Sentences with phrase «factor loading =»
Three items loaded on Factor 1 that was labeled relationship satisfaction: items measuring relationship happiness (factor loading =.692); emotional satisfaction (factor loading =.855); and physical pleasure (factor loading =.864).
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download.file («http://data.climateaudit.org/data/tree/russ035w.rwl.tab»,» temp.rwl», mode =» wb»); load («temp.rwl»); dim (tree) # 3872 4 Fact = factor (tree $ id) levels (Fact)[1] «878011» «878012» «878021» «878022» «878031» «878041» «878042» «878051» [9] «878052» «878061» «878062» «878071» «878072» «878081» «878091» «878092» [17] «878101» «878102» «878121» «878122» «878131» «878132» «878151» «878152» [25] «878161» «878162» «878171» «878172» «878181» «878182» «878191» «878192» [33] «878201» «878202»
This enhancement of AOD is attributed to a rise in the atmospheric load of BC, nss - SO4 =, NO3, POA and SOA by factors of 3.3, 2.6, 2.7, 2.3 and 1.2, respectively, whereas we assumed that the natural dust and sea - salt sources remained constant.
* Death Sum Assured = 10 times of the Annualized Premium (excluding extra premium, GST and loading for modal factors, if any) or 105 % of all the premiums paid (excluding GST and extra premium, if any) as on the date of death of the Life Assured or Guaranteed Maturity Benefit (For 10 years premium payment term = 10 X Annualized Premium # and for 15 years premium payment term = 15 X Annualized Premium #) or Absolute amount assured to be paid on death (for 10 years premium payment term = 11 X annualized premium rounded up to next Rs. 1000 and for 15 years premium payment term = 16 X annualized premium rounded up to next Rs. 1000), whichever is the highest.
$ Death Sum Assured = 10 times the Annualised premium (where annualized Premium for the purpose of death sum assured refers to premium payable in a year excluding any extra premium, service tax and loading for modal factors, if any) or Guaranteed Maturity Benefit or Absolute amount assured to be paid on death (i.e. Basic Sum assured) or 105 % of all premiums paid (excluding any extra premium, and service tax, if any) as on date of death, whichever is higher.
The five items from the CEBQ food responsiveness subscale loaded onto a unique factor, explaining 54 % of the variance (α =.76), and so all items were retained.
Factor analysis revealed that variables loaded on one of two unique factors, i.e. the pros or cons of smoking, which were summed to form two scales of six questions each (α = 0.62 and 0.72)(Kremers et al., 2001b).
Results showed high level of Cronbach's alpha reliability coefficient α = 0.90, test retest reliability ranged from r =.73 to r =.96 (ps <.01), item total correlation varying from r =.50 to r =.74 (ps <.01) and factor loading ranged from.39 to.73.
Items loaded on to a single factor, and had good internal reliability with Cronbach alpha = 0.80.
Items loaded on to a single underlying factor, and had good internal reliability, Cronbach alpha = 0.69.
Items loaded on to one underlying factor and had good internal reliability, Cronbach alpha = 0.76.
Results of the confirmatory factor analysis: Standardized factor loadings as obtained for the six - correlated factors model for the parent (N = 2,343) and teacher version (n = 122) of the BIQ
Item factor loadings were greater than.62 and significant (see Table 5 for retained items) and Cronbach's alphas remained robust after the removal of items in the fearfulness (α =.83) and dismissive scales (α =.78); the reliability of the secure - preoccupied subscale was satisfactory in the second sample (α =.88).
Thus, we tested a CFA in which items referred to both father and mother loaded, for each dimension, on the same latent factors (χ 2 (22) = 184.36, p =.000; CFI =.96; RMSEA =.06 -LRB-.05 — .07)-RRB-.
The slope factor mean, M = 0.61, p = 0.01, and factor loadings suggested that quantity x frequency of use for drinkers increased over time with a particularly steep increase between W6 and W7.
The slope factor mean, M = 0.41, p < 0.05, suggested an increased in frequency of marijuana use over time for marijuana users, with a sharp increase between W6 and W7 as indicated by the factor loadings.
The factor loadings were λ = 0.61 for priority focus, λ = 0.53 for planning, and λ = 0.72 for monitoring.
We tested the invariance of the factor structure, factor loadings, and path coefficients between Black (n = 648) and White (n = 882) girls using a standard procedure (Motl et al., 2002).
The slope factor mean, M = 0.88, p < 0.01, and factor loadings indicated an increase in the probability of use that was particularly pronounced between W6 and W7.
One factor loading on each construct was fixed to one, and the error variance of externalizing symptoms and anxiety symptoms and HbA1C were determined by the formula: Error = VAR (Y) * (1 — reliability)(Hayduk, 1987).
Factor analysis specification was satisfactory; KMO =.75, Bartlett's Test of Sphericity = 2.55, df = 436, p =.0001, Rotation Sums of Squared Loadings = 61.25.