scholarly journals Verification of the Unidimensionality of Academic Delay of Gratification Scale in the Indian Context

The present study verifies the three models on the dimensionality of the construct academic delay of gratification measured with the academic delay of gratification scale prepared by Bembenutty and Karabenick (1996). Sample of the study comprises of 488 professional courses undergraduate students of Muslim minority community (277 boys and 211 girls) from law, engineering, education and pharmacy faculties of Sultan Ul Uloom Education Society, Banjara Hills, Hyderabad, Telangana, India. Exploratory factor analysis was conducted on the responses of the 10 items provided by the sample using SPSS Statistics Ver.23 to extract the factors of the construct. Confirmatory factor analysis conducted using SPSS Amos Ver.23 provided the goodness of fit measures for each of the models. The unidimensional model produced excellent fit indices. Also, one factor model satisfied Gorsuch (1983) criterion to further verify the unidimensional nature of the construct, where the percentage of variance explained by factor 1 was nearly thrice when compared by the percentage of variance explained by the next subsequent factor 2. Monte Carlo principal component analysis method also revealed single factor for this variable. Implications of the findings are discussed.

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajib Chakraborty

The present study is an attempt to conduct factor analysis of the Academic Delay of Gratification Scale (ADOGS) for college students, with 10 items, prepared by Bembenutty and Karabenick (1998), on Indian professional courses students. 461 students (256 boys and 205 girls) from engineering, pharmacy, law and education professional courses of Sultan Ul Uloom Education Society, Hyderabad, voluntarily participated in the study, out of which 336 students (190 boys and 146 girls) were part of exploratory factor analysis. With the help of SPSS Statistics Ver.23, Principal Axis Factor extraction method and Varimax rotation, two factors were extracted. Monte Carlo PCA Parallel Analysis was used to settle for one factor explaining 16% variance. The reliability of the instrument using Cronbach’s Alpha was found to be 0.715. SPSS Amos Ver. 23 was used to confirm the factor structure and establish within-network construct validity of the instrument using Fit index tests like Chi test p value, DF, CMIN/DF, TLI, CFI, IFI, NFI,RMR and RMSEA from the data of 125 students (66 boys and 59 girls), followed by between network validity based on construct validation approach using Pearson’s product moment correlation the data of 136 students (100 boys and 36 girls) measuring their academic delay of gratification and emotional intelligence. There were sufficient evidences to establish that this instrument in its present form can be administered on Indian urban students for the measurement of academic delay of gratification.


2016 ◽  
Vol 73 (2) ◽  
pp. 135-145
Author(s):  
Nina Hadziahmetovic ◽  
Sabina Alispahic ◽  
Djenita Tuce ◽  
Enedina Hasanbegovic-Anic

Background/Aim. In (counter)transference relationship therapist?s interpersonal style, implying the perceived relation of therapist to a client (patient) in terms of control, autonomy, care and positive feedback, has been shown to be important. The aim of our study was to assess the relationship between therapist?s interpersonal style and clients? personality self-reports. Within therapist?s interpersonal style, preliminary validation of the Therapist?s Interpersonal Style Scale has been conducted, which included double translation method, exploratory factor analysis, confirmatory factor analysis, as well as the reliability tests of the derived components. Methods. This research was conducted on a group of 206 clients, attending one of the four psychotherapy modalities: psychoanalysis, gestalt therapy, cognitive-behavioral and systemic family therapy. Beside Therapist?s Interpersonal Style Scale, Big Five Questionnaire and Therapy Benefit Scale were administered, showing good internal consistency. Results. Principal component analysis of therapist?s interpersonal style singled out two components Supportive Autonomy and Ignoring Control, explaining 42% of variance. Two-factor model of the therapist?s styles was better fitted in confirmatory factor analysis than the original 4-factor model. Structural model showing indirect and direct effects of therapist?s interpersonal styles on selfreports in clients indicates good fitness (?2(12) = 8.932, p = 0.709; goodness-of-fit index = 0.989), with Ignoring Control having direct effect on Stability, Supportive Autonomy on Therapy Benefit, and Therapy Benefit on Plasticity. Conclusion. The results of this study indicate the importance of further research on therapist?s interpersonal style, as well as further validation of the instrument that measures this construct. Besides, a client?s perception that the therapy is being helpful could instigate more explorative and approach-oriented behavior, what indirectly might contribute to a client?s stability.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Bothaina Ahemd Attal ◽  
Fawziah Kassim Al-Ammar ◽  
Mohammed Bezdan

The study was conducted with the aim to assess the psychometric measures of an adapted Arabic version of the Epworth Sleepiness Scale (ESS) among medical students at Sana’a University, Yemen. The cross-sectional study targeted 360 students (males: 176; females: 184) from the preclinical 3rd year (N: 197) and the final clinical year (N: 163). Participants self-filled an Arabic and slightly modified version of the 8-item Epworth Sleepiness Scale. Exploratory Principal Component Analysis (PCA) and Confirmatory Factor Analyses (CFA) were conducted on two equal subsets of the sample (N: 180 each). The PCA yielded a two-dimension model subsequently confirmed by factor analysis. The first dimension was grouped on three items while the second dimension had five items reflecting the respondents’ propensity to sleep during “interactive situations” and “sitting and lying,” respectively. The model had an acceptable goodness of fit measures for the overall ESS (CMINDF=2.362, CFI=0.91, IFI=0.92) and acceptable reliability indicators (factor 1 α=0.65, factor 2 α=0.62). However, due to weak variance explanation (0.07) of item 6 (sitting and talking) in factor 1, analysis was repeated excluding this item. The 7-item model was also two-dimensional, valid, and reliable. The reliability indicators were acceptable with α=0.65 for factor 1 (4 items of interactive situations) and 0.62 for factor 2 (3 items of sitting) and overall α=0.68. Overall, the ESS is a useful tool. Factor analysis produced a two-factor model of 7 items with good validity and reasonable reliability that can be used in diagnosing daytime sleepiness among young Yemeni adults.


2020 ◽  
Author(s):  
Panwen Zhang ◽  
Zirong Ouyang ◽  
Shulin Fang ◽  
Jiayue He ◽  
Lejia Fan ◽  
...  

Abstract Background: The Personality Inventory for DSM-5 Brief Form (PID-5-BF) is a 25-item measuring tool evaluating maladaptive personality traits for the diagnosis of personality disorders(PDs). As a promising scale, its impressive psychometric properties have been verified in some countries, however, there have no studies about the utility of PID-5-BF in Chinese settings. The current study aimed to explore the maladaptive personality factor model which was culturally adapted in China and examine psychometric properties of the Personality Inventory for DSM-5 Brief Form among Chinese undergraduate students and clinical patients.Methods: 7155 undergraduate students and 451 clinical patients completed the Chinese version of PID-5-BF. 228 students were chosen randomly for test-retest reliability at a 4-week interval. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to discover the most suitable construct in Chinese, measurement invariance(MI), internal consistency, and external validity were also calculated.Results: An exploratory six-factor model was supported more suitable in both samples(Undergraduate sample: CFI = 0.905, TLI = 0.888, RMSEA = 0.044, SRMR = 0.039; Clinical sample: CFI = 0.904, TLI = 0.886, RMSEA = 0.047, SRMR = 0.060), adding a new factor“Interpersonal Relationships”. Measurement invariance across non-clinical and clinical sample was established (configural, weak, strong MI, and partial strict MI). Aside from acceptable internal consistency (Undergraduate sample: alpha=0.84, MIC=0.21; Clinical sample: alpha=0.86, MIC=0.19) and test-retest reliability(0.73), the association with 220-item PID-5 was significant(r = 0.93, p < 0.01), and six PDs measured by Personality diagnostic questionnaire-4+ (PDQ-4+) were correlated with expected domains of PID-5-BF.Conclusions: The PID-5-BF is a convenient and useful screening tool for personality disorders with a novel six-factor model in Chinese settings, with the main difference for the Negative Affect domain.


2022 ◽  
pp. 003329412110636
Author(s):  
Bruno Faustino

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.


2011 ◽  
Vol 30 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Gørill Haugan ◽  
Toril Rannestad ◽  
Helge Garåsen ◽  
Randi Hammervold ◽  
Geir Arild Espnes

Purpose: Self-transcendence, the ability to expand personal boundaries in multiple ways, has been found to provide well-being. The purpose of this study was to examine the dimensionality of the Norwegian version of the Self-Transcendence Scale, which comprises 15 items. Background: Reed’s empirical nursing theory of self-transcendence provided the theoretical framework; self-transcendence includes an interpersonal, intrapersonal, transpersonal, and temporal dimension. Design: Cross-sectional data were obtained from a sample of 202 cognitively intact elderly patients in 44 Norwegian nursing homes. Results: Exploratory factor analysis revealed two and four internally consistent dimensions of self-transcendence, explaining 35.3% (two factors) and 50.7% (four factors) of the variance, respectively. Confirmatory factor analysis indicated that the hypothesized two- and four-factor models fitted better than the one-factor model (c x2, root mean square error of approximation, standardized root mean square residual, normed fit index, nonnormed fit index, comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index). Conclusions: The findings indicate self-transcendence as a multifactorial construct; at present, we conclude that the two-factor model might be the most accurate and reasonable measure of self-transcendence. Implications: This research generates insights in the application of the widely used Self-Transcendence Scale by investigating its psychometric properties by applying a confirmatory factor analysis. It also generates new research-questions on the associations between self-transcendence and well-being.


2015 ◽  
Vol 5 (1) ◽  
pp. 155-169 ◽  
Author(s):  
Sarah McGrory ◽  
John M. Starr ◽  
Susan D. Shenkin ◽  
Elizabeth J. Austin ◽  
John R. Hodges

Background: The Addenbrooke's Cognitive Examination (ACE) is used to measure cognition across a range of domains in dementia. Identifying the order in which cognitive decline occurs across items, and whether this varies between dementia aetiologies could add more information to subdomain scores. Method: ACE-Revised data from 350 patients were split into three groups: Alzheimer's type (n = 131), predominantly frontal (n = 119) and other frontotemporal lobe degenerative disorders (n = 100). Results of factor analysis and Mokken scaling analysis were compared. Results: Principal component analysis revealed one factor for each group. Confirmatory factor analysis found that the one-factor model fit two samples poorly. Mokken analyses revealed different item ordering in terms of difficulty for each group. Conclusion: The different patterns for each diagnostic group could aid in the separation of these different types of dementia.


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