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Purpose

Measurement invariance issues should be considered during test construction. In this paper, we provide a conceptual overview of measurement invariance and describe how the concept is implemented in several different statistical approaches. Typical applications look for invariance over things such as mode of administration (paper and pencil vs. computer based), language/translation, age, time, and gender, to cite just a few examples. To the extent that the relationships between items and constructs are stable/invariant, we can be more confident in score interpretations.

Methods

A series of simulated examples are reported which highlight different kinds of non-invariance, the impact it can have, and the effect of appropriately modeling a lack of invariance. One example focuses on the longitudinal context, where measurement invariance is critical to understanding trends over time. Software syntax is provided to help researchers apply these models with their own data.

Results

The simulation studies demonstrate the negative impact an erroneous assumption of invariance may have on scores and substantive conclusions drawn from naively analyzing those scores.

Conclusions

Measurement invariance implies that the links between the items and the construct of interest are invariant over some domain, grouping, or classification. Examining a new or existing test for measurement invariance should be part of any test construction/implementation plan. In addition to reviewing implications of the simulation study results, we also provide a discussion of the limitations of current approaches and areas in need of additional research.
  相似文献   
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Background

In order to contribute to the fight against the pediatric HIV infection, we have assessed, through a study in which we have systematically proposed to carry out children's testing, the rate of acceptability and the feasibility of children's HIV testing during the routine activities of the department. We have also analyzed the reasons for the acceptability or the refusal of the child's HIV testing by the accompanying person.

Methods

The study took place from May to September 2015 including all the parents/legal guardians of any child aged 0 to 14 years coming for a consultation or who was hospitalized in the Pediatric Department of Souro Sanou Teaching Hospital. Counseling sessions conducted by community health workers focused on informing and proposing the principle of child testing. After obtaining the verbal and informed consent of the accompanying person, the first test was performed with Determine® by a hospital health worker. A second SD Bioline®/ImmunoCombII® test was performed if the first test was positive. With children aged less than 18 months, after a positive antibody test, we resorted to PCR for confirmation.

Results

A total of 848 accompanying persons, 568 of whom were female, underwent a pre-test interview during which the HIV test was offered to them. The mean age of accompanying persons was 30 (25.5 to 38) years; 747 accompanying persons (88.1%) accepted the testing of their child. We have found an influence of the accompanying person's religion (P = 0.02) and the type of accompanying person on the acceptability of children's testing. Mothers were more willing to accept the test compared to other accompanying persons (P = 0.002). The main reason for refusing the child's testing was the absence of one of the child's parents, mainly the father whose opinion was needed. The test was positive for HIV1 in 10 children.

Conclusion

In health centers, getting the informed consent from parents to test their children is a big challenge. However, our study shows that this is possible, through the high rate of acceptability obtained.  相似文献   
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