The use of an electronic computer in principal axes factor analysis.

Wrigley, Charles; Neuhaus, Jack O.

doi:10.1037/h0042418

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…The objective was to examine if the administration of the Brazilian version of COHIP-SF [2] at different times (seven days apart) indicated statistically similar factor structures. For that purpose, the congruence coefficient [20] was adopted, in which the factorial load of each variable was used, that is, each question of the Brazilian version of COHIP-SF 19. Tools containing 20 questions, with a 5% significance, should have a congruence coefficient greater than 0.48 [21].…”

Section: Comparison Of Cohip-sf 19 Factor Structures Administered At mentioning

confidence: 99%

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Cross-Cultural Adaptation and Validation of the COHIP-SF19 to be used in Brazil

Martins

Parma

Cristiano

et al. 2018

Pesqui. bras. odontopediatria clín. integr.

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Objective: To carry out a cross-cultural adaptation and validation of the Child Oral Health Impact Profile-COHIP-SF 19 to be used in Brazil. Material and Methods: The adaptation process followed five stages: translation into Portuguese, synthesis of different translations, back-translation, expert panel analysis, and pre-final version testing. The final version was administered at two different moments to a sample of 100 schoolchildren aged 8-15 years in Criciúma, Brazil. The Brazilian version of the Child Perceptions Questionnaire (CPQ11-14) was administered as a comparison parameter. In both administrations of the questionnaire, factor analysis, principal component extraction, and factor rotation were performed. The internal validation was performed by using the α-Cronbach coefficient and the congruence coefficient between the rotated factors in the two administrations of the questionnaire. In order to analyze the external validity, the factors of the first administration of COHIP-SF 19 and CPQ11-14 factors were compared by using simple linear regression analysis and congruence coefficient. Results: A Brazilian version of the questionnaire was obtained. The results of the internal validity analysis indicated adequate internal consistency and statistically significant internal congruence in the two factors identified in the factorial analysis. The linear regression analysis between the COHIP-SF 19 and CPQ11-14 showed weak correlations, and the congruence indices were not statistically significant. Conclusion: The Brazilian version of COHIP-SF 19 showed good internal consistency, but lacked external validity when compared to CPQ11-14.

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Section: Comparison Of Cohip-sf 19 Factor Structures Administered At mentioning

confidence: 99%

“…The aim was to examine if these instruments were measuring the same phenomenon. For that purpose, the congruence coefficient was used [20]. Likewise, the value of the proposed congruence coefficient should be greater than 0.48 [21].…”

Section: Comparison Of the Factor Structures Of The Proposed Version mentioning

confidence: 99%

Cross-Cultural Adaptation and Validation of the COHIP-SF19 to be used in Brazil

Martins

Parma

Cristiano

et al. 2018

Pesqui. bras. odontopediatria clín. integr.

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“…To separate our bulk data, comprising 64 µs of simulations in total, into states representing Gs GDP conformations with different structural properties, we combined the two datasets of Gs GDP and β 2 AR-Gs GDP simulations and analyzed them in terms of the principal components 43,44 GDP upon association with the receptor provides potential clues to pathways by which the signal is transmitted from the receptor to the nucleotide binding pocket. Our contact analysis suggests two pathways centered on α5.…”

Section: Extended Data Fig 2 Table S 4)mentioning

confidence: 99%

Mechanistic insights into G protein association with a G protein-coupled receptor

Batebi

Pérez‐Hernández

Mathiesen

et al. 2023

Preprint

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G protein-coupled receptors (GPCRs) activate heterotrimeric G proteins by promoting guanine nucleotide exchange. Here, we investigate the process of functional association between G proteins and GPCRs and describe the events that ultimately lead to the ejection of GDP from its binding pocket in the Gα subunit. In atomic detail, we reveal the temporal progression of structural rearrangements of GDP-bound heterotrimeric Gs protein (GsGDP) upon coupling to the β2-adrenergic receptor (β2AR) using molecular dynamics simulations. The binding of GsGDP to the β2AR is followed by long-range allosteric effects that significantly reduce the energy needed for GDP release, the rate-limiting step during G-protein activation. In particular, the opening of α1-αF helices, displacement of the αG helix, and the opening of the α-helical domain weaken the interaction between GDP and the G protein. Signal transduction to the G protein occurs via a novel receptor interface, confirmed by site-directed mutagenesis and functional assays. From this β2AR-GsGDP intermediate, the G protein must undergo an in-plane rotation along the receptor axis to reach the β2AR-Gsempty state. The simulations shed light on how the structural elements at the receptor-G-protein interface interact to transmit the signal over 30Å to the nucleotide-binding site. Our analysis extends the current limited view of nucleotide-free snapshots to include additional states and structural features responsible for signaling and G protein coupling specificity.

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“…Means, standard deviations, and/or variances and covariances can be obtained in the same operation if required. The second stage is the calculation of principal axes factor loadings (6,19). The third is the rotation of these loadings by the quartimax or some other analytic method.…”

Section: Operation Of An Electronic Computermentioning

confidence: 99%