scholarly journals Psychometric analysis of the Salutogenic Health Indicator Scale (SHIS) in adolescents

2016 ◽  
Vol 45 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Pernilla Garmy ◽  
Agneta Berg ◽  
Eva K. Clausson ◽  
Peter Hagell ◽  
Ulf Jakobsson
Keyword(s):  
Psychometric Properties ◽  
Assessment Tool ◽  
Sleep Problems ◽  
Classical Test Theory ◽  
A Priori ◽  
Test Theory ◽  
Measurement Properties ◽  
Health Indicator ◽  
Adolescents And Adults ◽  
Item Scores

Aim: The aim of this study was to test the psychometric properties of the Salutogenic Health Indicator Scale (SHIS) in an adolescent population. Methods: The investigation was performed among Swedish students aged 13–15 years ( n = 817; 58% girls). The SHIS was assessed for respondent acceptability, and its psychometric properties were evaluated according to classical test theory (regarding unidimensionality, targeting, reliability, and external construct validity). Results: The adolescents found it easy to complete the questionnaire, which was completed in an average of 4 minutes. Exploratory factor analysis, which is based on polychoric correlations, identified one factor, supporting the instrument’s unidimensionality. Floor/ceiling effects were ⩽ 3.3%. Reliability estimates yielded a Cronbach’s alpha value of 0.93; the test–retest reliability ( n = 50; 2-week interval) coefficients were 0.89 for the total SHIS score and 0.52–0.79 for item scores. Spearman correlations with other variables were based on a priori expectations (self-rated general health, 0.595; depressive symptoms, −0.773; anxiety, −0.577; and sleep problems, 0.519). Conclusions: Our observations support both the acceptability and the psychometric properties of the SHIS as a brief, unidimensional assessment tool for salutogenic health in adolescents. Further studies using modern test theory are needed to better understand the measurement properties of the SHIS, including the functioning of its response categories and its comparability between adolescents and adults.

The Effect of Alternative Scoring Procedures on the Measurement Properties of a Self-Administered Depression Scale

2019 ◽  
Vol 35 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Noboru Iwata ◽  
Akizumi Tsutsumi ◽  
Takafumi Wakita ◽  
Ryuichi Kumagai ◽  
Hiroyuki Noguchi ◽  
...  
Keyword(s):  
Classical Test Theory ◽  
Depression Scale ◽  
Psychometric Testing ◽  
Epidemiologic Studies ◽  
Test Theory ◽  
Measurement Properties ◽  
Irt Model ◽  
Response Alternatives ◽  
Polytomous Item Response ◽  
Θ Point

Abstract. To investigate the effect of response alternatives/scoring procedures on the measurement properties of the Center for Epidemiologic Studies Depression Scale (CES-D) which has the four response alternatives, a polytomous item response theory (IRT) model was applied to the responses of 2,061 workers and university students (1,640 males, 421 females). Test information functions derived from the polytomous IRT analyses on the CES-D data with various scoring procedures indicated that: (1) the CES-D with its standard (0-1-2-3) scoring procedure should be useful for screening to detect subjects with “at high-risk” of depression if the θ point showing the highest information corresponds to the cut-off point, because of its extremely higher information; (2) the CES-D with the 0-1-1-2 scoring procedure could cover wider range of depressive severity, suggesting that this scoring procedure might be useful in cases where more exhaustive discrimination in symptomatology is of interest; and (3) the revised version of CES-D with replacing original positive items into negatively revised items outperformed the original version. These findings have never been demonstrated by the classical test theory analyses, and thus the utility of this kind of psychometric testing should be warranted to further investigation for the standard measures of psychological assessment.

Psychometric properties of the Mastery Scale-Chinese version: Applying classical test theory and Rasch analysis

2013 ◽  
Vol 20 (6) ◽  
pp. 404-411 ◽  
Author(s):  
Yun-Ling Chen ◽  
Ping-Chuan Hsiung ◽  
Lyinn Chung ◽  
Shing-Chia Chen ◽  
Ay-Woan Pan
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Classical Test Theory ◽  
Chinese Version ◽  
Test Theory ◽  
Classical Test

Item response theory

2015 ◽  
Author(s):  
David L. Streiner ◽  
Geoffrey R. Norman ◽  
John Cairney
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Traditional Approach ◽  
Classical Test Theory ◽  
Test Theory ◽  
Response Theory ◽  
Advantages And Disadvantages ◽  
The Past ◽  
Classical Test

Over the past few decades, there has been a revolution in the approach to scale development. Called item response theory (IRT), this approach challenges the notion that scales must be long in order to be reliable, and that psychometric properties of a scale derived from one group of people cannot be applied to different groups. This chapter provides an introduction to IRT, and discusses how it can be used to develop scales and to shorten existing scales that have been developed using the more traditional approach of classical test theory. IRT also can result in scales that have interval-level properties, unlike those derived from classical test theory. Further, it allows people to be compared to one another, even though they may have completed different items, allowing for computer-adapted testing. The chapter concludes by discussing the advantages and disadvantages of IRT.

The Development and Validation of the Cognitions of Internet Sexual Offending (C-ISO) Scale

Sexual Abuse ◽  
2019 ◽  
Vol 32 (8) ◽  
pp. 907-930 ◽  
Author(s):  
Sarah Paquette ◽  
Franca Cortoni
Keyword(s):  
Psychometric Properties ◽  
Item Response ◽  
Sexual Offending ◽  
Classical Test Theory ◽  
Test Theory ◽  
Future Research ◽  
The Internet ◽  
Sexual Activities ◽  
Sexual Offenses ◽  
Development And Validation

Tools designed to measure the cognitions of individuals who engage in sexual activities with children over the Internet are either based on knowledge about men who had committed contact sexual offenses or cognitive phenomena not specifically associated to offending behaviors. Thus, there is no validated tool specifically designed to assess the offense-supportive cognitions of men who use the Internet to sexually offend children. This study developed and validated the Cognitions of Internet Sexual Offending (C-ISO) scale. A sample of 241 men with online and contact sexual as well as with nonsexual offenses completed the C-ISO scale and its psychometric properties, and latent structure was analyzed using both Classical Test Theory (CTT) and Item Response Theory (IRT), resulting in a final version containing 31 items. The analyses indicate that the C-ISO has excellent psychometric properties and discriminates men with online sexual offenses from those with contact sexual and nonsexual offenses. Implications of the findings for clinical practice and future research are discussed.

scholarly journals The necessity of applying Rasch measurement theory in questionnaire-based public health research

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H S Finbråten ◽  
A L Kleppang ◽  
A M Steigen
Keyword(s):  
Public Health ◽  
Psychometric Properties ◽  
Health Research ◽  
Measurement Theory ◽  
Classical Test Theory ◽  
Public Health Research ◽  
Rasch Measurement ◽  
Test Theory ◽  
Rasch Measurement Theory ◽  
Classical Test

Abstract Background Questionnaires are frequently used in public health research. In order to provide valid and reliable results to generate recommendations for practice and policies, scales with sound psychometric properties are required. Classical test theory such as factor analysis is most frequently used to assess the psychometric properties of scales. However, classical test theory may have limitations in confirming the validity of scales. Only Rasch measurement theory meet the requirements of fundamental measurement, such as additivity, invariance, sufficiency and specific objectivity. The objective is to exemplify how Rasch measurement theory can be used to evaluate the psychometric properties of a scale. Validation of the Hopkins Symptom Checklist-10 is used as an example. Methods This study is based on cross-sectional data from the Youth Data Survey. In total, 6777 adolescents responded to a web-based questionnaire. Data collection was carried out in lower and upper secondary schools in Norway during 2018. The data were analysed using the partial credit parameterization of the unidimensional Rasch model. Results Preliminary results indicated that the scale had acceptable reliability (person separation index: 0.82). However, one pair of items shows response dependence. The targeting could have been better (mean person location: -1.445). All items had ordered thresholds. Three items under-discriminated. Several items displayed differential item functioning with regard to gender and school level. Conclusions Applying Rasch measurement theory measurement problems that would go undetected using classical test theory approaches were observed. Scales used in public health research should be thoroughly validated applying Rasch measurement theory before the data are used to support claims about public health and used to provide recommendations for policy and practice. Key messages Public health practice and policy should be based on information from valid and reliable scales. Rasch measurement theory should be used to evaluate psychometric properties of scales used in public health research.

A systematic review of evidence on psychometric properties of information literacy tests

2017 ◽  
Vol 66 (6/7) ◽  
pp. 442-455
Author(s):  
Khalid Mahmood
Keyword(s):  
Systematic Review ◽  
Psychometric Properties ◽  
Information Literacy ◽  
English Language ◽  
Discriminant Validity ◽  
Classical Test Theory ◽  
Internal Consistency Reliability ◽  
Test Theory ◽  
Content Type ◽  
Properties Of Information

Purpose This paper aims to present the results of a systematic review of the evidence on psychometric properties of information literacy (IL) tests. Design/methodology/approach A two-stage search strategy was used to find relevant studies in two subject and three general databases. A descriptive review of test characteristics and psychometric properties was presented. The review included 29 studies describing psychometric properties of 18 IL tests. Findings It was found that the classical test theory was applied for all tests. However, the item response theory was also applied in three cases. Most of the psychometric tests were developed in the USA using ACRL IL competency standards. The most commonly used psychometric analyses include content validity, discriminant validity and internal consistency reliability. Research limitations/implications Only studies in English language are included in this review. Practical implications The study recommends that standards should be developed for the use and reporting of psychometric measures in designing IL tests. Librarians need to be trained in psychometric analysis of tests. Originality/value It is the first study that systematically reviewed psychometric properties of IL tests. The findings are useful for librarians who are teaching IL courses.

Psychometric properties of QuickDASH – A classical test theory and Rasch analysis study

2011 ◽  
Vol 16 (2) ◽  
pp. 177-182 ◽  
Author(s):  
Franco Franchignoni ◽  
Giorgio Ferriero ◽  
Andrea Giordano ◽  
Francesco Sartorio ◽  
Stefano Vercelli ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Classical Test Theory ◽  
Test Theory ◽  
Analysis Study ◽  
Classical Test

scholarly journals Advanced psychometric testing on a clinical screening tool to evaluate insomnia: sleep condition indicator in patients with advanced cancer

2020 ◽  
Vol 18 (4) ◽  
pp. 343-349
Author(s):  
Chung-Ying Lin ◽  
Andy S. K. Cheng ◽  
Vida Imani ◽  
Mohsen Saffari ◽  
Maurice M. Ohayon ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Advanced Cancer ◽  
Roc Curve ◽  
Classical Test Theory ◽  
Test Theory ◽  
Operating Characteristics ◽  
Classical Test ◽  
Edmonton Symptom Assessment Scale ◽  
Sleep Condition ◽  
Condition Indicator

Abstract Purpose To examine the psychometric properties of the Sleep Condition Indicator (SCI) using different psychometric approaches [including classical test theory, Rasch models, and receiver operating characteristics (ROC) curve] among patients with advanced cancer. Methods Through convenience sampling, patients with cancer at stage III or IV (n = 859; 511 males; mean ± SD age = 67.4 ± 7.5 years) were recruited from several oncology units of university hospitals in Iran. All the participants completed the SCI, Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Hospital Anxiety and Depression Scale (HADS), General Health Questionnaire (GHQ), and Edmonton Symptom Assessment Scale (ESAS). In addition, 491 participants wore an actigraph device to capture objective sleep. Results Classical test theory [factor loadings from confirmatory factor analysis = 0.76–0.89; test–retest reliability = 0.80–0.93] and Rasch analysis [infit mean square (MnSq) = 0.63–1.31; outfit MnSq = 0.61–1.23] both support the construct validity of the SCI. The SCI had significant associations with ISI, PSQI, ESS, HADS, GHQ, and ESAS. In addition, the SCI has satisfactory area under ROC curve (0.92) when comparing a gold standard of insomnia diagnosis. Significant differences in the actigraphy measure were found between insomniacs and non-insomniacs based on the SCI score defined by ROC. Conclusion With the promising psychometric properties shown in the SCI, healthcare providers can use this simple assessment tool to target the patients with advanced cancer who are at risk of insomnia and subsequently provide personalized care efficiently.

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