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Validity evidence of the Brief Fear of Negative Evaluation Scale for children and adolescents adapted for physical activity and sports settings

Abstract

Aim:

To investigate the validity evidence of the adapted Brief Fear of Negative Evaluation Scale in physical activity and sports settings - BFNE-PAS.

Methods:

Participants included 721 children and adolescents (376 girls and 345 boys), 10 to -14-year-olds (total sample Mage = 12.1, SD = 1.3) from Brazil.

Results:

Exploratory factorial analysis confirmed the unidimensionality of the scale. Confirmatory factorial analysis showed adequate indexes (RMSEA = 0.05, [90% C.I. = 0.04 to 0.06], CFI = 0.98 TLI = 0.98). Network analyses indicate the highest influence of the item: “afraid to expose failures when practicing physical exercises” and/or participating in games and play in physical education classes” upon all others. The polychoric alpha showed adequate internal consistency (total scale: α = 0.86; items: α values > 0.84). The intraclass coefficient correlation showed strong reliability test-retest (ICC > 0.90).

Conclusion:

BFNE-PAS showed adequate validity evidence in Brazilian children.

Keywords
instruments; childhood; adolescents; social anxiety; network analysis

Introduction

The fear of negative evaluation, or social phobia, is a crucial demand related to social anxiety11. Fredrick JW, Luebbe AM. Fear of positive evaluation and social anxiety: a systematic review of trait-based findings. J Affect Disord. 2020;265(1):157-68. doi
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. Individuals with high fear of negative evaluation show exaggerated apprehension when face exposure in social circumstances, avoidance of achievement settings, and frequent feelings of expectation that others will evaluate them negatively22. Watson D, Friend R. Measurement of social-evaluative anxiety. J Consult Clin Psychol. 1969;33(4):448-57. doi
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. As an aspect of social anxiety, this fear of evaluation from others is related to a range of disruptive behaviors, such as social isolation, difficulty in making friends33. Beidel DC, Turner SM, Young BJ, Ammerman RT, Sallee FR, Crosby L. Psychopathology of adolescent social phobia. J Psychopathol Behav Assess. 2007;29(1):47-54., and communication in public44. Cooper KM, Brownell SE. Student anxiety and fear of negative evaluation in active learning science classrooms. In: Active learning in college science: the case for evidence-based practice. Zürich, Springer; 2020.. Unfavorable health conditions, for example, depressive symptoms55. Kornienko O, Santos CE. The Effects of friendship network popularity on depressive symptoms during early adolescence: moderation by fear of negative evaluation and gender. J Youth Adolesc. 2014;43(4):541-53. doi
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and quality of life66. Dryman MT, Gardner S, Weeks JW, Heimberg RG. Social anxiety disorder and quality of life: how fears of negative and positive evaluation relate to specific domains of life satisfaction. J Anxiety Disord. 2016;38(2):1-8. doi
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also related to fear of negative evaluation. Besides, specifically, during childhood and adolescence, the fear of negative evaluation affects stronger and undesirably the academic performance and the acquisition of social skills3,3. Beidel DC, Turner SM, Young BJ, Ammerman RT, Sallee FR, Crosby L. Psychopathology of adolescent social phobia. J Psychopathol Behav Assess. 2007;29(1):47-54.77. Beidel DC, Turner SM, Morris TL. Psychopathology of childhood social phobia. J Am Acad Child Adolesc Psychiatry. 1999;38(6):643-50. doi
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.

This fear may occur in various social settings evaluate situations88. Heimberg RG, Brozovich FA, Rapee RM. A cognitive-behavioral model of social anxiety disorder: a update and extension. In: Social Anxiety. Amsterdã, Elsevier; 2010. p. 395-422. doi
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. These require specific performance, such as talking in public and interacting with others99. Furmark T, Tillfors M, Stattin H, Ekselius L, Fredrikson M. Social phobia subtypes in the general population revealed by cluster analysis. Psychol Med. 2000;30(6):1335-44.. Notably, in physical education and sport contexts, the situations naturally expose the practitioners to social evaluation. Usually, sports practices take place in groups, mediated by a teacher or coach, in settings that allow the evaluation of others (i.e., gymnasium, sports courts, playgrounds, pool). Eventual failure to complete the task satisfactorily is more visible and exposes the practitioners to a social evaluation of their capabilities. Other aspects are related to the use of appropriate dress for physical activity practices (e.g., sports shorts and t-shirts, swimsuits, lightweight t-shirt, or sweatshirts), which may cause distress since it exposes shape or parts of the body. Children and adolescents may be more sensitive to those factors10,10. Trompeter N, Bussey K, Hay P, Mond J, Murray SB, Lonergan A, et al. Fear of negative evaluation and weight/shape concerns among adolescents: the moderating effects of gender and weight status. J Youth Adolesc. 2018;47(7):1398-408. doi
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1111. Pawijit Y, Likhitsuwan W, Ludington J, Pisitsungkagarn K. Looks can be deceiving body image dissatisfaction relates to social anxiety through fear of negative evaluation. Int J Adolesc Med Health. 2019;31(4):1-7.. Higher fear of negative social evaluation may lead them to demonstrate high levels of tension, apprehension, and shame of failure during physical activity practices7,7. Beidel DC, Turner SM, Morris TL. Psychopathology of childhood social phobia. J Am Acad Child Adolesc Psychiatry. 1999;38(6):643-50. doi
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1212. Ridgers ND, Fazey DMA, Fairclough SJ. Perceptions of athletic competence and fear of negative evaluation during physical education. Br J Educ Psychol. 2007;77(2):339-49. doi
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. Besides, athletic performance, playing with other children, and physical education classes were reported by children with a social phobia as potentially socially fearful situations77. Beidel DC, Turner SM, Morris TL. Psychopathology of childhood social phobia. J Am Acad Child Adolesc Psychiatry. 1999;38(6):643-50. doi
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. Given this particularity, assessing the fear of negative evaluation and physical education class and sports contexts is essential.

Various self-report scales had been proposed to assess the fear of negative social evaluation in children and adolescents. The Social Phobia and Anxiety Inventory for adolescents1313. Clark DB, Turner SM, Beidel DC, Donovan JE, Kirisci L, Jacob RG. Reliability and validity of the social phobia and anxiety inventory for adolescents. Psychol Assess. 1994;6(2):135-40.; the Social Phobia and Anxiety Inventory for Children14,14. Beidel DC, Turner SM, Morris TL. A new inventory to assess childhood social anxiety and phobia: the social phobia and anxiety inventory for children. Psychol Assess. 1995;7(1):73-9. doi
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1515. Beidel DC, Turner SM, Hamlin K, Morris TL. The social phobia and anxiety inventory for children (SPAI-C): external and discriminative validity. Behav Ther. 2000;31(1):75-87. doi
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; the Social Phobia Inventory1616. Connor KM, Davidson JRT, Churchill LE, Sherwood A, Weisler RH, Foa E. Psychometric properties of the social phobia inventory (SPIN). Br J Psychiatry. 2000;176(4):379-86. doi
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; Fear of Negative Evaluation scale22. Watson D, Friend R. Measurement of social-evaluative anxiety. J Consult Clin Psychol. 1969;33(4):448-57. doi
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are examples of scales that assess this construct. Mainly, the Fear of Negative Evaluation scale had been widely utilized in the literature. The original version was developed from an American adult population and contained 30 dichotomous items in a truth-false format. Posteriorly, Leary1717. Leary MR. A brief version of the fear of negative evaluation scale. Personal Soc Psychol Bull. 1983;9(3):371-5. doi
doi...
proposed a Brief Fear of Negative Evaluation - BFNE, arguing about the excessive quantity of the item in the original scale. This brief version was composed of 12 items organized in a 5-point scale format rating ranging from 1 (not at all characteristics of me) to5 (extremely characteristic of me. The BFNE showed adequate psychometric properties and has been validated for different adult1818. Perczel-Forintos D, Kresznerits S. Social anxiety, and self-esteem: hungarian validation of the “Brief Fear of Negative Evaluation scale - straightforward items”. Orv Hetil. 2017;158(22):843-50. doi
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19. Wei J, Zhang C, Li Y, Xue S, Zhang J. Psychometric properties of the chinese version of the fear of negative evaluation scale-brief (BFNE) and the BFNE-straightforward for middle school students. PLoS One. 2015;10(3):e0115948. doi
doi...
20. Tavoli A, Melyani M, Bakhtiari M, Ghaedi GH, Montazeri A. The Brief Fear of Negative Evaluation Scale (BFNE): translation and validation study of the Iranian version. BMC Psychiatry. 2009;9(1):42. doi
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21. Koydemir S, Demir A. Psychometric properties of the brief version of the fear of negative evaluation scale in a turkish sample. Psychol Rep. 2007;100(3):883-93. doi
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-2222. Musa C, Kostogianni N, Lépine J-P. The fear of negative evaluation scale (FNE): psychometric properties of the French version. Encephale. 2004;30(6):517-24. doi
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and adolescent2323. Karp JN, Makol BA, Keeley LM, Qasmieh N, Deros DE, Weeks JW, et al. Convergent, incremental, and criterion-related validity of multi-informant assessments of adolescents’ fears of negative and positive evaluation. Clin Psychol Psychother. 2018;25(2):217-30. doi
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24. Vagos P, Salvador MDC, Rijo D, Santos IM, Weeks JW, Heimberg RG. Measuring evaluation fears in adolescence. Meas Eval Couns Dev. 2016;49(1):46-62. doi
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-2525. Botkin TN, Makol BA, Racz SJ, De Los Reyes A. Multi-informant assessments of adolescents’ fears of negative and positive evaluation: criterion and incremental validity in relation to observed behavior. J Psychopathol Behav Assess. 2021;43(1):58-69. doi
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populations.

Although considerable research reports the importance of understanding social anxiety for mental, emotional, and social health in childhood and adolescence, little is known how the fear of negative evaluation interferes with the engagement and permanence of children and adolescences in physical education lessons and motor and sports programs. Nevertheless, this factor is related to avoidance in physical activities, and peers and teammate interactions in sports practices have been understudied. This limitation, in part, is due to the lack of valid and reliable instruments that assess how this construct is manifested in physical education and sports contexts. To the authors’ knowledge, no instrument assesses children's and adolescents’ fear of negative social evaluation in physical activity and sports settings. Thus, this study aimed to adapt and examine the validity of the Brief Fear of Negative Evaluation Scale for children and adolescents in physical activity and sports settings.

Methods

Participants

Participants in the present study included a final sample size of 741 children and adolescents (376 girls; 365 boys), 10- to -14-year-olds (total sample Mage = 12.1, SD = 1.3; boys: Mage = 12.1, SD = 1.3; girls: Mage = 12.2, SD = 1.3) from eight public school in Ceará, Brazil. Children with cerebral paralysis, motor disorder, learning disabilities, and anxiety disorder, reported by parents, teachers, or caregivers, were excluded from the study. Consent was obtained from the custodial caregiver(s), and each child verbally agrees to participate in the study. Three Ph.D. professors, experts in development or sports psychology, and five professionals in motor behavior, sport, and development psychology with five years’ experience participated in the face validity. To data analysis the children were randomly allocated in two sample groups as following: 321 children (sample 1: M = 12.1, SD = 1.2; 149 girls, 46.5%), 420 children (sample 2: M = 12.2, SD = 1.1; 220; girls, 47.6%). the scores from sample 1 were used to examine the initial structure of BFNE- PE. The scores from sample 2 were used in the cross-validation factorial structure. From the total sample, 150 children (age M = 12.2 SD = 1.0; 75 girls; 50%) were randomly selected to be assessed twice; the scores were used in the test-retest analysis.

Instruments

The Brief Fear of Negative Evaluation Scale - BFNES1717. Leary MR. A brief version of the fear of negative evaluation scale. Personal Soc Psychol Bull. 1983;9(3):371-5. doi
doi...
was translated and adapted to the present study. The original BFNES is used to determine the degree of apprehension that the individuals experience in a situation in which they are exposed to social evaluation. In doing so, they prospect an unfavorable evaluation from others. The original BFNE is composed of 12 items, being eight specific items and four reverse items, about the fear concerning the lack of approval from others, worries about what kind of impression the individual makes on others, and the worry about saying or doing wrong things. The BFNE is a Likert-type scale from 1 (not at all characteristics of me) to 5 (extremely characteristic of me). The items sum composes a total score, ranging from 12 to 60. The validity (r = 0.90), reliability (r = 0.75) and internal consistency (r = 0.96) have demonstrated initially for undergraduate students (17)1414. Beidel DC, Turner SM, Morris TL. A new inventory to assess childhood social anxiety and phobia: the social phobia and anxiety inventory for children. Psychol Assess. 1995;7(1):73-9. doi
doi...
. Psychometric studies of BFNES have been demonstrating adequate evidence of validity and reliability of this scale for children and adolescents19,19. Wei J, Zhang C, Li Y, Xue S, Zhang J. Psychometric properties of the chinese version of the fear of negative evaluation scale-brief (BFNE) and the BFNE-straightforward for middle school students. PLoS One. 2015;10(3):e0115948. doi
doi...
2323. Karp JN, Makol BA, Keeley LM, Qasmieh N, Deros DE, Weeks JW, et al. Convergent, incremental, and criterion-related validity of multi-informant assessments of adolescents’ fears of negative and positive evaluation. Clin Psychol Psychother. 2018;25(2):217-30. doi
doi...
. In this study, a 5-points Likert scale (“unclear/irrelevant” = 1; “more or less clear/relevant” = 2; “clear/relevant” = 3; “very clear/relevant” = 4; “optimal clear/relevant” = 5) was used to assess the expert's judgment about the clarity and relevance of each item of the BFNE.

Procedures

The ethics committee from proponent University approved the study (CAAE number: 10270118.6.0000.5589). First, four translators participated in the retro translation of BFNE-PAS. Independently, two translators (T1 and T2) with fluency in the original language of the instrument (English) and the target language (Portuguese) translate the scale to Portuguese. An initial Portuguese version was obtained according to the synthesis of these two initial translations. The other two translators (T3 and T4) independently conducted the retro translation of the initial version in Portuguese back to the English language. A translator meeting was held, and a final version in Portuguese was obtained by confronting the final Portuguese version with the original version in English.

Since this study proposes an adaptation of the original Brief Fear of Negative Evaluate scale for children and adolescents in physical activity and sport, we consider increasing the construct precision by inserting new items. Although all items from the original version were adapted, we considered that it did not reach the latent construct's totality. Thus, three new items were formulated to increase the construct precision for physical activity and sports practice. One item included the worry concerning wearing appropriate clothes (e.g., gym pants, T-shirt, shorts, shorts) in physical activities. One item included the worries about embarrassment or shame caused by a failure in physical activities or sports practices. Lastly, the one new item intended to reinforce the assessment about the fear of exposing failures when practicing physical activity and/or participating in sports matches. The original scale, and the adapted scale, proposed in the present study with three new items, are presented in Table 1.

Table 1
Original scale, and the adapted scale for physical activity and sports.

We contacted the board of education and school administrators from two cities of Ceará, Brazil. Eight public schools responded positively to participation in the study. In a meeting with the school administrator and staff, the researchers explained the study's aims and procedures, and parents were informed about the research. We randomly selected children within the school.

Parents or legal guardians were contacted and received all information about the research procedures; parents’ informed consent was obtained from each child participate in this study. The children were assessed individually at schools by trained professionals. The time of the test application was approximately 15 minutes for each participant. The sample size for CFA was estimated, considering a model with 54 degrees of freedom (Number of distinct sample moments - Number of distinct parameters to be estimated: 78 - 24 = 54), a significance level at 0.05, and the desired power at 0.98. Considering a sample loss of 10%, our calculated final sample size for CFA was n = 420 participants.

Regarding EFA, we follow the recommended literature of minimum sample size in absolute numbers n = 3002626. Tabachnick BG, Fidell LS. Using multivariate statistics. 1st ed. Londres, Pearson; 2013.. Considering a sample loss of 10%, our calculated sample size for EFA was 330 participants. Considering that nine participants discontinued this study, our final sample size for EFA was 321 children and adolescents.

Statistical Analysis

Descriptive analysis was provided using mean, standard deviation, and percentages. The Content Validity Coefficient (CVC) was used to estimate each item's language clarity and relevance and total items2727. Hernandez-Nieto R. Contributions to statistical analysis. Mérida, Los Andes University Press; 2002.. The Gwet's Agreement Coefficients (AC1) weighted and unweighted were used to estimate experts’ agreement; values above 0.80 were considered a high agreement2828. Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61(1):29-48.. Mahalanobis squared distance (D2) was used to examine multivariate outliers and the Omnibus test based on Small's (chi-square) multivariate nonnormality of the data. We used Exploratory Factorial Analysis (EFA) and Baye's modal estimation polychoric correlation matrices to examine if the new items affected the unidimensional structure2929. Choi J, Kim S, Chen J, Dannels S. A comparison of maximum likelihood and bayesian estimation for polychoric correlation using monte carlo simulation. J Educ Behav Stat. 2011;36(4):523-49. doi
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. To estimate the adequacy of the correlation matrix, the Kaiser-Meyer-Olkin (KMO) with asymptotic Covariance/Variance matrix, using bootstrap sampling (95% confidence interval (CI95%), and Bartlett's Sphericity Test were conducted. Values higher than 0.80 for KMO and significant statistical differences for Bartlett's test (p < 0.05) were considered as adequately. Principal Components extraction method and Promax rotation for EFA analysis and the optimal implementation of Parallel Analysis (PA), to estimate the number of scale dimensions was used3030. Lorenzo-Seva U, Timmerman ME, Kiers HAL. The hull method for selecting the number of common factors. Multivariate Behav Res. 2011;46(2):340-64. doi
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.

A confirmatory factorial analysis was conducted to verify the FNE-PE structural model, adopting the weighted least square mean and variance adjusted (WLSMV) estimator's method. The model's overall fit was tested using multiple fit indexes since different measures present strength and weakness3131. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model a Multidiscip J. 1999;6(1):1-55.. The Tukey Lewis Index (TLI)3131. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model a Multidiscip J. 1999;6(1):1-55. and the Comparative Fit Index (CFI); were used to verify model adjustment - values greater than or equal to 0.95 and 0.90 as considered as appropriate3232. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. New York City, Pearson Education; 2010.. The Root Mean Square Error of Approximation (RMSEA) with 90% confidence interval (CI90%), with recognized cut-off3232. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. New York City, Pearson Education; 2010.; good: values lowest 0.05; acceptable: values between 0.06 and 0.08) was also used.

The invariance of the model for sex and age (10 to 11-year-old & 12 to 14-year-old) was examined using the multigroup CFA invariance factorial loads. The CFI, GFI, and RMSEA (90% CI) were adopted as fit indexes for the configurational invariance. The metric invariance was used to verify if loadings varied across sex and age by groups3333. Kline RB. Principles and practice of structural equation modeling. 3rd ed. London, The Guilford Press; 2011.. Test invariance was used to examine if the intercept for each variable and construct did not vary. The comparisons of the models were conducted using means differences between constrained and unconstrained models, the delta of the RMSEA (δ RMSEA), adopting the recommended cut-off (< 0.015) to support the invariance assumption3333. Kline RB. Principles and practice of structural equation modeling. 3rd ed. London, The Guilford Press; 2011..

Besides, a network analysis was conducted to investigate the structure of partial relationships and the relative influence of items on each other. The estimated Gaussian Graphic Model, with a partial correlation matrix, was used for the network analysis. Thus, the edges represent the conditional association between variables by model, the pairwise Markov field, and it was estimated using the L1-regularized neighborhood regression. The regularization was obtained using the graphical Least Absolute Shrinkage and Selection Operator - gLASSO3434. Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics. 2008;9(3):432-41., controlling the model sparsity. Using the Extended Bayesian Information Criteria (EBIC), the model was selected, levels of penalty parameter between 0.25 and 0.50 were adopted. The function “cor_auto” in R-program was used to estimate the correlations matrix. Three centrality measurements were adopted: betweenness, closeness, and strength.

The internal consistency and reliability were conducted to investigate the construct validity using alpha for ordinal data based on polychoric correlations; values ≥ 0.70 were considered acceptable3535. Nunnally JC. Psychometric theory. 3rd ed. Columbus, McGraw Hill Higher Education; 1993.. Alternatively, the composite reliability (CR) was conducted3030. Lorenzo-Seva U, Timmerman ME, Kiers HAL. The hull method for selecting the number of common factors. Multivariate Behav Res. 2011;46(2):340-64. doi
doi...
; CR values equal or superior to 0.70 were considered adequate3636. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39.. In this study, the average variance extracted (AVE) was utilized as a measure of precision. Values superior to 0.50 were considered adequate3737. Valentini F, Damásio BF. Average variance extracted and composite reliability: reliability coefficients. Psicol Teor e Pesq. 2016;32(2):1-7. doi
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. The Intraclass Correlation Coefficient (ICC) was utilized to investigate the test-retest reliability. A two-way mixed effect model, based on the mean of multiple measures, was adopted to measure consistency38,38. Qin S, Nelson L, McLeod L, Eremenco S, Coons SJ. Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula. Qual Life Res. 2019;28(4):1029-33. doi
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3939. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420-8..40. Gwet KL. Variance estimation of nominal-scale inter-rater reliability with random selection of raters. Psychometrika. 2008;73(3):407-30. doi
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The analyses were conducted using Agree.15 software, Factor analysis software version 10.9.01, Mplus version 7.4, Psych, and qgraph packages from R-free software. The significance level was set at α less than or equal to 0.05.

Data sharing

Data openly is available in a public repository (http://dx.doi.org/10.17632/fcfcyry9mn.1).

Results

Translation and adaptation

After the translation and retro translation process, the version of BFNE was adapted to be used in physical activity and sports settings. All items were rewritten (i.e., when I participate in the physical activity and sports, I am frequently afraid of other people noticing my shortcomings; when I am talking to someone from my sport and physical activity team or group, I worry about what they may be thinking about me). Furthermore, three items to the scale: I worry about not being ashamed when I participate in physical education or sports; I get worried when I have to wear fitness clothes (gym pants, t-shirt, shorts, shorts); I am afraid of exposing my flaws by doing physical exercises and/or participating in sports matches.

Content validity evidence

The results showed high CVC values concerning total items among experts for linguistic clarity (94.7% to 99.8%) and relevance (96.4% to 97.5%). The high CVC results for each item were found (values ranged from 92% to 100% for linguistic clarity and 97% to 100% for relevance among expert responses). The Gwet's AC1 results ranged from 0.75 to 0.78 for clarity and from 0.84 to 0.93 for relevance, showed high concordance among experts. Table 2 shows the content validity coefficient (CVC) and Gwet's AC1 for language clarity and item relevance.

Table 2
Content validity coefficient (CVC) and Gwet's AC1 concordance coefficient for language clarity and relevance for each item.

Construct validity evidence

The initial EFA analysis enrolled 321 children (sample 1) showed adequate values for KMO (0.83, CI95% = 0.81 to 0.85) and Bartlett sphericity test (χ2 (105) = 1727.3; p < 0.001). However, were observed inadequate values for load factor (λ < 0.50) and communalities (h < 0.40) in items 2 (λ = 0.12, h = 0.01), 4 (λ = 0.37, h = 0.13), 7 (λ = 0.23. h =0.05), and 10 (λ = 0.34, h = 0.12). A new EFA, excluding these items, showed adequate suitable for structure detection of the correlation matrix (values for KMO: 0.88, CI95% 0.87 to 0.90; and Bartlett sphericity test (χ2 (55) = 1365.9; p < 0.001). The adequate load factor (λ < 0.50) and communalities were observed. The model showed adequate adjustment indexes (Weighted Root Mean Square Residual (WRMR) = 0.07, 90C.I. = 0.06; 0.08). An optimal implementation of Parallel Analysis (PA) and eigenvalue analysis (53% of explained variance), the Unidimensional Congruence (value = 0.96; bootstrap 95%C.I. = 0.94 to 0.98), the Explained Common Variance (value = 0.85; bootstrap 95%C.I. = 0.81 to 0.89) and Mean of Item Residual Absolute Loadings (value = 0.23; bootstrap 95%C.I. = 0.19 to 0.26) indicated a unidimensional scale. The Table 3 provides the factor loadings and communalities values for the BFNE-PE.

Table 3
Factor Loadings and communalities.

To investigate the cross-validation of the BFNE- PE factorial structure, the CFA as conducted with 420 children (sample 2). The Omnibus analysis, using the Small's test (χ2(24) = 542.97 p < 0.001), confirmed the multivariate nonnormality of data. A correlation of measurement error between item 3 and item 6 was added to the model, considering the suggestion from modified indexes. The model showed adequate adjustment indexes (RMSEA = 0.05, 90%C.I. = 0.04 to 0.06, CFI = 0.98 TLI = 0.98). Most of the load factors showed values considered adequate (λ > 0.50), with exception to the item 12 (λ = 0.44) and item 14 (λ = 0.50). The elimination of these items produced a small modification in the model adjustment (RMSEA = 0.06 (90 C.I. = 0.05; 0.09, CFI = 0.96). Figure 1 presents the final model of the Fear of Negative Evaluate Scale - short form - adapted for children in physical activity/sports settings.

Figure 1
Factorial structure of the Fear of Negative Evaluate Scale - short form - adapted for children on physical education context.

Was observed, by multigroup analysis, that the model without constriction demonstrated configurational invariance for sex (CFI = 0.94, RMSEA = 0.004) and across age groups (CFI = 0.95, RMSEA = 0.03). Since the loadings do not vary by sex (δχ2 (10) = 11.563 p = 0.315; δ RMSEA = 0.002) and by age (δχ2 (10) = 7.232 p = 0.703; δ RMSEA = 0.004), the metric invariance also was confirmed. Yet, the model indicated that the intercept terms for each variable and construct do not vary by sex (δχ2 (11) = 15.408 p = 0.165; δ RMSEA = 0.002) and age (δχ2 (10) = 11.563 p = 0.315; δ RMSEA = 0.002).

The network and centrality plot analyses for the BFNE-PAS items were conducted in the total sample (741 children). The highest partial correlations were observed between items 3 and 6 (r = 0.26), items 9 and 11 (r = 0.024), items 1 and 11 (r = 0.20) and items 13 and 14 (r = 0.20) The items 11 and 15 showed highest closeness and item 12 and 14 lowest closeness scores in this network analysis. The highest betweenness scores were observed in items 11 and 13. Items 11 and 3 showed the highest strength in the network. The good-of-fit-index showed adequate values for this network (CFI = 1.00, RMSEA = 0.00, RMSEA 90C.I. = 0.00; 0.01). Figure 2 presents the network (Figure 2a) and the centrality plot (Figure 2b) for the items from BFNE-PAS.

Figure 2
Network (a) and centrality plot (b) of the items from BFNE-PE.

Reliability and descriptive analysis

Table 4 presents the alpha results for ordinal data based on polychoric correlations of the items, the item-rest correlation, and the descriptive statistics (median, minimum, and maximum values) of the scores BFNE-PAS, according to sex and age groups. The results showed an appropriate reliability for all items (values > 0.84) and total scale (α = 0.86). In addition, the composite reliability analysis showed adequate value (0.87). Yet, individual item reliability showed appropriate values (values between 0.25 to 0.53) except for item 12 (value = 0.19). In general, these results reinforcing the internal consistency evidence of the instrument. The AVE value was near to expected (0.40).

Table 4
Reliability and descriptive statistics for items of the Fear of Negative Evaluation Scale - short form - adapted for children and adolescents for physical activity and sports settings (sample 2).

Participated of the test- retest analysis, 150 children (age M = 12.2 SD = 1.0) (75 girls; 50%). Interclass coefficient correlation analysis showed high reliability between test and retest scores for all items (ICC values between 0.90 and 0.93; CI95% = 0.88; 0.96).

Discussion

This study aimed to examine the validity and reliability of the BFNES-PAS for children and adolescents. After translating and retro translating, a pre-final version was sent to experts. The sentence “I worry about not being ashamed” was replaced by “I worry about embarrassing myself” (item 13). Also, in item 10, the sentence “it has little effect on me” was replaced by “I don't care”, following experts’ suggestions. This pre-version received strong agreement among experts concerning high or total clarity and relevance27,27. Hernandez-Nieto R. Contributions to statistical analysis. Mérida, Los Andes University Press; 2002.2828. Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61(1):29-48.. Professionals also reported clarity and pertinence of BFNRS-PAS items. The BFNRS-PAS showed adequate content validity evidence.

The initial EFA analysis showed adequate values for KMO and Bartlett sphericity test, but inadequate load factor (λ < 0.50) and communalities (h < 0.40) values for the items 2, 4, 7, and 10. The items were excluded, and the model showed adequate KMO, Bartlett sphericity, and adjustment indexes3030. Lorenzo-Seva U, Timmerman ME, Kiers HAL. The hull method for selecting the number of common factors. Multivariate Behav Res. 2011;46(2):340-64. doi
doi...
. Besides, the version with specific items showed adequate load factor and communalities. The optimal results, in several tests, confirmed the unidimensionality of the scale, namely the implementation of parallel analysis3030. Lorenzo-Seva U, Timmerman ME, Kiers HAL. The hull method for selecting the number of common factors. Multivariate Behav Res. 2011;46(2):340-64. doi
doi...
, the congruence, the common variance, and the mean of item residual absolute loadings analyses4141. Ferrando PJ, Lorenzo-Seva U. Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educ Psychol Measur. 2018;78(5):762-80. doi
doi...
.

Items 2, 4, 7, and 10 correspond to reverse-worded items from the original short version of the scale. Similarly, other studies reported difficulty in the assessment of the fear of negative evaluation with reverse items. So, compared to the original scale with the brief form that contains only direct items, the original version presented inferior validity indexes18,18. Perczel-Forintos D, Kresznerits S. Social anxiety, and self-esteem: hungarian validation of the “Brief Fear of Negative Evaluation scale - straightforward items”. Orv Hetil. 2017;158(22):843-50. doi
doi...
1919. Wei J, Zhang C, Li Y, Xue S, Zhang J. Psychometric properties of the chinese version of the fear of negative evaluation scale-brief (BFNE) and the BFNE-straightforward for middle school students. PLoS One. 2015;10(3):e0115948. doi
doi...
. For example, in studying Chinese students, the results showed stronger parsimony and excellent reliability and validity only for the BFNE with specific items1919. Wei J, Zhang C, Li Y, Xue S, Zhang J. Psychometric properties of the chinese version of the fear of negative evaluation scale-brief (BFNE) and the BFNE-straightforward for middle school students. PLoS One. 2015;10(3):e0115948. doi
doi...
. Although a two-dimensional model, with one dimension composed only by straightforward items and others with reverse-worded items, has been provided in the literature20,20. Tavoli A, Melyani M, Bakhtiari M, Ghaedi GH, Montazeri A. The Brief Fear of Negative Evaluation Scale (BFNE): translation and validation study of the Iranian version. BMC Psychiatry. 2009;9(1):42. doi
doi...
21,21. Koydemir S, Demir A. Psychometric properties of the brief version of the fear of negative evaluation scale in a turkish sample. Psychol Rep. 2007;100(3):883-93. doi
doi...
4242. Carleton RN, McCreary DR, Norton PJ, Asmundson GJG. Brief Fear of Negative Evaluation Scale - revised. Depress anxiety. 2006;23(5):297-303. doi
doi...
our results provided evidence for unidimensionality of the scale.

The CFA results showed an adequate fit of the model3131. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model a Multidiscip J. 1999;6(1):1-55.. Most of the load factors showed values considered adequate3333. Kline RB. Principles and practice of structural equation modeling. 3rd ed. London, The Guilford Press; 2011.. Items 12 and 14 showed loads near to adequate, and when eliminated, it produced a small modification in the model. So, for providing additional information to the model, these items were maintained. The multigroup analysis showed configurational, metric, and scalar invariance for sexes and age groups. Therefore, the structure, including configuration, load factor, and error, did not vary in these groups3232. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. New York City, Pearson Education; 2010.. Results of an adequate internal structure of BFNE-S were also reported previously21,21. Koydemir S, Demir A. Psychometric properties of the brief version of the fear of negative evaluation scale in a turkish sample. Psychol Rep. 2007;100(3):883-93. doi
doi...
4242. Carleton RN, McCreary DR, Norton PJ, Asmundson GJG. Brief Fear of Negative Evaluation Scale - revised. Depress anxiety. 2006;23(5):297-303. doi
doi...
, similar to our results. Our results for alpha and based on polychoric correlations of the items4343. Nunnally J. Psychometric methods. New York, McGraw-Hill; 1978. and item-total correlations4444. Bacon DR, Sauer PL, Young M. Composite reliability in structural equations modeling. Educ Psychol Meas. 1995 2;55(3):394-406. doi
doi...
showed adequate values. The individual item reliability showed appropriate values for most of the items. The composite reliability and AVE36,36. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39.4444. Bacon DR, Sauer PL, Young M. Composite reliability in structural equations modeling. Educ Psychol Meas. 1995 2;55(3):394-406. doi
doi...
showed fair values and provided additional support for evidence of measure precision3737. Valentini F, Damásio BF. Average variance extracted and composite reliability: reliability coefficients. Psicol Teor e Pesq. 2016;32(2):1-7. doi
doi...
of the BFNES-PE. Also, the intraclass correlation coefficient presents adequate test-retest reliability38,38. Qin S, Nelson L, McLeod L, Eremenco S, Coons SJ. Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula. Qual Life Res. 2019;28(4):1029-33. doi
doi...
3939. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420-8.. These results support the high internal consistency.

The network analysis showed adequate good-of-fit-index for relational structure measured. Item 11 showed the highest closeness, betweenness, and strength. Besides, items 15 and 6 showed high closeness values. Closeness, a measure that reveals the shortest path between a given node and the remaining nodes, suggested that these items given a central influence upon others in this network4545. Borsboom D, Cramer AOJ. Network analysis: an integrative approach to the structure of psychopathology. Annu Rev Clin Psychol. 2013;9(1):91-121. doi
doi...
. Betweenness, quantification of the number of times a node acts as a bridge along the shortest path between two other nodes4646. Jones PJ, Ma R, McNally RJ. Bridge centrality: a network approach to understanding comorbidity. Multivariate Behav Res. 2021;56(2):353-67-15. doi
doi...
indicates that, in our data, item 11 seems to mediate the relation between various other nodes in this network. Strength is a measure that indicates a more robust relationship among particular nodes through the sum of the absolute value of its connections with other nodes in a network4646. Jones PJ, Ma R, McNally RJ. Bridge centrality: a network approach to understanding comorbidity. Multivariate Behav Res. 2021;56(2):353-67-15. doi
doi...
suggested that, in our data, the item maintains relationships more robust with other nodes. These results showed that these items have the optimal ability to discriminate between fear of negative evaluation levels in physical education contexts.

These items, especially item 11, are related to what other people think about him/her. It seems that when the judgment from others is more “out of our control” or is less dependent on “own performance”, the fear of negative evaluation may be more expressive. So, this is a critical point in the assessment of the fear of negative evaluation. Contrarily, in this network, item 12 showed the lowest closeness, betweenness, and strength. It refers to worry about saying or doing the wrong things, factors that are more within one's control, or depend more on one's attitudes, and therefore were more easily avoidable. Individuals who are high in fear of negative evaluation behave in ways to avoid, when possible, evaluative settings47,47. Essau CA, Conradt J, Petermann F. Frequency and comorbidity of social phobia and social fears in adolescents. Behav Res Ther. 1999;37(9):831-43.4848. Kearney CA. Social anxiety and social phobia in youth: characteristics, assessment, and psychological treatment. Boston, Springer; 2005.. Further, youths with social phobia frequently display a wide range of avoidant strategies when encountering socially distressing situations77. Beidel DC, Turner SM, Morris TL. Psychopathology of childhood social phobia. J Am Acad Child Adolesc Psychiatry. 1999;38(6):643-50. doi
doi...
. These strategies included noncompliance and refusal, such as pretended not to hear the person talking to them, hid their eyes so they would not be called on, and refuse to do as they were asked77. Beidel DC, Turner SM, Morris TL. Psychopathology of childhood social phobia. J Am Acad Child Adolesc Psychiatry. 1999;38(6):643-50. doi
doi...
. So, more avoidable situations may cause less fear of negative evaluation from others.

Explicitly, in physical activity and sports practices, to say or do wrong things depends partly on the individual level, quality of practice, and level of engagement in motor activities. For example, if the children are not required to participate effectively in practices or do practice or do not offer adequate experiences (i.e., challenging tasks), they may choose to avoid the experiences that can fail and consequently receive negative judgment from others. Thus, the feelings of individual control about participation in these situations may affect the fear of negative evaluation from others less strongly. The argument may explain why item 12 showed the lowest influence upon others.

Limitations and strength of the study

The study's Strength was using robust psychometric procedures in a large and representative Brazilian sample to provide the first validity version of a scale that measures the fear of negative social evaluation in physical activity and sport settings. A limitation of this study was not investigating the criterion validity evidence of the scale. Futures studies can address this unassessed point.

Conclusion

Based on translation and adaptation procedures and statistical model support, the BFNES - PAS presented substantial evidence of validity to assess the appropriateness of the fear of negative evaluation of Brazilian children in the physical activity and sports settings. This scale could be used to investigate further the complex relationships among other essential aspects, such as engagement in physical activities, self-perceptions of competence, and physical appearance among children and adolescents. Besides, BFNES - PAS's information may help the teachers, coaches, psychologists, and administrators make decisions about the interventional procedures related to social anxiety in sports and physical activity programs.

Declaration of interest statement

The authors declare no conflicts of interest.

Acknowledgments

The authors would like to thank all the experts, professionals, as well as children and adolescent participants for their participation and commitment to the study. Further, this study received financial support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). N.C.V is Researcher on Productivity.

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Associate Editor: Romulo A. Fernandes0000-0003-1576-8090, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Presidente Prudente, SP, E-mail: romulo_ef@yahoo.com.br.

Publication Dates

  • Publication in this collection
    03 Nov 2021
  • Date of issue
    2022

History

  • Received
    29 June 2021
  • Accepted
    23 Sept 2021
Universidade Estadual Paulista Universidade Estadual Paulista, Av. 24-A, 1515, 13506-900 Rio Claro, SP/Brasil, Tel.: (55 19) 3526-4330 - Rio Claro - SP - Brazil
E-mail: motriz.rc@unesp.br