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Multiple factor analysis

Psychological Review 38 (5):406-427 (1931)

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  1. The Founding of Numerical Taxonomy.Keith Vernon - 1988 - British Journal for the History of Science 21 (2):143-159.
    This paper is based on my M.Sc. dissertation: ‘The Origins of Numerical Taxonomy’ 1985, submitted to the University of Leicester during the tenure of a D.E.S. State Studentship. For this work I drew extensively on interviews with Professors A. J. Cain, G. A. Harrison, R. R. Sokal and P. H. A. Sneath. I am very grateful to them for their time, interest and encouragement. Without the indefatigable assistance of Jon Harwood, this paper would never have been finished.
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  • Components and factors: Complementary “units” of analysis?John B. Carrol - 1980 - Behavioral and Brain Sciences 3 (4):587-588.
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  • A cognitive scientist's view of intelligence.Allan Collins - 1980 - Behavioral and Brain Sciences 3 (4):588-589.
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  • Sketch of a componential subtheory of human intelligence.Robert J. Sternberg - 1980 - Behavioral and Brain Sciences 3 (4):573-584.
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  • Module or muddle?Janet Dean Fodor - 1985 - Behavioral and Brain Sciences 8 (1):7-9.
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  • Encapsulation and expectation.Roger Schank & Larry Hunter - 1985 - Behavioral and Brain Sciences 8 (1):29-30.
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  • Vertically unparalleled.Ignatius G. Mattingly & Alvin M. Liberman - 1985 - Behavioral and Brain Sciences 8 (1):24-26.
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  • The modularity of behavior.Peter R. Killeen - 1985 - Behavioral and Brain Sciences 8 (1):22-23.
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  • Cognitive self-organization and neural modularity.Stephen Grossberg - 1985 - Behavioral and Brain Sciences 8 (1):18-19.
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  • Controlled versus automatic processing.Robert J. Sternberg - 1985 - Behavioral and Brain Sciences 8 (1):32-33.
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  • Do parents make a difference to children's academic achievement? Differences between parents of higher and lower achieving students.Nicky Jacobs & David Harvey - 2005 - Educational Studies 31 (4):431-448.
    Differences in family factors in determining academic achievement were investigated by testing 432 parents in nine independent, coeducational Melbourne schools. Schools were ranked and categorized into three groups , based on student achievement scores in their final year of secondary school and school improvement indexes. Parents completed a questionnaire investigating their attitudes towards the school environment, their aspirations, expectations, encouragement and interest in their child’s education . They also responded to six open‐ended questions on their attitudes to achievement and to (...)
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  • Personality traits by factorial analysis (I).C. A. Gibb - 1942 - Australasian Journal of Philosophy 20 (1):1-15.
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  • The curve-fitting problem: An objectivist view.Stanley A. Mulaik - 2001 - Philosophy of Science 68 (2):218-241.
    Model simplicity in curve fitting is the fewness of parameters estimated. I use a vector model of least squares estimation to show that degrees of freedom, the difference between the number of observed parameters fit by the model and the number of explanatory parameters estimated, are the number of potential dimensions in which data are free to differ from a model and indicate the disconfirmability of the model. Though often thought to control for parameter estimation, the AIC and similar indices (...)
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  • Precis of the modularity of mind.Jerry A. Fodor - 1985 - Behavioral and Brain Sciences 8 (1):1-42.
    The Modularity of Mind proposes an alternative to the or view of cognitive architecture that has dominated several decades of cognitive science. Whereas interactionism stresses the continuity of perceptual and cognitive processes, modularity theory argues for their distinctness. It is argued, in particular, that the apparent plausibility of New Look theorizing derives from the failure to distinguish between the (correct) claim that perceptual processes are inferential and the (dubious) claim that they are unencapsidated, that is, that they are arbitrarily sensitive (...)
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  • Does Financial Literacy Affect Household Financial Behavior? The Role of Limited Attention.Shulin Xu, Zhen Yang, Syed Tauseef Ali, Yunfeng Li & Jingwen Cui - 2022 - Frontiers in Psychology 13.
    Financial literacy is essential for every individual concerned with public welfare and household portfolio choices. In this study, we investigate the impact of household financial literacy on individuals’ financial behavior using the China Household Financial Survey Data of 2015 and 2017. The results show that financial knowledge has significant current, long-term, and dynamic effects on financial behavior. This finding suggests that financial literacy is an important factor in shaping and improving financial behavior. Second, financial literacy can improve residents’ limited attention, (...)
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  • Methodological empiricism and the choice of measurement models in social sciences.Clayton Peterson - 2018 - European Journal for Philosophy of Science 8 (3):831-854.
    Realism is generally assumed as the correct position with regards to psychological research and the measurement of psychological attributes in psychometrics. Borsboom et al., 203–219 2003), for instance, argued that the choice of a reflective measurement model necessarily implies a commitment to the existence of psychological constructs as well as a commitment to the belief that empirical testing of measurement models can justify their correspondence with real causal structures. Hood :739–761 2013) deemphasized Borsboom et al.’s position and argued that the (...)
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  • Mechanisms of Moral Disengagement in the Endorsement of Asylum Seeker Policies in Australia.Elizabeth M. Greenhalgh, Susan E. Watt & Nicola S. Schutte - 2015 - Ethics and Behavior 25 (6):482-499.
    Moral disengagement is a process whereby the self-regulatory mechanisms that would otherwise sanction unethical conduct can be selectively disabled. The present research proposed that moral disengagement might be adopted in the endorsement of asylum seeker policies in Australia, and in order to test this, a scale was developed and was validated in two studies. Factor analysis demonstrated that a 2-factor, 16-item structure had the best fit, and the construct validity of the scale was supported. Results provide evidence for the use (...)
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  • Realism and Uncertainty of Unobservable Common Causes in Factor Analysis.Kent Johnson - 2016 - Noûs 50 (2):329-355.
    Famously, scientific theories are underdetermined by their evidence. This occurs in the factor analytic model, which is often used to connect concrete data to hypothetical notions. After introducing FA, three general topics are addressed. Underdetermination: the precise reasons why FA is underdetermined illuminates various claims about underdetermination, abduction, and theoretical terms. Uncertainties: FA helps distinguish at least four kinds of uncertainties. The prevailing practice, often encoded in statistical software, is to ignore the most difficult kinds, which are essential to FA's (...)
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  • Combe's crucible and the music of the modules.John C. Marshall - 1985 - Behavioral and Brain Sciences 8 (1):23-24.
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  • Too little and latent.John Morton - 1985 - Behavioral and Brain Sciences 8 (1):26-27.
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  • Evidence for and against modularity.Earl Hunt - 1985 - Behavioral and Brain Sciences 8 (1):19-20.
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  • Unusual Configurations of Personality Traits Indicate Multiple Patterns of Their Coalescence.Jüri Allik, Martina Hřebíčková & Anu Realo - 2018 - Frontiers in Psychology 9.
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  • Structure of the Wechsler Intelligence Scale for Children – Fourth Edition in a Group of Children with ADHD.Rapson Gomez, Alasdair Vance & Shaun D. Watson - 2016 - Frontiers in Psychology 7.
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  • A Cross-Cultural Examination of SNS Usage Intensity and Managing Interpersonal Relationships Online: The Role of Culture and the Autonomous-Related Self-Construal.Soon Li Lee, Jung-Ae Kim, Karen Jennifer Golden, Jae-Hwi Kim & Miriam Sang-Ah Park - 2016 - Frontiers in Psychology 7.
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  • Old and New Ideas for Data Screening and Assumption Testing for Exploratory and Confirmatory Factor Analysis.David B. Flora, Cathy LaBrish & R. Philip Chalmers - 2012 - Frontiers in Psychology 3.
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  • The centrality of modules.Howard Gardner - 1985 - Behavioral and Brain Sciences 8 (1):12-14.
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  • Modularity: Contextual interactions and the tractability of nonmodular systems.Sam Glucksberg - 1985 - Behavioral and Brain Sciences 8 (1):14-15.
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  • Reply module.Jerry A. Fodor - 1985 - Behavioral and Brain Sciences 8 (1):33-42.
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  • Regularized Exploratory Bifactor Analysis With Small Sample Sizes.Sunho Jung, Dong Gi Seo & Jungkyu Park - 2020 - Frontiers in Psychology 11.
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  • The theoretical status of latent variables.Denny Borsboom, Gideon J. Mellenbergh & Jaap van Heerden - 2003 - Psychological Review 110 (2):203-219.
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  • Using bifactor exploratory structural equation modeling to examine global and specific factors in measures of sports coaches' interpersonal styles.Andreas Stenling, Andreas Ivarsson, Peter Hassmén & Magnus Lindwall - 2015 - Frontiers in Psychology 6:154492.
    In the present work we investigated distinct sources of construct-relevant psychometric multidimensionality in two sport-specific measures of coaches’ need-supportive (ISS-C) and controlling interpersonal (CCBS) styles. A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim. In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items. In Study 2, using a sample (...)
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  • Social and Individual Religious Orientations Exist Within Both Intrinsic and Extrinsic Religiosity.Lloyd Sloan, Jamie Barden & Debbie Van Camp - 2016 - Archive for the Psychology of Religion 38 (1):22-46.
    This research presents the development of a measure of religiosity that includes social intrinsic religiosity as distinct from extrinsic religiosity and from the typical conceptualization of intrinsic religiosity as an individual orientation. Study 1 developed the measure using exploratory and confirmatory factor analysis; the results confirmed two intrinsic identity factors and two extrinsic benefit factors. Correlations with previously established religiosity measures demonstrate the scales construct validity and that social intrinsic religiosity is independent from extrinsic religiosity. In Study 2, differential responding (...)
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  • Quinity, isotropy, and Wagnerian rapture.Georges Rey - 1985 - Behavioral and Brain Sciences 8 (1):27-28.
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  • Feeling and smelling psychosis.Richard Noll - 2018 - History of the Human Sciences 31 (2):22-41.
    Some limitations of ‘category work’ in the history of psychiatry are illustrated via the example of attempts within US alienism and psychiatry since 1889 to identify psychosis and its prodromes. A slowly evolving acceptance of the need for specifiable biological disease concepts, distinct diagnostic categories and defined boundaries of the ‘before and after’ of psychosis among some elite physicians challenged widespread vernacular methods of diagnosis expressed as intuition, feelings or scent as well as local practices of creating novel placeholder terms (...)
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  • Classification Accuracy of Mixed Format Tests: A Bi-Factor Item Response Theory Approach.Wei Wang, Fritz Drasgow & Liwen Liu - 2016 - Frontiers in Psychology 7.
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  • Three perspectives on intelligence.James W. Pellegrino - 1980 - Behavioral and Brain Sciences 3 (4):598-599.
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  • Claims, counterclaims, and components: A countercritique of componential analysis.Robert J. Sternberg - 1980 - Behavioral and Brain Sciences 3 (4):599-614.
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  • Lexicon as module.Mark S. Seidenberg - 1985 - Behavioral and Brain Sciences 8 (1):31-32.
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  • Faculties, modules, and computers.Daniel N. Robinson - 1985 - Behavioral and Brain Sciences 8 (1):28-29.
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  • The Shame and Guilt Scales of the Test of Self-Conscious Affect-Adolescent : Psychometric Properties for Responses from Children, and Measurement Invariance Across Children and Adolescents.Shaun D. Watson, Rapson Gomez & Eleonora Gullone - 2016 - Frontiers in Psychology 7.
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  • Factors or processes in intelligence.Paul Kline - 1980 - Behavioral and Brain Sciences 3 (4):596-597.
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  • A Thurstonian's reaction to a componential theory of intelligence.John R. Frederiksen - 1980 - Behavioral and Brain Sciences 3 (4):590-591.
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  • The language of componential analysis.Earl Hunt - 1980 - Behavioral and Brain Sciences 3 (4):592-595.
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  • Components to the rescue.Nathan Brody - 1980 - Behavioral and Brain Sciences 3 (4):586-586.
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  • Parallel processing explains modular informational encapsulation.Marcel Kinsbourne - 1985 - Behavioral and Brain Sciences 8 (1):23-23.
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  • The mind as a Necker Cube.Jerome Kagan - 1985 - Behavioral and Brain Sciences 8 (1):21-22.
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  • On Gall's reputation and some recent “new phrenology”.C. G. Gross - 1985 - Behavioral and Brain Sciences 8 (1):16-18.
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  • Discussion. How to weight scientists' probabilities is not a big problem: Comment on Barnes.P. E. Meehl - 1999 - British Journal for the Philosophy of Science 50 (2):283-295.
    Assuming it rational to treat other persons' probabilities as epistemically significant, how shall their judgements be weighted (Barnes [1998])? Several plausible methods exist, but theorems in classical psychometrics greatly reduce the importance of the problem. If scientists' judgements tend to be positively correlated, the difference between two randomly weighted composites shrinks as the number of judges rises. Since, for reasons such as representative coverage, minimizing bias, and avoiding elitism, we would rarely employ small numbers of judges (e.g. less than 10), (...)
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  • A multidimensional scale for measuring business ethics: A purification and refinement. [REVIEW]Randall S. Hansen - 1992 - Journal of Business Ethics 11 (7):523 - 534.
    Many researchers in the field of business ethics have attempted to develop methods to determine and evaluate the ethics of a variety of different classes of people, including students, professionals, and mixed samples of students and professionals. Unfortunately, most of these studies were disjunctive, simply adding confusion to an already unfocused area of research. However, Reidenbach and Robin (1988, 1990), have changed this trend by attempting to quantify the various ethical philosophies into a multi-dimensional scale of business ethics. This paper (...)
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  • Exploratory Factor Analysis and Theory Generation in Psychology.Clayton Peterson - 2017 - Review of Philosophy and Psychology 8 (3):519-540.
    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 (...)
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