Abstract
The self-esteem constitutes a characteristic which can influence the person in many dimensions, depending on the perception positive or negative, which the individual has for himself/herself. The most usable tool for measuring self-esteem is the Rosenberg Self-esteem Scale (RSES). In order to be validated in the Greek language, the RSES was completed by high school students, from 12 to 18 years old at a Private School in the suburbs of the region of Attica, Greece. Simultaneously, they were administered other questionnaires, such as Culture-Free Self-Esteem Inventories, Third Edition (CFSEI-3), Positive and Negative Affect Schedule (PANAS) and Health indicators – Medical History- Daily Routine- Quality and Way of life (Darviri & Varvogli). The reliability and validity results of the RSES indicated satisfactory internal reliability index crombach a was .89 and .80. The RSES had positive statistically significant relationship with the two questionnaires of self-esteem (Darviri & Varvogli and CFSEI-3). It was observed statistically significant relationships with age, academic performance and PANAS, as a consequence these correlations confirm questionnaire’s criterion validity. The RSES Greek version is a tool that can be used for the measurement of Self-Esteem in the Greek adolescents.
Background
The importance of self-esteem started to be perceived during the 60’s. The psychological and social field recognized the need of studying self-image and generally self-concept, which was cultivated by the interdependence with the environment.1 The upsurge in the illumination of various aspects of “self”, was conforming with the development of social psychology and especially social identity theory 2.
The self-concept constitutes a cognitive schema that organizes memories and controls the self-relevant information. Self-esteem is considered one of the components of self-concept and it is playing a critical role in its structure 3. Rosenberg defined self-esteem as “totality of the individual’s thoughts and feelings with reference to himself as an object” 1. Another conceptualization was made by Harter (1985, 1986) who characterized self-esteem or self-worth as “the global regard that one has for the self as a person 4.
The beginning was signified in 1890 by James’s “The Principles of Psychology”, in which he introduced multiple concepts of the “self” and he distinguished three interrelated aspects of the self, the material, the social and the spiritual self, which dispose the feelings of self-worth and self-seeking actions. Based on the principle of multiplicity of social selves, the self-esteem depends on the ratio of successes to pretensions; its amelioration could be succeeded by lowering aspirations or by increasing successes. The distinction between real and ideal selves can significantly contributes on self-esteem 5.
According to James, self-esteem depends on the individual’s cognitive evaluations; they focus to be competent in certain domains. Their success leads on higher self-esteem and their failure in lower self-esteem. Cooley was inferring to the “social mirror”; the appraisals of significant others towards the self 6.
The perceived image or the perception which is cultivated by others, can influence the self-esteem and how the person acts. In general, the subjects with high self-esteem accept easier the positive feedback, in comparison with the one’s with lower self-esteem 3. The appraisal of self-image is a result from the receivable feedback as individuals and from the social interaction when the “social-self” is on the surface 7.
The adolescence constitutes a critical period in the formation of self-esteem 8. According to studies the adolescents’ self-esteem is declined due to the transition from childhood to adolescence. In this period, the adolescent faces many physical and hormonal that provoke instability in the self-concept and especially in self-esteem; as a result, it indicates lower level of self-esteem. However, in late adolescence the level of self-esteem is seemed higher 9.
The study of self-esteem has proved that it can affect different aspects of “self” and abilities, such as psychological well-being, academic performance and learning, and coping skills accordingly 4. Although, over the passing years, the increasing need of exploring self-esteem in adolescence and the different influenced parameters, lead to the validation of Rosenberg Self-Esteem Scale in Greek adolescents.
Methods
The study was performed in a Private School of Attica, Greece, in April. The study required approval according to the Scientific an Ethics committee of Athens’s Medical University from the guardians of students. The study was a convenience sample of 250 students who were asked to participate in the study. After being, both students and guardians, fully informed of the purposes of the study and giving their consent, the participants were asked to complete anonymous questionnaires. Inclusion criteria were the ability to read and write in Greek, 12–18 years of age and residency in Attica. Finally, 204 participants delivered all the completed questionnaires.
The Rosenberg Self-esteem Scale (RSES)
One of the most used instruments for measuring self-esteem is the Rosenberg Self-esteem Scale 1.
The RSES constitutes an instrument which captures the global perception of the individual’s self-worth through a 10-item tool, 5 positively worded items and 5 negatively worded items. The scale includes these items:
- “On the whole, I am satisfied with myself.”,
- “At times I think I am no good at all.”,
- “I feel that I have a number of good qualities.”,
- “I am able to do things as well as most other people.”,
- “I feel I do not have much to be proud of.”,
- “I certainly feel useless at times.”,
- “I feel that I’m a person of worth, at least on an equal plane with others.”,
- “I wish I could have more respect for myself.”,
- “All in all, I am inclined to feel that I am a failure.” and
- “I take a positive attitude toward myself.”.
All items are answered using a 4-point Likert scale format ranging from 1=strongly agree to 4=strongly disagree.1 The range of scores using this procedure was 10-40 with higher scores indicating higher self-esteem.
Other measurements
Sociodemographic variables
Questions used to collect information about the gender, age, education level (A, B, C Gymnasium and A, B, C Lyceum), residence, nationality, marital status of parents (unmarried, married, divorced and widowed), siblings’ number, father’s and mother education’s level (tertiary – above 12 education years, secondary – 6–12 education years, or lower and uneducated) and father’s and mother’s profession (employed- unemployed).
Culture-Free Self-Esteem Inventories, Third Edition (CFSEI-3)
The Culture-Free Self-Esteem Inventories, Third Edition (CFSEI-3) are a set of norm-referenced assessment inventories that measure self-reported self-esteem in children and adolescents. The CFSEI-3 focuses on the following measurement areas (depending upon age category):
- Academic Self-Esteem,
- General Self-Esteem,
- Parent/Home Self-Esteem,
- Social Self-Esteem and
- Personal Self-Esteem Purpose 10 11.
The questions are closed, yes or no. The higher scores indicate higher self-esteem.
Positive and Negative Affect Schedule (PANAS)
The PANAS investigates the emotions of adolescents and the intensity of those feelings. The questionnaire disposes 20 adjectives which describe positive and negative emotions, such as “I am feeling excited” and “I am feeling sad”. All items are answered using a 6-point Likert scale (from 1= not at all, to 6= too much). The total depends on the grade of every emotion, positive or negative 12.
Health indicators – Medical History- Daily Routine- Quality and Way of life (Darviri & Varvogli)
The scale “Health indicators – Medical History- Daily Routine- Quality and Way of life” of Mrs. Darviri, of Master of Science “Stress Management and Health Promotion”, includes 42 items. In this study 8 items which measure self-esteem of adolescents, are used. The higher scores indicate higher self-esteem.
Statistical analyses
Descriptive analyses were used to calculate the means, standard deviations (SD), minimums, maximums and absolute and relative frequencies (%). Principal component analysis (PCA) was used to identify the factors from the HLPCQ. Bartlett’s test was used to assess whether the correlation between items was adequate; in contrast, a determinant value was calculated to assess unwanted over-correlation of items (determinant should be close to zero). The Kaiser-Meyer-Olkin (KMO) statistic was used to assess sample adequacy. The appropriate number of derived factors were identified using the scree-plot (looking for inflexion points) and Kaiser’s criterion of eigenvalues greater than 1 (given that our sample was large, the criterion is valid for an average of communalities greater than 0.6). Loadings of each item on derived factors were maximized using the orthogonal varimax rotation. Items with loadings above 0.3 were examined as candidate components of the corresponding factor. Cronbach’s alpha values were calculated to assess internal consistency of the identified factors. After, the scores of each factor were calculated and assessed for meaningful associations with the other measurements of the study. For group comparisons, we used Student’s t-test, and for scale variables, we used Pearson’s rho correlation coefficient. The level of significance p was .05. Statistical analyses were performed using the SPSS for Windows (version 18.0.3) statistical software (SPSS Inc., Chicago, IL).
Results
Table 1 presents the main characteristics of our sample. The sample is 204 individuals from 12 to 18 years old (N= 87 students in Gymnasium and N= 117 in Lyceum). The highest number of students is observed in 1st Lyceum (n=52, 25.5%). The majority of parents has finished tertiary education (fathers=186 (91.2%), mothers= 190 (93.1%)) and the 86.3% of parents are married. For completeness, descriptive statistics for the RSES, CFSEI-3, PANAS and SE are also presented.
Table 1 Sociodemographic and psychological characteristics of the study’s sample (N=204)
Sociodemographic characteristics | |
Males N (%) | 105 (51.5%) |
Mean Age in years (SD, Min-Max) | 15,64 (1.7, 13-18) |
Mean Graduation grade (SD, Min-Max) | 18.18 (1.58, 7-20) |
1st Gymnasium N (%) | 31 (15,2%) |
2nd Gymnasium N (%) | 37 (18,1%) |
3rd Gymnasium N (%) | 19 (9,3%) |
1st Lyceum N (%) | 52 (25,5%) |
2nd Lyceum N (%) | 27(13,2%) |
3rd Lyceum N(%) | 38 (18,6%) |
Total N (%) | 204 (100,0%) |
Father's Primary/Secondary Education Level N (%) | 18 (8.8%) |
Father's Tertiary Education Level N (%) | 186 (91.2%) |
Fathers N (%) | 204 (100%) |
Mother's Primary/Secondary Education Level N (%) | 14 (6.9%) |
Mother's Tertiary Education Level N (%) | 190 (93.1%) |
Mothers N (%) | 204 (100%) |
Unmarried N (%) | 7 (3.4%) |
Married N (%) | 176 (86.3%) |
Divorced N (%) | 17 (8.3%) |
Widowed N (%) | 4 (2%) |
Psychological characteristics | |
Mean Defense-Lie score (SD, min-max) | 3.73 (1.07, 0-5) |
Mean Self-esteem related with parents score (SD, min-max) | 4.29 (0.96, 0-5) |
Mean Academic Self-esteem score (SD, min-max) | 3.95 (1.23, 0-5) |
Mean Social Self-esteem score (SD, min-max) | 3.82 (1.10, 0-5) |
Mean General Self-esteem score (SD, min-max) | 7.27 (2.4, 0-10) |
Mean CFSEI-B score (SD, min-max) | 23.07 (4.46, 7-30) |
Mean Negative emotions score (SD, min-max) | 22.78 (6.88, 10-45) |
Mean Positive emotions score (SD, min-max) | 36.71 (6.16, 16-50) |
Mean PANAS score (SD, min-max) | 13.93 (10.45, -18-40) |
Mean Positive self-esteem score (SD, min-max) | 12.03 (3.98, 5-10) |
Mean Negative self-esteem score (SD, min-max) | 13.5 (3.31, 5-10) |
Mean RSES score (SD, min-max) | 25.53 (5.08, 10-39) |
Mean Satisfaction (SD, min-max) | 26.71 (5.11, 8-40) |
The results of the principal component analysis (PCA) of the 10 items with orthogonal rotation (varimax) are presented in Table 2. The Kaiser-Meyer-Olkin measure verified the sampling adequacy for the analysis (KMO =.831) and all KMO measures for individual items were above the acceptable limit of .5. Bartlett’s test of sphericity x2 = 872.303 p < .001, indicated that correlations between items were sufficiently large enough to perform PCA. The determinant was .012 indicating lack of excessive correlations between items. The two components had eigenvalues greater than Kaiser’s criterion of 1 and in combination explained 35.13% and 27.63% of variances. The scree-plot (not shown) supported the choice for the selection of two components according to the inspection of inflexion points.
Table 2 Rotated factor loadings of the principal components analysis (PCA) for RSES (N=204)
Component | ||
1 | 2 | |
Positive | Negative | |
Rosenberg 1 | 0.795 | |
Rosenberg 2 | 0.792 | |
Rosenberg 3 | 0.857 | |
Rosenberg 4 | 0.878 | |
Rosenberg 5 | 0.625 | |
Rosenberg 6 | 0.818 | |
Rosenberg 7 | 0.815 | |
Rosenberg 8 | 0.634 | |
Rosenberg 9 | 0.825 | |
Rosenberg 10 | 0.829 | |
Eigenvalues | 3.493 | 2.784 |
% of Variance | 34.934 | 27.835 |
Cronbach's alpha | 0.89 | 0.795 |
Table 3 presents the mean scores of each subscale along with the theoretical and observed values of the range. It is evident that there was a good dispersion of calculated scores in our sample relative to the possible range of scores.
Table 3 Descriptive characteristics of the 2 subscales and the total score of RSES
Items | Range | Mean | SD | Minimum | Maximum | |
Positive self-esteem | 5 | 15 | 12.03 | 3.98 | 5 | 20 |
Negative Self-esteem | 5 | 15 | 13.5 | 3.31 | 5 | 20 |
Total score | 10 | 29 | 25.53 | 5.08 | 10 | 39 |
Table 4 presents meaningful associations between the RSES subscales and the total score of study variables. Significant associations with the subscales and the total score can be summarized as follows:
- The RSES was significantly correlated with positive and negative emotions of PANAS.
- The RSES was significantly correlated with the Self-esteem items from the questionnaire of Quality of life,
- the graduation grade of students was significantly correlated with RSES and
- the subscales of CFSEI-3 except from the defense and lie items.
Table 4 Association between total RSES score and other study measurements
Characteristics | Categories | Mean RSES |
Gender | Males | 105 (25.54) |
Females | 99 (25.53) | |
Statistics | t(202)=.025 | |
p value | .98 | |
Education | Gymnasium | 87 (25.30) |
Lyceum | 117 (25.71) | |
Statistics | t(202)= -.570 | |
p value | .57 | |
Parents' Education | Father's Education | 204 (25.53) |
Statistics | t(202)= 1.541 | |
p value | 0=.125 | |
Mother's Education | 204 (25.53) | |
Statistics | t(202)= -.516 | |
p value | .607 |
Characteristics | Correlations | RSES |
Negative emotions | Pearson's rho | -.27* |
p value | .000 | |
Positive emotions | Pearson's rho | .250** |
p value | .000 | |
Self-esteem | Pearson's rho | .169* |
p value | .016 | |
Age | Pearson's rho | -.041 |
p value | .562 | |
Siblings | Pearson's rho | .002 |
p value | .982 | |
Graduation grade | Pearson's rho | .149* |
p value | .034 | |
Lie & Defense | Pearson's rho | -.058 |
p value | .414 | |
Self-esteem relative to parents | Pearson's rho | .376** |
p value | .000 | |
Academic self-esteem | Pearson's rho | .459** |
p value | .000 | |
Social self-esteem | Pearson's rho | .246** |
p value | .000 | |
General self-esteem | Pearson's rho | .560** |
p value | .000 |
Discussion
The aim of this study was to adapt and analyze the psychometric properties of the RSES in a sample of high school students. The internal consistency was efficient and supported by the test’s reliability.
In this research, it is observed that there is a two-factor model, the same findings as Greenberger et al., Prezza et al. and Galanou et al.13 14 15. There are 5 positive and 5 negatives items. The 5 negative questions were reversed, therefore two factors were found, in comparison with Martin et al. and are related to each other 14.
According to statistical process, the RSES has significant correlation with the subscales of PANAS, negative and positive affect, the scale of self-esteem in Health indicators – Medical History- Daily Routine- Quality and Way of life Questionnaire (Darviri and Varvogli) which is not yet validated, the academic performance of students and the subscales of CFSEI-3.
The survey showed that positive and negative affect have significant correlation with self- esteem. In specific, positive affect is related with higher self- esteem and vice versa 16 17. Furthermore, the survey indicates that academic performance correlates with self-esteem. The students with high self-esteem are more willing and active to participate in the process of learning and teaching, whereas the students with low self-esteem prefer to be “neutral” and passive to this process 18 19.
Concerning sociodemographic variables, the lack of correlation of RSES with parents’ marital situation and their educational level most likely reflect the inability of RSES to reflect their influence adolescents’ self-esteem which is opposed to the finding that higher educational level of parents positively influences the adolescents’ self-esteem 20. Furthermore, it isn’t observed any statistical correlation between gender and RSES. Nevertheless, previous research has shown that adolescent males have higher self-esteem, oppose to females 21. Moreover, there wasn’t any statistical correlation amongst siblings and self-esteem.
Conclusions
To summarize, the main purpose of this research was to validate the Rosenberg Self-esteem Questionnaire in a different age group, 12-18 years old. According to the results, this scale can reflect the self-esteem of adolescents, likewise the subscale of Health indicators – Medical History- Daily Routine- Quality and Way of life Questionnaire (Darviri and Varvogli). The questionnaire’s criterion validity is confirmed.
The RSES is short and easily to administer. The Greek version of RSES is comprehensible to the ages from 12 to 18. It can be administered to groups of students at the same time. Further future comparisons with other tools concerning psychological measures is strongly encouraged.
FOOTNOTES - BIBLIOGRAPHY
- ROSENBERG M. Society and the Adolescent Self-Image: Princeton University Press 1965. 321 p.[↩][↩][↩][↩]
- Ferguson SMH. Understanding Peace and Conflict Through Social Identity Theory2016.[↩]
- Campbell JD. Self-esteem and clarity of the self-concept. Journal of Personality and Social Psychology. Campbell, Jennifer D.: 538-49.[↩][↩]
- Harter S. Developmental perspectives on the self-system. In E. M. Hetherington. psychology Hoc, editor 1983.[↩][↩]
- Wozniak RH. Introduction to The Principles of Psychology[↩]
- Harter S. Causes and Consequences of Low Self-Esteem in Children and Adolescents: Springer, Boston; 1993.[↩]
- Martín-Albo J1 NJ, Navarro JG, Grijalvo F. The Rosenberg Self-Esteem Scale: translation and validation in university students. Span J Psychol. 2007.[↩]
- Hurter S. Distinguished contributions in psychology. The construction of the self: A developmental perspective. New York, NY, US: Guilford Press.; 1999.[↩]
- Kiviruusu O HT, Aro H, Marttunen M, Haukkala A. Self-esteem growth trajectory from adolescence to mid-adulthood and its predictors in adolescence. Adv Life Course Res. 2015 Mar.[↩]
- Brunsman BA. Review of the Culture-Free Self-Esteem Inventories, third edition.2003. 274-6 p.[↩]
- Battle J. Culture-Free Self-Esteem Inventories Examiner’s Manual. Austin, editor2002.[↩]
- GD S. Goal Orientation, Academic Achievement, and Depression: Evidence in Favor of a Revised Goal Theory Framework. Journal of Educational Psychology. 2005.[↩]
- Greenberger E, Chen, Ch., Dmitrieva, J., & Farruggia, S. P. Item-Wording and the Dimensionality of the Rosenberg Self-Esteem Scale: Do They Matter? Personality and Individual Differences2003. 1241-54 p.[↩]
- Martin-Albo J, Nuniez JL, Navarro JG, Grijalvo F. The Rosenberg Self-Esteem Scale: translation and validation in university students. The Spanish journal of psychology. 2007;10(2):458-67.[↩][↩]
- Christina Galanou MG, Evangelos Alexopoulos, Christina Darviri. Rosenberg Self-Esteem Scale Greek Validation on Student Sample. Scientific Research Publishing. 2014.[↩]
- Cohen M. Happiness and humour. A medical perspective. Australian family physician. 2001;30(1):17-9.[↩]
- Baumeister RF, Smart, L., & Boden, J. M. . Relation of Threatened Egotism to Violence and Aggression: The Dark Side of High Self-Esteem. . Psychological Review. 1996;103:5-33.[↩]
- James D. Wiggins ELSaRWW. The Relationship of Self-Esteem to Grades, Achievement Scores, and Other Factors Critical to School Success. American School Counselor Association. 1994;41:239-44.[↩]
- Iqbal Ahmad AZ, Sehat Ullah and Azghar Ali. Relationship between Self-Esteem and Academic Achievements of Students: A Case of Government Secondary Schools in District Swabi, KPK, Pakistan. International J Soc Sci & Education. 2013;3(2).[↩]
- Soyer MT, Ergin I, Gursoy ST. Effects of social determinants on food choice and skipping meals among Turkish adolescents. Asia Pacific journal of clinical nutrition. 2008;17(2):208-15.[↩]
- Quatman T, Watson CM. Gender differences in adolescent self-esteem: an exploration of domains. The Journal of genetic psychology. 2001;162(1):93-117.[↩]