Essential Unidimensionality Examination for Multicomponent Scales

2013 ◽  
Vol 73 (4) ◽  
pp. 581-600 ◽  
Author(s):  
Tenko Raykov ◽  
Steffi Pohl
Keyword(s):  
Essential Unidimensionality

Factor Structure of the Maslach Burnout Inventory–Educators Survey in a Polish-Speaking Sample

2017 ◽  
Vol 26 (3) ◽  
pp. 515-530 ◽  
Author(s):  
Anna Hawrot ◽  
Maciej Koniewski
Keyword(s):  
Factor Structure ◽  
Maslach Burnout Inventory ◽  
Personal Accomplishment ◽  
Primary School Teachers ◽  
Measurement Models ◽  
Confirmatory Factor ◽  
Practical Guidelines ◽  
Alternative Measurement ◽  
Essential Unidimensionality ◽  
Best Fit

This article investigates the psychometric properties of a mainstream burnout measure dedicated to teachers: the Maslach Burnout Inventory–Educators Survey (MBI-ES). The study used data gathered from a random sample of 1,206 primary school teachers in Poland to verify the construct validity of the MBI-ES. Eight alternative measurement models suggested in the literature were tested using confirmatory factor analysis. Contrary to many previous studies, this study did not support the oblique three-factor structure of the MBI-ES. A bifactor model with one general Burnout factor and three specific orthogonal factors of personal accomplishment, depersonalization, and emotional exhaustion showed best fit to the data. Additional analyses supported the measure’s essential unidimensionality. The results yield theoretical implications for construct reconceptualization and practical guidelines for researchers and practitioners.

Development of a Short-Form of the Medication Management Test: Evaluation of Dimensionality, Reliability, Information and Measurement Equivalence Using Latent Variable Models

2018 ◽  
Vol 26 (3) ◽  
pp. 483-511
Author(s):  
Jeanne A. Teresi ◽  
Katja Ocepek-Welikson ◽  
Mildred Ramirez ◽  
Robert Fieo ◽  
Terry Fulmer ◽  
...  
Keyword(s):  
Independent Living ◽  
Latent Variable ◽  
Short Form ◽  
Measurement Equivalence ◽  
Medication Management ◽  
Principal Component ◽  
Reliability Estimates ◽  
Item Functioning ◽  
Essential Unidimensionality ◽  
The Impact

Background and Purpose: The Medication Management Test (MMT) measures higher cognitive functioning. The aim of the analyses presented was to reduce assessment burden by developing a short-form version, and describe its psychometric properties. Methods: Factor analyses, item response theory (IRT), and differential item functioning (DIF) were performed to examine the dimensionality, reliability information, and measurement equivalence. Results: The ratio of the first two extracted eigenvalues from the exploratory principal component analysis was 7.62, indicating essential unidimensionality. Although one item “needs prompting for pill regime” evidenced DIF above the threshold for education and race/ethnicity, the magnitude was relatively small and the impact minimal. IRT-based reliability estimates were high (>0.80) across all subgroups. Conclusions: Because medication management is an important task associated with independent living, it is critical to assess whether medications can be self-administered safely.

scholarly journals unival: An FA-based R Package For Assessing Essential Unidimensionality Using External Validity Information

The R Journal ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 427
Author(s):  
Pere,J. Ferrando ◽  
Urbano Lorenzo-Seva ◽  
David Navarro-Gonzalez
Keyword(s):  
External Validity ◽  
R Package ◽  
Essential Unidimensionality

Confirming Testlet Effects

2012 ◽  
Vol 36 (2) ◽  
pp. 104-121 ◽  
Author(s):  
Christine E. DeMars
Keyword(s):  
False Alarm ◽  
Sample Size ◽  
Statistical Significance ◽  
Information Criteria ◽  
False Alarms ◽  
Parameter Estimates ◽  
Significance Tests ◽  
Item Responses ◽  
False Alarm Rates ◽  
Essential Unidimensionality

A testlet is a cluster of items that share a common passage, scenario, or other context. These items might measure something in common beyond the trait measured by the test as a whole; if so, the model for the item responses should allow for this testlet trait. But modeling testlet effects that are negligible makes the model unnecessarily complicated and risks capitalization on chance, increasing the error in parameter estimates. Checking each testlet to see if the items within the testlet share something beyond the primary trait could therefore be useful. This study included (a) comparison between a model with no testlets and a model with testlet g, (b) comparison between a model with all suspected testlets and a model with all suspected testlets except testlet g, and (c) a test of essential unidimensionality. Overall, Comparison b was most useful for detecting testlet effects. Model comparisons based on information criteria, specifically the sample-size adjusted Bayesian Information Criteria (SSA-BIC) and BIC, resulted in fewer false alarms than statistical significance tests. The test of essential unidimensionality had true hit rates and false alarm rates similar to the SSA-BIC when the testlet effect was zero for all testlets except the studied testlet. But the presence of additional testlet effects in the partitioning test led to higher false alarm rates for the test of essential unidimensionality.

scholarly journals Assessing measurement equivalence of the Danish and Dutch Four-Dimensional Symptom Questionnaire using differential item and test functioning analysis

2020 ◽  
pp. 140349482094207
Author(s):  
Berend Terluin ◽  
Andreas Hoff ◽  
Lene Falgaard Eplov
Keyword(s):  
Mental Health ◽  
Sick Leave ◽  
Effect Size ◽  
Mental Health Problems ◽  
Measurement Equivalence ◽  
Study Groups ◽  
Health Problems ◽  
Symptom Questionnaire ◽  
Scale Scores ◽  
Essential Unidimensionality

Aims: The Dutch Four-Dimensional Symptom Questionnaire (4DSQ) measures distress, depression, anxiety and somatisation, facilitating the distinction between stress-related problems and psychiatric disorder in primary and occupational health care. The aim of the study was to examine the measurement equivalence across the Danish and Dutch 4DSQ. Methods: Danish 4DSQ data were obtained from a cohort of Danish citizens on sick leave for mental-health problems. Dutch 4DSQ data were obtained from a cohort of Dutch employees on sick leave and a cohort of general practice attenders suspected of having mental-health problems. The study samples were matched on age and sex. The 4DSQ scales were assessed for essential unidimensionality using confirmatory factor analysis. Measurement equivalence of the 4DSQ across the groups was assessed using differential item and test functioning (DIF and DTF) analysis. Results: The study groups each consisted of 1363 people (63% female, Mage=42 years). The 4DSQ scales proved essentially unidimensional. DIF was detected in 20 items. In terms of Cohen’s effect size, DIF was mostly small or moderate. In terms of effect size, the mean effect on the scale score (DTF) was negligible. Nevertheless, it is recommended to adjust some of the cut-off points for two Danish 4DSQ scales to retain the meaning of these cut-off points in Dutch respondents. Conclusions: The Danish version of the 4DSQ measures the same constructs as the original Dutch questionnaire. Twenty items functioned differently in Danish respondents than in Dutch respondents, but this had only a small impact on the scale scores.

scholarly journals An Assessment of Stout's Index of Essential Unidimensionality

1996 ◽  
Vol 20 (1) ◽  
pp. 1-14 ◽  
Author(s):  
John Hattie ◽  
Krzysztof Krakowski ◽  
H. Jane Rogers ◽  
Hariharan Swaminathan
Keyword(s):  
Essential Unidimensionality

Validating the Polish Adaptation of the 11-Item De Jong Gierveld Loneliness Scale

2013 ◽  
Vol 29 (2) ◽  
pp. 129-139 ◽  
Author(s):  
Pawel Grygiel ◽  
Grzegorz Humenny ◽  
Slawomir Rebisz ◽  
Piotr Świtaj ◽  
Justyna Sikorska
Keyword(s):  
Construct Validity ◽  
Internal Consistency ◽  
Two Dimensions ◽  
Social And Emotional ◽  
Loneliness Scale ◽  
Structure Reliability ◽  
Validity Criterion ◽  
Crosscultural Adaptation ◽  
Polish Adaptation ◽  
Essential Unidimensionality

The aim of this study was to translate into Polish and establish the psychometric properties of the 11-item De Jong Gierveld Loneliness Scale (DJGLS). The translation process followed the recent guidelines for the crosscultural adaptation of questionnaires and was tested through analysis of differential item functioning (DIF) by the use of the Poly-SIBTEST method and bilingual groups. The essential unidimensionality was checked by bifactor analysis. Reliability was assessed by internal consistency and homogeneity analysis, and external construct validity by correlation with several external scales. The research indicated no differences in item performance between the final Polish and English versions, and confirmed the earlier findings indicating that the DJGLS measures two dimensions of loneliness (social and emotional) which generalize into a higher-order factor of a general sense of loneliness (bifactor structure). Reliability (α = .89) and homogeneity (H = .47) proved to be high. Research showed that the instrument has a satisfactory validity criterion: Correlation with the UCLA Loneliness Scale r = .82; with Rosenberg’s Self-Esteem Scale r = –.56; and with the Beck Depression Inventory r = .46 (all p < .01). The Polish adaptation of the DJGLS thus presents a bifactor structure, with good levels of internal consistency, homogeneity, and construct validity.

scholarly journals Evidence for essential unidimensionality of AUDIT and measurement invariance across gender, age and education. Results from the WIRUS study

2019 ◽  
Vol 202 ◽  
pp. 87-92 ◽  
Author(s):  
Jens Christoffer Skogen ◽  
Mikkel Magnus Thørrisen ◽  
Espen Olsen ◽  
Morten Hesse ◽  
Randi Wågø Aas
Keyword(s):  
Measurement Invariance ◽  
Essential Unidimensionality

scholarly journals Searching for G: A New Evaluation of SPM-LS Dimensionality

2019 ◽  
Vol 7 (3) ◽  
pp. 14 ◽  
Author(s):  
Garcia-Garzon ◽  
Abad ◽  
Garrido
Keyword(s):  
Specific Factor ◽  
General Factor ◽  
Graph Analysis ◽  
Reliable Measure ◽  
Initial Validation ◽  
Specific Factors ◽  
Raven's Progressive Matrices ◽  
Essential Unidimensionality ◽  
Future Work ◽  
Short Versions

There has been increased interest in assessing the quality and usefulness of short versions of the Raven’s Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of g. Nonetheless, the results provided in the initial validation questioned the assumption of essential unidimensionality for SPM-LS scores. We tested this hypothesis through two different statistical techniques. Firstly, we applied exploratory graph analysis to assess SPM-LS dimensionality. Secondly, exploratory bi-factor modelling was employed to understand the extent that potential specific factors represent significant sources of variance after a general factor has been considered. Results evidenced that if modelled appropriately, SPM-LS scores are essentially unidimensional, and that constitute a reliable measure of g. However, an additional specific factor was systematically identified for the last six items of the test. The implications of such findings for future work on the SPM-LS are discussed.

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