Measuring Patterns of Self-Disclosure in Intercultural Friendship: Adjusting Differential Item Functioning Using Multiple-Indicators, Multiple-Causes Models

2012 ◽  
Vol 41 (2) ◽  
pp. 131-151 ◽  
Author(s):  
Yea-Wen Chen ◽  
Masato Nakazawa
Keyword(s):  
Differential Item Functioning ◽  
Self Disclosure ◽  
Multiple Indicators ◽  
Item Functioning ◽  
Intercultural Friendship ◽  
Multiple Causes

scholarly journals Measurement Disparities in Frailty Among Kidney Transplant Patients: Impact of Differential Item Functioning

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 447-447
Author(s):  
Nadia Chu ◽  
Alden Gross ◽  
Xiaomeng Chen ◽  
Qian-Li Xue ◽  
Karen Bandeen-Roche ◽  
...  
Keyword(s):  
Weight Loss ◽  
Differential Item Functioning ◽  
Kidney Transplant ◽  
Frailty Phenotype ◽  
Multiple Indicators ◽  
Transplant Patients ◽  
Black Candidates ◽  
Item Functioning ◽  
The Impact ◽  
Low Activity

Abstract Frailty is commonly measured for clinical risk stratification during transplant evaluation and is more prevalent among older, non-White kidney transplant (KT) patients. However, group differences may be partially attributable to misclassification resulting from measurement bias (differential item functioning/DIF). We examined the extent that DIF affects estimates of age, sex, and race differences in frailty (physical frailty phenotype/PFP) prevalence among 4,300 candidates and 1,396 recipients. We used Multiple Indicators Multiple Causes with dichotomous indicators to assess uniform DIF in PFP criteria attributable to age (≥65vs.18-64 years), sex, and race (Black vs.White). Among candidates (mean age=55 years), 41% were female, 46% were Black, and 19% were frail. After controlling for mean frailty level, females were more likely to endorse exhaustion (OR=1.20,p=0.003), but less likely to endorse low activity (OR=0.83,p=0.01). Younger candidates were more likely to endorse weight loss (OR=1.30,p=0.005), exhaustion (OR=1.60,p<0.001), and low activity (OR=1.80,p<0.001). Black candidates were more likely to endorse exhaustion (OR=1.25,p<0.001), but less likely to endorse weakness (OR=0.79,p<0.001). Among recipients (mean age=54 years), 40% were female, 39% were Black, and 15% were frail. Younger recipients were more likely to endorse weight loss (OR=1.55,p=0.005) and low activity (OR=1.61,p=0.02); however, no DIF was detected by sex or race. Results highlight the impact of DIF for specific PFP measures by age, sex, and race among candidates, but only by age for recipients. Further research is needed to ascertain whether candidate- and/or recipient-specific thresholds to correct for DIF could improve risk prediction and equitable access to KT for older, female, and Black candidates.

Differential Item Functioning of the Full and Brief Wisconsin Schizotypy Scales in Asian, White, Hispanic, and Multiethnic Samples and Between Sexes

Assessment ◽  
2017 ◽  
Vol 26 (6) ◽  
pp. 1001-1013 ◽  
Author(s):  
David C. Cicero ◽  
Elizabeth A. Martin ◽  
Alexander Krieg
Keyword(s):  
Differential Item Functioning ◽  
Structural Equation ◽  
Self Report ◽  
Equation Modeling ◽  
Modeling Framework ◽  
Magical Ideation ◽  
Item Functioning ◽  
Multiple Indicator ◽  
Wisconsin Schizotypy Scales ◽  
Multiple Causes

The Wisconsin Schizotypy Scales, including their brief versions, are among the most commonly used self-report measures of schizotypy. Although they have been used extensively in many ethnic groups, few studies have examined their differential item functioning (DIF) across groups. The current study included 1,056 Asian, 408 White, 476 Multiethnic, and 372 Hispanic undergraduates. Unidimensional models of the brief Magical Ideation Scale and Perceptual Aberration Scales fit the data well. For both scales, global tests of measurement invariance provided mixed evidence, but few of the items displayed DIF across ethnicities or between sexes within a multiple indicator multiple causes model. For the full versions of the scales and the brief Revised Social Anhedonia Scale, multiple indicator multiple causes models within an exploratory structural equation modeling framework found that few of the items had DIF. These findings suggest that some of the items may have different psychometric properties across groups, but most items do not.

scholarly journals Multidimensional Extension of Multiple Indicators Multiple Causes Models to Detect DIF

2016 ◽  
Vol 77 (4) ◽  
pp. 545-569 ◽  
Author(s):  
Soo Lee ◽  
Okan Bulut ◽  
Youngsuk Suh
Keyword(s):  
Sample Size ◽  
Type I Error ◽  
Interaction Model ◽  
Type I ◽  
Multiple Indicators ◽  
Item Functioning ◽  
Mean Differences ◽  
Latent Traits ◽  
Item Bundles ◽  
Multiple Causes

A number of studies have found multiple indicators multiple causes (MIMIC) models to be an effective tool in detecting uniform differential item functioning (DIF) for individual items and item bundles. A recently developed MIMIC-interaction model is capable of detecting both uniform and nonuniform DIF in the unidimensional item response theory (IRT) framework. The goal of the current study is to extend the MIMIC-interaction model for detecting DIF in the context of multidimensional IRT modelling and examine the performance of the multidimensional MIMIC-interaction model under various simulation conditions with respect to Type I error and power rates. Simulation conditions include DIF pattern and magnitude, test length, correlation between latent traits, sample size, and latent mean differences between focal and reference groups. The results of this study indicate that power rates of the multidimensional MIMIC-interaction model under uniform DIF conditions were higher than those of nonuniform DIF conditions. When anchor item length and sample size increased, power for detecting DIF increased. Also, the equal latent mean condition tended to produce higher power rates than the different mean condition. Although the multidimensional MIMIC-interaction model was found to be a reasonably useful tool for identifying uniform DIF, the performance of the model in detecting nonuniform DIF appeared to be questionable.

scholarly journals Pengaplikasian Multiple Indicator Multiple Causes (MIMIC) Model dalam Mendeteksi Differential Item Functioning (DIF) pada Alat Ukur Social Quality of Life

2019 ◽  
Vol 8 (1) ◽  
pp. 25-36
Author(s):  
Hasbi Wahyudi
Keyword(s):  
Quality Of Life ◽  
Differential Item Functioning ◽  
Mimic Model ◽  
Social Quality ◽  
Item Functioning ◽  
Patient Reported ◽  
Social Quality Of Life ◽  
Multiple Indicator ◽  
Multiple Causes

AbstractThis study aims to detect DIF (differential item functioning) on a quality of life measurement tool that measures one aspect, namely social quality of life. Social quality of life contains 24 items developed from the Patient Reported Outcomes Measurement Information System (PROMIS) by a National Institutes of Health (NIH). This measuring tool measures the quality of life in the social function domain of adolescent patients suffering from diseases or chronic medical conditions. Detection of DIF in this study uses a special case approach from CFA, namely CFA with covariate or multiple indicator multiple causes (MIMIC) models. This study involved 322 participants, 117 (36%) male participants and 205 (64%) female participants, with an age range between 13-23 years in Riau Province. Based on the results of the first order CFA on a set of social quality of life items there are 22 valid items. Then the MIMIC model analysis results found that the model is fit with data where the value of RMSEA = 0.048, so it is known two items that contain DIF, namely item 5 (0.135, P = 0.002) "I have a close friend" and item 23 (0.308, P = 0.002 ) "I hope to have lots of friends".Keywords: Social quality of life, MIMIC model, differential item functioningAbstrakPenelitian ini bertujuan untuk mendeteksi DIF (differential item functioning) pada alat ukur quality of life yang mengukur salah satu aspek yaitu social quality of life. Social quality of life berisi 24 item yang dikembangkan dari Patient Reported Outcomes Measurement Information System (PROMIS) oleh sebuah badan National Institutes of Health (NIH). Alaalat ukur ini mengukur kualitas hidup pada domain fungsi sosial pasien remaja yang menderita penyakit atau kondisi medis kronis. Pendeteksian DIF pada penelitian ini menggunakan pendekatan kasus khusus dari CFA, yakni CFA with covariate atau multiple indicator multiple causes (MIMIC) model. Penelitian ini melibatkan 322 partisipan, yakni sebanyak 117 (36%) partisipan laki-laki dan 205 (64%) partisipan perempuan, dengan rentang usia antara 13-23 tahun di Propinsi Riau. Berdasarkan hasil first order CFA pada sekumpulan item-item social quality of life terdapat 22 item yang valid. Kemudian hasil analisis model MIMIC ditemukan bahwa model fit dengan data dimana nilai RMSEA = 0.048, sehingga diketahui dua item yang mengandung DIF, yaitu item 5 (0.135, P = 0.002) “saya memiliki teman dekat” dan item 23 (0.308, P = 0.002) “saya berharap mempunyai banyak teman”.Kata kunci: Social quality of life, MIMIC model, differential item functioning

Erfassung von mathematischen Kompetenzen im Vorschulalter mit MARKO-D

Diagnostica ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 13-23
Author(s):  
Ariana Garrote ◽  
Elisabeth Moser Opitz
Keyword(s):  
Differential Item Functioning ◽  
Item Functioning

Zusammenfassung. In dieser Studie wurde der Test MARKO-D (Mathematik- und Rechenkonzepte im Vorschulalter–Diagnose) mit einer Stichprobe von Kindern aus der deutschsprachigen Schweiz ( N = 555) im ersten und zweiten Kindergartenjahr erprobt und es wurde analysiert, ob sich die Altersnormen der deutschen Stichprobe auf die Schweiz übertragen lassen. Zudem wurde der Test mit einer Teilstichprobe ( n = 87) hinsichtlich Messinvarianz über die Zeit untersucht. Die Ergebnisse des eindimensionalen Rasch-Modells zeigen, dass das Instrument für die Schweiz geeignet ist. Die Testleistungen hängen jedoch vom Kindergartenbesuch ab. Für die Schweiz müssten deshalb nebst Altersnormen auch Normen pro Kindergartenhalbjahr verwendet werden. Die Analyse mittels Differential Item Functioning ergab, dass 17 von 55 Items von großer Messvarianz über die Zeit betroffen sind. Um das Instrument für Längsschnittuntersuchungen einsetzen zu können, müsste es weiterentwickelt werden.

Differential Item Functioning in Brief Instruments of Disordered Eating

2019 ◽  
Vol 35 (6) ◽  
pp. 823-833 ◽  
Author(s):  
Desiree Thielemann ◽  
Felicitas Richter ◽  
Bernd Strauss ◽  
Elmar Braehler ◽  
Uwe Altmann ◽  
...  
Keyword(s):  
Differential Item Functioning ◽  
Disordered Eating ◽  
Structural Equation ◽  
Young Female ◽  
Eating Attitudes ◽  
Equation Model ◽  
German Population ◽  
Test Fairness ◽  
Item Functioning ◽  
Multiple Indicator

Abstract. Most instruments for the assessment of disordered eating were developed and validated in young female samples. However, they are often used in heterogeneous general population samples. Therefore, brief instruments of disordered eating should assess the severity of disordered eating equally well between individuals with different gender, age, body mass index (BMI), and socioeconomic status (SES). Differential item functioning (DIF) of two brief instruments of disordered eating (SCOFF, Eating Attitudes Test [EAT-8]) was modeled in a representative sample of the German population ( N = 2,527) using a multigroup item response theory (IRT) and a multiple-indicator multiple-cause (MIMIC) structural equation model (SEM) approach. No DIF by age was found in both questionnaires. Three items of the EAT-8 showed DIF across gender, indicating that females are more likely to agree than males, given the same severity of disordered eating. One item of the EAT-8 revealed slight DIF by BMI. DIF with respect to the SCOFF seemed to be negligible. Both questionnaires are equally fair across people with different age and SES. The DIF by gender that we found with respect to the EAT-8 as screening instrument may be also reflected in the use of different cutoff values for men and women. In general, both brief instruments assessing disordered eating revealed their strengths and limitations concerning test fairness for different groups.

An IRT Investigation of the Validity of Non-Patient Analogue Research Using the Beck Depression Inventory

1995 ◽  
Vol 11 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Sean M. Hammond
Keyword(s):  
Differential Item Functioning ◽  
Beck Depression Inventory ◽  
Rating Scale ◽  
Latent Trait ◽  
Scale Model ◽  
Item Functioning ◽  
Two Samples ◽  
Patient Groups ◽  
Analogue Research ◽  
Rating Scale Model

This paper presents an IRT analysis of the Beck Depression Inventory which was carried out to assess the assumption of an underlying latent trait common to non-clinical and patient samples. A one parameter rating scale model was fitted to data drawn from a patient and non-patient sample. Findings suggest that while the BDI fits the model reasonably well for the two samples separately there is sufficient differential item functioning to raise serious duobts of the viability of using it analogously with patient and non-patient groups.

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