1 t constructs in exploratory and confirmatory
factor analyses.
2 pendent variable in a variety of exploratory
factor analyses.
3 n on-campus assessment were included in risk
factor analyses.
4 ith strong support for null effects in Bayes
Factor analyses.
5 yses, including Exploratory and Confirmatory
Factor Analyses.
6 5% after 2000 (P < .001), allowing for risk
factor analyses among the latter 75 patients.
7 For the risk
factor analyses (
among participants who completed on-cam
8 We performed
factor analyses and applied factor scores to derive diet
9 between groups were analyzed by multivariate
factor analyses and cluster analysis.
10 Using risk
factor analyses and discrete choice models, we assessed
11 We implemented exploratory
factor analyses and evaluated associations between facto
12 After
factor analyses and internal consistency evaluation, we
13 on, independent samples t-test, confirmatory
factor analyses and structural equation model.
14 We used
factor analyses and the Healthy Eating Index-2015 (HEI-2
15 at baseline and follow-up were reduced using
factor analyses,
and factors (both at baseline and at th
16 Further item-level
factor analyses are needed to determine the appropriate
17 eas that provide fundamental tools for human
factors analyses are summarized, and several current app
18 se the mobility of B3 based on anisotropic B-
factor analyses at ultrahigh resolution, consistent with
19 The mCSMS and the
factor analyses-
based CSMSs displayed poorer validity an
20 Bayes
factor analyses (
Bayes factor = 6.12) and results from t
21 In
factor analyses,
both scales reflected a combination of
22 Factor analyses categorized social needs as basic needs,
23 mples for exploratory (EFA) and confirmatory
factor analyses (
CFA).
24 tent factors in exploratory and confirmatory
factor analyses (
CFA).
25 Statistical methods used included
factor analyses,
Cox and linear regression, and twin mod
26 assessed using exploratory and confirmatory
factor analyses (
EFA and CFA).
27 Factor analyses (
exploratory and confirmatory) were perf
28 s were conducted in each population-baseline
factor analyses exploring factors known at baseline and
29 s in their diagnostic accuracy impacted risk
factor analyses for FFV infection.
30 data sets for different locations and times;
factor analyses for heat vulnerability are more robust t
31 lations in one of the first large-scale risk
factor analyses for new herd breakdowns to combine data
32 tal disorders were analyzed via confirmatory
factor analyses for the entire National Comorbidity Surv
33 iatric screening tools to perform prognostic
factor analyses for treatment safety during the first 4
34 lected samples for metagenomic and host skin
factor analyses from the forearm, buttock, and facial sk
35 her the methodological quality of prognostic
factor analyses has changed over time.
36 Factor analyses have documented four underlying indices
37 Prognostic
factor analyses have proven useful in predicting outcome
38 The majority of previous
factor analyses,
however, have used only surrogate measu
39 The majority of previous
factor analyses,
however, have used only surrogate measu
40 Univariable and multivariable risk
factor analyses identified history of diabetes, elevated
41 Common
factor analyses identified three correlated factors (def
42 Transcription
factor analyses identify loss of ELF5 and gain of AP-1 s
43 s, we performed exploratory and confirmatory
factor analyses in 864 patients with major depressive di
44 e was replicated with additional exploratory
factor analyses in the same sample at 4-month and 8-mont
45 Confirmatory
factor analyses,
including item response theory calibrat
46 HPV variant and behavioral risk
factor analyses indicated that long-term detection of th
47 Factor analyses indicated that the 31 items loaded well
48 Bayes
factor analyses indicated the evidence was in favour of
49 pruritus using exploratory and confirmatory
factor analyses,
item response theory, and item fit anal
50 ical age, followed by regional and exposomal
factor analyses,
linked to accelerated aging.
51 These progression data and the risk
factor analyses may be helpful to investigators conducti
52 Four dietary patterns were identified with
factor analyses:
meats and high-fats; prudent diets; sug
53 Applying
factor analyses methods to phenotypic data (2006-2009) o
54 Transcription
factor analyses nominated potential regulators of the fu
55 We performed
factor analyses of 8 metabolic risks at baseline and fol
56 report presents the results of confirmatory
factor analyses of patterns of comorbidity among 10 comm
57 No adequate
factor analyses of signs and symptoms of mania have been
58 Exploratory and confirmatory
factor analyses of student responses identified 8 factor
59 Factor analyses of the raw absorbance data sets (categor
60 Coping strategies were characterized via
factor analyses of the responses.
61 Factor analyses of the test scores produced three factor
62 Pearson's correlation and
factor analyses of two datasets (i.e., waves 1 and 2) fr
63 between food groups were tested by using one-
factor analyses of variance.
64 Both regression and
factor analyses pointed to the importance of proactive s
65 ontrols with gene function and transcription
factor analyses potentially related to elevated inflamma
66 Factor analyses produced some evidence for the unity of
67 duction of large numbers of formulaic single-
factor analyses,
relating single predictors to specific
68 Factor analyses resulted in 3 symptom factor scores: mus
69 Factor analyses resulted in a final 4-factor solution wi
70 Exploratory and confirmatory
factor analyses resulted in a two factor solution compri
71 Multi-omics
factor analyses revealed differing contributions of each
72 Secondly, multiple-group confirmatory
factor analyses revealed that warmth and competence perc
73 We performed
factor analyses separately for men and women in the enti
74 Factor analyses showed that empathy and apathy are disti
75 Factor analyses suggest that the structure underlying me
76 Factor analyses supported a three-factor model: Quality
77 Most studies presented risk
factor analyses that were not intended to be used for pr
78 We applied
factor analyses to an extensive battery of clinical vari
79 ses and 2,410 controls were grouped by using
factor analyses to describe various aspects of lifestyle
80 w-up by using risk-stratified and prognostic
factor analyses to determine if treatment outcomes diffe
81 Additionally, we showed that risk
factor analyses utilizing a qPCR Ct cut-off of 35 or 40
82 s supported by multiparameter solvent effect
factor analyses utilizing the KOMPH2 equation which, in
83 asize the postengraftment timing of IA; risk
factor analyses verify previously recognized risk factor
84 ng a systematic literature search for single-
factor analyses,
we identified 341 NHANES-derived resear
85 Using
factor analyses,
we identified a set of criteria for def
86 Finally, as is standard in global risk
factor analyses,
we used the effect size of risk factors
87 Pathway and transcription
factor analyses were also conducted on significantly rhy
88 Risk
factor analyses were performed over multiple spatial sca
89 Principal component
factor analyses were performed using eight IRS-related p
90 Risk
factor analyses were performed using the Fisher exact te
91 Risk-
factor analyses were performed with respect to the cofac
92 Exploratory and confirmatory
factor analyses were performed.
93 Confirmatory
factor analyses were used to create latent constructs of
94 Exploratory and confirmatory
factor analyses were used to evaluate the factor structu
95 Exploratory
factor analyses were used to examine the number and comp
96 Correlational and exploratory
factor analyses were used to quantify the relative overl
97 For each dietary
factor, analyses were done at baseline, for trial years
98 trol for demographic and cardiovascular risk
factors; analyses were stratified by the presence of cor
99 nstruct validity was assessed in exploratory
factor analyses which supported a refinement in the conc
100 e has good structural validity (confirmatory
factor analyses with Comparative Fit Index > 0.90 and Ro
101 In exploratory
factor analyses with data from subgroup 1, three factors
102 ensionality of the items was evaluated using
factor analyses with results suggesting 3 factors in fai
103 ensionality of the items was evaluated using
factor analyses,
with results suggesting three factors i
104 observed with comorbid PTSD/TBI in dual-risk
factor analyses,
with significant 2.69-fold and 3.70-fol
105 Factor analyses yielded 3 factors in the wife and husban