scholarly journals Assessing the Psychometric Properties of the Chinese Return-to-Work Self-Efficacy Questionnaire Using Rasch Model Analysis

2021 ◽  
Author(s):  
Feng Liu ◽  
Zhen-xiang Zhang ◽  
Bei-lei Lin ◽  
Zhi-guang Ping ◽  
Yong-xia Mei
Keyword(s):  
Return To Work ◽  
Psychometric Properties ◽  
Rasch Model ◽  
Self Efficacy ◽  
Rating Scale ◽  
Item Difficulty ◽  
Model Analysis ◽  
Self Report ◽  
Chinese Patients ◽  
Middle Aged

Abstract Background Self-efficacy is a significant predictor of return to work and affects the confidence of survivors to return to work after illness. The Return-to-work self-efficacy (RTW-SE) questionnaire is a self-report questionnaire to assess confidence in returning to work with good reliability and validity. The aim of this study was to translate and cross-culturally adapt the RTW-SE questionnaire into Chinese and examine the psychometric properties among young and middle-aged stroke survivors using rasch model analysis.Methods The cross-cultural adaptation and translation procedures followed a dual-translation approach. The psychometric properties of the RTW-SE questionnaire were examined using Rasch model analysis by Winsteps software. The unidimensionality and local independence were analyzed by principal component analysis and standardized residual correlations. Category diagnostics were performed for scale function, and the item fit, reliability, and separation were also validated. Item-person maps were used to examine the distribution and matching of item’s difficulty and person ability. Finally, the differential item functioning (DIF) was used to measure gender-related group equivalence.Results A total of 366 participants aged 23–59 years were recruited from three communities in Zhengzhou. The RTW-SE questionnaire demonstrated unidimensionality and a 5-point Likert rating scale was more appropriate to investigate young and middle-aged stroke survivors’self-efficacy. There was a good fit for the items with both person and item reliabilities greater than 0.8 and separation indices of 3.75 and 3.94, respectively. The item difficulty was identified from the item-person map as not covering person ability, but the scale did not have an age-related DIF.Conclusions The results confirm evidence of appropriate psychometric properties of the RTW-SE questionnaire and can be used as a reliable and validated instrument for measuring self-efficacy to return to work in young and middle-aged Chinese patients with stroke.

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

scholarly journals Cross-cultural adaptation and psychometric properties of the Kessler Distress Scale (K10): an application of the rating scale model

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Evandro Morais Peixoto ◽  
Daniela Sacramento Zanini ◽  
Josemberg Moura de Andrade
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Self Report ◽  
Clinical Population ◽  
Scale Model ◽  
General Factor ◽  
Measurement Models ◽  
Distress Scale ◽  
Rating Scale Model

Abstract Background The Kessler Distress Scale (K10) is a self-report scale for the assessment of non-specific psychological distress in the general and clinical population. Because of its ease of application and good psychometric properties, the K10 has been adapted to several cultures. The present study seeks to adapt the K10 to Brazilian Portuguese and estimate its validity evidence and reliability. Methods A total of 1914 individuals from the general population participated in the study (age = 34.88, SD = 13.61, 77.7% female). The adjustment indices were compared among three different measurement models proposed for the K10 through confirmatory factor analysis (CFA). The items’ properties were analyzed by Andrich’s Rating Scale Model (RSM). Furthermore, evidence based on relations to other variables (depression, stress, anxiety, positive and negative affects, and satisfaction with life) was estimated. Results CFA indicated the adequacy of the bifactor model (CFI= 0.985; TLI= 0.973; SMR= 0.019; RMSEA= 0.050), composed of two specific factors (depression and anxiety) and one general factor (psychological distress), corresponding to the theoretical hypothesis. Additionally, it was observed multiple-group invariance by gender and age range. The RSM provided an understanding of the organization of the continuum represented by the psychological distress construct (items difficulty), which varied from −0.89 to 1.00; good adjustment indexes; infit between 0.67 and 1.32; outfit between 0.68 and 1.34; and desirable reliability, α= 0.87. Lastly, theoretically coherent associations with the external variables were observed. Conclusions It is concluded that the Brazilian version of the K10 is a suitable measure of psychological distress for the Brazilian population.

scholarly journals Psychometric properties of a condition-specific PROM for the psychosocial consequences of Labelling hypertension by using Rasch analysis

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
János Valery Gyuricza ◽  
Karl Bang Christensen ◽  
Ana Flávia Pires Lucas d’Oliveira ◽  
John Brodersen
Keyword(s):  
Psychometric Properties ◽  
Rasch Model ◽  
Content Validity ◽  
Model Analysis ◽  
Qualitative Assessment ◽  
Future Research ◽  
Item Pool ◽  
Measurement Models ◽  
Item Functioning ◽  
Psychosocial Consequences

Abstract Background A previous qualitative assessment of the psychosocial consequences of labelling hypertension describes the diagnosis of hypertension as a labelling event with potential unintended negative long-term psychosocial consequences (labelling effects). Until now, the benefits of diagnosing hypertension have been far more reported than the harms. To obtain the net result of the preventive interventions for cardiovascular disease, such as diagnosing and treating mild hypertension, assessing benefits and harms in the most comprehensive way possible is necessary, including the psychosocial consequences of labelling. When measuring psychosocial consequences of labelling hypertension, a questionnaire with high content validity and adequate psychometric properties is needed. Objectives The aim of this study was to describe the psychometric parameters of face and content-validated pool of items. Other objectives were also to screen the item pool by using Rasch model analysis and confirmatory factor analysis (CFA) for identifying such items with sufficient fit to the hypothesised models. Methods We surveyed the pool of items as a draft questionnaire to Brazilians recruited via social networks, sending e-mails, WhatsApp® messages and posting on Facebook®. The inclusion criteria were to be older than 18 years old, to be healthy and to have only hypertension. We used Rasch model analysis to screen the item pool, discarding items that did not fit the hypothesised domain. We searched for local dependence and differential item functioning. We used CFA to confirm the derived measurement models and complementarily assessed reliability using Cronbach’s coefficient alpha. Results The validation sample consisted of 798 respondents. All 798 respondents completed Part I, whereas 285 (35.7%)—those with hypertension—completed Part II. A condition-specific questionnaire with high content validity and adequate psychometric properties was developed for people labelled with hypertension. This measure is called ‘Consequences of Labelling Hypertension Questionnaire’ and covers the psychosocial consequences of labelling hypertension in two parts, encompassing a total of 71 items in 15 subscales and 11 single items. Conclusion We developed a tool that can be used in future research involving hypertension, especially in scenarios of screening, prevention, population strategies and in intervention studies. Future use and testing of the questionnaire may still be required.

scholarly journals Students’ Confidence Instrument Analysis in Poetry Learning through Rasch Model

2020 ◽  
Vol 13 (1) ◽  
pp. 289-299
Author(s):  
Nandang Rusmana ◽  
Anne Hafina ◽  
Risnawati Oktavia Wardhany ◽  
Dodi Suryana
Keyword(s):  
Elementary School ◽  
Rasch Model ◽  
Item Difficulty ◽  
Sampling Technique ◽  
Self Report ◽  
Cluster Sampling ◽  
Partial Credit Model ◽  
Cross Sectional ◽  
Confidence Levels ◽  
Student Confidence

Background: Students' low confidence becomes the reasons for conducting this research whereas it is one of the most important skills needed to develop ability and potency. Objective: This research aims to obtain information about Students' confidence levels in Bahasa Indonesia's subject, especially in poetry learning. Materials and Methods: This research employed a cross-sectional study with the quantitative approach. Participants of this research were 45 fifth grade students in Cibeureum Elementary School and 50th grade students in Kotabaru Elementary School 2019/2020 academic year. The self-report questionnaires were used as a research instrument to measure Students' confidence levels with the cluster sampling technique. Data were analyzed using the Partial Credit Model (PCM). These parameters are identified with the category coefficients and the scoring function of the Rasch model for polychotomous responses in which the latent trait is assumed uni-dimensional. Results: The trial results showed that as many as 13 items proved to be compatible with PCM instruments, the reliability of the instrument was 0.74, the item difficulty index started from -0.36 to 0.36 which meant that all items in the category were sufficient. Conclusion: This development instrument is valid and really measures the effect of student confidence on poetry learning, so it can be used to measure student confidence in poetry learning.

scholarly journals Unhappy While Depressed: Examining the Dimensionality, Reliability and Validity of the Subjective Happiness Scale in a Spanish Sample of Patients with Depressive Disorders

2021 ◽  
Vol 18 (20) ◽  
pp. 10964
Author(s):  
Albert Feliu-Soler ◽  
Javier de de Diego-Adeliño ◽  
Juan V. Luciano ◽  
Ioseba Iraurgi ◽  
Carlo Alemany ◽  
...  
Keyword(s):  
Depressive Disorder ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Depressive Disorders ◽  
Rating Scale ◽  
Self Report ◽  
Clinical Samples ◽  
Subjective Happiness ◽  
Subjective Happiness Scale

Despite the considerable amount of research evidence on the significant role of subjective happiness on mental health, there is no psychometric study of the Subjective Happiness Scale (SHS) in psychiatric samples. This study was aimed at exploring the psychometric properties of the SHS in a Spanish sample of patients with depressive disorders. Participants were 174 patients with a depressive disorder (70% diagnosed as major depressive disorder) who completed the SHS, the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16), and the EQ-5D Visual Analogue Scale (EQ-5D VAS). Depressive symptoms were also assessed by means of the 17-item Hamilton Depression Rating Scale (HDRS17) and the Clinical Global Impression-Severity (CGI-S) Scale. Dimensionality, internal consistency reliability, construct validity, and responsiveness to change of the SHS were examined. Confirmatory factor analysis replicated the original one-factor structure of the scale. The SHS exhibited good-to-excellent results for internal consistency (α = 0.83) and for convergent [EQ-5D VAS (r = 0.71)] and divergent [QIDS-SR16 (r = −0.72), HDRS17 (r = −0.60) and CGI-S (r = −0.61)] construct validity. The ability of the SHS to differentiate between depression severity levels as well as its responsiveness to clinical change were both highly satisfactory (p < 0.001 in both cases). The SHS retained the soundness of psychometric properties showed in non-clinical samples in a sample of patients with depressive disorders, which supports its use as a reliable and valid outcome measure in the treatment of such disorders.

scholarly journals Validation of the Spanish adaptation of the School Atitude Assessment Survey-Revised using multidimensional Rasch analysis

2016 ◽  
Vol 33 (1) ◽  
pp. 74 ◽  
Author(s):  
Alejandro Veas ◽  
Juan Luis Castejón ◽  
Raquel Gilar ◽  
Pablo Miñano
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Latent Trait ◽  
Principal Component ◽  
Analysis Data ◽  
Test Theory ◽  
Assessment Survey

<p>The School Attitude Assessment Survey-Revised (SAAS-R) was developed by McCoach &amp; Siegle (2003b) and validated in Spain by Author (2014) using Classical Test Theory. The objective of the current research is to validate SAAS-R using multidimensional Rasch analysis. Data were collected from 1398 students attending different high schools. Principal Component Analysis supported the multidimensional SAAS-R. The item difficulty and person ability were calibrated along the same latent trait scale. 10 items were removed from the scale due to misfit with the Rasch model. Differential Item Functioning revealed no significant differences across gender for the remaining 25 items. The 7-category rating scale structure did not function well, and the subscale goal valuation obtained low reliability values. The multidimensional Rasch model supported 25 item-scale SAAS-R measures from five latent factors. Therefore, the advantages of multidimensional Rasch analysis are demonstrated in this study.</p>

The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation

2004 ◽  
Vol 34 (1) ◽  
pp. 73-82 ◽  
Author(s):  
M. H. TRIVEDI ◽  
A. J. RUSH ◽  
H. M. IBRAHIM ◽  
T. J. CARMODY ◽  
M. M. BIGGS ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Symptom Severity ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Summary Score ◽  
Self Report ◽  
Energy Concentration ◽  
Clinician Rating ◽  
Highly Correlated

Background. The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the recently developed Quick Inventory of Depressive Symptomatology (QIDS), a brief 16-item symptom severity rating scale that was derived from the longer form. Both the IDS and QIDS are available in matched clinician-rated (IDS-C30; QIDS-C16) and self-report (IDS-SR30; QIDS-SR16) formats.Method. The patient samples included 544 out-patients with major depressive disorder (MDD) and 402 out-patients with bipolar disorder (BD) drawn from 19 regionally and ethnicically diverse clinics as part of the Texas Medication Algorithm Project (TMAP). Psychometric analyses including sensitivity to change with treatment were conducted.Results. Internal consistencies (Cronbach's alpha) ranged from 0·81 to 0·94 for all four scales (QIDS-C16, QIDS-SR16, IDS-C30 and IDS-SR30) in both MDD and BD patients. Sad mood, involvement, energy, concentration and self-outlook had the highest item-total correlations among patients with MDD and BD across all four scales. QIDS-SR16 and IDS-SR30 total scores were highly correlated among patients with MDD at exit (c=0·83). QIDS-C16 and IDS-C30 total scores were also highly correlated among patients with MDD (c=0·82) and patients with BD (c=0·81). The IDS-SR30, IDS-C30, QIDS-SR16, and QIDS-C16 were equivalently sensitive to symptom change, indicating high concurrent validity for all four scales. High concurrent validity was also documented based on the SF-12 Mental Health Summary score for the population divided in quintiles based on their IDS or QIDS score.Conclusion. The QIDS-SR16 and QIDS-C16, as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression.

scholarly journals Construct validity and differential item functioning of the PHQ-9 among health care workers: Rasch Analysis approach

2020 ◽  
Author(s):  
Surin Jiraniramai ◽  
Tinakon Wongpakaran ◽  
Chaisiri Angkurawaranon ◽  
Wichuda Jiraporncharoen ◽  
Nahathai Wongpakaran
Keyword(s):  
Health Care ◽  
Psychometric Properties ◽  
Differential Item Functioning ◽  
Health Care Workers ◽  
Rating Scale ◽  
Psychometric Property ◽  
Rasch Measurement ◽  
Self Report ◽  
Item Functioning ◽  
Care Workers

Abstract Background The Patient Health Questionnaire (PHQ-9) is a widely used self-report questionnaire to screen depression. Its psychometric property has been tested in many populations including health care workers. We used Rasch measurement theory to examine the psychometric properties of PHQ-9 regarding item difficulty, item fit and the differences between subgroups of respondents classified by sex, age, education and alcohol user status, based on the same overall location of participants.Methods In total, 3,204 health care workers of Maharaj Nakorn Chiang Mai Hospital participated and were administered the PHQ-9. Rating scale Rasch measurement modeling was used to examine the psychometric properties of the PHQ-9.Results The data fitted well to the Rasch model and no violations of the assumption of unidimensionality were observed. All 9 items could form a unidimensional construct of overall depressive severity. Suicidal ideation was the least endorsed while sleep problem was the most. No disordered category and threshold of the rating response were observed. No locally dependent items were observed. No items were found to show differential item functioning across age, sex, education and alcohol consumption. The item-person Wright map showed that the PHQ-9 did not target well with the sample, and a wide gap suggesting few or no items exist to differentiate participants at a certain ability level among the PHQ-9 items.Conclusion The PHQ-9 can be used as a screening questionnaire for major depressive disorder as its psychometric property was verified based on Rasch measurement model. The findings are generally consistent with related studies in other populations. However, the PHQ-9 may be unsuitable for assessing depressive symptoms among health care workers who have low levels of depression.

Evaluation Properties of the Chinese Version of the Caring Factor Survey-Caring of Manager According to Classical Test Theory and Item Response Theory

2019 ◽  
Vol 23 (4) ◽  
pp. 275-283
Author(s):  
Ling Wang ◽  
John W. Nelson
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Rating Scale ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Chinese Version ◽  
Test Theory ◽  
Response Theory ◽  
Classical Test

The aim of the study is to evaluate psychometric properties of the Chinese version of Caring Factor Survey-Caring of Manager (CFS-CM), which evaluated by using with classical test theory (CTT) and item response theory (IRT). CTT analyses evaluate include internal consistence reliability, test–retest reliability and construct validity. IRT analyses were conducted to test the unidimensionality, item fit, item difficulty, the reliability, and rating scale analysis. CTT showed good psychometric properties of the CFS-CM. However, IRT revealed some problems of category level. Taking the above issue into consideration, it could be beneficial to perfect the CFS-CM in the future.

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