scholarly journals Exercise and Self-Esteem: Validity of Model Expansion and Exercise Associations

1994 ◽  
Vol 16 (1) ◽  
pp. 29-42 ◽  
Author(s):  
Robert J. Sonstroem ◽  
Lisa L. Harlow ◽  
Lynn Josephs
Keyword(s):  
Physical Condition ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Fit Indices ◽  
Physical Competence ◽  
Root Mean Square Residual ◽  
Self Worth ◽  
General Physical ◽  
Fit Index

The purpose of this research was to test expansion of the Exercise and Self-Esteem Model (EXSEM) to include two levels of perceived physical competence as operationalized by the Physical Self-Perception Profile (PSPP). Female aerobic dancers (N = 216, age M = 38.4) were administered a Self-Esteem scale (SE), the PSPP to assess a general Physical Self-Worth (PSW), and more specific subdomains of perceived Sport Competence (Sport), Physical Condition (Cond), Attractive Body (Body), and Strength (Stren). Subjects also completed self-efficacy scales for jogging, sitting, and aerobic dancing. Confirmatory factor analysis supported model measurement as hypothesized, %2 = 1,154.88, df = 681, comparative fit index (CFI) = .913, root mean square residual (RMSR) = .047. Structural equation modeling (SEM) supported EXSEM component relationships as proposed. Further SEM associating two exercise self-reports with EXSEM again displayed satisfactory fit indices and explained up to 27.6% of exercise variance. It was concluded that exercise in adult female aerobic dancers is associated with positive evaluations of their physical condition and with negative evaluations of their bodies.

Cross-Lagged Relationships Between Self-Esteem, Self-Construal, and Happiness in a Three-Wave Longitudinal Study

2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc
Keyword(s):  
Structural Equation ◽  
Time Lag ◽  
Self Esteem ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Self Construal ◽  
Self Worth ◽  
Practical Implications ◽  
Independent Person

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.

The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes

2020 ◽  
Vol 42 (5) ◽  
pp. 368-385
Author(s):  
Scott Rathwell ◽  
Bradley W. Young ◽  
Bettina Callary ◽  
Derrik Motz ◽  
Matt D. Hoffmann ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Confirmatory Factor ◽  
Masters Athletes ◽  
Fit Index

Adult sportspersons (Masters athletes, aged 35 years and older) have unique coaching preferences. No existing resources provide coaches with feedback on their craft with Masters athletes. Three studies evaluated an Adult-Oriented Coaching Survey. Study 1 vetted the face validity of 50 survey items with 12 Masters coaches. Results supported the validity of 48 items. In Study 2, 383 Masters coaches completed the survey of 50 items. Confirmatory factor analysis and exploratory structural equation modeling indicated issues with model fit. Post hoc modifications improved fit, resulting in a 22-item, five-factor model. In Study 3, 467 Masters athletes responded to these 22 items reflecting perceptions of their coaches. Confirmatory factor analysis (comparative fit index = .951, standardized root mean square residual = .036, and root mean square error of approximation = .049) and exploratory structural equation modeling (comparative fit index = .977, standardized root mean square residual = .019, and root mean square error of approximation = .041) confirmed the model. The resultant Adult-Oriented Sport Coaching Survey provides a reliable and factorially valid instrument for measuring adult-oriented coaching practices.

Toward a Causally Informative Fit Index of Longitudinal Models: A Within-Study Design Approach

2021 ◽  
Author(s):  
Sirui Wan ◽  
Timothy R. Brick ◽  
Daniela Alvarez-Vargas ◽  
Drew H Bailey
Keyword(s):  
Study Design ◽  
Structural Equation ◽  
Design Approach ◽  
Equation Modeling ◽  
Fit Indices ◽  
Longitudinal Models ◽  
Math Interventions ◽  
Model Fit Indices ◽  
Fit Index

In structural equation modeling, plausible competing theories can imply similar or equivalent covariance matrices and thus show similar or identical model fit indices, despite making very different causal predictions. We propose a method for selecting among longitudinal models on the basis of causal information. We use a within-study design approach and present an index of causal fit for choosing among models on the basis of their fit with causally informative estimates, in cases in which research designs allow for strong causal estimates. We test for the usefulness and validity of the approach by applying it to data from three randomized controlled trials of early math interventions with longitudinal follow-up assessments. We find that, across datasets, some models consistently outperform other models at forecasting later experimental impacts, traditional fit indices are not strongly related to our index of causal fit, and models show consistent patterns of similarity and discrepancy between statistical fit and causal fit. A simulation study finds that when assumptions are met, the index of causal fit can recover the generating model at rates higher than those of statistical fit indices, and is less redundant with statistical fit indices than they are with each other. Results support the validity of our proposed approach and suggest that it can be useful for choosing among models.

scholarly journals Contingencies of Self-Worth and Global Self-Esteem Among College Women: The Role of Masculine and Feminine Traits Endorsement

2019 ◽  
Vol 14 (3) ◽  
Author(s):  
Eugenia Mandal ◽  
Marcin Moroń
Keyword(s):  
Family Support ◽  
Structural Equation ◽  
Physical Appearance ◽  
Self Esteem ◽  
Equation Modeling ◽  
God's Love ◽  
Self Worth ◽  
Academic Competencies ◽  
Predictive Role

The study examined the relative importance of seven contingencies of self-worth of Polish college women's (appearance, others' approval, competition, academic competencies, family support, virtue, God's love), as well as the associations between preference for particular contingencies and global self-esteem. Additionally, the predictive role of the self-assignment of masculine and feminine traits for both contingencies of self-worth and global self-esteem was investigated. The participants were one hundred and ninety-four Polish women in emerging adulthood (aged from 19 to 26; M = 21.36; SD = 1.67). Participants provided self-reports of self-ascription of masculine and feminine traits, the contingencies of self-worth, and self-esteem. Obtained results showed that the family support contingency of self-worth was the most preferred one, followed by virtue contingent self-worth, academic competencies, competition, and appearance contingencies of self-esteem, while the less preferred contingencies were: others' approval and God's love. Appearance and others’ approval contingencies of self-worth correlated negatively with self-esteem. Masculine traits were positively linked to competition contingency of self-worth, but negatively to physical appearance self-worth contingency and others’ approval self-worth contingency, whereas feminine traits were positively correlated with both physical appearance self-worth contingency and others’ approval self-worth contingency. The findings showed the positive associations between self-ascription of traits regarded to be masculine and self-esteem, and a lack of significant associations between self-description of feminine traits and self-esteem. Structural equation modeling demonstrated predictive role of masculine traits for self-esteem when feminine traits’ self-ascription and contingencies of self-worth were controlled.

scholarly journals Effects of Social Identity, Self-Esteem, Schooling, and Age on Hope [Efectos de la Identidad Social, la autoestima, la Escolaridad y la Edad sobre la esperanza]

2021 ◽  
Vol 17 (1) ◽  
pp. 61
Author(s):  
Cirilo Humberto Garcia ◽  
Leopoldo Daniel-González ◽  
Adrián Valle de la O ◽  
Héctor L. Diaz ◽  
Laura K. Castro ◽  
...  
Keyword(s):  
Social Identity ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Explanatory Power ◽  
Self Esteem ◽  
Primary Objective ◽  
Equation Modeling ◽  
Fit Indices ◽  
Explained Variance ◽  
Probabilistic Sample

AbstractThe primary objective of this study was to analyze the direct explanatory power of social identity, schooling, and age on self-esteem, as well as the indirect effects of those variables (through the mediating variable self-esteem) on hope. A non-probabilistic sample composed of 657 persons from southern Nuevo Leon was recruited (mean age = 39.75 years; SD = 16.96). Structural equation modeling was used to analyze the effects, both direct and indirect, of the independent variables upon the dependent variables. With regard to hope, the model yields an explained variance of 37% (d ≥ 26% = large effect size) and shows well goodness-of-fit indices: χ2 / df = 2.618, GFI = .997, AFGI = .978, CFI = .995, NNFI = .995, NFI = .992, RMSEA = .048 (IC90%, .001, .100), and SRMR = .017. It is concluded that social identity, together with some contextual variables of a personal nature (for instance, age and schooling) is probably very important to explain the levels of self-esteem and hopeResumenEl objetivo primario de este estudio fue analizar el poder explicativo de las variables identidad social, escolaridad y edad, directamente sobre la autoestima y los efectos indirectos de las tres primeras, a través de la autoestima, sobre la esperanza. Se realizó el estudio en una muestra no probabilística de 657 hombres y mujeres, con edad promedio de 39.75 años (DE = 16.96). Se usó modelamiento de ecuaciones estructurales para analizar los efectos, tanto directos como indirectos, de las variables independientes sobre las dependientes. Se encuentra que el modelo tiene una varianza explicada del 37% (d = ≥ 26% = tamaño del efecto grande) en esperanza, con buenos indicadores de bondad de ajuste: χ2/gl = 2.618; GFI = .997; AFGI = .978; CFI = .995; NNFI = .995; NFI = .992; RMSEA = .048 (IC90%, .000, .100), SRMR = .017. Se concluye que probablemente la identidad social, junto con algunas variables contextuales de tipo personal, como la edad y la escolaridad, es prioritaria para explicar la existencia de la autoestima y de la esperanza.

scholarly journals Erfassung der Emotionsregulation bei Jugendlichen anhand des „Affective Style Questionnaire – Youth (ASQ-Y)“

Diagnostica ◽  
2019 ◽  
Vol 65 (1) ◽  
pp. 49-59
Author(s):  
Johannes Graser ◽  
Christiane Heimlich ◽  
Augustin Kelava ◽  
Stefan G. Hofmann ◽  
Ulrich Stangier ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Root Mean Square Error ◽  
Root Mean Square ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mean Square ◽  
Affective Style ◽  
Root Mean Square Residual ◽  
Fit Index ◽  
Tucker Lewis Index

Zusammenfassung. Zur Erfassung der 3 Emotionsregulationsstrategien Unterdrücken, Anpassen / Neubewerten und Akzeptieren wurde der Affective Style Questionnaire für Jugendliche (ASQ-Y) adaptiert und an einer entsprechenden Stichprobe (N = 1 092) validiert. Die Dimensionalität des englischen Originalfragebogens und der deutschen Version für Erwachsene konnte auch für Jugendliche bestätigt werden. Während der Analyse kam das ESEM-Verfahren (Exploratory Structural Equation Modeling) zum Einsatz, die Kennwerte bewegten sich im akzeptablen bis sehr guten Bereich. Der Comparative Fit Index (CFI) erreichte einen akzeptablen Wert von .938, ebenso der Tucker–Lewis Index (TLI) mit einem Wert von .911. Der Root Mean Square Error of Approximation (RMSEA) lag bei einem sehr guten Wert von .050, das Standardized Root Mean Square Residual (SRMR) erreichte einen guten Wert von .030. Die internen Konsistenzen der 3 Skalen (Unterdrücken: α = .77; Anpassen / Neubewerten: α = .76; Akzeptieren: α = .76) erreichten (vergleichbar mit dem englischen Original und der deutschen Erwachsenenstichprobe) zufriedenstellende Werte. Die Subskalen zeigten hypothesenkonforme diskriminante und konvergente Zusammenhänge mit etablierten Verfahren des Forschungsbereichs Emotionsregulation, was für die Konstruktvalidität spricht. Insgesamt ist der ASQ-Y als Messinstrument zur Erfassung von verschiedenen Emotionsregulationsstrategien bei Jugendlichen geeignet und ökonomisch in seiner Anwendung. Der ASQ-Y kann in der Allgemeinbevölkerung und in der Prävention eingesetzt werden. Nach entsprechender Validierung ist der Einsatz auch im klinischen Setting möglich.

scholarly journals PENGARUH KEMANDIRIAN BELAJAR TERHADAP PRESTASI BELAJAR BAHASA INDONESIA PADA SISWA KELAS XI SMA DI KOTA DEPOK JAWA BARAT

2020 ◽  
Author(s):  
Mia Widianti
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Model Fit ◽  
Equation Modeling ◽  
Mean Square ◽  
Chi Square ◽  
Marginal Fit ◽  
Root Mean Square Residual ◽  
Fit Index ◽  
Bahasa Indonesia

Penelitian ini bertujuan untuk menguji teori dan model yang fit dengan data empiris mengenai masalah pengaruh kemandirian terhadap prestasi belajar Bahasa Indonesia kelas XI SMA Di Kota Depok Jawa Barat tahun ajaran 2015/2016. Metode yang digunakan penelitian ini adalah metode kuantitatif dengan pendekatan survey. Populasi penelitian adalah siswa SMA Negeri di Kota Depok Jawa Barat. Sampel penelitian ditentukan dengan teknik sampel acak proporsional sebanyak 306 siswa. Pengumpulan data menggunakan tes objektif dan kuesioner skala Model Likert. Data diperoleh berdasarkan kemampuan siswa menjawab soal Bahasa Indonesia dankemandirian dalam belajar. Analisis data menggunakan Structural Equation Modeling (SEM), dengan bantuan program aplikasi LISREL 8.80. Hasil penelitian dari 2 variabel laten dan 9 variabel kontruk yang cocok dengan model yang diusulkan, diperoleh dari uji hipotesis berdasarkan nilai GAMMA memiliki standar loading sebesar 0.68 error sebesar 0.05 nilai t-hitung sebesar 12.62 bila dikonsultasikan dengan nilai ttabel dengan jumlah sampel > 100 : α 0.05 maka diperoleh ttabel sebesar 1.96. karena thitung 12.62 > ttabel 1.96 maka dapat disimpulkan; kemandirian belajar berpengaruh secara signifikan terhadap prestasi belajar siswa mata pelajaran Bahasa Indonesia. Kemudian untuk uji kecocokan model, merujuk pada kecocokan model fit yang dapat diterima. Untuk nilai Chi-Square Probability sebesar 285.76 < 128. 8039 (good fit), RMSEA = root mean standar error apriximations sebesar 0.18 > 0.05 (marginal fit) Root Mean Square Residual (RMR) = 0.18 ≥ 0.08 (Good fit) Goodness of Fit Index (GFI) = 0.90 > 0.90 (good fit) Adjusted Goodness of Fit Index (AGFI) = 0. 90 > 0.90 (good fit) Parsimony Goodness of Fit Index (PGFI) = 0.35 > 0.05 (good fit) Non-Normed Fit Index (NNFI) = 0.95 > 0.90 (good fit) Comparative Fit Index (CFI) = 0.95 > 0.90 (good fit) Incremental Fit Index (IFI) = 0.95 > 0.90 Relative Fit Index (RFI) = 0.95 > 0.90

scholarly journals Understanding the Model Size Effect on SEM Fit Indices

2018 ◽  
Vol 79 (2) ◽  
pp. 310-334 ◽  
Author(s):  
Dexin Shi ◽  
Taehun Lee ◽  
Alberto Maydeu-Olivares
Keyword(s):  
Sample Size ◽  
Structural Equation ◽  
Model Misspecification ◽  
Factor Loading ◽  
Equation Modeling ◽  
Fit Indices ◽  
Finite Samples ◽  
Model Size ◽  
Fit Index ◽  
Tucker Lewis Index

This study investigated the effect the number of observed variables ( p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker–Lewis index (TLI), and the root mean square error of approximation (RMSEA). The behaviors of the population fit indices and their sample estimates were compared under various conditions created by manipulating the number of observed variables, the types of model misspecification, the sample size, and the magnitude of factor loadings. The results showed that the effect of p on the population CFI and TLI depended on the type of specification error, whereas a higher p was associated with lower values of the population RMSEA regardless of the type of model misspecification. In finite samples, all three fit indices tended to yield estimates that suggested a worse fit than their population counterparts, which was more pronounced with a smaller sample size, higher p, and lower factor loading.

scholarly journals Confirmation of the Validity of the Relational Coordination Survey as a Measure of the Work Environment in a National Sample of Infection Preventionists

2015 ◽  
Vol 23 (3) ◽  
pp. 379-392 ◽  
Author(s):  
Heather M. Gilmartin ◽  
Monika Pogorzelska-Maziarz ◽  
Sarah Thompson ◽  
Karen H. Sousa
Keyword(s):  
Work Environment ◽  
Structural Equation ◽  
Infection Prevention ◽  
National Sample ◽  
Equation Modeling ◽  
Relational Coordination ◽  
Fit Indices ◽  
Health Care Associated Infections ◽  
Fit Index ◽  
Infection Preventionists

Background: Health care-associated infections (HAIs) are leading causes of morbidity and mortality. Prevention of HAIs requires multifaceted approaches that consider the work environment in which interventions are implemented. Purpose: This study assessed the construct validity of the Relational Coordination Survey (RCS) as a measure of the work environment in infection prevention departments. Methods: Data were obtained from 614 infection preventionists (IPs). Factor analysis and structural equation modeling tested the hypothesized model. Results: Cronbach’s alpha for the 28-item RCS was .91. Factor analyses confirmed a four-factor solution that explained 58.17% of the variance. The fit indices for the model indicated an adequate fit, χ2(346) = 699.38, p < .00; comparative fit index = .94; root mean square error of approximation = .06. Conclusions: The RCS may be a useful tool for measuring aspects of the work environment for IPs.

Perceived Physical Competence in Adults: An Examination of the Physical Self-Perception Profile

1992 ◽  
Vol 14 (2) ◽  
pp. 207-221 ◽  
Author(s):  
Robert J. Sonstroem ◽  
Elias D. Speliotis ◽  
Joseph L. Fava
Keyword(s):  
Physical Condition ◽  
Principal Component ◽  
Self Esteem ◽  
Self Perception ◽  
Physical Competence ◽  
General Domain ◽  
Body Strength ◽  
Principal Component Analyses ◽  
Self Worth ◽  
Continued Use

The purpose of this research was to assess the structure and validity of the Physical Self-Perception Profile (PSPP) when used with adults in their middle and later years. Females (n=149) and males (n=111) completed the four subdomain scales (sport competence, physical condition, attractive body, strength); the more general domain scale, physical self-worth; and a global self-esteem scale. PSPP scales manifested strong internal consistency, validly separated exercisers from nonexercisers (Canonical R=.71 for females, .64 for males, and predicted degree of exercise involvement (Canonical R=.73 for females, .64 for males). Principal-component analyses revealed scale overlap for the scales for physical self-worth and attractive body. Although future PSPP users are warned of probable redundancy in these two scales, continued use and study of PSPP scales is strongly encouraged.

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