Results and Discussion definition
Results and Discussion. Means, variance and range for WTP estimates for the different nationalities are presented in Table 3. The WTP estimates were expressed both in the currency of the country and as a ratio of the WTP for 3 star beef, with the latter allowing comparisons between countries. Consumers in all countries valued 2 star or “unsatisfactory” eating quality samples at approximately half the value assigned to the 3 star or “good everyday” eating quality samples, although there were small differences between countries. Japanese consumers showed the greatest increase in WTP estimates for quality, with 4 and 5 star samples being valued at 1.7 and 2.9 times the WTP value assigned to 3 star product.United States consumers were next with Australian and Irish consumers showing the smallest increase in WTP estimates for quality with 4 and 5 star samples being valued 1.6 and 2.0 times the value assigned to 3 star samples, respectively. 8Table 3. Means, variance and range for willingness to pay (WTP) estimates for Australian, Japanese, the United States and Irish consumers for beef which they scored as 2 star (unsatisfactory), 3 star (everyday quality), 4 star (better than everyday) and 5 star (premium) expressed in units of their local currency and as a ratio of the 3 star value $AUD/kg Ratio of 3 star 2 star5.363.610-24 0.570.23-1 - 03 star12.114.401-34 1 4 star17.665.672-50 1.510.320 – 35 star24.047.512-50 2.100.610 – 52 star5.363.610-24 0.570.23-1 - 0 Japanese consumers (n= 1471 respondents) ¥/100gm Ratio of 3 star 2 star251154100-1800 0.480.16-0.9-03 star474241100-3500 1 4 star777396200-4500 1.690.380- 3.55 star1295742200-6000 2.861.000 – 5 United States consumers (n=1338 respondents) $US/lb Ratio of 3 star 2 star2.301.731 – 11 0.560.20-1 - 03 star5.002.341 – 15 1 MSA grade WTP in local currency WTP expressed as a ratio of 3 star Mean Stdev Range Mean Stdev Range Australian Consumers (n=2116 respondents) 4 star7.863.161 – 20 1.640.440 – 2.85 star11.094.181 – 20 2.370.800 – 4.67 Irish Consumers (n= 960 respondents) €/kg Ratio of 3 star 2 star2.821.461-12 0.490.21-1 – 03 star5.631.992-14 1 4 star7.922.202-15 1.460.310 – 2.25
Results and Discussion. Means and standard deviations for both conditions are shown in Table 3. The repeated measure two-factor ANOVA showed a significant main effect for action type, F(1,23)=8.22, p B.01, h2 =0.26; no significant effect for familiarization, F(1,23) B1; and no significant interaction between action type and knowledge F(1,23)=1.49, p =0.24, h2=0.06.The results replicated the finding from experiment 1 using stimuli that were only characterized by goal demotion, compared to the stimuli of experiment 1 that had two more features. Disturbance or lack of necessary relations between the units of an action sequence, in this case a randomized order, is sufficient to increase participants’ segmentation rate. Taking the length of the action sequences into consideration, Table 3. Means and standard deviations from experiment 2KnowledgeAction type Familiar Non-familiarFunctional M =3.17 M =3.25SD =1.25 SD =1.50Non-functional M =4.10 M =3.89SD =2.14 SD =1.99 participants used more button presses in experiment 2 than in experiment 1. This difference might originate in the slightly different procedure used to generate the non-functional actions (i.e., experts segmented on a fine-grained level instead of spontaneously).Somewhat surprisingly, we did not find a significant effect for familiarization, which suggests that the use of everyday functional action sequences did not confound the results of experiment 1. The lack of effect might, however, be a consequence of our familiarization design not managing to build stable event representations. Given the relatively short duration of the movies and their low frequency in an everyday environment, it is possible that familiarity will demand a more extended or a different kind of exposure.
Results and Discussion. Means values of responses on causes of oil spill in Rivers State are presented in table one. The grand means of responses from workers of companies A, B, C and D are 3.15, 3.24, 3.367 and 3.41 respectively. This implies a generally moderate agreement in responses irrespective of the company. Table One: Causes of Oil Spill in Rivers State ABCDItem ̅̅̅ The results in table one collaborated with [6]; who in their research indicated that the various instances of oil spill in Nigeria were ascribed to absence of customary upkeep (poor integrity) of the pipelines and capacity tanks, as a percentage of these facilities have been used for pretty a lengthy period without substitution. [6] further thought that another significant purpose behind oil spill in Nigeria was the issue of oil burglary. The Shell Petroleum Development Company of Nigeria (Shell) asserted as at 1996 that damage represented in excess of 60% of all oil spilled, of its facilities in Nigeria and recently indicated that it has increased to 95% as at 2019 (Shell, 2019). As opposed to Shell report, acquittal global put consumption as a substantial reason for spills in the Niger Delta, as they blamed the oil organizations for contemptibility in detailing the genuine motive for the widespread spills [13]. [3] affirmed that human blunders represent around 30-half of worldwide oil spill, while 20-40% of the spills are credited to gear disappointments and reduction in cycle units.The table one showed results for effectiveness of oil spill prevention strategies. Mean responses varied from 3.11 –4.50. Grand mean responses of workers of companies A, B, C and D are 4.09, 4.04, 3.73 and 3.76 respectively. Results showed moderately high responses among respondents. Table Two: Effectiveness of Oil Spill Prevention Strategies ABCD Item ̅̅̅ The individual reactions of the labourers of the IOCs and NOCs to the inquiry "how might you rate all partners' commitment towards a powerful crisis reaction?" display that the NOCs don't get enough help when contrasted with the IOCs. Notwithstanding this is the method that the NOCs don't make appropriate and sufficient spending plan/financing as a feature of their alternate course of action for compelling anticipation and crisis reaction, [8] indicated that the oil establishments working in the Niger Delta do not pay attention to generally wellbeing, security and insurance of the environment. Therefore, responses to oil spill were slow. Weak responses to spills, increases the ...
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Results and Discussion KLRHCG Produces a Diverse Ensemble of tau K18 Chains.
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Results and Discussion. Means, standard deviations and correlations for all variables for all studies are presented in Table 1. The relation between employees’ experiences of autonomy at work and CWB-O was examined through SEM using the robust maximum likelihood (MLR) estimator implemented in Mplus 7.2 (Muthén & Muthén, 2014), which is robust to non-normality. Both experiences of autonomy and CWB-O were specified as latent variables that captured the common variance across their respective items. The fit of the model was evaluated using the Chi-square statistic (χ²), the Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI), and the Root Mean Square Error of Approximation (RMSEA). Values greater than .90 and .95 for both the CFI and TLI respectively indicate adequate and excellent fit to the data, while values smaller than .06 and .08 for the RMSEA respectively suggest an excellent and acceptable model fit (Hu & Bentler, 1999).According to these guidelines, the fit of the present model was adequate, χ² (26) = 39.57, p = .04; CFI = .93; TLI= .90; RMSEA = .06. The results showed that autonomy was significantly and negatively related to employee CWB-O, β = -.22, p = .03. Thus, in line with past research (Fox et al., 2001), Study 1 supports the idea that employees’ experiences of autonomy at work is related to their CWB-O. The more employees experienced autonomy in their workplace, the less they tended to engage in CWB-O. Table 1. Means, Standard Deviations and Correlations across Variables for all Studies VariableStudy 1 Study 2 Study 3 M SDNote. Theoretical range for all scales is from 1 to 7, except for Study 3 “Deviant Behavior”, which is an observed absolute. Correlations between latent variables are presented for Studies 1 and 2. Items assessing autonomy experiences vary across studies. All correlations are significant at the p < .05 level.
Results and Discussion. Means of essential oil contents in S. officinalis L. are listed in Table 2. The results revealed a wide variation in the values of essential oil yielded from sage plant grown in different environmental locations. The variation range of oil content varied from 0.87 to 2.80%, reaching minimum and maximum values in Amman and Jeresh located in the middle and northern regions of Jordan, respectively. The results showed that the oil content in all specimens ofS. officinalis
Results and Discussion. Means and standard deviations of the observations are presented in Table 1. The frequency of the leakage was almost 9%, which was moderate compared to the frequencies in the literature (Geer et al., 1988; Steine, 1988). The frequencies of udder health treatments were much lower than the total mastitis rate in Finland, because the recording period in this study was only 150 d after calving.Heritability estimates and genetic and phenotypic correlations are given in Tables 2-5. The heritability estimates of milkability in FAY and FHF were 0.24 and 0.16, respectively, which is in very good agreement with estimates of subjectively scored milkability found in the literature (Erf et al.,1992; Lawstuen et al., 1988; Meyer and Burnside, 1987), even milkability is scored as a farmer’s impression of cow’s milking speed from the first calving to first insemination.Leakage and clinical mastitis are measured on farms as an all- or none trait on farms. The heritability estimate of leakage for both breeds was0.08. Clinical mastitis had lowest heritability estimates of the udder healt traits which varying between 0.01 - 0.02 in different analyses. The results agreed well with literature values (Pösö and Mäntysaari, 1996; Emanuelson et al., 1988). SCS had heritability estimates between 0.14 - 0.23. FHF had higher estimates for heritability of SCS than FAY.The estimated repeatability of clinical mastitis in FAY was hardly greater than estimated heritability. FHF had repeatability estimates of clinical mastitis about 0.2. The estimated repeatability of SCS was about 0.43 in both breeds.The phenotypic correlations among traits were low. The estimated genetic correlations between milkability and leakage were high: in both breeds, namely 0.65 in FAY and 0.89 in FHF. This means that selecting for bulls and cows with faster milking speed will increase the frequency of milk leaking cows.The subjectively scored milkability and leakage were not genetically correlated with milk production. The estimated genetic correlation between udder health traits and milkability and leakage did not show the same trend. The faster milking and leaking cows had greater SCS and less clinical mastitis, which agreed well with the correlations found by Lund et al. (1994).
Results and Discussion. The results from the present study reveals, when frequency of occurrence of verbal perseveration errors across groups were compared there was a significant Key Words: Subcortical aphasia, Perseverative errors.