Exploratory factor analysis is a statistical method widely used in quantitative psychology for the construction of scales and measurement instruments. It aims to reduce the complexity of a data set and explain the common and unique variance using latent variables. In introductory textbooks, exploratory factor analysis is generally presented in contrast to confirmatory factor analysis as a theory- or a hypothesis-generating process that does not require prior background, theory or hypothesis to be performed. The (...) aim of the present paper is to analyze this claim and clarify in which sense exploratory factor analysis is theory-laden. We provide a careful examination of the concepts it involves and thereby establish a clear limitation of the epistemic scope of exploratory factor analysis. (shrink)

Many published instruments for assessing adolescent adjustment can be implemented in the school context. However, most of them fail to include a comprehensive and positive theoretical perspective of adolescent development and, even when they do, priority is often given to the clinical perspective, or problems with ecological validity and cost-effectiveness emerge. The Magallanes Adaptation Scale is a 90-item Likert-instrument designed for Spanish-speaking adolescents in order to screen several adjustment areas from a holistic and positive perspective of development. Although some evidence (...) of its psychometric robustness has been tested, no confirmatory analysis of its structure has been published. This paper analyzes the items and the factor structure (exploratory factor analysis and confirmatory factor analysis, using the split-half method) of the scales. Participants were 948 Spanish adolescents (49.84% girls) aged between 11 and 17 and stratified sampled. Thirty-six items were removed from the item analysis. The results of the exploratory factor analysis revealed five factors, excluding mother’s adaptation. Several models were tested during the confirmatory factor analyses, with a 24-item second-order four-factor solution being found to have the best adjustment indicators. The short version proposed in this paper can constitute a helpful tool with screening purposes to help school teachers to assess students’ overall development beyond mere academic performance, although further validity research is needed. (shrink)

Objective: To determine the usefulness of Q methodology to locate and describe shared subjective influences on clinical decision making among participant physicians using hypothetical cases containing common ethical issues. Design: Qualitative study using by-person factor analysis of subjective Q sort data matrix. Setting: University medical center. Participants: Convenience sample of internal medicine attending physicians and house staff (n = 35) at one midwestern academic health sciences center. Interventions: Presented with four hypothetical cases involving urgent decision making near the (...) end of life, participants selected one of three specific clinical actions offered for each case. Immediately afterward and while considering their decision, each respondent sorted twenty-five subjective self-referent items in terms of the influence of each statement on their decision-making process. By-person factor analysis, where participants are defined as variates, yielded information about the attitudinal background the physicians brought to their consideration of each hypothetical case. We performed a second-order factor analysis on all of the subjective viewpoints to determine if a smaller core of shared attitudes existed across some or all of the four case vignettes. Factor scores for each item and post-sort comments from interviews conducted individually with each respondent guided the interpretation of ethical perspective used by these respondents in making clinical decisions about the cases. Measurements and Main Results: Second-order factor analysis on seventeen viewpoints used by physicians in the four hypothetical urgent decision cases revealed three moderately correlated (r 2 < 40%) subjective core attitudinal guides used broadly among all the cases and among sixteen of the seventeen original factors. Across all the cases, our participants were guided in general by: (1) patient-focused beneficence, (2) a patient- and surrogate-focused perspective that includes risk avoidance, and (3) best interest of the patient guided by ethical values. Economic impact on the physician, expediency in resolution of the situation, and the expense of medical treatment were not found to be influential determinants in this study. Conclusions: Q sorting and by-person factor analysis are useful qualitative methodological tools to study the complex structure of subjective attitudes that influence physicians in making medical decisions. This study revealed the subjective viewpoints used by our physician participants as they made ethically challenging treatment decisions. The three second-order factors identified here are grounded in current bioethical values as well as the personal traits of physicians. The participants' decision methods appear to resemble casuistry more than principle-based decision making. Generalizability of results will require further studies. (shrink)

Introduction. The fourth industrial revolution significantly changes the structure of economic relations and transforms the importance of factors in the development of territories. The purpose of the article is to identify the most significant factors in the regional development of the Ural macro region in the context of the fourth industrial revolution and to determine the directions of impacts to ensure the competitiveness and long-term growth of territories. Methods. The methodological basis of the study is based on a set of (...) scientific approaches to economic growth, concepts of regional and institutional economics. Research methods include regional, comparative and econometric factor analysis. Scientific novelty of the study. A method for identifying the significance of factors in the development of regions is proposed and the key factors for developing the subjects of the Ural macro region in the context of the fourth industrial revolution are established. The study contributes to the scientific debate on the meaning and management of institutional development factors. Results. The author presents the results of diagnosing the regulatory environment and geographic factors of the subjects of the Ural macro region. An econometric analysis of their impact on economic development has been carried out. The statistical significance for developing the volume of mining and the quality of the legal environment in the regions has been established. Informal institutions (the authors explain the phenomenon by weak differentiation of cultural characteristics and business practices of regions due to their historical connectivity) and transport and geographical location (due to a decrease in spatial influence and an increase in the role of digital technologies in production chains in Industry 4.0). Conclusions. In the Sverdlovsk and Chelyabinsk regions, it was possible to ensure higher values of GRP per capita due to a favorable regulatory environment. In general, in the Russian regions in the second decade of the 21st century, the raw material orientation remains (among the studied objects, the economies of the Orenburg region and Udmurtia are the most extractive). To ensure the country’s long-term development, it is necessary to create a favorable business climate: improving the legal environment in the areas outlined in the study, increasing the level of trust and reducing the level of corruption. (shrink)

The ultimate focus of the current essay is on methods of “creative abduction” that have some guarantees as reliable guides to the truth, and those that do not. Emphasizing work by Richard Englehart using data from the World Values Survey, Gerhard Schurz has analyzed literature surrounding Samuel Huntington’s well-known claims that civilization is divided into eight contending traditions, some of which resist “modernization” – democracy, civil rights, equality of rights of women and minorities, secularism. Schurz suggests an evolutionary model of (...) modernization and identifies opposing social forces. In a later essay, citing Englehart’s work as an example, Schurz identifies factor analysis as an example of “creative abduction”. The theories of Englehart and his collaborators are reviewed again in the current essay. Published simulations and standard statistical desiderata for causal inference show the methods Englehart used, factor analysis in particular, are not guides to truth for the kind of data Schurz recognizes as common in political science. Recent work in statistics, philosophy and computer science that makes advances towards such methods is briefly reviewed. (shrink)

Using a sample of 296 university students, this study examined the reliability and factorial validity of the Death Transcendence Scale using Confirmatory Factor Analysis. Reliability analyses found that with the exclusion of one item from the Nature subscale, all five DTS subscales showed satisfactory reliability. A CFA completed to test the goodness of fit of a correlated five-factor model produced mostly positive support for the test, though there were some indications of poor fit. Initial revisions to the (...) model did not result in substantive improvement of overall fit in a second CFA. In response to the perception of item content manifesting some degree of overlap and redundancy, the authors elected to shorten all subscales by only retaining items with high corrected item-to-subscale total correlations. A CFA of the 15-item test produced notably stronger fit statistics for the overall model but found evidence that the subscales are not ubiquitously intercorrelated. The article concludes with a brief discussion of the meaning and implications of the study and directions for future research. (shrink)

Locally-developed measures represent great tools for institutions to use in assessing student outcomes. Such measures can be easy to administer, can be cost-effective, and can provide meaningful data for improving student learning. However, many institutions struggle with questions surrounding the quality of their locally-developed assessments. Are their instruments reliable? Are their instruments valid? Can the data generated from these instruments be trusted to drive change and improvement? The good news for faculty, staff, and assessment professionals is that there are steps (...) they can take to address these concerns and help to ensure the validity and reliability of their processes. This article describes the development and testing of a novel research instrument of students’ attitudes and abilities relating to critical thinking, metacognition, and intellectual humility. Using a $1,000 assessment grant from Sam Houston State University (SHSU), Dr. Glenn Sanford and Dr. David Wright devised the early drafts of the instruments, collaborated with colleagues, and joined with Mr. Jeff Roberts, Director of Assessment at SHSU, to develop and to test this new instrument. What follows is a description of the development of the resulting research instrument, results from the factor analysis and reliability testing of that instrument, and an overview of how those results have been used to make further instrument improvements. (shrink)

The quality of early childhood education and care (ECEC) is important for children’s development. One instrument that was developed to assess an aspect of ECEC quality is the Classroom Assessment Scoring System for pre-kindergarten children (CLASS Pre-K). We examined the factorial validity of the instrument using data from 177 German preschool classrooms. The three-factor teaching through interaction model (Hamre et al., 2013) was contrasted to a one-factor, a two-factor, and a bifactor model as proposed by Hamre et (...) al. (2014). Our results indicated that the three-factor structure with the domains of emotional support, classroom organization, and instructional support fit the data best. The fit of the teaching through interaction model was satisfying after adding a cross-loading of the dimension language modeling on emotional support, and two correlated residuals. Evidence of convergent and discriminant validity are provided. In terms of factor structure and pattern score comparisons, the results were similar to previous U.S. and German studies. The discussion concerns the justifiability of the factor model revisions and draws directions for further research. We concluded that our study offers further evidence of the applicability of the CLASS Pre-K for the assessment of teacher-child interaction quality in the German context. (shrink)

ABSTRACTDifficulties with inhibiting fear have been associated with the emergence of anxiety problems and poor response to cognitive–behavioural treatment. Fear inhibition problems measured using experimental paradigms involving aversive stimuli may be inappropriate for vulnerable samples and may not capture fear inhibition problems evident in everyday life. We present the Fear Inhibition Questionnaire, a self-report measure of fear inhibition abilities. We assess the FIQ’s factor structure across two cultures and how well it correlates with fear inhibition indices derived experimentally. Adolescent (...) participants from Hong Kong and England completed the FIQ, with the English participants also completing a conditioning and extinction task to assess fear inhibition problems. Across both cultures, the FIQ showed a single factor structure and low FIQ scores, or worse fear inhibition problems, were associated with self-reports of heightened anxiety. Correlation of FIQ scores with experimental indices, whi... (shrink)

It is questionable whether counterfeiting in many areas of life contributes to unethical behavior to a wider extent. If the notion is supported by data, then the moral damage in a society could be prevented by reducing the counterfeit self and behavior to a bare minimum. This study aimed at empirically testing the measurement model of counterfeit self of Wood et al. (2008) among Indonesians as well as theoretically reviewing counterfeit self roles in unethical behavior. The participants of this study (...) were 1,655 high school students (764 males, 891 females; Mage = 15.76 years old; SDage = 1.08 years) recruited through a purposive sampling technique in North Sumatera and West Kalimantan, Indonesia. The data analysis technique used was Confirmatory Factor Analysis. The results showed that the counterfeit self model--comprised of counterfeit self dimensions, namely Self-alienation (ALIEN), Inauthentic Living (LIVE), and Accepting External Influence (EXT)--was supported by the empirical data. However, the dimension of EXT could not be represented by its indicators. The study contributed to the psychological body of knowledge that the EXT dimension might need to be excluded from the measurement of counterfeit self on teenagers, especially in Indonesia and other Eastern countries. (shrink)

We examine the link between the growing emphasis on corporate social responsibility at the organizational level and beliefs about social responsibility at work (SRW) expressed by individuals. Drawing from theories of professionalism and diffusion of innovations (including practices and beliefs), we advance hypotheses about beliefs of managers and non-managers in 11 countries at two time periods, and use a unique international data set to test our hypotheses. Our general prediction that managers would score higher than non-managers on a measure of (...) SRW was not supported. However, further analysis revealed a more complex relationship moderated by the contextual factors of time frame and country inequality level. We discuss implications and extensions for future research. (shrink)

We examine the link between the growing emphasis on corporate social responsibility at the organizational level and beliefs about social responsibility at work (SRW) expressed by individuals. Drawing from theories of professionalism and diffusion of innovations (including practices and beliefs), we advance hypotheses about beliefs of managers and non‐managers in 11 countries at two time periods, and use a unique international data set to test our hypotheses. Our general prediction that managers would score higher than non‐managers on a measure of (...) SRW was not supported. However, further analysis revealed a more complex relationship moderated by the contextual factors of time frame and country inequality level. We discuss implications and extensions for future research. (shrink)

The goals of the study were to examine whether fundamentalism and authoritarianism could be distinguished by the Big Five factors of personality in American, Romanian and German samples, and to determine whether fundamentalism and authoritarianism could be distinguished by factor analysis in any of the three cultures. The results in all three cultures indicate that fundamentalism and authoritarianism have virtually identical personality correlates. In all three cultures, the two constructs were indistinguishable via exploratory factor analysis and (...) could only be distinguished via confirmatory factor analysis, although direction-of-wording effects dwarfed the differences between fundamentalism and authoritarianism. The findings suggest that researchers should view fundamentalism as religious authoritarianism, and should therefore be cautious when making inferences about religiosity from research on fundamentalism. (shrink)

As the most frequently used tool for measuring empathy, the Interpersonal Reactivity Index (IRI) is often scored by researchers arbitrarily and casually. Many commonly used IRI scoring approaches and their corresponding measurement models are unverified, which may make the conclusions of subsequent variable relation studies controversial and even misleading. We make the first effort to summarize these measurement models and to evaluate rationality of the common scoring methods of the IRI by confirmatory factor analysis, focusing on model fitting, (...) factor loading, and model-based reliability simultaneously. The results show that most of these models do not fit well, indicating that the scoring approaches of the IRI corresponding to these models may be problematic. Relatively speaking, better scoring approaches of the IRI include summing empathic concern and perspective taking as the total score of the IRI and reporting the score of perspective taking as cognitive empathy. (shrink)

School climate is a multidimensional construct of the quality of a student’s academic environment, often subsuming dimensions such as safety, instructional practices, social relationships, school facilities, and school connectedness. Positive school climate has beneficial effects on a wide range of adjustment variables in youth, including academic achievement, mental health, school attendance and graduation, and school-based behavior. Studies regarding school climate assessment have burgeoned in recent years but remain marked by limited sample sizes, narrow developmental levels, restricted items, unclear psychometric strength (...) across multiple demographic groups, and lack of integration with key student education contextual factors such as academic mindset and social emotional learning. The present study evaluated a comprehensive measure of aspects of school climate, academic mindset, and social emotional learning in a sample of 105,379 diverse students (Mage = 13.47 years; SD = 2.47). The 9-factor structure of the School Climate and Academic Mindset Inventory was supported via confirmatory factor analysis. A trimmed model displayed adequate goodness-of-fit for males and females, younger age groups, and European American, biracial/multiracial, Hispanic, Native American, and Native Hawaiian/Pacific Islander students. The trimmed model was slightly less strong for older age groups as well as for African American and Asian American students. The scale may be useful for assessing school climate interventions, longitudinal climate patterns, and school-based algorithms of future performance, though additional validation of the scale remains necessary. (shrink)

With small to modest sample sizes and complex models, maximum likelihood estimation of confirmatory factor analysis models can show serious estimation problems such as non-convergence or parameter estimates outside the admissible parameter space. In this article, we distinguish different Bayesian estimators that can be used to stabilize the parameter estimates of a CFA: the mode of the joint posterior distribution that is obtained from penalized maximum likelihood estimation, and the mean, median, or mode of the marginal posterior distribution (...) that are calculated by using Markov Chain Monte Carlo methods. In two simulation studies, we evaluated the performance of the Bayesian estimators from a frequentist point of view. The results show that the EAP produced more accurate estimates of the latent correlation in many conditions and outperformed the other Bayesian estimators in terms of root mean squared error. We also argue that it is often advantageous to choose a parameterization in which the main parameters of interest are bounded, and we suggest the four-parameter beta distribution as a prior distribution for loadings and correlations. Using simulated data, we show that selecting weakly informative four-parameter beta priors can further stabilize parameter estimates, even in cases when the priors were mildly misspecified. Finally, we derive recommendations and propose directions for further research. (shrink)

Reading is a complex cognitive task with the ultimate goal of comprehending the written input. For longer, connected text, readers generate a mental representation that serves as its basis. Due to limited cognitive resources, common models of discourse representation assume distinct processing levels, each relying on different processing mechanisms. However, only little research addresses distinct representational levels when text comprehension is assessed, analyzed or modelled. Moreover, current studies that tried to relate process measures of reading to comprehension did not consider (...) comprehension as a multi-faceted, but rather a uni-dimensional construct, usually assessed with one-shot items. Thus, the first aim of this paper is to use confirmatory factor analysis to test whether comprehension can be modelled as a uni-or multi-dimensional concept. The second aim is to investigate how well widely used one-shot items can be used to capture comprehension. 400 participants read one of three short stories of comparable length, linguistic characteristics, and complexity. Based on the evaluation of three independent raters per story, 16 wh-questions and 60 yes/no-statements were compiled in order to retrieve information at micro and inference level, and 16 main contents were extracted to capture information at the macro level in participants’ summaries. Still, only a fraction of these items showed satisfactory psychometric properties and factor loadings – a blatant result considering the common practice for item selection. For CFA, two models were set up that address text comprehension as either a one-dimensional construct, or a three-dimensional construct reflecting the three distinct representational levels. Across stories and item types, model fit was consistently better for the three-factor model providing evidence for a multi-dimensional construct of text comprehension. Our results provide concrete guidance for the preparation of comprehension measurements in studies investigating the reading process. (shrink)

Background: Risks to healthcare workers have escalated during the pandemic and they are likely to experience a greater level of stress. This cross-sectional study investigated mental distress among healthcare workers during the early phase of Coronavirus disease-2019 outbreak in India.Method: 140 healthcare workers of a tertiary care hospital in India were assessed for perceived stress and insomnia. A factor analysis with principal component method reduced these questions to four components which were categorized as insomnia, stress-related anxiety, stress-related irritability, (...) and stress-related hopelessness. Further statistical analyses were done on these factor scores to identify the predictors and investigate the differences between the different categories of healthcare workers.Result: Doctors had the highest level of anxiety among the healthcare workers. Both doctors and nurses perceived a greater level of irritability than the other HCWs. Compared to doctors and nurses, other HCWs were more likely to experience insomnia. Lower age, higher education, female gender, and urban habitat were associated with greater perception of anxiety. Older age, being quarantined, and single marital status were the significant predictors of irritability. Female gender, single marital-status, and higher number of medical ailments contributed to perceived hopelessness. Quarantine significantly predicted insomnia.Conclusion: Different categories of healthcare workers are experiencing varied mental health problems owing to their heterogeneous socio-demographic backgrounds. Tailored and personalized care, as well as policies, might help in alleviating their problems. Further research is warranted to explore the psychological distress and remedies among these frontline workers during and after the ongoing pandemic crisis. (shrink)

Since the 1990s, grammatical complexity has received substantial research attention in applied linguistics. The representation of grammatical complexity has expanded in L2 writing with the application of diverse measures in empirical studies in the recent three decades. In response to this situation, we found it important to revisit grammatical complexity, and an exploratory factor analysis was applied to explore latent dimensions of grammatical complexity in L2 writing. We analyzed Lu’s 14 grammatical complexity measures in the L2 corpus of (...) the British Academic Written English Corpus. We then proposed a four-factor model with “clausal subordination,” “phrasal construction”, “global length unit” and “others.” The four factors generally align with the types of grammatical complexity proposed in Lu, but differences on six measures are also found. Noteworthy points were discussed to interpret the reasons behind the differences. Research implications are provided to show further research directions. (shrink)