Legalization of Bride measure to detect talented children in kindergarten in Damascus governorate: تقنين مقياس برايد PRIDE للكشف عن الأطفال الموهوبين بمرحلة الروضة بمحافظة دمشق

This research aims to identify the methods of detection and diagnosis of gifted children in pre-school stage, where a modified Syrian image was developed on the BRIDE scale for the detection of gifted in pre-school stage, with indications of validity, stability, and effectiveness of the Syrian environment paragraphs. The process of preparing the scale included a number of stages and procedures, represented in preparing an image of the scale and reviewing it by a number of arbitrators in the Department of Special Education and Educational and Psychological Measurement and Evaluation, and then applying that image to a sample of 100 boys and girls representing a number of kindergartens in Damascus governorate. Then, the data resulting from the application process was analyzed, and indications were reached about the discriminatory honesty, as it was found that there is a difference in favor of the first group (higher) whose average is greater, and this indicates that the scale is characterized by a discriminatory ability in favor of the higher group in the total score of the scale, The validity of the inter-correlations was studied and it was found that most of the correlations of the items of the scale are significant at the significance level (0.01) and the significance level (0.05), and the spoken honesty was studied with the significance of another criterion, which is the Stanford test, which shows the fifth standardized picture on the Syrian environment and fig. The values ​​of the correlation of the verbal knowledge test with the domains of the Pride scale and its total score ranged between (0.819-0.387), while we notice the correlation values ​​with the matrix test (0.836-0.318). As for the indicators of scale stability, it was calculated in two ways, namely, the repeat method (0.915) and the half-segment method (0.892).

Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Psychological Measurement

Fuzzy comprehensive evaluation (FCE) is an artificial evaluation technique based on fuzzy mathematics, with real and accurate evaluation results that are extensively utilized in psychology and other fields. Hence, a technique is needed for assessing Likert scale data using fuzzy mathematics. This study examines the operators and weight distribution of the variables while individuals perform a complete and comprehensive evaluation and apply a genetic algorithm (GA) to determine the corresponding weight. Genetic processes based on population adaptation and evolution fundamentals have been hugely successful in solving problems and producing optimal solutions a long time ago. Furthermore, we measure psychological data from the Likert scale and analyze it using a fluid-based GA for a complete psychological assessment. Students of various genders used different compound operators and weight distribution to evaluate the instant noodle completely. This reflects the fact that the employment of a GA-based fuzzy comprehensive evaluation in psychological measurement and consumer psychology study is beneficial. The results show that the fuzzy comprehensive evaluation method based on the GA can effectively analyze the psychological measurement data of the Likert scale.

Denying Descartes and wary of Wittgenstein: Response to Franz

In his article, “‘Are Psychological Attributes Quantitative?’ is not an Empirical Question: Conceptual Confusions in the Measurement Debate,” Franz (2021) concludes that psychological measurement does not rest on empirical hypotheses but rather on linguistic deceptions. His major premise is that psychometrics is inherently Cartesian. History shows otherwise: the mantras of operationism and the rituals of construct validity were intended to exorcise psyche from psychometrics. These mainstays of psychometrics ensured that theoretical constructs were more frequently dispositional concepts than they were mental concepts. It is with the latter, however, especially with attempts to measure currently occurring mental states, such as anxiety, that Franz’s argument looks more promising, but nevertheless it fails because it rests upon Wittgenstein’s views about the grammar of mental discourse. I conclude that conceptual analysis, realistically construed and applied to mental concepts, may show that they exclude quantitative structure. Despite that, it is always possible that empirical research might elicit quantitative-friendly revisions of mental concepts.

Construction of Mental Health Education Model Based on Computer Multimedia Group Psychological Measurement

Modern people's concept of health is more comprehensive; in addition to physical health, they focus on mental health even more. Computer multimedia group psychological measurement is introduced, and a mental health education model is constructed in this paper. The model includes three interrelated levels: mechanism level, evaluation level, and target level. It emphasizes the key and core role of mental quality in mental health. It advocates incorporating mental quality into the evaluation and diagnosis system of the overall state of individual mental health, combines the classified qualitative assessment and quantitative assessment, and arranges appropriate prevention and intervention measures according to different types of individuals. Practice has proved that this method is effective.

“Are psychological attributes quantitative?” is not an empirical question: Conceptual confusions in the measurement debate

Critics of psychological measurement have accused quantitative psychologists of ignoring the empirical hypothesis that psychological phenomena are quantitative (Michell), or have claimed that it is impossible in principle to find out whether psychological phenomena are actually quantitative (Trendler). By drawing on Bennett and Hacker (2003), I argue that both criticisms do not go far enough because they sidestep the fundamental conceptual problem of the measurement debate: It is impossible to give concrete formulations of the question “Are psychological attributes quantitative?” without transgressing the boundaries of meaningful language. Conceptual confusions and questionable philosophical assumptions have contributed to the misguided idea that the quantity of psychological phenomena must or can be demonstrated empirically. First, the measurement debate is characterized by misleading examples and ambiguous terminology. Second, the idea of psychological measurement is inherently Cartesian. In summary, psychological measurement is even more problematic than Michell and Trendler have argued.

Heuristics as a new way of adjusting the end market value

Subject. The study deals with heuristics as measures of the emotional impact of people who judge about the value and the final result of the valuation. I review ranges of the value variance when influenced by irrational factors. From psychological perspectives, some phenomena are explained with a set of heuristics that exist as part of behavioral finance. Objectives. Referring to the completed studies, I implement elements of behavioral finance, such as heuristics into the method for assessing how financial decision-makers and their emotions influence the value. Methods. The article is based on methods of induction and deduction to process survey results. Results. The article reveals the content of key methods for measuring emotions of financial decision-maker, which conclude on the value, being influenced by heuristics. I demonstrate tools for implementing psychological measurement methods as part of valuation. Conclusions and Relevance. Considering heuristics of value decision-makers, the appraiser and the cost analyst approximate the valuation result to the real conditions, when market actors are irrational. Doing so, they contribute to the quality of the result of appraisal. The findings are applicable to the practice of appraisers, cost analysts, fundamental analysts. Heuristics enrich and expands the classical apparatus of valuation and increases its quality.

Lord–Wingersky Algorithm Version 2.5 with Applications

Item response theory scoring based on summed scores is employed frequently in the practice of educational and psychological measurement. Lord and Wingersky (Appl Psychol Meas 8(4):453–461, 1984) proposed a recursive algorithm to compute the summed score likelihood. Cai (Psychometrika 80(2):535–559, 2015) extended the original Lord–Wingersky algorithm to the case of two-tier multidimensional item factor models and called it Lord–Wingersky algorithm Version 2.0. The 2.0 algorithm utilizes dimension reduction to efficiently compute summed score likelihoods associated with the general dimensions in the model. The output of the algorithm is useful for various purposes, for example, scoring, scale alignment, and model fit checking. In the research reported here, a further extension to the Lord–Wingersky algorithm 2.0 is proposed. The new algorithm, which we call Lord–Wingersky algorithm Version 2.5, yields the summed score likelihoods for all latent variables in the model conditional on observed score combinations. The proposed algorithm is illustrated with empirical data for three potential application areas: (a) describing achievement growth using score combinations across adjacent grades, (b) identification of noteworthy subscores for reporting, and (c) detection of aberrant responses.

A critical review of antecedents of psychological measurement: Is it necessary to revisit or reorganized the foundations Psychometry?

The purpose of present essay was revisited and supplemented antecedents on psychological measurement and analyzed his foundations in a scientific perspective. This review includes since early great pioneers of measurement at the beginning of nineteen century to the principal contributions of psychometrics in the middle of twenty century. The researcher’ knowledge on the Science History in general and the analysis of theories and methodological antecedents of their discipline are very important to an integral scientific’ formation. The problems and challenges of science are showed an interdisciplinary approach that permits the comprehension of scientific concepts and methods, to improve and reorganized each discipline with a broad and new perspective. The roots of Psychometry included pioneers and contributors in Mathematical, Statistical, and Experimental Sciences, who’s had persisted with creativity in the development of theories, methods, models, technics and procedures to construct psychological measurements in social and behavioral sciences. Since the Rasch’ Model and the Item Response Theory, among others advances in multivariate statistics, the modern Psychometry have theories, models, applied strategies and methods to document validity and reliability evidence. Psychometrics today, counts with standards to guide best practices in test development and validation in behavioral sciences.