Does maternal psychopathology bias reports of offspring symptoms? A study using moderated non‐linear factor analysis

2021 ◽  
Author(s):  
Thomas M. Olino ◽  
Giorgia Michelini ◽  
Rebekah J. Mennies ◽  
Roman Kotov ◽  
Daniel N. Klein
Keyword(s):  
Factor Analysis ◽  
Maternal Psychopathology ◽  
Linear Factor ◽  
Non Linear

scholarly journals Measuring Global Cognition in a Pooled Sample using Modified Non-Linear Factor Analysis

2020 ◽  
Author(s):  
Max Reason ◽  
Yang Claire Yang ◽  
Allison Aiello ◽  
Dan Belsky ◽  
Patrick Curran ◽  
...  
Keyword(s):  
Public Health ◽  
Factor Analysis ◽  
Life Course ◽  
Adult Life ◽  
The United States ◽  
Linear Factor ◽  
Non Linear ◽  
Global Cognition ◽  
Pooled Sample ◽  
Representative Samples

Currently, studies of cognition and cognitive decline in the United States are limited by the use of samples that only provide data for respondents during one stage of the adult life course. By using an Integrative Data Analysis (IDA) framework, it is possible to pool multiple national representative samples together in order to create a unified dataset that includes respondents over the entire adult life course. This study applies an IDA framework to two independent public health datasets to create a commensurate measure of cognition using Modified Non-Linear Factor Analysis (MNLFA). The overall goal is to demonstrate the process of using MNLFA for the study of cognition in a pooled dataset.

Non-Linear Factor Recovery for Visual-Inertial SLAM

2020 ◽  
Author(s):  
Liming Zhao ◽  
Dazhou Long ◽  
Yi Zhang ◽  
Xiaolin Hu ◽  
Bin Xing
Keyword(s):  
Linear Factor ◽  
Non Linear

scholarly journals The appropriateness of sum scores as estimates of factor scores in the multiple factor analysis of ordered-categorical responses.

2020 ◽  
Author(s):  
Pere Ferrando ◽  
Urbano Lorenzo-Seva
Keyword(s):  
Factor Analysis ◽  
Unit Weight ◽  
Factor Scores ◽  
Multiple Factor Analysis ◽  
Non Linear ◽  
Categorical Responses ◽  
Sum Scores ◽  
Biased Estimates ◽  
Ordered Categorical ◽  
Multiple Factor

<p>Unit-weight sum scores (UWSSs) are routinely used as estimates of factor scores on the basis of solutions obtained with the non-linear exploratory factor analysis (EFA) model for ordered-categorical responses. Theoretically, this practice results in a loss of information and accuracy, and is expected to lead to biased estimates. However, the practical relevance of these limitations is far from clear. In this article we adopt an empirical view, and propose indices and procedures (some of them new) for assessing the appropriateness of UWSSs in non-linear EFA applications. A new automated approach for obtaining UWSSs that maximize fidelity and correlational accuracy is proposed. The appropriateness of UWSSs under different conditions and the behavior of the present proposal in comparison with other more common approaches are assessed with a simulation study. A tutorial for interested practitioners is presented using an illustrative example based on a well-known personality questionnaire. All the procedures proposed in the article have been implemented in a well-known noncommercial EFA program. </p>

Clustering non-linear interactions in factor analysis

METRON ◽  
2020 ◽  
Vol 78 (3) ◽  
pp. 329-352
Author(s):  
Erick da Conceição Amorim ◽  
Vinícius Diniz Mayrink
Keyword(s):  
Factor Analysis ◽  
Non Linear ◽  
Linear Interactions

scholarly journals Testing for Convergence in the European Insurance Sector: A Non-Linear Factor Approach

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Nicholas Apergis ◽  
Alexandros Gabrielsen ◽  
James Payne ◽  
Paolo Zagaglia
Keyword(s):  
Linear Factor ◽  
Insurance Sector ◽  
Non Linear ◽  
European Insurance

DIFFICULTY FACTORS AND NON-LINEAR FACTOR ANALYSIS1

1965 ◽  
Vol 18 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Roderick P. McDonald
Keyword(s):  
Linear Factor ◽  
Non Linear

scholarly journals Identifiability of Spurious Factors Using Linear Factor Analysis with Binary Items

1983 ◽  
Vol 7 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Samuel B. Green
Keyword(s):  
Factor Analysis ◽  
Linear Factor

Simultaneous mixture analysis by using non-linear spectrophotometric data and linear iterative target transformation factor analysis

2005 ◽  
Vol 531 (1) ◽  
pp. 153-160 ◽  
Author(s):  
H. Abdollahi ◽  
M.R. Yaftian ◽  
S. Zeinali
Keyword(s):  
Factor Analysis ◽  
Mixture Analysis ◽  
Transformation Factor ◽  
Non Linear ◽  
Spectrophotometric Data
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