Validity and reliability of the arabic version of the self-report single-item self-esteem scale (A-SISE)
BMC Psychiatry volume 23, Article number: 351 (2023)
Meta-analytic findings documented a substantial impact of self-esteem on a broad range of psychological and behavioral indicators, thus highlighting its high clinical relevance. Proving a simple and cost-effective measure of global self-esteem to the Arabic-speaking community, who mostly live in low- and middle-income countries, and where research may be challenging, would be highly valuable. In this context, we sought to investigate the psychometric characteristics of an Arabic translation of the Single-Item Self-Esteem Scale (A-SISE) in terms of factor structure, reliability, and construct validity.
A total of 451 participants were enrolled between October and December 2022. An anonymous self-administered Google Forms link was shared on WhatsApp. To examine the factor structure of the A-SISE, we used the FACTOR software. We conducted an exploratory factor analysis (EFA), using a principal component analysis on the Rosenberg Self-Esteem Scale (RSES) items first, then after adding the A-SISE.
The results of the EFA of the RSES revealed two factors (F1 = negatively-worded items; F2 = positively-worded items), which explained 60.63% of the common variance. When adding the A-SISE, the two-factor solution obtained explained 58.74% of the variance, with the A-SISE loading on the second factor. Both RSES and A-SISE correlated significantly and positively with each other, as well as with extroversion, agreeableness, conscientiousness, open mindedness and satisfaction with life. Moreover, they correlated significantly and negatively with negative emotionality and depression.
These results suggest that the A-SISE is a simple-to-use, cost-effective, valid and reliable measure of self-esteem. We thus recommend its use in future research among Arabic-speaking people in Arab clinical and research settings, particularly when researchers are limited by time or resources constraints.
Self-esteem represents an evaluative component of the self-concept , in which individuals evaluate their self-image based on feedback and information they get through social interaction during their various social roles . Self-esteem is significant on both personal and social levels; it is seen as a personal psychological characteristic  that involves an awareness of one’s value system and an emotional assessment of one’s own worth . Global self-esteem plays a protective role in the person’s system ; and constitutes an essential element in personal well-being . Meta-analytic findings documented a substantial impact of self-esteem on a broad range of psychological and behavioral indicators, including depression, anxiety , social anxiety , social relationships , body dysmorphic disorder symptom severity , feelings of shame , problematic smartphone use , eating disorders , sexual functioning , academic achievements , suicidal behavior , peer victimization , cyberbullying , bullying perpetration , aggression , as well as crime and delinquency . In addition, prospective reports have shown that low levels of self-esteem experienced in adolescence have long lasting effects on both physical and mental health in adulthood and later life [9, 22,23,24]. Self-esteem has also proven to be a major and impactful predictor of quality of life  and satisfaction with life . Therefore, investigating and studying self-esteem is of high relevance and importance in the psychological and psychiatric fields. To this end, it is important to have a self-esteem assessment tool that adapts to each environment, community and has appropriate psychometric characteristics.
Measures of self-esteem: the Rosenberg self-esteem scale
The most common instrument used to assess self-esteem is the Rosenberg self-esteem scale (RSES). It was developed in 1965 by Morris Rosenberg  who considered self-esteem as person’s thoughts and feelings about self-worth . The RSES is measured by ten items answered on a four-point scale with responses ranging from strongly disagree (1) to strongly agree (4) . Half of the items are positively formulated (e.g. “I feel that I have a number of good qualities”), while the other half is negatively formulated (e.g. “I wish I could have more respect for myself”) . The RSES is a reliable and valid scale of global self-worth, that has been adapted across 53 nations and translated to almost 28 languages  such as Persian , French , Chinese , Italian , Estonian , Portuguese , Spanish , German , Greek , and Arabic . However, over the last decades, the psychometric properties of the RSES have been questioned internationally. Some of these translational validation studies revealed inconsistencies in replicating the original unidimensional factor structure of the RSES . Few studies presented the scale as unidimensional [27, 38], while others suggested a two-dimensional structure . The first factor, grouping the positively formulated items, refers to the positive self-esteem, or positive self-worth and the second factor, grouping the negatively formulated items, refers to the negative self-esteem, or self-depreciation . Nevertheless, no consensual interpretation of the two-dimensions is yet available; with studies describing them either as methodical artefacts of item-wording (e.g., ) or as related but separated aspects of the self (e.g., ). This might significantly affect the understanding and interpretation of the self-esteem construct and its related scores. Another issue related to the RSES has been raised by cross-national research; with negatively worded items having been demonstrated to be interpreted differently depending on the cultural and country context .
Measures of self-esteem: the single-item self-esteem scale
More recently, Robins et al.  designed an ultra-brief measure to assess global self-esteem, i.e. the Single-Item Self-Esteem Scale (SISE). Due to their briefness, self-report single-item scales are practical and easy to administer for both clinicians and researchers, particularly in large exploratory or field studies and those using multi-point assessments where participants’ time and burden and survey costs need to be accounted for. Apart from their convenient usefulness, single-item measures have consistently been shown to be valid and reliable; thus leading to the growing recommendation of their usage and to their gradual inclusion in guidelines . In addition to these potential advantages, single-item scales are psychometrically sound, given that analysis of data from Likert-type format of responses at the item level is statistically solid . Examples of constructs that have previously been reliably and validly assessed using single-items scales include narcissism , risk-taking , Fear of Missing Out , job satisfaction , and social identification . For self-esteem, however, the single-item measure received scant research interest. The original validation study performed in the English language among US undergraduate students has evidenced the validity and reliability of the SISE, and showed that the SISE and the RSES exhibited similar correlation patterns with outcome measures including depression, life satisfaction, and maladaptive personality traits . Since then, the SISE has then been validated in two other languages, i.e. German  and Brazilian ; with both versions supporting its adequate psychometric properties. However, no Arab version of the SISE exits to date, to the best of our knowledge.
The present study
Self-esteem appears to be a culturally-dependent concept, having its roots in Western societies . It stems from the individualistic culture of the West which places priority on the autonomy and power of individuals , and therefore a stronger emphasis on cultivating positive self-esteem. In countries with individuated cultural values (e.g., the United States), all individuals are taught since the childhood to stand up for themselves and view themselves as special . They all possess a “self”, and self-esteem is considered a “basic human need” . Cross-cultural research showed that the self is viewed differently between cultures, and self-esteem vary widely between individualistic and collectivistic societies (e.g., ). Arab societies and cultures are collectivist in nature , where the self is perceived as interdependent and merged with the members of the in-group . Within-cultures differences in self-esteem have also been described. For instance, a cross-national comparison by Abdel-Khalek et al.  found that Kuwaiti and Omani college students displayed greater levels of self-esteem compared with their counterparts from Egyptian and Lebanese. These variations were partly explained by differences in per-capita income levels and employment possibilities between countries that are suggested to affect self-esteem . It is of note, however, that a dearth of literature on self-esteem emerged from the Arab world to date (e.g., ). To help foster national and cross-national research on this topic in Arab countries, we sought to investigate the psychometric characteristics of an Arabic translation of the SISE (A-SISE) in terms of factor structure, reliability, and construct validity. Patterns of associations between A-SISE and depression symptoms, satisfaction with life, and personality traits have also been examined. Proving this simple and cost-effective measure of global self-esteem to the Arabic-speaking community, who mostly live in low- and middle-income countries, and where research may be challenging, would be highly valuable.
Four hundred fifty one Lebanese citizens and residents (women n = 292; 64.7%) completed the survey, who had a mean age of 23.58 years (SD = 9.44). The majority of participants were single (86.3%), while 85.8% had a university level of education (Table 1).
Minimum sample size
Following the recommendations of Comrey and Lee , a minimum sample of 10 participants per scale’s item are needed to conduct an exploratory factor analysis. Since the A-SISE is composed of one question, a minimal sample of 10 participants was needed.
The Arabic questionnaire assessed the sociodemographic characteristics of the included participants (age, sex, marital status and education), as well as the following scales:
Self-Esteem. Two measures of self-esteem were used; (1) the A-SISE (English: “I have high self-esteem”) rated on a 5-point Likert scale (1 = not at all true of me, 2 = rather not true of me, 3 = some part true of me, 4 = rather true of me, 5 = very true of me), and (2) the Arabic version of the Rosenberg self-esteem scale [27, 37]: It is a 10-item scale that reflects self-worth by focusing on both positive and negative feelings people have about themselves. Items are scored on a four-point Likert scale (1 = strongly disagree to 4 = strongly agree). Higher scores reflect a better self-esteem. The forward and backward translation method was applied to the SISE following international guidelines . The English version was translated to Arabic by a Lebanese translator who was completely unrelated to the study. Afterwards, a Lebanese psychologist with a full working proficiency in English, translated the Arabic version back to English. The initial and translated English versions were compared to detect and later eliminate any inconsistencies by a committee composed of the research team and the two translators [63, 64]. A pilot study was conducted on 20 persons before the start of the official data collection to make sure the question was well understood; no changes were done consequently.
Satisfaction with life Scale. This measure has been validated in Lebanon . It is composed of 5 items, rated on a 7-point Likert scale (1 = strongly disagree to 7 = strongly agree). Higher scores reflect a higher satisfaction with life (ω = 0.88).
Big-Five Inventory (BFI-2) extra short form  was used to assess personality traits. This latest version comprises 15 questions, rated on a scale from 1 = strongly disagree to 5 = strongly agree, which yields 5 personality traits: extroversion (ω = 0.36), agreeableness (ω = 0.43), conscientiousness (ω = 0.46), negative emotionality (ω = 0.60) and open mindedness (ω = 0.29). The Arabic translation of the BFI-2 has directly been obtained from Dr Soto (the developer of the scale), and has previously been used in validation research in the Lebanese population .
Between October and December 2022, all information was gathered by way of a Google Form link. The research team employed the “snowball” approach, in which they made contact with people they know and requested them to share the link with their friends and relatives. A projected completion date was included in the project’s social media advertising. Being an adult resident and citizen of Lebanon was a requirement for participation. To make sure no one completed the poll more than once, Internet protocol (IP) addresses were checked. The above-mentioned items were administered in a pre-randomized order to account for order effects after participants had provided digital informed permission. Participants freely completed the survey, which was anonymous, and without remuneration.
There were no missing responses in the dataset. To examine the factor structure of the A-SISE, we used an exploratory factor analysis, using a principal component analysis using the FACTOR software . We verified all requirements related to item-communality , average item correlations, and item-total correlations . The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (which should ideally be ≥ 0.80) and Bartlett’s test of sphericity (which should be significant) ensured the adequacy of our sample . The procedure followed for determining the number of dimensions was the Parallel Analysis (PA) , using the Pearson correlation matrix. Weighted Root Mean Square Residual (WRMR) were also calculated to assess the model fit (values < 1 have been recommended to represent good fit . Item retention was based on the recommendation that items with “fair” loadings and above (i.e., ≥ 0.33) and with low inter-item correlations (suggestive of low item redundancy) as indicated by the anti-image correlation matrix should be retained .
Composite reliability in both subsamples was assessed using McDonald’s (1970) ω, with values greater than 0.70 reflecting adequate composite reliability . McDonald’s ω was selected as a measure of composite reliability because of known problems with the use of Cronbach’s α (e.g., ). The total RSES and the A-SISE scores followed a normal distribution, with skewness and kurtosis values varying between − 1 and + 1 . To assess convergent and criterion-related validity, we examined bivariate correlations between total RSES and the A-SISE scores and those on the additional measures included in the survey (personality traits, depression and satisfaction with life) using the Pearson test. Student t test was used to compare two means. Based on Cohen (1992) , values ≤ 0.10 were considered weak, ~ 0.30 were considered moderate, and ~ 0.50 were considered strong correlations.
Table 2 presents the descriptive statistics of the used scales, which were all considered as normally distributed. The A-SISE had a mean of 3.72 (SD = 0.96, range: 1–5), a median of 4.00, a mode of 4, and the following score distribution: 1 = 3.3%, 2 = 4.9%, 3 = 29.7%, 4 = 41.0%, 5 = 21.1%.
Exploratory factor analysis
Factor analysis on the total sample
Bartlett’s test of sphericity, χ2(45) = 1752, p < .001, and KMO (0.862) indicated that the RSES items had adequate common variance for factor analysis. The results of the EFA revealed two factors, which explained 60.63% of the common variance. The WRMR value was also adequate (= 0.073; 95% CI 0.066-0.078), indicating good fit of the model.
When adding the A-SISE, Bartlett’s test of sphericity, χ2(55) = 1977.3, p < .001, and KMO (0.874) remained adequate. The two-factor solution obtained explained 58.74% of the variance (WRMR = 0.07; 95% CI 0.063-0.075).
Factor analysis on with men
Similar results were seen in men; Bartlett’s test of sphericity, χ2(45) = 772.2, p < .001, and KMO (0.824) again indicated that the RSES scales’ items had adequate common variance for factor analysis among men. A two-factor solution was obtained explaining 64.76% of the variance (WRMR = 0.069; 95% CI 0.055-0.078).
When adding the A-SISE, Bartlett’s test of sphericity, χ2(55) = 890.7, p < .001, and KMO (0.843) remained adequate. The two-factor solution obtained explained 63.58% of the variance (WRMR = 0.067; 95% CI 0.053-0.076).
Factor analysis with women
For women, Bartlett’s test of sphericity, χ2(45) = 1087, p < .001, and KMO (0.862) again indicated that the RSES items had adequate common variance for factor analysis. The results of the EFA revealed two factors, which explained 60.22% of the common variance (WRMR = 0.071; 95% CI 0.060-0.078), indicating good fit of the model.
When adding the A-SISE, Bartlett’s test of sphericity, χ2(55) = 1205.8, p < .001, and KMO (0.874) remained adequate. The two-factor solution obtained explained 57.92% of the variance (WRMR = 0.068; 95% CI 0.058-0.074).
Factor structure congruence and composite reliability
The factor loadings reported in Table 3 for the total sample, women and men separately suggest strong similarity across factor structures. McDonald’s ω were very good for each of the two factors of the RSES and for the A-SISE in the total sample, men and women respectively.
Both RSES and A-SISE correlated significantly and positively with each other, as well as with extroversion, agreeableness, conscientiousness, open mindedness and satisfaction with life. Moreover, they correlated significantly and negatively with negative emotionality and depression (Table 4). Finally, a higher mean RSES score, but not A-SISE score, was found in participants with a university level of education compared to secondary or less (Table 5).
We sought through the present study to translate and validate the Arabic version of the single-item measure of global self-esteem, i.e. the A-SISE. EFA confirmed good congruence of factor structure across gender. The A-SISE displayed acceptable composite reliability coefficients. Both RSES and A-SISE revealed comparable associations with investigated variables (life satisfaction, personality traits and depression), which provided sufficient level of construct-validity.
We found a mean A-SISE score of 3.72 ± 0.96. These results are comparable to mean SISE scores found in the US (3.50 ± 1.10, ) and German (3.25 ± 1.15, ) samples; and slightly lower than those found in the Brazilian student sample (4.36 ± 1.45, ). EFA yielded a two-factor structure of the Arabic RSES, and showed that A-SISE loaded on the same factor (Factor 2) as the five positively-worded items of the Arabic RSES. Additionally, we found positive correlations between the RSES and A-SISE scores, suggesting that the single-item scale is informative and relevant to assess the self-esteem construct. We also found that both RSES and A-SISE positively correlated with extroversion, agreeableness, conscientiousness, open mindedness, satisfaction with life, and inversely correlated with negative emotionality and depression severity, thus aligning with findings from earlier studies that investigated self-esteem. In the parent validation, higher SISE scores correlated with greater extraversion, conscientiousness, and less neuroticism . Comparable patterns of associations between SISE scores and personality traits have been observed in the German sample, where self-esteem was positively related to extraversion and conscientiousness, and negatively related to neuroticism . The inverse association between self-esteem (as assessed using the SISE) and depression has also been demonstrated in the original  and German validation studies . Finally, the positive link between SISE scores and life satisfaction has been noted in the originally developed version . These findings support the convergence between the Arabic RSES and the A-SISE, and the construct validity of the A-SISE.
Finally, the gender comparison of self-esteem scores revealed no significant differences between men and women, both when using the RSES or the A-SISE. In the original and German validations of the SISE , as well as other previous research using different measures (e.g., [82, 83]), male participants generally exhibit significantly higher self-esteem scores than females. However, gender differences in self-esteem have been shown to vary across cultures, and to be more pronounced in Western industrialized high-income countries ; which might explain our findings. All these results suggest that the A-SISE is a simple-to-use, cost-effective, valid and reliable measure of self-esteem. We thus recommend its use in future research, particularly when researchers are limited by time or resources constraints.
When discussing the limitations of the present study, we should start by emphasizing that single-item scales may have their shortages (e.g., reduced psychometric performance [43, 85]) in some contexts or situations compared to multi-item measures. Therefore, it is important to adequately choose the appropriate research settings where to use the A-SISE. In addition, single-item measures have been criticized for having lower/uncertain reliability, as measurement error estimation is expected to not follow the prescribed model which relies on inter-correlations to account for reliability (i.e., the internal consistency approach) . It is thus suggested that, only one item may not allow the measure to be subjected to internal consistency procedures . This can be particularly of concern in our study, as the personality measure used (i.e., the Arabic BFI-2) exhibited low reliability. To address this limitation, alternative methods (e.g., test-retest reliability) have been recommended , and need to be considered in future studies. Future validation studies should also consider using measures with adequate reliability when examining construct validity of the A-SISE. Furthermore, it should be noted that all SISE correlations are lower than the correlations found with the Rosenberg scale; this indicates limitations regarding the convergent validity of the single-item measure. Other limitations have also to be discussed. This is a cross-sectional study, which means causation cannot be inferred. A recall bias might be present and it may have led to an overestimation of the answers given to some questions Symptoms were self-reported (not evaluated by a healthcare professional) and thus are subjective. Additionally, results of this study cannot be generalized to the whole population because the sample included a majority of people with a university level of education, who were recruited by using the snowball technique.
The goal of the current study was to provide evidence of reliability and validity of the A-SISE, which was accomplished through the examination of its congruence of factor structure across gender, composite reliability and construct-validity. Consequently, the single-item scale is deemed a suitable measure to assess self-esteem, and is recommended for use among Arabic-speaking people in Arab clinical and research settings when appropriate.
All data generated or analyzed during this study are not publicly available to maintain the privacy of the individuals’ identities. The dataset supporting the conclusions is available upon request to the corresponding author.
Shavelson RJ, Hubner JJ, Stanton GC. Self-concept: validation of construct interpretations. Rev Educ Res. 1976;46(3):407–41.
González-Pienda JA, Pérez JCN, Pumariega SG-, García. MSG. Autoconcepto, autoestima y aprendizaje escolar. Psicothema. 1997:271 – 89.
Alesi M, Rappo G, Pepi A. Self-esteem at school and self-handicapping in childhood: comparison of groups with learning disabilities. Psychol Rep. 2012;111(3):952–62.
Schunk DH. Self-efficacy and classroom learning. Psychol Sch. 1985;22(2):208–23.
Martín-Albo J, Núñez JL, Navarro JG, Grijalvo F. The Rosenberg Self-Esteem Scale: translation and validation in university students. Span J Psychol. 2007;10(2):458–67.
Boyd JE, Otilingam PG, DeForge BR. Brief version of the internalized stigma of Mental Illness (ISMI) scale: psychometric properties and relationship to depression, self esteem, recovery orientation, empowerment, and perceived devaluation and discrimination. Psychiatr Rehabil J. 2014;37(1):17.
Sowislo JF, Orth U. Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychol Bull. 2013;139(1):213.
ZHANG Y, LI S. The relationship between self-esteem and social anxiety: a meta-analysis with chinese students. Adv Psychol Sci. 2019;27(6):1005.
Harris MA, Orth U. The link between self-esteem and social relationships: a meta-analysis of longitudinal studies. J Personal Soc Psychol. 2020;119(6):1459.
Kuck N, Cafitz L, Bürkner P-C, Hoppen L, Wilhelm S, Buhlmann U. Body dysmorphic disorder and self-esteem: a meta-analysis. BMC Psychiatry. 2021;21(1):1–16.
Budiarto Y, Helmi AF. Shame and self-esteem: a meta-analysis. Europe’s J Psychol. 2021;17(2):131.
Casale S, Fioravanti G, Benucci SB, Falone A, Ricca V, Rotella F. A meta-analysis on the association between self-esteem and problematic smartphone use. Comput Hum Behav. 2022:107302.
Colmsee I-SO, Hank P, Bošnjak M. Low self-esteem as a risk factor for eating disorders. Z für Psychologie. 2021.
Sakaluk JK, Kim J, Campbell E, Baxter A, Impett EA. Self-esteem and sexual health: a multilevel meta-analytic review. Health Psychol Rev. 2020;14(2):269–93.
Körük S. The effect of self-esteem on student achievement. The factors effecting student achievement. Springer; 2017. pp. 247–57.
Soto-Sanz V, Antonio Piqueras J, Rodriguez-Marin J, Teresa Perez-Vazquez M, Rodríguez-Jiménez T, Castellví P, et al. Self-esteem and suicidal behaviour in youth: a meta-analysis of longitudinal studies. Psicothema. 2019;31(3):246–54.
van Geel M, Goemans A, Zwaanswijk W, Gini G, Vedder P. Does peer victimization predict low self-esteem, or does low self-esteem predict peer victimization? Meta-analyses on longitudinal studies. Dev Rev. 2018;49:31–40. https://doi.org/10.1016/j.dr.2018.07.001.
Lei H, Mao W, Cheong CM, Wen Y, Cui Y, Cai Z. The relationship between self-esteem and cyberbullying: a meta-analysis of children and youth students. Curr Psychol. 2020;39(3):830–42.
Tsaousis I. The relationship of self-esteem to bullying perpetration and peer victimization among schoolchildren and adolescents: a meta-analytic review. Aggress Violent Beh. 2016;31:186–99.
Teng Z, Liu Y, Guo C. A meta-analysis of the relationship between self-esteem and aggression among chinese students. Aggress Violent Beh. 2015;21:45–54.
Mier C, Ladny RT. Does self-esteem negatively Impact Crime and Delinquency? A Meta-analytic review of 25 years of evidence. Deviant Behav. 2018;39(8):1006–22. https://doi.org/10.1080/01639625.2017.1395667.
Trzesniewski KH, Donnellan MB, Moffitt TE, Robins RW, Poulton R, Caspi A. Low self-esteem during adolescence predicts poor health, criminal behavior, and limited economic prospects during adulthood. Dev Psychol. 2006;42(2):381.
Steiger AE, Allemand M, Robins RW, Fend HA. Low and decreasing self-esteem during adolescence predict adult depression two decades later. J Personal Soc Psychol. 2014;106(2):325.
Morin AJ, Maïano C, Marsh HW, Janosz M, Nagengast B. The longitudinal interplay of adolescents’ self-esteem and body image: a conditional autoregressive latent trajectory analysis. Multivar Behav Res. 2011;46(2):157–201.
Kuehner C, Buerger C. Determinants of subjective quality of life in depressed patients: the role of self-esteem, response styles, and social support. J Affect Disord. 2005;86(2–3):205–13.
Fekih-Romdhane F, Sawma T, Obeid S, Hallit S. Self-critical perfectionism mediates the relationship between self-esteem and satisfaction with life in lebanese university students. BMC Psychol. 2023;11(1):4. https://doi.org/10.1186/s40359-023-01040-6.
Rosenberg M, Rosenberg M. Self-esteem scale. Appendix D. Society and the adolescent self-image. Princeton University Press Princeton, NJ; 1965.
Schmitt DP, Allik J. Simultaneous administration of the Rosenberg Self-Esteem Scale in 53 nations: exploring the universal and culture-specific features of global self-esteem. J Personal Soc Psychol. 2005;89(4):623.
Shapurian R, Hojat M, Nayerahmadi H. Psychometric characteristics and dimensionality of a persian version of Rosenberg Self-esteem scale. Percept Mot Skills. 1987;65(1):27–34.
Vallieres EF, Vallerand RJ. Traduction et validation canadienne-française de l’échelle de l’estime de soi de Rosenberg. Int J Psychol. 1990;25(2):305–16.
Cheng S-T, Hamid PN. An error in the use of translated scales: the Rosenberg Self-Esteem Scale for Chinese. Percept Mot Skills. 1995;81(2):431–4.
Prezza M, Trombaccia FR, Armento L. La scala dell’autostima di Rosenberg: Traduzione e validazione Italiana. Giunti Organizzazioni Speciali; 1997.
Pullmann H, Allik J. The Rosenberg Self-Esteem Scale: its dimensionality, stability and personality correlates in Estonian. Pers Indiv Differ. 2000;28(4):701–15.
Santos PJ, Maia J. Análise factorial confirmatória e validação preliminar de uma versão portuguesa da escala de auto-estima de Rosenberg. Psicologia: teoria, investigaçäo e prática, 2, 2003, p 253–268. 2003.
Roth M, Decker O, Herzberg PY, Brähler E. Dimensionality and norms of the Rosenberg Self-Esteem Scale in a german general population sample. Eur J Psychol Assess. 2008;24(3):190–7.
Galanou C, Galanakis M, Alexopoulos E, Darviri C. Rosenberg self-esteem scale greek validation on student sample. Psychology. 2014;5(08):819.
Zaidi U, Awad SS, Mortada EM, Qasem HD, Kayal GF. Psychometric evaluation of Arabic version of Self-Esteem, Psychological Well-being and Impact of weight on Quality of life questionnaire (IWQOL-Lite) in female student sample of PNU. European Medical, Health and Pharmaceutical Journal. 2015;8(2).
McCarthy JD, Hoge DR. Analysis of age effects in longitudinal studies of adolescent self-esteem. Dev Psychol. 1982;18(3):372.
Hagborg WJ. The Rosenberg Self-Esteem scale and Harter’s Self‐Perception profile for adolescents: a concurrent validity study. Psychol Sch. 1993;30(2):132–6.
Marsh HW. Positive and negative global self-esteem: a substantively meaningful distinction or artifactors? J Personal Soc Psychol. 1996;70(4):810.
Goldsmith RE. Dimensionality of the Rosenberg self-esteem scale. J social Behav Personality. 1986;1(2):253.
Robins RW, Hendin HM, Trzesniewski KH. Measuring global self-esteem: construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Pers Soc Psychol Bull. 2001;27(2):151–61.
Diamantopoulos A, Sarstedt M, Fuchs C, Wilczynski P, Kaiser S. Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. J Acad Mark Sci. 2012;40(3):434–49.
Carifio J, Perla RJ. Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and likert response formats and their antidotes. J social Sci. 2007;3(3):106–16.
Konrath S, Meier BP, Bushman BJ. Development and validation of the single item narcissism scale (SINS). PLoS ONE. 2014;9(8):e103469.
Szrek H, Chao L-W, Ramlagan S, Peltzer K. Predicting (un) healthy behavior: a comparison of risk-taking propensity measures. Judgm Decis Mak. 2012;7(6):716.
Riordan BC, Cody L, Flett JA, Conner TS, Hunter J, Scarf D. The development of a single item FoMO (fear of missing out) scale. Curr Psychol. 2020;39(4):1215–20.
Nagy MS. Using a single-item approach to measure facet job satisfaction. J Occup organizational Psychol. 2002;75(1):77–86.
Postmes T, Haslam SA, Jans L. A single-item measure of social identification: reliability, validity, and utility. Br J Soc Psychol. 2013;52(4):597–617.
Brailovskaia J, Margraf J. How to measure self-esteem with one item? Validation of the german single-item self-esteem scale (G-SISE). Current psychology: a Journal for diverse perspectives on diverse psychological issues. 2020;39:2192–202. doi: https://doi.org/10.1007/s12144-018-9911-x.
Pimentel CE, Silva FMdSMd S, JLFd, Oliveira KG, Freitas NBC, Couto RN, et al. Single-item self-esteem scale: brazilian adaptation and relationship with personality and prosocial behavior. Psico-USF. 2018;23:1–11.
Draguns JG. Culture and personality. Perspectives on cross-cultural psychology. 1979:179–207.
Gilovich T, Keltner D, Nisbett R. Social psychology. New York, NY: W. W. Norton & Company; 2010.
Botta M. Neo-collectivist consciousness as a driver of transformative sociocultural change. J Futures Stud. 2016;21(2):51–70.
Flynn HK. Self-esteem theory and measurement: a critical review. Diperolehi pada April. 2003;16:2007.
Markus HR, Kitayama S. Culture and the self: implications for cognition, emotion, and motivation. Psychol Rev. 1991;98(2):224.
Hofstede G. Dimensionalizing cultures: T he Hofstede Model in Context. Online readings in psychology and culture. 2011;2(1):2307–09191014.
Cozma I. How are individualism and collectivism measured. Romanian J Appl Psychol. 2011;13(1):11–7.
Abdel-Khalek AM, Korayem AS, El-Nayal MA. Self-esteem among college students from four arab countries. Psychol Rep. 2012;110(1):297–303.
Sweileh WM. Contribution of researchers in the arab region to peer-reviewed literature on mental health and well-being of university students. Int J Mental Health Syst. 2021;15(1):50. https://doi.org/10.1186/s13033-021-00477-9.
Comrey AL, Lee HB. A first course in factor analysis. Psychology press; 2013.
Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000;25(24):3186–91. https://doi.org/10.1097/00007632-200012150-00014. PubMed PMID: 11124735.
Fekih-Romdhane F, Fawaz M, Hallit R, Sawma T, Obeid S, Hallit S. Psychometric Properties of an arabic translation of the Multidimensional Social Support Scale (MSPSS) in a community sample of lebanese adults. 2022.
Hallit S, Bitar Z, Rogoza R, Obeid S. Validation of the Arabic Version of the Freiburg Mindfulness Inventory (FMI-Ar) Among a Sample of Lebanese University Students. 2022.
Abdallah T. The satisfaction with Life Scale (SWLS): Psychometric Properties in an arabic-speaking Sample. Int J Adolescence Youth. 1998;7(2):113–9. https://doi.org/10.1080/02673843.1998.9747816.
Soto CJ, John OP. Short and extra-short forms of the big five Inventory–2: the BFI-2-S and BFI-2-XS. J Res Pers. 2017;68:69–81.
Fekih-Romdhane F, Postigo Á, González-Nuevo C, Dabbous M, Malaeb D, Obeid S, et al. Psychometric properties of the Arabic version of the Oviedo grit scale (A-EGO) in non-clinical adults from the general population. BMC Psychiatry. 2022;22(1):792.
Obeid S, Azzi V, Hallit S. Validation and psychometric properties of the Arabic Version of Hamilton Depression Rating Scale 7 items (HAMD-7) among non-clinical and clinical samples of Lebanese adults. Plos One 2023. https://doi.org/10.1371/journal.pone.0285665
Hamilton M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967;6(4):278–96.
Obeid S, Hallit CAE, Haddad C, Hany Z, Hallit S. Validation of the Hamilton Depression Rating Scale (HDRS) and sociodemographic factors associated with lebanese depressed patients. L’encephale. 2018;44(5):397–402.
Lorenzo-Seva U, Ferrando PJ. FACTOR: a computer program to fit the exploratory factor analysis model. Behav Res Methods. 2006;38(1):88–91. doi: https://doi.org/10.3758/bf03192753. PubMed PMID: 16817517.
Worthington RL, Whittaker TA. Scale development research: a content analysis and recommendations for best practices. Couns Psychol. 2006;34(6):806–38.
Clark L, Watson D. Construct validity: basic issues in objective scale development. Psychol Meas. 1995;28:61–75.
Hair JF. Multivariate data analysis. 2009.
Timmerman ME, Lorenzo-Seva U. Dimensionality assessment of ordered polytomous items with parallel analysis. Psychol Methods. 2011;16(2):209.
Yu CY, editor. Evaluation of model fit indices for latent variable models with categorical and continuous outcomes. Paper presented at the annual conference of the American Educational Research Association, April 4, 2002, New Orleans; 2002.
Tabachnick B, Fidell L. Using Multivariate Statistics. 7th ed. New York: Pearson Publishers; 2019.
Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412.
McNeish D. Thanks coefficient alpha, we’ll take it from here. Psychol Methods. 2018;23(3):412.
Hair JF Jr, Sarstedt M, Ringle CM, Gudergan SP. Advanced issues in partial least squares structural equation modeling. saGe publications; 2017.
Cohen J, editor. Editor quantitative methods in psychology: a power primer. Psychological bulletin. Citeseer; 1992.
Caprara GV, Alessandri G, Eisenberg N, Kupfer A, Steca P, Caprara MG, et al. The positivity scale. Psychol Assess. 2012;24(3):701.
Kling KC, Hyde JS, Showers CJ, Buswell BN. Gender differences in self-esteem: a meta-analysis. Psychol Bull. 1999;125(4):470.
Bleidorn W, Arslan RC, Denissen JJ, Rentfrow PJ, Gebauer JE, Potter J, et al. Age and gender differences in self-esteem—A cross-cultural window. J Personal Soc Psychol. 2016;111(3):396.
Sarstedt M, Wilczynski P. More for less? A comparison of single-item and multi-item measures. Die Betriebswirtschaft. 2009;69(2):211.
Allen MS, Iliescu D, Greiff S. Single item measures in Psychological Science. Eur J Psychol Assess. 2022;38(1):1–5. https://doi.org/10.1027/1015-5759/a000699.
We would like to thank all participants.
The work of Radosław Rogoza was supported by the Foundation for Polish Science (FNP).
Ethics Approval and Consent to Participate
Ethics approval for this study was obtained from the ethics committee of the School of Pharmacy at the Lebanese International University. A written informed consent was considered obtained from each participant when submitting the online form. All methods were performed in accordance with the relevant guidelines and regulations.
Consent for publication
The authors have nothing to disclose.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Fekih-Romdhane, F., Bitar, Z., Rogoza, R. et al. Validity and reliability of the arabic version of the self-report single-item self-esteem scale (A-SISE). BMC Psychiatry 23, 351 (2023). https://doi.org/10.1186/s12888-023-04865-y