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1

Speer, Andrew B., Subhadra Dutta, Menghan Chen, and Glenn Trussell. "Here to stay or go? Connecting turnover research to applied attrition modeling." Industrial and Organizational Psychology 12, no. 3 (2019): 277–301. http://dx.doi.org/10.1017/iop.2019.22.

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AbstractAttrition modeling is a direct application of extant turnover research that can favorably impact workforce planning and action planning. However, while academic research enables practitioners insights into understanding turnover phenomena, there is no single document that comprehensively translates this work to give guidance as to the many practical decisions that must be made when modeling turnover, as well as how to apply psychological research to messier operational data. This focal article introduces and provides guidance on attrition modeling by outlining early considerations when
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Baumeister, Roy F., E. J. Masicampo, and C. Nathan DeWall. "Arguing, reasoning, and the interpersonal (cultural) functions of human consciousness." Behavioral and Brain Sciences 34, no. 2 (2011): 74. http://dx.doi.org/10.1017/s0140525x10002785.

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AbstractOur recent work suggests that (1) the purpose of human conscious thought is participation in social and cultural groups, and (2) logical reasoning depends on conscious thought. These mesh well with the argument theory of reasoning. In broader context, the distinctively human traits are adaptations for culture and inner processes serve interpersonal functions.
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Sikandar, Mirza Zeeshan, Muhammad Abu Bakar, Haris Aleem, Aneeza Tufail, Aiman Fatima, and Muhammad Umar Farooq. "Comparative Assessment of Trends of Social Anxiety and Social Avoidance during First and Second Wave of Covid-19." Pakistan Journal of Medical and Health Sciences 16, no. 8 (2022): 116–18. http://dx.doi.org/10.53350/pjmhs22168116.

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Background: Corona virus disease 2019 (COVID-19) was first reported in China and became the global pandemic. This pandemic has proven fatal for the world and lasts drastic effects on the whole world. To combat with this hilarious pandemic, the whole world has adopted the strategy of social distancing and precautionary measures. Aim: To compare trends of social anxiety and avoidance during covid wave 1 and covid wave 2. Methodology: A cross-sectional study was conducted at Central Park Medical College from October 2020 and January 2021. To assess social avoidance and anxiety LIEBOWITZ Social An
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Thornton, Christine. "Towards a Group Analytic Praxis for Working with Teams in Organizations." Group Analysis 50, no. 4 (2017): 519–36. http://dx.doi.org/10.1177/0533316417728348.

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Several aspects of group analysis render it a useful discipline for consulting to organizations and working with teams in complex post-modern environments. These include attention to the individual in the group, sophisticated grasp of the nuances of interpersonal communication, attention to context, tolerance and the value of multiple perspectives, creative incorporation of difference and a flexible developmental approach to managing anxiety and leadership projections. The importance assigned to context, and the value placed on multiple perspectives as holding elements of reality, mesh with sy
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Giddings, Seth. "Accursed Play: The Economic Imaginary of Early Game Studies." Games and Culture 13, no. 7 (2018): 765–83. http://dx.doi.org/10.1177/1555412018755914.

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Revisiting early critical responses to computer and video games as a cultural form—before the establishment of games studies as an academic field in the early 2000s—reveals a consistent fascination with games as economic phenomena. Not just as a new commercial competitor in the established popular media marketplace but as models of economies in their own right, models that mesh with player’s everyday lives, constraining, facilitating, and forming gameplay. This article will identify and explore some of the most salient themes and phenomena in this early games scholarship and will follow them t
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Hooper, M. J., and T. Pye. "Company Culture: The Relationship of Organizational Values to Business Excellence." Journal of Human Values 8, no. 1 (2002): 27–43. http://dx.doi.org/10.1177/097168580200800104.

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This paper reports on the implementation of a methodology for detailing organizational values and measuring their influence on organizational performance. The work takes a grounded approach based on a large corpus of mission statements, which have been shown to be an authentic source of organizational values. A link is made between the mesh of values through an organization and the resulting world-class performance using a methodology that comprises benchmaking and values assessment. The framework developed in the paper is an attempt to map and develop the associations of individuals within th
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Zabala-Baños, María del Carmen, Jorge Luis Merchán-Pinto, and Álvaro Astasio-Picado. "Stress Management as a Clinical Approach to the Complementary Treatment of Fibromyalgia." Applied Sciences 11, no. 23 (2021): 11186. http://dx.doi.org/10.3390/app112311186.

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Fibromyalgia is a chronic syndrome that can have a devastating effect on the lives of those who suffer from it. These types of patients experience high levels of pain, as well as deficits in terms of positive affect and social relationships, which are not explicitly addressed in pharmacological treatments. Objectives: To know how pharmacological interventions combined with various stress management techniques reduce pain perception in adult patients clinically diagnosed with fibromyalgia. Data sources, study eligibility criteria: The search for the articles was carried out from January 2010 to
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Anokye, Reindolf, Ben Jackson, James Dimmock, et al. "Mental distress and quality of life following provision of vascular imaging results of the coronary and carotid arteries to asymptomatic adults: a scoping review protocol." F1000Research 9 (November 26, 2020): 1376. http://dx.doi.org/10.12688/f1000research.27432.1.

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Background: Non-invasive screening for atherosclerosis or asymptomatic cardiovascular disease of the coronary and carotid arteries is commonly undertaken, and research has been focussed on how results from these screenings lead to behaviour change. However, no review has focused on the effects of these results on mental distress and quality of life. This protocol will outline how a scoping review will be conducted to map all available evidence on mental distress or quality of life outcomes following the provision of vascular imaging results of the coronary and carotid arteries. Methods: Arksey
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Pérez-Ortiz, Alejandro, Mayaro Ortega-Luyando, Juan Manuel Mancilla-Diaz, Ana Luisa Mónica González-Celis Rangel, Adriana Amaya-Hernández, and Ana Leticia Becerra-Gálvez. "Terapia Cognitivo-Conductual sobre la adherencia terapéutica y conducta alimentaria en personas adultas mayores: una revisión sistemática/ Cognitive-Behavioral Therapy on therapeutic adherence and eating behavior in elderly: a systematic review." Revista Mexicana de Trastornos Alimentarios/Mexican Journal of Eating Disorders 11, no. 2 (2022): 193–205. http://dx.doi.org/10.22201/fesi.20071523e.2021.2.734.

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Hasta 2014 existían 422 millones de adultos con Diabetes Mellitus en el mundo, el mayor número de casos de defunción por hiperglucemia se concentra en adultos mayores (AM) entre 60 y 69 años con Diabetes Mellitus Tipo 2 (DMT2). Es por ello que el objetivo de la presente revisión fue identificar y analizar intervenciones cognitivo conductuales que modificaran parámetros psicológicos (conducta alimentaria y adherencia al medicamento), biológicos (Hemoglobina Glicosilada y colesterol) y nutriológicos (adherencia a la dieta y peso) en AM con DMT2. Se realizó una revisión sistemática mediante la es
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Reniers, P. W. A., I. Declercq, D. Gerritsen, K. Hediger, M.-J. Enders-Slegers, and R. Leontjevas. "216 - ECN Award: ‘The Meaning of Companion-Animal Support in Community-Dwelling Older Adults: An Integrative Review’." International Psychogeriatrics 33, S1 (2021): 17. http://dx.doi.org/10.1017/s1041610221001496.

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Background:Western countries face an aging population and increasing number of people with chronic illnesses. Many countries have shifted from a focus on institutional care to home-based care due to growing healthcare costs and pressure on long-term care. Despite, the increasing difficulty for contemporary family structures to support community-dwelling older adults (CDOA) who need care.However, about 50% of households own pets which may provide some social support for CDOA. A dearth of studies investigated the support pets provide to CDOA that receive long-term care but a better understanding
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Anokye, Reindolf, Ben Jackson, James Dimmock, et al. "Psychological distress and quality of life following provision of vascular imaging results of the coronary and carotid arteries to asymptomatic adults: a scoping review protocol." F1000Research 9 (May 28, 2021): 1376. http://dx.doi.org/10.12688/f1000research.27432.2.

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Background: Non-invasive screening for atherosclerosis or asymptomatic cardiovascular disease of the coronary and carotid arteries is commonly undertaken, and research has been focussed on how results from these screenings lead to behaviour change. However, no review has focused on the effects of these results on psychological distress and health-related quality of life (HRQoL). This protocol will outline how a scoping review will be conducted to map all available evidence on psychological distress and/or HRQoL outcomes following the provision of vascular imaging results of the coronary and ca
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Anokye, Reindolf, Ben Jackson, James Dimmock, et al. "Psychological distress and quality of life following provision of vascular imaging results of the coronary and carotid arteries to asymptomatic adults: a scoping review protocol." F1000Research 9 (November 9, 2021): 1376. http://dx.doi.org/10.12688/f1000research.27432.3.

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Background: Non-invasive screening for atherosclerosis or asymptomatic cardiovascular disease of the coronary and carotid arteries is commonly undertaken, and research has been focussed on how results from these screenings lead to behaviour change. However, no review has focused on the effects of these results on psychological distress and health-related quality of life (HRQoL). This protocol will outline how a scoping review will be conducted to map all available evidence on psychological distress and/or HRQoL outcomes following the provision of vascular imaging results of the coronary and ca
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Fernandez, Nicolas, Laura Zuluaga, Gabriela Paris, María Juana Norato, José Miguel Silva, and Jaime Pérez. "Gender Dysphoria Publication Trends: A Bibliometric Analysis between 1900 and 2018." Revista Urología Colombiana / Colombian Urology Journal 31, no. 02 (2022): e49-e55. http://dx.doi.org/10.1055/s-0041-1730319.

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Abstract Objective Research on gender dysphoria (GD) has been growing over the last decades with increasing interest in understanding and characterizing the causal relationships between psychological, genetics, hormonal, and sociocultural factors. Changes and acceptance of this condition as non-pathologic have led to significant changes in general perspective and its management over time. Our objective is to carry out a bibliometric analysis to know the publication trends and quality of evidence related to gender dysphoria. Methods A systematic search and critical review of the literature was
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Singh, Birti, and Seema Deshmukh. "Cognitive Contemporary Behaviour Management Outline." Journal of Evolution of Medical and Dental Sciences 10, no. 40 (2021): 3548–53. http://dx.doi.org/10.14260/jemds/2021/719.

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BACKGROUND Paediatric dentists are expected to recognize and effectively treat childhood dental diseases which can be cumbersome owing to the child’s inert anxiety and fear. Behaviour management techniques facilitate communication and establish social and behavioural guidelines for the dental environment. On what basis do paediatric dentists decide the appropriate management techniques for a child? This requires an understanding of children’s expected behaviour at different stages of intellectual development. Jean Piaget theorized cognitive development through four stages. According to him, ch
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Hoffmann, Tabea, Abe Hofman, and Eric-Jan Wagenmakers. "Bayesian tests of two proportions: A tutorial with R and JASP." Methodology 18, no. 4 (2022): 239–77. http://dx.doi.org/10.5964/meth.9263.

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The need for a comparison between two proportions (sometimes called an A/B test) often arises in business, psychology, and the analysis of clinical trial data. Here we discuss two Bayesian A/B tests that allow users to monitor the uncertainty about a difference in two proportions as data accumulate over time. We emphasize the advantage of assigning a dependent prior distribution to the proportions (i.e., assigning a prior to the log odds ratio). This dependent-prior approach has been implemented in the open-source statistical software programs R and JASP. Several examples demonstrate how JASP
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Mishra, Shubha. "Design Partition in a Spiking Neural Arrange of Hippocampus Vigorous to Imbalanced Excitation/Inhibition in Mesh Network." International Journal of Wireless and Ad Hoc Communication, no. 1 (2019): 24–30. http://dx.doi.org/10.54216/ijwac.000102.

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Proficient design division in dentate gyrus plays an imperative part in putting away data within the hippocampus. Current information of the structure and work of the hippocampus, entorhinal cortex, and dentate gyrus, in design partition are joined in this work. A three-layer feed-forward spiking neural network inspired by the rodent hippocampus an equipped with simplified synaptic and molecular mechanisms is developed. The aim of the study is to make a spiking neural network capable of pattern separation in imbalanced excitationinhibition ratios caused by different levels of stimulations or n
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Habib, Nabeela, Asma Rafi Chaudhry, Nida Asad Dar, Hafsa Gul, Khurram Shehzad, and Muhammad Usman Ghani. "Anatomical consideration of Temporomandibular Joint, Condylar position among subjects with skeletal malocclusion." Pakistan Journal of Medical and Health Sciences 16, no. 8 (2022): 86–87. http://dx.doi.org/10.53350/pjmhs2216886.

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Aim: To investigate the association between anatomical considerations of TMJ with regard to condylar positioning in Glenoid Fossa and prevalence of malocclusion in patients with TMDs Methods: A thorough investigation was done by collecting data on CT scans of 37 patients with TMDs and their Condylar positioning was recorded. Data on malocclusion was obtained by cephalometric radiographs and the relationship was observed. Results: Our study showed a significant (p<0.05) presence of bilateralism in anterior positioning as well as in posterior positioning. Class II showed significant bilateral
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Brown, Victoria. "Methylation of the glucocorticoid receptor gene NR3C1: a summary for clinicians working with children and families." BJPsych Open 7, S1 (2021): S241. http://dx.doi.org/10.1192/bjo.2021.643.

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AimsIt has been shown that the glucocorticoid receptor NR3C1 gene can be methylated (“switched off”) in response to early adversity. Methylation has also been linked to physiological changes in the body's response to stress by changing the sensitivity of the hypothalamic-pituitary-adrenal (HPA) axis. In adults, associations have been made between NR3C1 methylation and borderline personality disorder, depression and post-traumatic stress disorder. Environmental and social co-variates increase with lifespan so establishing cause and effect is difficult. Studies in children, then, may illuminate
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Kardan-Souraki, Maryam, Zeinab Hamzehgardeshi, Ismail Asadpour, Reza Ali Mohammadpour, and Soghra Khani. "A Review of Marital Intimacy-Enhancing Interventions among Married Individuals." Global Journal of Health Science 8, no. 8 (2015): 74. http://dx.doi.org/10.5539/gjhs.v8n8p74.

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<p><strong>BACKGROUND:</strong> Lack of intimacy is currently the main concern rather than main concern of the experts in psychology and counseling. It is considered as one of the most important causes for divorce and as such to improve marital intimacy a great number of interventions have been proposed in the literature. Intimacy training and counseling make the couples take effective and successful steps to increase marital intimacy. No study has reviewed the interventions promoting marital intimacy after marriage. Thus, this review study aimed to classify the articles inve
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Hu, Anning. "Modeling the Influences of Social Mobility Net of Origin and Destination Based on the Front-Door Criterion: A Simulation Study." Methodology 17, no. 2 (2021): 111–26. http://dx.doi.org/10.5964/meth.4481.

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The consequences of social mobility have been a persistent theme on the research agenda of social scientists, but the estimation of the net mobility effect controlling for both social origin and destination confronts with the identification problem. This research 1) highlights the mechanical identification approaches deployed by the conventional methods—the square additive model, the diamond model, and the diagonal reference model; 2) draws on the directional acyclic graphs to present an identification framework that is based on the intermediate variables; and 3) elaborates the specific identi
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van Ginkel, Joost R., and Pieter M. Kroonenberg. "Multiple imputation to balance unbalanced designs for two-way analysis of variance." Methodology 17, no. 1 (2021): 39–57. http://dx.doi.org/10.5964/meth.6085.

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A balanced ANOVA design provides an unambiguous interpretation of the F-tests, and has more power than an unbalanced design. In earlier literature, multiple imputation was proposed to create balance in unbalanced designs, as an alternative to Type-III sum of squares. In the current simulation study we studied four pooled statistics for multiple imputation, namely D₀, D₁, D₂, and D₃ in unbalanced data, and compared them with Type-III sum of squares. Statistics D₁ and D₂ generally performed best regarding Type-I error rates, and had power rates closest to that of Type-III sum of squares. Additio
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Li, Johnson Ching-Hong, and Virginia Man Chung Tze. "Analytic and bootstrap confidence intervals for the common-language effect size estimate." Methodology 17, no. 1 (2021): 1–21. http://dx.doi.org/10.5964/meth.4495.

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Evaluating how an effect-size estimate performs between two continuous variables based on the common-language effect size (CLES) has received increasing attention. While Blomqvist (1950; https://doi.org/10.1214/aoms/1177729754) developed a parametric estimator (q') for the CLES, there has been limited progress in further refining CLES. This study: a) extends Blomqvist’s work by providing a mathematical foundation for Bp (a non-parametric version of CLES) and an analytic approach for estimating its standard error; and b) evaluates the performance of the analytic and bootstrap confidence interva
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Nestler, Steffen, and Sarah Humberg. "Gimme’s ability to recover group-level path coefficients and individual-level path coefficients." Methodology 17, no. 1 (2021): 58–91. http://dx.doi.org/10.5964/meth.2863.

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The growing availability of intensive longitudinal data has increased psychological researchers' interest in ideographic-statistical methods that, for example, reveal the contemporaneous or lagged associations between different variables for a specific individual. However, when researchers assess several individuals, the results of such models are difficult to generalize across individuals. Researchers recently suggested an algorithm called GIMME, which allows for the identification of coefficients that exist across all individuals (group-level coefficients) or are specific to one or a subgrou
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Immekus, Jason C. "Multigroup CFA and alignment approaches for testing measurement invariance and factor score estimation: Illustration with the schoolwork-related anxiety survey across countries and gender." Methodology 17, no. 1 (2021): 22–38. http://dx.doi.org/10.5964/meth.2281.

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Within large-scale international studies, the utility of survey scores to yield meaningful comparative data hinges on the degree to which their item parameters demonstrate measurement invariance (MI) across compared groups (e.g., culture). To-date, methodological challenges have restricted the ability to test the measurement invariance of item parameters of these instruments in the presence of many groups (e.g., countries). This study compares multigroup confirmatory factor analysis (MGCFA) and alignment method to investigate the MI of the schoolwork-related anxiety survey across gender groups
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Verboon, Peter, and Ron Pat-El. "Clustering longitudinal data using R: A Monte Carlo Study." Methodology 18, no. 2 (2022): 144–63. http://dx.doi.org/10.5964/meth.7143.

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The analysis of change within subjects over time is an ever more important research topic. Besides modelling the individual trajectories, a related aim is to identify clusters of subjects within these trajectories. Various methods for analyzing these longitudinal trajectories have been proposed. In this paper we investigate the performance of three different methods under various conditions in a Monte Carlo study. The first method is based on the non-parametric k-means algorithm. The second is a latent class mixture model, and the third a method based on the analysis of change indices. All met
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Rivera, Emilio D., Benjamin M. Wilkowski, Aaron J. Moss, Cheskie Rosenzweig, and Leib Litman. "Assessing the efficacy of a participant-vetting procedure to improve data-quality on Amazon’s Mechanical Turk." Methodology 18, no. 2 (2022): 126–43. http://dx.doi.org/10.5964/meth.8331.

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In recent years, Amazon’s Mechanical Turk (MTurk) has become a pivotal source for participant recruitment in many social-science fields. In the last several years, however, concerns about data quality have arisen. In response, CloudResearch developed an intensive pre-screening procedure to vet the full participant pool available on MTurk and exclude those providing low-quality data. To assess its efficacy, we compared three MTurk samples that completed identical measures: Sample 1 was collected prior to the pre-screening’s implementation. Sample 2 was collected shortly following its implementa
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Padilla, Jose-Luis, Luis M. Lozano, and Isabel Benítez. "Ronald K. Hambleton: A legacy beyond quantitative scientific indicators." Methodology 18, no. 2 (2022): 75–79. http://dx.doi.org/10.5964/meth.9701.

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Professor Ronald K. Hambleton (1943-2022) shaped the development of psychometrics in the United States and had a far-reaching impact on professionals interested in psychological and educational measurement worldwide. All three authors were at different times visiting researchers in the Research, Educational Measurement & Psychometrics (REMP) Program at the School of Education at the University of Massachusetts at Amherst (USA). We would like to develop these brief notes according to three main arguments of how Ron impacted our lives: Hambleton as a "professional model," Hambleton as an "ed
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Li, Johnson Ching-Hong. "Bootstrap confidence intervals for 11 robust correlations in the presence of outliers and leverage observations." Methodology 18, no. 2 (2022): 99–125. http://dx.doi.org/10.5964/meth.8467.

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Researchers often examine whether two continuous variables (X and Y) are linearly related. Pearson’s correlation (r) is a widely-employed statistic for assessing bivariate linearity. However, the accuracy of r is known to decrease when data contain outliers and/or leverage observations, a circumstance common in behavioral and social sciences research. This study compares 11 robust correlations with r and evaluates the associated bootstrap confidence intervals [bootstrap standard interval (BSI), bootstrap percentile interval (BPI), and bootstrap bias-corrected-and-accelerated interval (BCaI)] a
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Luh, Wei-Ming. "Probabilistic thinking is the name of the game: Integrating test and confidence intervals to plan sample sizes." Methodology 18, no. 2 (2022): 80–98. http://dx.doi.org/10.5964/meth.6863.

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Having high statistical power and good estimated precision are essential to statistical practice; however, this integrative consideration on sample size planning remains limited in the literature, especially for two-group mean comparisons with unequal/unknown variances and unequal sampling costs. Furthermore, due to the neglect or misuse of employing confidence intervals, the present study aims to illuminate the probabilistic thinking by finding optimal allocations of sample sizes such that researchers can claim that the null hypothesis is rejected, the desired confidence-interval width of mea
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Epifania, Ottavia M., Pasquale Anselmi, and Egidio Robusto. "Filling the gap between implicit associations and behavior: A linear mixed-effects Rasch analysis of the Implicit Association Test." Methodology 18, no. 3 (2022): 185–202. http://dx.doi.org/10.5964/meth.7155.

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The measure obtained from the Implicit Association Test (IAT; Greenwald et al., 1998. DOI: 10.1037/0022-3514.74.6.1464) is often used to predict people’s behaviors. However, it has shown poor predictive ability potentially because of its typical scoring method (the D score), which is affected by the across-trial variability in the IAT data and might provide biased estimates of the construct. Linear Mixed-Effects Models (LMMs) can address this issue while providing a Rasch-like parametrization of accuracy and time responses. In this study, the predictive abilities of D scores and LMM estimates
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van Kollenburg, Geert H., and Marcel A. Croon. "How to define and test an indirect moderation model: The missing link in regression-based path models." Methodology 18, no. 3 (2022): 164–84. http://dx.doi.org/10.5964/meth.9473.

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Two of the most important extensions of the basic regression model are moderated effects (due to interactions) and mediated effects (i.e. indirect effects). Combinations of these effects may also be present. In this work, an important, yet missing combination is presented that can determine whether a moderating effect itself is mediated by another variable. This ‘indirect moderation’ model can be assessed by a four-step decision tree which guides the user through the necessary regression analyses to infer or refute indirect moderation. A simulation experiment shows how the method works under s
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Tanious, René, and Rumen Manolov. "Violin plots as visual tools in the meta-analysis of Single-Case Experimental Designs." Methodology 18, no. 3 (2022): 221–38. http://dx.doi.org/10.5964/meth.9209.

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Despite the existence of sophisticated statistical methods, systematic reviews regularly indicate that single-case experimental designs (SCEDs) are predominantly analyzed through visual tools. For the quantitative aggregation of results, different meta-analytical techniques are available, but specific visual tools for the meta-analysis of SCEDs are lacking. The present article therefore describes the use of violin plots as visual tools to represent the raw data. We first describe the underlying rationale of violin plots and their main characteristics. We then show how the violin plots can comp
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Kerkhoff, Denise, and Fridtjof W. Nussbeck. "Obtaining sound intraclass correlation and variance estimates in three-level models: The role of sampling-strategies." Methodology 18, no. 1 (2022): 5–23. http://dx.doi.org/10.5964/meth.7265.

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Three-level clustered data commonly occur in social and behavioral research and are prominently analyzed using multilevel modeling. The influence of the clustering on estimation results is assessed with the intraclass correlation coefficients (ICCs), which indicate the fraction of variance in the outcome located at each higher level. However, ICCs are prone to bias due to high requirements regarding the overall sample size and the sample size at each data level. In Monte Carlo simulations, we investigate how these sample characteristics influence the bias of the ICCs and statistical power of t
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Liu, Xiaofeng Steven. "Bias correction for eta squared in one-way ANOVA." Methodology 18, no. 1 (2022): 44–57. http://dx.doi.org/10.5964/meth.7745.

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Eta squared is a popular effect size, but contains positive bias. Bootstrapping can be used to remove the bias from eta squared. Compared to epsilon squared and omega squared, bootstrap bias correction does not make distributional assumption, and it is easy to implement. A real example and computer simulations are included to illustrate its application. The bootstrap bias-corrected eta squared shows very little bias, and it serves as a good alternative to eta squared and epsilon squared, the latter of which can turn negative in some circumstances.
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Cao, Lixia, Tingting Tong, David Trafimow, Tonghui Wang, and Xiangfei Chen. "The A Priori Procedure for estimating the mean in both log-normal and gamma populations and robustness for assumption violations." Methodology 18, no. 1 (2022): 24–43. http://dx.doi.org/10.5964/meth.7321.

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Although the literature on the a priori procedure, designed to help researchers determine the sample sizes they should use in their substantive research, is expanding rapidly, there are two important limitations. First, there is a need to expand to new popular distributions, log-normal and gamma distributions, and the present work provides those expansions. Second, there is a need to test the consequences of wrong distributional assumptions; for example, assuming a log-normal distribution when the population follows a gamma distribution, or the reverse. The present work addresses the limitatio
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Wilcox, Rand. "One-way and two-way anova: Inferences about a robust, heteroscedastic measure of effect size." Methodology 18, no. 1 (2022): 58–73. http://dx.doi.org/10.5964/meth.7769.

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Consider a one-way or two-way ANOVA design. Typically, groups are compared based on some measure of location. The paper suggests alternative methods where measures of location are replaced by a robust measure of effect size that is based in part on a robust measure of dispersion. The measure of effect size used here does not assume that the groups have a common measure of dispersion. That is, it deals with heteroscedasticity. It is fairly evident that no single method reveals everything of interest regarding how groups differ. Certainly, comparing measures of location provides useful informati
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Cuesta, Marcelino, and Katrijn Van Deun. "Welcome message from the new editors-in-chief." Methodology 18, no. 1 (2022): 1–4. http://dx.doi.org/10.5964/meth.8575.

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38

Mason, Fabio, Eva Cantoni, and Paolo Ghisletta. "Parametric and semi-parametric bootstrap-based confidence intervals for robust linear mixed models." Methodology 17, no. 4 (2021): 271–95. http://dx.doi.org/10.5964/meth.6607.

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The linear mixed model (LMM) is a popular statistical model for the analysis of longitudinal data. However, the robust estimation of and inferential conclusions for the LMM in the presence of outliers (i.e., observations with very low probability of occurrence under Normality) is not part of mainstream longitudinal data analysis. In this work, we compared the coverage rates of confidence intervals (CIs) based on two bootstrap methods, applied to three robust estimation methods. We carried out a simulation experiment to compare CIs under three different conditions: data 1) without contamination
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Boedeker, Peter. "Nonlinear mixed-effects growth models: A tutorial using 'saemix' in R." Methodology 17, no. 4 (2021): 250–70. http://dx.doi.org/10.5964/meth.7061.

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Modeling growth across repeated measures of individuals and evaluating predictors of growth can reveal developmental patterns and factors that affect those patterns. When growth follows a sigmoidal shape, the Logistic, Gompertz, and Richards nonlinear growth curves are plausible. These functions have parameters that specifically control the starting point, total growth, overall rate of change, and point of greatest growth. Variability in growth parameters across individuals can be explained by covariates in a mixed model framework. The purpose of this tutorial is to provide analysts a brief in
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Keck, Caroline, Axel Mayer, and Yves Rosseel. "Integrating informative hypotheses into the EffectLiteR framework." Methodology 17, no. 4 (2021): 307–25. http://dx.doi.org/10.5964/meth.7379.

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Using the EffectLiteR framework, researchers can test classical null hypotheses about effects of interest via Wald and F-tests, while taking into account the stochastic nature of group sizes. This paper aims at extending EffectLiteR to test informative hypotheses, assuming for example that the average effect of a new treatment is greater than the average effect of an old treatment, which in turn is greater than zero. We present a simulated data example to show two methodological novelties. First, we illustrate how to use the Fbar- and generalized linear Wald test to assess informative hypothes
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Lorenzo-Seva, Urbano, and Pere J. Ferrando. "MSA: The forgotten index for identifying inappropriate items before computing exploratory item factor analysis." Methodology 17, no. 4 (2021): 296–306. http://dx.doi.org/10.5964/meth.7185.

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Kaiser’s single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before a factor analysis (FA) solution is fitted to an item-pool dataset for item selection purposes. For reasons discussed in the article, however, MSA is hardly used nowadays in this context. In our view, this is unfortunate. In the present proposal, we first discuss the foundation and rationale of MSA from a ‘modern’ FA view, as well as its usefulness in the item selection process. Second, we embed the index within a robust approach and propose improvements in the preliminary
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Schmidt, Mikkel N., Daniel Seddig, Eldad Davidov, et al. "Latent profile analysis of human values: What is the optimal number of clusters?" Methodology 17, no. 2 (2021): 127–48. http://dx.doi.org/10.5964/meth.5479.

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Latent Profile Analysis (LPA) is a method to extract homogeneous clusters characterized by a common response profile. Previous works employing LPA to human value segmentation tend to select a small number of moderately homogeneous clusters based on model selection criteria such as Akaike information criterion, Bayesian information criterion and Entropy. The question is whether a small number of clusters is all that can be gleaned from the data. While some studies have carefully compared different statistical model selection criteria, there is currently no established criteria to assess if an i
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Stemmler, Mark, Jörg-Henrik Heine, and Susanne Wallner. "Person-centered data analysis with covariates and the R-package confreq." Methodology 17, no. 2 (2021): 149–67. http://dx.doi.org/10.5964/meth.2865.

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Configural Frequency Analysis (CFA) is a useful statistical method for the analysis of multiway contingency tables and an appropriate tool for person-oriented or person-centered methods. In complex contingency tables, patterns or configurations are analyzed by comparing observed cell frequencies with expected frequencies. Significant differences between observed and expected frequencies lead to the emergence of Types and Antitypes. Types are patterns or configurations which are significantly more often observed than the expected frequencies; Antitypes represent configurations which are observe
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Dong, Nianbo, Jessaca Spybrook, Benjamin Kelcey, and Metin Bulus. "Power analyses for moderator effects with (non)randomly varying slopes in cluster randomized trials." Methodology 17, no. 2 (2021): 92–110. http://dx.doi.org/10.5964/meth.4003.

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Researchers often apply moderation analyses to examine whether the effects of an intervention differ conditional on individual or cluster moderator variables such as gender, pretest, or school size. This study develops formulas for power analyses to detect moderator effects in two-level cluster randomized trials (CRTs) using hierarchical linear models. We derive the formulas for estimating statistical power, minimum detectable effect size difference and 95% confidence intervals for cluster- and individual-level moderators. Our framework accommodates binary or continuous moderators, designs wit
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Fitzgerald, Cailey E., Ryne Estabrook, Daniel P. Martin, Andreas M. Brandmaier, and Timo von Oertzen. "Correcting the bias of the Root Mean Squared Error of Approximation under missing data." Methodology 17, no. 3 (2021): 189–204. http://dx.doi.org/10.5964/meth.2333.

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Missing data are ubiquitous in psychological research. They may come about as an unwanted result of coding or computer error, participants' non-response or absence, or missing values may be intentional, as in planned missing designs. We discuss the effects of missing data on χ²-based goodness-of-fit indices in Structural Equation Modeling (SEM), specifically on the Root Mean Squared Error of Approximation (RMSEA). We use simulations to show that naive implementations of the RMSEA have a downward bias in the presence of missing data and, thus, overestimate model goodness-of-fit. Unfortunately,
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Kleinke, Kristian, Markus Fritsch, Mark Stemmler, Jost Reinecke, and Friedrich Lösel. "Quantile regression-based multiple imputation of missing values — An evaluation and application to corporal punishment data." Methodology 17, no. 3 (2021): 205–30. http://dx.doi.org/10.5964/meth.2317.

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Quantile regression (QR) is a valuable tool for data analysis and multiple imputation (MI) of missing values – especially when standard parametric modelling assumptions are violated. Yet, Monte Carlo simulations that systematically evaluate QR-based MI in a variety of different practically relevant settings are still scarce. In this paper, we evaluate the method regarding the imputation of ordinal data and compare the results with other standard and robust imputation methods. We then apply QR-based MI to an empirical dataset, where we seek to identify risk factors for corporal punishment of ch
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Schweizer, Karl, Dorothea Krampen, and Brian F. French. "Does rapid guessing prevent the detection of the effect of a time limit in testing?" Methodology 17, no. 3 (2021): 168–88. http://dx.doi.org/10.5964/meth.4663.

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Rapid guessing is a test taking strategy recommended for increasing the probability of achieving a high score if a time limit prevents an examinee from responding to all items of a scale. The strategy requires responding quickly and without cognitively processing item details. Although there may be no omitted responses after participants' rapid guessing, an open question remains: do the data show unidimensionality, as is expected for data collected by a scale, or bi-dimensionality characterizing data collected with a time limit in testing, speeded data. To answer this question, we simulated sp
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Lindemann, Anaïd, and Jörg Stolz. "Teaching mixed methods: Using the Titanic datasets to teach mixed methods data analysis." Methodology 17, no. 3 (2021): 231–49. http://dx.doi.org/10.5964/meth.4241.

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The Titanic quantitative dataset has long been used to teach statistics. However, combining the quantitative dataset with a qualitative dataset of survivor testimonies shows that the Titanic case is an even better example to teach mixed methods. This article offers practical tools to teach mixed methods to undergraduate or postgraduate students in the social sciences, using the Titanic datasets. Based on an empirical analysis of the survival probabilities on the Titanic, we show how mixed methods lead to superior explanations than mono-method strategies. This paper has two goals: 1) to introdu
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Tong, Tingting, David Trafimow, Tonghui Wang, Cong Wang, Liqun Hu, and Xiangfei Chen. "The A Priori Procedure (APP) for estimating regression coefficients in linear models." Methodology 18, no. 3 (2022): 203–20. http://dx.doi.org/10.5964/meth.8245.

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Regression coefficients are crucial in the sciences, as researchers use them to determine which independent variables best explain the dependent variable. However, researchers obtain regression coefficients from data samples and wish to generalize to populations; without reason to believe that sample regression coefficients are good estimates of corresponding population regression coefficients, their usefulness would be curtailed. In turn, larger sample sizes provide better estimates than do smaller ones. There is much recent literature on the a priori procedure (APP) that was designed for the
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Rdz-Navarro, Karina, and Rodrigo A. Asún. "The use of items and item parcels in nonlinear structural equation models." Methodology 16, no. 1 (2020): 1–20. http://dx.doi.org/10.5964/meth.2305.

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Nonlinear structural equation models within the frequentist framework were developed to work with continuous items. Applied researchers who usually work with Likert-type items choose between two strategies to estimate such models: treat items as continuous variables or create item parcels. Two Monte Carlo studies were conducted to evaluate the effects of each strategy on estimates and Type I errors for models with interaction and quadratic effects estimated using LMS. The first study evaluated the effect of asymmetry type and item quantity. The second assessed the use of item parcels and parce
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