The older population is increasing. As age increases, many changes occur in individuals’ lives, physically, socially, psychologically, and this situation varies from individual to individual. The uncertainty about how this period will pass can cause anxiety in individuals. Therefore, valid and reliable tools are needed to investigate ageing anxiety and potential factors that increase this anxiety, especially in the ageing population. This article presents the results of a Turkish validity and reliability study of the Aging Anxiety Scale for Middle-Aged Adults. The study sample consisted of 293 middle-aged adults. Content validity, face validity and construct validity methods were applied to measure validity. Item analysis, Cronbach’s alpha and test-retest methods were used to measure internal consistency in the reliability analysis. The content validity index of the Aging Anxiety Scale for Middle-Aged Adults was found to be 0.97 based on expert opinion. Model fit indices were calculated as χ2 = 473.583, df = 275, χ2/df = 1.722, CFI = 0.95, GFI = 0.89, IFI = 0.95, TLI = 0.94, RMSEA = 0.05, RMR = 0.06 and SRMR = 0.05. The analysis results indicated that the scale model values were within accepted limits and that the 5-sub-factor and 26-item structure of the scale was confirmed. It was concluded that the Turkish version of the Aging Anxiety Scale for Middle-Aged Adults was a valid and reliable measurement tool to enable Turkish society to determine middle-aged individuals’ ageing concerns.

The rise of empirical methods has had a polarising effect on legal studies in Europe. On the one hand, quantitative empiricists have frequently dismissed traditional doctrinal scholarship as unscientific and its insights as unreliable. On the other hand, many doctrinal scholars are apprehensive about the perceived displacement of domain expertise from legal research caused by the empirical turn. To bridge the gap between the two camps and address their respective concerns, we propose a wider adoption of expert coding as a methodology for legal research. Expert coding is a method for systematic parsing and representation of phenomena such as legal principles in a structured form, using researchers’ subject matter expertise. To facilitate the uptake of expert coding, we provide a step-by-step guide that addresses not only the coding process but also fundamental prerequisites such as conceptualisation, operationalisation and document selection. We argue that this methodological framework leverages legal scholars’ expertise in a more impactful way than traditional doctrinal analyses. We illustrate each step and methodological principle with examples from European Union law.

This methodological synthesis surveys study and instrument quality in L2 pronunciation research by scrutinizing methodological practices in designing and employing scales and rubrics that measure accentedness, comprehensibility, and intelligibility. A comprehensive coding scheme was developed, and searches were conducted in several databases. A total of 380 articles (409 samples) that employed 576 target instruments and appeared in peer-reviewed journals from 1977 to 2023 were synthesized. Results demonstrated, among other findings, strengths in reporting several listener and speaker characteristics. Areas in need of improvement include (a) more thorough evaluation and reporting of interrater reliability and instrument validity and (b) greater adherence to methodological transparency and open science practices. We conclude by discussing the implications of these findings for researchers and researcher trainers; by raising awareness of methodological and ethical challenges in psychometric research on L2 speech perception; and by providing recommendations for advancing the quality of instruments in this domain.

The present study transforms subjective conflict perceptions into formally defined games, tests the reliability of the transformation, and explores the properties of several conflict scenarios. To this end we: (i) develop an illustration-based method that transforms implicit perceptions of expected outcomes and experiences into sets of structured numerical values, termed subjective game structures; (ii) develop a reliability index that compares the properties of two subjective games, allowing to test the consistency of repeatedly elicited games; (iii) empirically test game perceptions across eight conflict scenarios; and (iv) interpret the results in terms of two game taxonomies. The results reveal the capacity of the applied methods to transform vague social scenarios into reliable formal games, point to natural solutions, and show the distribution of games that characterizes each conflict scenario. The newly developed model and tools provide a potent instrument for studying a diverse array of social interactions, ranging from interpersonal relations to trade, political conflicts, and war. They represent invaluable resources for conducting polls, examining implicit attitudes, and assisting in the formulation of political, commercial, and social policies.

This paper defines and studies a broad class of shock models by assuming that a Markovian arrival process models the arrival pattern of shocks. Under the defined class, we show that the system’s lifetime follows the well-known phase-type distribution. Further, we examine the age replacement policy for systems with a continuous phase-type distribution, identifying sufficient conditions for determining the optimal replacement time. Since phase-type distributions are dense in the class of lifetime distributions, our findings for the age replacement policy are widely applicable. We include numerical examples and graphical illustrations to support our results.

In psychophysiology, an interesting question is how to estimate the reliability of event-related potentials collected by means of the Eriksen Flanker Task or similar tests. A special problem presents itself if the data represent neurological reactions that are associated with some responses (in case of the Flanker Task, responding incorrectly on a trial) but not others (like when providing a correct response), inherently resulting in unequal numbers of observations per subject. The general trend in reliability research here is to use generalizability theory and Bayesian estimation. We show that a new approach based on classical test theory and frequentist estimation can do the job as well and in a simpler way, and even provides additional insight to matters that were unsolved in the generalizability method approach. One of our contributions is the definition of a single, overall reliability coefficient for an entire group of subjects with unequal numbers of observations. Both methods have slightly different objectives. We argue in favor of the classical approach but without rejecting the generalizability approach.

A coefficient derived from communalities of test parts has been proposed as greatest lower bound to Guttman's “immediate retest reliability.” The communalities have at times been calculated from covariances between item sets, which tends to underestimate appreciably. When items are experimentally independent, a consistent estimate of the greatest defensible internal-consistency coefficient is obtained by factoring item covariances. In samples of modest size, this analysis capitalizes on chance; an estimate subject to less upward bias is suggested. For estimating alternate-forms reliability, communality-based coefficients are less appropriate than stratified alpha.

Corrections of correlations for range restriction (i.e., selection) and unreliability are common in psychometric work. The current rule of thumb for determining the order in which to apply these corrections looks to the nature of the reliability estimate (i.e., restricted or unrestricted). While intuitive, this rule of thumb is untenable when the correction includes the variable upon which selection is made, as is generally the case. Using classical test theory, we show that it is the nature of the range restriction, not the nature of the available reliability coefficient, that determines the sequence for applying corrections for range restriction and unreliability.

The asymptotic standard deviation (SD) of the alpha coefficient with standardized variables is derived under normality.The research shows that the SD of the standardized alpha coefficient becomes smaller as the number of examinees and/or items increase. Furthermore, this research shows that the degree of the dependence of the SD on the number of items is a function of the average correlation coefficients. When the average correlation approaches 1, the SD of the alpha coefficient decreases rapidly as the number of items increase, with the order of p. On the other hand, when the items are only weakly correlated, increasing the number of items decreases the SD of the alpha coefficient at a much slower rate.

An asymptotic expression for the reliability of a linearly equated test is developed using normal theory. The reliability is expressed as the product of two terms, the reliability of the test before equating, and an adjustment term. This adjustment term is a function of the sample sizes used to estimate the linear equating transformation. The results of a simulation study indicate close agreement between the theoretical and simulated reliability values for samples greater than 200. Findings demonstrate that samples as small as 300 can be used in linear equating without an appreciable decrease in reliability.

It is argued that the generalizability theory interpretation of coefficient alpha is important. In this interpretation, alpha is a slightly biased but consistent estimate for the coefficient of generalizability in a subjects x items design where both subjects and items are randomly sampled. This interpretation is based on the “domain sampling” true scores. It is argued that these true scores have a more solid empirical basis than the true scores of Lord and Novick (1968), which are based on “stochastic subjects” (Holland, 1990), while only a single observation is available for each within-subject distribution. Therefore, the generalizability interpretation of coefficient alpha is to be preferred, unless the true scores can be defined by a latent variable model that has undisputed empirical validity for the test and that is sufficiently restrictive to entail a consistent estimate of the reliability—as, for example, McDonald’s omega. If this model implies that the items are essentially tau-equivalent, both the generalizability and the reliability interpretation of alpha can be defensible.