratory structural equation modeling (ESEM) analyses supported the factor validity and reliability of PSI-S-R across the overall sample and each linguistic sample. Subsequent analyses supported the weak, partial strong, and strict invariance of this measure, and revealed a lack of differential item functioning (i.e., measurement bias) as a function of age, body mass index, sex and sport involvement across all linguistic versions. However, latent mean differences were observed as a function of these predictors and countries.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"10 - 20"},"PeriodicalIF":2.1,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44236229","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}
Pub Date : 2023-01-01Epub Date: 2022-09-19DOI: 10.1080/1091367x.2022.2125319
Michael D Schmidt, Stephen L Rathbun, Zhixuan Chu, Benjamin D Boudreaux, Lindsay Hahn, Eric Novotny, Kyle Johnsen, Sun Joo Grace Ahn
Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to the ActiGraph. Fitbit and ActiGraph intensity-specific estimates were closest for sedentary and light PA while estimates of moderate and vigorous PA varied substantially depending upon the ActiGraph cut-points used. Spearman correlations between device estimates were higher for steps (rs=.70) than for moderate (rs =.54 to .55) or vigorous (rs =.29 to .48) PA. There was low concordance between devices in assessing PA changes over time. Agreement between Fitbit Flex 2 and ActiGraph estimates may depend upon the cut-points used to classify PA intensity. However, there is fair to good agreement between devices in ranking children's steps and MVPA.
{"title":"Agreement between Fitbit and ActiGraph Estimates of Physical Activity in Young Children.","authors":"Michael D Schmidt, Stephen L Rathbun, Zhixuan Chu, Benjamin D Boudreaux, Lindsay Hahn, Eric Novotny, Kyle Johnsen, Sun Joo Grace Ahn","doi":"10.1080/1091367x.2022.2125319","DOIUrl":"10.1080/1091367x.2022.2125319","url":null,"abstract":"<p><p>Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to the ActiGraph. Fitbit and ActiGraph intensity-specific estimates were closest for sedentary and light PA while estimates of moderate and vigorous PA varied substantially depending upon the ActiGraph cut-points used. Spearman correlations between device estimates were higher for steps (<i>r</i><sub><i>s</i></sub>=.70) than for moderate (<i>r</i><sub><i>s</i></sub> =.54 to .55) or vigorous (<i>r</i><sub><i>s</i></sub> =.29 to .48) PA. There was low concordance between devices in assessing PA changes over time. Agreement between Fitbit Flex 2 and ActiGraph estimates may depend upon the cut-points used to classify PA intensity. However, there is fair to good agreement between devices in ranking children's steps and MVPA.</p>","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 2","pages":"171-180"},"PeriodicalIF":2.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9726326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.1080/1091367X.2022.2161820
J. Merrigan, J. Stovall, J. Stone, M. Stephenson, V. Finomore, Joshua A. Hagen
ABSTRACT Heart rate samples (n = 4500–8000) from wearables were compared to electrocardiography during a steady-state ruck (Ruck-S), maximal effort ruck (Ruck-M), submaximal cycle (Cycle), and Tabata Circuit. One device was worn at each location (wrist: Polar Grit-X, Garmin Fenix 6; chest-straps: Polar H10, Garmin HRM-Pro; armband: Polar Verity). Comparisons were made via percent error (MAPE) ≤5%, Concordance Correlation Coefficient (CCC), and ordinary least product regressions (OLP). H10 demonstrated strong agreement for all movements (MAPE = 1.28–3.40%, CCC = 0.93–0.99). During Ruck-S, Ruck-M, and Cycle, HRM-Pro (MAPE = 1.96–3.73%, CCC = 0.95–0.99) and Verity (MAPE = 1.84–5.36%, CCC = 0.98–0.99) demonstrated strong agreement. Fenix-6 demonstrated low MAPE (4.23–5.44%) and moderate to strong CCC (0.76–0.96) for Ruck-S, Ruck-M, and Cycle, while Grit-X had poor agreement (MAPE = 8.49–16.45%; CCC = 0.24–0.78). Tabata Circuit had the worst disagreement for all devices. Overall, chest straps and armbands demonstrated the strongest agreement, and should be worn when precise heart rate training is necessary.
{"title":"Validation of Garmin and Polar Devices for Continuous Heart Rate Monitoring During Common Training Movements in Tactical Populations","authors":"J. Merrigan, J. Stovall, J. Stone, M. Stephenson, V. Finomore, Joshua A. Hagen","doi":"10.1080/1091367X.2022.2161820","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2161820","url":null,"abstract":"ABSTRACT Heart rate samples (n = 4500–8000) from wearables were compared to electrocardiography during a steady-state ruck (Ruck-S), maximal effort ruck (Ruck-M), submaximal cycle (Cycle), and Tabata Circuit. One device was worn at each location (wrist: Polar Grit-X, Garmin Fenix 6; chest-straps: Polar H10, Garmin HRM-Pro; armband: Polar Verity). Comparisons were made via percent error (MAPE) ≤5%, Concordance Correlation Coefficient (CCC), and ordinary least product regressions (OLP). H10 demonstrated strong agreement for all movements (MAPE = 1.28–3.40%, CCC = 0.93–0.99). During Ruck-S, Ruck-M, and Cycle, HRM-Pro (MAPE = 1.96–3.73%, CCC = 0.95–0.99) and Verity (MAPE = 1.84–5.36%, CCC = 0.98–0.99) demonstrated strong agreement. Fenix-6 demonstrated low MAPE (4.23–5.44%) and moderate to strong CCC (0.76–0.96) for Ruck-S, Ruck-M, and Cycle, while Grit-X had poor agreement (MAPE = 8.49–16.45%; CCC = 0.24–0.78). Tabata Circuit had the worst disagreement for all devices. Overall, chest straps and armbands demonstrated the strongest agreement, and should be worn when precise heart rate training is necessary.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"234 - 247"},"PeriodicalIF":2.1,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47682017","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}
Pub Date : 2022-12-28DOI: 10.1080/1091367X.2022.2163398
Ž. Kozinc, Jernej Plesa
ABSTRACT Vertical jump height is a widely used variable in sport science and physical education. This narrative review summarizes various numerical methods used to calculate vertical jump height. In force plate technology, the jump height is most commonly calculated using the flight time (FT) or the takeoff velocity (TOV), which provide only the distance traveled in the air and neglect the center of mass (CoM) elevation before the jump. However, CoM is already elevated before the takeoff, mainly due to plantar flexion of the ankles. Double integration methods can be used to circumvent this issue. In field-based testing, the “heel lift constant” can be added to flight height to more accurately determine the jump height according to the biomechanical definition (the vertical difference in body’s CoM between standing position and the apex of the jump). A high degree of caution should be used when comparing the data from previous studies.
{"title":"Discrepancy Among Different Methods for Vertical Jump Height Determination and Its Implications for Field-Based Testing: A Narrative Review","authors":"Ž. Kozinc, Jernej Plesa","doi":"10.1080/1091367X.2022.2163398","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2163398","url":null,"abstract":"ABSTRACT Vertical jump height is a widely used variable in sport science and physical education. This narrative review summarizes various numerical methods used to calculate vertical jump height. In force plate technology, the jump height is most commonly calculated using the flight time (FT) or the takeoff velocity (TOV), which provide only the distance traveled in the air and neglect the center of mass (CoM) elevation before the jump. However, CoM is already elevated before the takeoff, mainly due to plantar flexion of the ankles. Double integration methods can be used to circumvent this issue. In field-based testing, the “heel lift constant” can be added to flight height to more accurately determine the jump height according to the biomechanical definition (the vertical difference in body’s CoM between standing position and the apex of the jump). A high degree of caution should be used when comparing the data from previous studies.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"248 - 256"},"PeriodicalIF":2.1,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47828557","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}
Pub Date : 2022-12-21DOI: 10.1080/1091367X.2022.2160254
Benjamin G. DeHondt, Samar A. Madi, Dorin Drignei, D. Buchan, Elise C. Brown
ABSTRACT Identification of cardiometabolic risk (CMR) in U.S. younger population by assessing muscular strength via handgrip (HG) dynamometry may aid in prevention efforts. Currently, no nationally representative HG cut-points are available for identifying increased CMR in U.S. adolescents or young adults. In this study, we propose normalized grip strength (NGS) cut-points for U.S. younger population CMR identification. National Health and Nutrition Examination Survey 2011–2012 and 2013–2014 data sets were used for analysis. A total of 1,033 participants (female [F], n = 498; male [M], n = 535) aged 12–24 years without current infection were included in analyses. The identified age- and sex-specific NGS cut-points are: M = 0.39 and F = 0.34 (age = 12–17 years), M = 0.45 and F = 0.34 (age = 18–24 years). These cut-points may be used in U.S. public health screening routines such as school- or community-based health-related fitness surveillance programs. Future work should use these cut-points in various samples to test their predictive utility for increased CMR.
通过握力(HG)测定仪评估肌肉力量来识别美国年轻人群的心脏代谢风险(CMR)可能有助于预防措施。目前，没有具有全国代表性的HG切点可用于识别美国青少年或年轻人CMR增加。在这项研究中，我们提出了归一化握力(NGS)切点，用于美国年轻人群CMR识别。采用2011-2012年和2013-2014年国家健康与营养检查调查数据集进行分析。共1033名受试者(女性[F]， n = 498;男性[M]， n = 535)，年龄12-24岁，目前无感染。确定的年龄和性别特异性NGS切点为:M = 0.39, F = 0.34(年龄= 12-17岁)，M = 0.45, F = 0.34(年龄= 18-24岁)。这些分界点可用于美国公共健康检查常规，如学校或社区健康健康监测项目。未来的工作应该在各种样本中使用这些切点来测试它们对CMR增加的预测效用。
{"title":"Handgrip Strength Cut-Points for Cardiometabolic Risk Identification in U.S. Younger Population","authors":"Benjamin G. DeHondt, Samar A. Madi, Dorin Drignei, D. Buchan, Elise C. Brown","doi":"10.1080/1091367X.2022.2160254","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2160254","url":null,"abstract":"ABSTRACT Identification of cardiometabolic risk (CMR) in U.S. younger population by assessing muscular strength via handgrip (HG) dynamometry may aid in prevention efforts. Currently, no nationally representative HG cut-points are available for identifying increased CMR in U.S. adolescents or young adults. In this study, we propose normalized grip strength (NGS) cut-points for U.S. younger population CMR identification. National Health and Nutrition Examination Survey 2011–2012 and 2013–2014 data sets were used for analysis. A total of 1,033 participants (female [F], n = 498; male [M], n = 535) aged 12–24 years without current infection were included in analyses. The identified age- and sex-specific NGS cut-points are: M = 0.39 and F = 0.34 (age = 12–17 years), M = 0.45 and F = 0.34 (age = 18–24 years). These cut-points may be used in U.S. public health screening routines such as school- or community-based health-related fitness surveillance programs. Future work should use these cut-points in various samples to test their predictive utility for increased CMR.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"224 - 233"},"PeriodicalIF":2.1,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42603166","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}
Pub Date : 2022-12-16DOI: 10.1080/1091367X.2022.2153595
Seungmin Lee, Nicholas D. Myers, André G. Bateman, Hae-Lee Chun, Isaac Prilleltensky, Adam McMahon, Ahnalee M. Brincks
ABSTRACT The objective of this study was to provide initial validity evidence for responses to the newly expanded version of the I COPPE Actions scale from adults with obesity under an exploratory latent variable approach. Longitudinal data from the 2018 Fun For Wellness Effectiveness Trial (ClinicalTrials.gov, identifier: NCT03194854) were reanalyzed in the current study. The a priori measurement theory specified a six-dimensional correlated structure of well-being actions to govern responses to the I COPPE Actions scale: Interpersonal, Occupational, Community, Physical, Psychological, and Economic. The a priori measurement model exhibited exact fit to well-being actions data at baseline within an exploratory latent variable approach. There was strong evidence for at least partial measurement invariance by time for responses to the scale. Convergent (or divergent) correlations between concordant (or discordant) pairs of well-being actions self-efficacy scores and latent well-being action factors provided strong evidence for hypothesized relationships to other theoretically relevant variables.
{"title":"Measuring Multidimensional Well-being Actions with the Newly Expanded Version of the I COPPE Actions Scale in Adults with Obesity","authors":"Seungmin Lee, Nicholas D. Myers, André G. Bateman, Hae-Lee Chun, Isaac Prilleltensky, Adam McMahon, Ahnalee M. Brincks","doi":"10.1080/1091367X.2022.2153595","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2153595","url":null,"abstract":"ABSTRACT The objective of this study was to provide initial validity evidence for responses to the newly expanded version of the I COPPE Actions scale from adults with obesity under an exploratory latent variable approach. Longitudinal data from the 2018 Fun For Wellness Effectiveness Trial (ClinicalTrials.gov, identifier: NCT03194854) were reanalyzed in the current study. The a priori measurement theory specified a six-dimensional correlated structure of well-being actions to govern responses to the I COPPE Actions scale: Interpersonal, Occupational, Community, Physical, Psychological, and Economic. The a priori measurement model exhibited exact fit to well-being actions data at baseline within an exploratory latent variable approach. There was strong evidence for at least partial measurement invariance by time for responses to the scale. Convergent (or divergent) correlations between concordant (or discordant) pairs of well-being actions self-efficacy scores and latent well-being action factors provided strong evidence for hypothesized relationships to other theoretically relevant variables.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"207 - 223"},"PeriodicalIF":2.1,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45703556","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}
Pub Date : 2022-11-22DOI: 10.1080/1091367X.2022.2146507
E. Royo, Santos Orejudo Hernández, Julio Latorre Peña, César Rodríguez Ledo
ABSTRACT This study analyzed the factorial structure of motor competence tests designed to evaluate motor development among adolescents, focusing on the two main dimensions of coordination and motor control. To this end, we randomly sampled 1,026 adolescents (45.3% males; 45.7% females, age 13.75 years, SD = 1.28). Participants completed the Multidimensional Sportcomp Motor Battery, which features ten motor competence tests. Results indicate that two factors grouped seven of the ten sub-tests related to upper body strength and skill related-fitness. The factorial structure remained stable across age and sex groups, with the exception of manual grip (grip strength) and 7 Meters with Feet Together (jumping) which may relate to a sex-specific evolutionary pattern for upper body force. The Flexibility, Equilibrium and Lateral Jumps tests were not grouped by this factor analysis on any established dimension. These results underscore the multidimensionality of physical factors that influence motor competence among adolescents.
{"title":"A Multimodal Analysis of Physical Factors that Influence Adolescents’ Motor Competence","authors":"E. Royo, Santos Orejudo Hernández, Julio Latorre Peña, César Rodríguez Ledo","doi":"10.1080/1091367X.2022.2146507","DOIUrl":"https://doi.org/10.1080/1091367X.2022.2146507","url":null,"abstract":"ABSTRACT This study analyzed the factorial structure of motor competence tests designed to evaluate motor development among adolescents, focusing on the two main dimensions of coordination and motor control. To this end, we randomly sampled 1,026 adolescents (45.3% males; 45.7% females, age 13.75 years, SD = 1.28). Participants completed the Multidimensional Sportcomp Motor Battery, which features ten motor competence tests. Results indicate that two factors grouped seven of the ten sub-tests related to upper body strength and skill related-fitness. The factorial structure remained stable across age and sex groups, with the exception of manual grip (grip strength) and 7 Meters with Feet Together (jumping) which may relate to a sex-specific evolutionary pattern for upper body force. The Flexibility, Equilibrium and Lateral Jumps tests were not grouped by this factor analysis on any established dimension. These results underscore the multidimensionality of physical factors that influence motor competence among adolescents.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"27 1","pages":"195 - 206"},"PeriodicalIF":2.1,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46856534","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}
Pub Date : 2022-10-04DOI: 10.1080/1091367X.2022.2129971
C. Maïano, Isabelle Thibault, D. Dreiskämper, Lena Henning, M. Tietjens, A. Aimé
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.
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