A Psychometric Evaluation of the Achievement Goal Questionnaire–Revised in Singapore Secondary Students

2016 ◽  
Vol 35 (4) ◽  
pp. 424-436 ◽  
Author(s):  
Hoi Kwan Ning
Keyword(s):  
Psychometric Properties ◽  
Secondary Students ◽  
Achievement Goals ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Achievement Goal ◽  
Confirmatory Factor Analyses ◽  
Point Rating Scale ◽  
Confirmatory Factor ◽  
The Continuum

This study examined the psychometric properties of the Achievement Goal Questionnaire–Revised (AGQ-R) in a sample of Singapore secondary students ( N = 1,171). Confirmatory factor analyses provided support for the AGQ-R in measuring the four achievements goals delineated in the 2 × 2 framework. Measurement invariance across ethnic groups was supported via multigroup analysis. Multidimensional Rasch analysis revealed that only one item on the instrument showed a slight misfit, and the distribution of items also matched reasonably well with students’ achievement goals levels, though there were some students on the upper end of the continuum whose positions were not well-covered. Examination of the 5-point rating scale showed that while the response categories demonstrated monotonicity, two of the lower categories were not clearly differentiated. These findings suggest that the AGQ-R has adequate psychometric properties for use with school-aged students in Singapore, but a rating scale with fewer categories should be considered.

scholarly journals Investigation of the Statistical Anxiety Rating Scale Psychometric Properties with a Sample of Greek Students

2021 ◽  
Vol 10 (2) ◽  
pp. 116
Author(s):  
Konstantinos Lavidas ◽  
Dionysios Manesis ◽  
Vasilios Gialamas
Keyword(s):  
Psychometric Properties ◽  
Discriminant Validity ◽  
Rating Scale ◽  
Factor Model ◽  
Tertiary Education ◽  
Statistics Anxiety ◽  
Education Students ◽  
Confirmatory Factor Analyses ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor

The purpose of this study was to adapt the Statistics Anxiety Rating Scale (STARS) for a Greek student population. The STARS was administered to 890 Tertiary Education students in two Greek universities. It was performed a cross-validation study to examine the factorial structure and the psychometric properties with a series of confirmatory factor analyses. Results revealed a correlated six first-order factor model which provided the best fit to the data compared to a six-factor model with one superordinate factor. All six factors of the Greek version of the STARS presented convergent and discriminant validity and were internally consistent. Implications and limitations are discussed.

A Japanese Scale to Assess Anxiety Severity: Development and Psychometric Evaluation

2011 ◽  
Vol 41 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Chizu Mimura ◽  
Miho Nishioka ◽  
Noriyuki Sato ◽  
Ryoko Hasegawa ◽  
Ryu Horikoshi ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Rating Scale ◽  
Dynamic Range ◽  
Psychiatric Patients ◽  
Psychometric Evaluation ◽  
Anxiety Scale ◽  
Self Rating ◽  
Confirmatory Factor ◽  
Interview Guide ◽  
Hamilton Rating Scale

Objective: This study developed a Japanese self-rating anxiety scale, the Himorogi Self-rating Anxiety Scale (HSAS), and tested psychometric properties of its use in Japanese psychiatric patients. Methods: The process of developing the scale consisted of an intensive literature review, assessment of existing instruments, and detailed discussion on the content of the newly developed scale. Data for psychometric evaluation were collected from 419 outpatients of psychiatric clinics. The Hamilton Rating Scale for Anxiety Interview Guide (HAMA-IG) and the Sheehan Patient Rated Anxiety Scale (SPRAS) were used as standards against which the HSAS was compared. Results: Confirmatory factor analysis revealed a unifactorial nature for the HSAS and fewer insignificant items in the HSAS than the HAMA-IG and the SPRAS. Cronbach's alpha and test-retest coefficients indicated sufficient reliability. High correlation with the HAMA-IG and the SPRAS indicated evidence of convergence for the HSAS. ROC analysis showed high ability to distinguish between the presence and absence or remission of anxiety. Analysis of descriptive data suggested a larger dynamic range for the HSAS than the HAMA-IG and the SPRAS. Conclusions: The HSAS is a brief scale to assess anxiety severity, demonstrating evidence of good psychometric properties. It is recommended for use in research and clinical practice.

scholarly journals Validating the Functional, Communicative, and Critical Health Literacy Scale Using Rasch Modeling and Confirmatory Factor Analysis

2018 ◽  
Vol 26 (2) ◽  
pp. 341-363 ◽  
Author(s):  
Hanne Søberg Finbråten ◽  
Øystein Guttersrud ◽  
Gun Nordström ◽  
Kjell Sverre Pettersen ◽  
Anne Trollvik ◽  
...  
Keyword(s):  
Health Literacy ◽  
Rasch Model ◽  
Rating Scale ◽  
Three Dimensional ◽  
Rasch Modeling ◽  
Confirmatory Factor Analyses ◽  
Critical Health Literacy ◽  
Point Rating Scale ◽  
Confirmatory Factor

Background and Purpose:The functional, communicative, and critical health literacy (FCCHL) scale is widely used for assessing health literacy (HL) in people with chronic diseases, such as type 2 diabetes (T2DM). Despite related subscales, researchers continue to apply a consecutive modeling approach, treating the three subscales as independent. This article studies the psychometric characteristics of the FCCHL by applying multidimensional modeling approaches.Methods:Rasch modeling and confirmatory factor analyses were applied to responses (paper-and-pencil) from 386 adults with T2DM.Results:Using a six-point rating scale and a three-dimensional Rasch model, this study found that a 12-item version of the FCCHL reduced within-item bias and improved subscale reliability indexes.Conclusion:This study suggests a parsimonious 12-item version of the FCCHL. The data fit a three-dimensional Rasch model best.

An Abilities Assessment Instrument for Elderly Persons With Cognitive Impairment: Psychometric Properties and Clinical Utility

1998 ◽  
Vol 6 (1) ◽  
pp. 35-54 ◽  
Author(s):  
Pam Dawson ◽  
Donna L. Wells ◽  
David Reid ◽  
Souraya Sidani
Keyword(s):  
Cognitive Impairment ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Older Men ◽  
Assessment Instrument ◽  
Elderly Persons ◽  
Assessment Data ◽  
Confirmatory Factor ◽  
Valid Instrument

In this article the psychometric properties of an Abilities Assessment Instrument (AAI), developed to assess the self-care, social, interactional and interpretive abilities of older people with cognitive impairment (CI) related to dementia, are described. The sample consisted of 112 institutionalized older men with CI and 60 institutionalized older men without CI. The psychometric evaluation of the AAI indicated that: (a) it is reliable in terms of test-retest (Pearson’s r range .93-.99), interrater (Pearson’s r range .95-.99), and internal consistency evaluations (Cronbach’s alpha .90-.98), as well as through confirmatory factor analysis; and (b) that it is valid with respect to content validity (CVI 87.3%), concurrent validity (Pearson’s r correlations ranging from -.67-.80 on the London Psychogeriatric Rating Scale [LPRS], and from -.76-.85 on the Functional Assessment Stages Scale [FAST]), and construct validity with significant differences between subjects with and without CI (t values ranging from 5.13 -9.30). The AAI is a reliable and valid instrument that can be used to provide assessment data.

Psychometric Properties of the Statistics Anxiety Rating Scale

2002 ◽  
Vol 90 (1) ◽  
pp. 315-325 ◽  
Author(s):  
Mustafa Baloğlu
Keyword(s):  
Psychometric Properties ◽  
Internal Consistency ◽  
Rating Scale ◽  
State Universities ◽  
Statistics Anxiety ◽  
Point Rating Scale ◽  
Confirmatory Factor ◽  
Class Anxiety ◽  
Test Retest Reliability ◽  
Elementary Statistics

The Statistics Anxiety Rating Scale has 51 items, each scored on a 5-point rating scale to measure statistics anxiety with six subscales, Worth of Statistics, Interpretation Anxiety, Test and Class Anxiety, Computational Self-concept, Fear of Asking for Help, and Fear of Statistics Teachers. Psychometric properties included analyses of construct and concurrent validities an internal consistency and test-retest reliability. 221 college students (74% women; M age = 28 yr.) in elementary statistics courses at several southwestern state universities participated. The findings are consistent with previous reports and indicate adequate concurrent validity, internal consistency, and split-half reliability, but for construct validity confirmatory factor analysis yielded marginal support.

scholarly journals Testing the Mastery-Avoidance Construct in Achievement Goal Theory: A Meta-Analytic Confirmatory Factor Analysis (MA-CFA) of Two Achievement Goals Scales

2020 ◽  
Author(s):  
Kamden K Strunk ◽  
Wilson Lester ◽  
Forrest Lane ◽  
Payton Hoover ◽  
Jasmine Betties
Keyword(s):  
Adaptive Learning ◽  
Achievement Goals ◽  
Achievement Goal ◽  
Achievement Goal Theory ◽  
Goal Theory ◽  
Ongoing Debate ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Mastery Avoidance ◽  
Avoidance Goals

Achievement goal theory is a popular theoretical framework that has been widely used to understand the goals students hold regarding their academic work. This theoretical model has been subject to an ongoing debate regarding the number and nature of constructs it includes. Notable in such debates has been the inclusion or exclusion of mastery-avoidance goals. The purpose of this study was to conduct meta-analytic confirmatory factor analyses (MA-CFA) on two popular achievement goal measures, the Achievement Goal Questionnaire-Revised (AGQ-R) and the Patterns of Adaptive Learning Scales (PALS) achievement goals scales, to analyze the structure of these scales across published studies. The models were a better fit for the data without mastery-avoidance, and overall the data suggest researchers should consider excluding mastery-avoidance.

Psychometric evaluation of the Mobile Application Rating Scale (MARS) (Preprint)

2020 ◽  
Author(s):  
Yannik Terhorst ◽  
Paula Philippi ◽  
Lasse Sander ◽  
Dana Schultchen ◽  
Sarah Paganini ◽  
...  
Keyword(s):  
Health Care ◽  
Construct Validity ◽  
Mobile Application ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Confirmatory Factor ◽  
Health Domains ◽  
Psychometric Quality

BACKGROUND Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Consequently, instruments of high psychometric quality for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA in various health domains. Only few validation studies investigating its psychometric quality exist with selected samples of MHAs. No study has evaluated the construct validity of the MARS and concurrent validity to other instruments. OBJECTIVE This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS. METHODS MARS scoring data was pooled from 15 international app quality reviews to evaluate the psychometric properties of the MARS. The MARS measures app quality across four dimensions: engagement, functionality, aesthetics and information quality. App quality is determined for each dimension and overall. Construct validity was evaluated by assessing related competing confirmatory models that were explored by confirmatory factor analysis (CFA). A combination of non-centrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices was used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations between the MARS and 1) another quality assessment tool called ENLIGHT, and 2) user star-rating extracted from app stores were investigated. Reliability was determined using Omega. Objectivity was assessed in terms of intra-class correlation. RESULTS In total, MARS ratings from 1,299 MHA covering 15 different health domains were pooled for the analysis. Confirmatory factor analysis confirmed a bifactor model with a general quality factor and an additional factor for each subdimension (RMSEA=0.074, TLI=0.922, CFI=0.940, SRMR=0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC=0.82). The overall MARS rating was positively associated with ENLIGHT (r=0.91, P<0.01) and user-ratings (r=0.14, P<0.01). CONCLUSIONS he psychometric evaluation of the MARS demonstrated its suitability for the quality assessment of MHAs. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.

scholarly journals Patient-reported anxiety and depression measures for use in Indian head and neck cancer populations: a psychometric evaluation

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Chindhu Shunmugasundaram ◽  
Haryana M. Dhillon ◽  
Phyllis N. Butow ◽  
Puma Sundaresan ◽  
Mahati Chittem ◽  
...  
Keyword(s):  
Head And Neck ◽  
Convergent Validity ◽  
Psychometric Evaluation ◽  
Measurement Properties ◽  
Anxiety And Depression ◽  
Factor Analyses ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Culturally Adapted ◽  
Confirmatory Factor

Abstract Background Head and neck cancers (HNC) are one of the most traumatic forms of cancer because they affect essential aspects of life such as speech, swallowing, eating and disfigurement. HNCs are common in India, with over 100,000 cases being registered each year. HNC and treatment are both associated with considerable anxiety and depression. With increasing multinational research, no suitable measures in Indian languages are available to assess anxiety and depression in Indian HNC patients. This study evaluated the psychometric properties of cross-culturally adapted versions of Zung’s self-rating Anxiety Scale (SAS) and the Patient health questionnaire – 9 (PHQ-9) in Tamil, Telugu and Hindi speaking Indian HNC populations. Methods HNC patients were recruited from three tertiary cancer centres in India. Patients completed the cross-culturally adapted versions of SAS and PHQ-9. We assessed targeting, scaling assumptions, construct validity (exploratory and confirmatory factor analyses), convergent validity, and internal consistency reliability. Results The study sample included 205 Tamil, 216 Telugu and 200 Hindi speaking HNC patients. Exploratory and confirmatory factor analyses indicated a two-factor solution for PHQ-9 and four-factor solution for SAS in all three languages. Cronbach’s alpha coefficients ranged between 0.717 and 0.890 for PHQ-9 and between 0.803 and 0.868 for SAS, indicating good reliability. Correlations between hypothesized scales were as expected providing evidence towards convergent validity. Conclusions This first psychometric evaluation of the measurement properties of Tamil, Telugu and Hindi versions of the SAS and PHQ-9 in large, Indian HNC populations supported their use as severity and outcome measures across the disease and treatment continuum.

scholarly journals Validation and psychometric properties of the Indonesian version of the Fear of Missing Out Scale in adolescents

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Dian Veronika Sakti Kaloeti ◽  
Ayu Kurnia S ◽  
Valentino Marcel Tahamata
Keyword(s):  
Psychometric Properties ◽  
General Health ◽  
Goodness Of Fit ◽  
Online Survey ◽  
General Health Questionnaire ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Fear Of Missing Out ◽  
Confirmatory Factor ◽  
Fit Index

Abstract Background This study’s main purpose was to examine the psychometric properties of FoMOs’ adaptation among the Indonesian adolescents’ population. The second aim was to investigate the concurrent validity of the Indonesian version to provide evidence for the validity. Also, FoMOs’ difference level between demographic variance analyses was performed. Method The study involved a cross-sectional online survey design with 638 Indonesian adolescents aged 16–24 (M = 19.08, SD = 14.70). FoMO was measured by a 16-item that has been modified from the original 10-item. Exploratory and confirmatory factor analyses were carried out to study its scores’ evidence of structural validity. Besides, to study its scores’ evidence of convergent, discriminant, and predictive validity concerning other variables such as stress, anxiety, and depression (Depression and Anxiety Stress Scale-21), and general health condition (General Health Questionnaire Scale-12), correlation analyses were conducted. To study the sensitivity, we assessed the effect of sociodemographic and social media use on the scale’s ability to identify the population’s risk to the FoMO by conducting analyses of variance. The Cronbach alpha values (α = .93) indicated that internal consistency of the scale was at an adequate level. Results Exploratory factorial analyses revealed adequate adjustment for the new version of the scale showing the three factorial structures. Confirmatory factor analyses showed that the 12-item of Indonesian FoMO had a good fit (χ2/df = 289.324/51; goodness-of-fit index (GFI) = 0.928; RMSEA = 0.086; comparative fit index (CFI) = 0.915; normed fit index (NFI) = 0.899; parsimony normed fit index (PNFI) = .695; Tucker–Lewis index (TLI) = 0.890). Conclusion This study has shown that the modified 12-item Fear of Missing Out Scale is a valid and reliable instrument for Indonesian adolescents. It showed that the Indonesian version of Fear of Missing Out Scale has adequate psychometric properties to measure Indonesian adolescents’ online behavior.

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