Appropriateness and limitations of factor analysis methods utilized in psychology and kinesiology: Part II

Trninić, Viktorija; Jelaska, Igor; Janez, Štalec

doi:10.5937/fizkul1301001t

Cited by 16 publications

(9 citation statements)

References 54 publications

(59 reference statements)

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“…First, the results of factor analysis depend on how well the factors used in analysis are defined and measured. Second, as indicated by Trninić, Jelaska and Štalec (2013), empirical studies are usually indecisive about factors that should be included to measure different latent variables (Trninić, Jelaska and Štalec, 2013, p.13). Future research can apply interviews and cross-country comparisons to provide rich information.…”

Section: Resultsmentioning

confidence: 99%

Adoption, Importance and Barriers to the Implementation of Contemporary Management Accounting Practices: Evidence from Egypt

Hussein

2017

AFR

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In present times, complexity in the business environment, and advanced technology has intensified the challenges for more management accounting information to meet global competition. Therefore, contemporary management accounting practices (CMAPs), which focus on financial and non-financial information, have emerged to support managers' decision-making processes. This research is aimed at examining the adoption, importance and barriers to the implementation of contemporary management accounting practices. To achieve its objectives, the research conducted a survey and collected data on forty MAPs. The methodology of the study relied on factor analysis to identify and group different variables into the main factors that contribute to MAPs. In terms of MAPs adoption, the results indicated 9 factors: fundamental traditional management accounting practices (TMAPs); control; world class manufacture (WCM); performance evaluation non-financial; budgeting for planning cash flows; contemporary decision support; traditional decision support; planning and capital budget practice. In terms of importance there are 10 factors; benchmarking practices; costing and decision support; fundamental TMAPs; traditional performance evaluation; control; contemporary performance evaluation; budget for planning day to day; WCM -MRP practice; product life cycle practice and performance evaluation -customer satisfaction. The main conclusion was that the relative adoption of TMAPs is higher than CMAPs. However, Egyptian companies are realizing the importance of large number of CMAPs. Moreover, the research revealed that the key barriers limiting the implementation of CMAPs were the length of time it took to change the societal values and practices, the high degree of uncertainty avoidance and the high cost implementing these advanced practices.

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Section: Resultsmentioning

confidence: 99%

Adoption, Importance and Barriers to the Implementation of Contemporary Management Accounting Practices: Evidence from Egypt

Hussein

2017

AFR

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“…Although a 5-factor structure was most frequently proposed (9)(10)(11)(12), it has continuously failed to be confirmed in independent samples (12)(13)(14)(15). Interpretations of previous factor models are, furthermore, complicated by lack of sparsity (all items contribute to any factor) (16) and by coexistence of positive and negative weights (17). Finally, most previous studies investigated rather small and geographically restricted samples, raising doubts over generalization to different populations and medical systems because systematic cross-validation to assess stability and generalizability have rarely been performed.…”

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confidence: 99%

Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study

Chen

Patil

Weis

et al. 2020

Biological Psychiatry

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BACKGROUND: Disentangling psychopathological heterogeneity in schizophrenia is challenging, and previous results remain inconclusive. We employed advanced machine learning to identify a stable and generalizable factorization of the Positive and Negative Syndrome Scale and used it to identify psychopathological subtypes as well as their neurobiological differentiations. METHODS: Positive and Negative Syndrome Scale data from the Pharmacotherapy Monitoring and Outcome Survey cohort (1545 patients; 586 followed up after 1.35 6 0.70 years) were used for learning the factor structure by an orthonormal projective non-negative factorization. An international sample, pooled from 9 medical centers across Europe, the United States, and Asia (490 patients), was used for validation. Patients were clustered into psychopathological subtypes based on the identified factor structure, and the neurobiological divergence between the subtypes was assessed by classification analysis on functional magnetic resonance imaging connectivity patterns. RESULTS: A 4-factor structure representing negative, positive, affective, and cognitive symptoms was identified as the most stable and generalizable representation of psychopathology. It showed higher internal consistency than the original Positive and Negative Syndrome Scale subscales and previously proposed factor models. Based on this representation, the positive-negative dichotomy was confirmed as the (only) robust psychopathological subtypes, and these subtypes were longitudinally stable in about 80% of the repeatedly assessed patients. Finally, the individual subtype could be predicted with good accuracy from functional connectivity profiles of the ventromedial frontal cortex, temporoparietal junction, and precuneus. CONCLUSIONS: Machine learning applied to multisite data with cross-validation yielded a factorization generalizable across populations and medical systems. Together with subtyping and the demonstrated ability to predict subtype membership from neuroimaging data, this work further disentangles the heterogeneity in schizophrenia.

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“…Thus, factor analytic tests measuring efficacy should be the choice in journals in the SS's disciplines. Although widely recommended and adopted in the SSR, several unresolved issues such as the appropriate sample size, possibilities of obtaining ambiguous results, the difficulty of determining the number of factors to accept, and mathematical problems (Trninić et al, 2013) surround the techniques. The practice of factor analysis should be preceded by adequate training as the process is technical and is expected to provide an outcome for decisions.…”

Section: Factor Analysismentioning

confidence: 99%

The current phase of social sciences research: A thematic overview of the literature

Babalola

Nwanzu

2021

Cogent Social Sciences

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Social sciences research (SSR) is an enterprise that is continuously evolving, but not without some debilitating issues that impede the realization of its full potential and usefulness. SSR, as a human initiative and activity, is discussed. The paper features the current methods and authorship issues that enhance the research outcomes' validity. The argument advanced because while scholars continue to explore processes for research advancement, minimize where possible by putting an end to vices such as falsification, plagiarism, inappropriate methodology, and wrong data analysis. At the same time, while significant challenges are related to misconduct and dishonesty. The present paper expanded and updated the literature and proposed bringing the resources available to the social science researchers to enhance research outcomes. Overall, the paper recommends continuous strives for tools, and process enhancement and a demonstration of integrity by the stakeholders in SSR conduct to achieve field acceptance.

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Appropriateness and limitations of factor analysis methods utilized in psychology and kinesiology: Part II

Cited by 16 publications

References 54 publications

Adoption, Importance and Barriers to the Implementation of Contemporary Management Accounting Practices: Evidence from Egypt

Adoption, Importance and Barriers to the Implementation of Contemporary Management Accounting Practices: Evidence from Egypt

Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study

The current phase of social sciences research: A thematic overview of the literature

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