About this Research Topic
The present Research Topic targets at providing advances and developments in the area of measurement and the evaluation of instruments in the social sciences. It aims at providing the most recent methodologies that can improve the way we conceptualize measurement and contribute to both the evaluation and the improvement of our measures. There are several directions this Research Topic can take and some examples follow: (a) evaluation of the behavior of statistical indices via simulation, (b) applications related to very advanced methods such as multilevel SEM and invariance or the testing of DIF via MIMIC models, etc. (c) testing the contribution of both personal and situational factors that affect the validity of the observed score, (d) use of models that span both traditional statistics (linear model) and contemporary approaches (e.g., IRT).
The purpose of the present Research Topic “Advances in Psychometrics” targets at highlighting issues, practices, and methodologies that deal with the evaluation and/or improvement of measurement practices in the social sciences. Analytical approaches can span both traditional (Factor analysis model) and contemporary approaches (Item Response Theory) but are not limited to those. For example latent class models and/or other analytical techniques may also under specific circumstances evaluate the measurement of the latent construct. Submissions to the Research Topic can include applications using novel methodologies such as Multilevel Structural Equation Modeling, Multilevel Latent Class Analysis, Measurement Invariance using aggregate or multilevel data, the assessment and remediation techniques in the presence of differential item functioning (uniform and non-uniform) using various methodologies, investigation of the psychometric properties of instruments over time, methodologies to create and use brief forms of larger instruments, program codes for any of the above topics, how the above methods are affected by nested structures in the data, the evaluation of the behavior of statistical indices using simulation studies, as well as the investigation of situational and/or personal factors that may also affect measurement (but need to be directly linked to how they affect measurement). Lastly, approaches related to the evaluation of various aspects of reliability and validity in measurement are welcome. Linking evaluation of the above methodologies using specific software and inclusion of code or code extensions to current software are also welcome.
Thus, the aim of this Research Topic is to collect the experiences of the experts in measurement and we welcome the following types of articles:
- Original studies focused on new and advanced methodologies using applications
- Simulation studies evaluating the behavior of indices, power, sample size, etc.
- Meta-analyses on existing practices
- Opinion articles
The purpose of the present Research Topic “Advances in Psychometrics” targets at highlighting issues, practices, and methodologies that deal with the evaluation and/or improvement of measurement practices in the social sciences. Analytical approaches can span both traditional (Factor analysis model) and contemporary approaches (Item Response Theory) but are not limited to those. For example latent class models and/or other analytical techniques may also under specific circumstances evaluate the measurement of the latent construct. Submissions to the Research Topic can include applications using novel methodologies such as Multilevel Structural Equation Modeling, Multilevel Latent Class Analysis, Measurement Invariance using aggregate or multilevel data, the assessment and remediation techniques in the presence of differential item functioning (uniform and non-uniform) using various methodologies, investigation of the psychometric properties of instruments over time, methodologies to create and use brief forms of larger instruments, program codes for any of the above topics, how the above methods are affected by nested structures in the data, the evaluation of the behavior of statistical indices using simulation studies, as well as the investigation of situational and/or personal factors that may also affect measurement (but need to be directly linked to how they affect measurement). Lastly, approaches related to the evaluation of various aspects of reliability and validity in measurement are welcome. Linking evaluation of the above methodologies using specific software and inclusion of code or code extensions to current software are also welcome.
Thus, the aim of this Research Topic is to collect the experiences of the experts in measurement and we welcome the following types of articles:
- Original studies focused on new and advanced methodologies using applications
- Simulation studies evaluating the behavior of indices, power, sample size, etc.
- Meta-analyses on existing practices
- Opinion articles
Keywords: CFA, IRT, Rasch, Latent Class, Reliability, Validity, Evaluation of Measurement Error
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
