 # Reliability Statistics: Cronbach's Alpha N Of Items?

Decent Essays
4.0 Analysis & Discussion
4.1 Reliability & Validity:

Case Processing Summary N %
Cases Valid 18 94.7 Excluded 1 5.3 Total 19 100.0
a. List wise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach 's Alpha N of Items
.887 34

The questionnaire was adapted from previously done research work of Pappu et al. (2011), therefore, the questionnaire was considered rational and valid. The reliability of the questionnaire was checked by conducting a pilot test. The Cronbach alpha of 0.887 that is greater than 0.6, proposed that the questionnaire is significantly reliable.
4.2 Demographics:

Gender Frequency Percent Valid Percent Cumulative Percent
Valid Female 145 37.8 37.8 37.8 Male 239 62.2 62.2 100.0 Total 384 100.0 100.0
Predictors: (Constant), Trustworthiness, Attractiveness, Popularity, Expertise
b. Dependent Variable: Brand Credibility

The significance value of Anova in the above mentioned table is 0.00 that is less than 0.05 indicating that the model is strong and meaningful.

F-Value
As the F-Value is 74.373, it represents that regression line is substantially predicting the brand credibility

Model Summary

Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .663a .440 .434 .48881
a. Predictors: (Constant), Trustworthiness, Attractiveness, Popularity, Expertise

The adjusted R2 is 43.4%, signifying that in the presence of all four independent variables the brand credibility will be affected by around 43% and remaining 57% missing impact belongs to the constructs that are still to be included and tested in the model.

H6:
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta
1 (Constant) 1.218 .158 7.716 .000 Popularity .100 .030 .151 3.313 .001 Attractiveness -.029 .038 -.035 -.766 .444 Expertise .512 .046 .535 11.098 .000 Trustworthiness .114 .040 .125 2.832 .005
a. Dependent Variable: Brand
The F-Value of 74.373 is representing that the model is significant and the four independent variables ie. Attractiveness, popularity, trustworthiness and expertise are causing 43.4% variation in brand credibility and the residual 57% impact is missing, which shows there is a need to test other variables that are not established in the model and can be tested in future researches.
As the value of significance for Attractiveness is 0.44 that is greater than 0.05 specifies that the attractiveness has no significant effect on brand credibility. Therefore, attractiveness will not be a part of regression line.
The value of significance for popularity is 0.001 that is less than 0.05 representing a major impact on brand credibility, the un-standardized beta shows that 1% increase in popularity of endorser will create 10% variation in brand credibility.
The value of significance for trustworthiness is 0.005 that is less than 0.05 signifying a considerable impact of trustworthiness of an endorser on brand credibility, therefore the brands intending to increase their brand credibility need to hire trustworthy endorsers, 1% increase in trustworthiness creates 11.4% variation in brand

## Related Documents

• Great Essays

As seen from the table 4.7 above the P value of Brand Loyalty is ***, maeans the probability of getting a critical ratio as large as 4.249 in absolute value is less than 0.001. In other words, the regression weight for Brand Loyalty towards Purchasing Decision is significantly different from zero at the 0.001 level (two-tailed). Thus the hypothesis of Brand Loyalty towards Purchase Decision is significant and supported by the data. The other significance of the data can be shown from table 4.7, which is Perceived Quality. The probability of getting a critical ratio as large as 2.961 in absolute value is less than 0.003.…

• 1896 Words
• 8 Pages
Great Essays
• Improved Essays

Scatter Diagram In Figure 1, the straight line fits through the data plotted below showing that a positive linear relationship exists. The small scatter around the line shows the strong linear correlation as well as positive slope. Figure 1: Scatter diagram showing strong positive linear relationship 3. The estimated linear equation is Yi = b0 + b1X1 + e1, where Y is the estimated dependent value for the observation, X is the estimated independent variable for the observation, e is the random error, B0 is the estimate of the regression intercept and B1 the estimate of the regression slope coefficient. Therefore: GR = B0 + B1Rr1 + e1 4.…

• 1040 Words
• 5 Pages
Improved Essays
• Improved Essays

Repeated Measures Analysis of Variance (RM-ANOVA) was conducted to compare the reaction time of visual and acoustic conditions (previously shown in study phase) with new brands (not presented before)(Graph 1). Mauchly’s test showed that the assumption of sphericity had not been violated, χ2 (2) = 0.68, p = .711. Degrees of freedom were corrected using Greenhouse-Geisser estimates of sphericity ( = .98). There was a significant effect of modality type, F (2, 60) = 20.09, p < .001. Bonferroni Post-hoc tests displayed significant effect for visual versus acoustic; the visual brands were faster than acoustic (p < .001).…

• 1822 Words
• 8 Pages
Improved Essays
• Superior Essays

This indicates that the means do not equal zero. A mean of differences was found to be 24.3216, with a 95 percent confidence interval from 1.7277 to 46.9155. The third t-test conducted was between the valid and neutral conditions, which was found significant [t(102)=4.9969, p<0.001]. A mean difference of 32.8711 was recorded, along with a 95 percent confidence interval between 19.8232 to…

• 1065 Words
• 5 Pages
Superior Essays
• Great Essays

Results To assay whether the MLPA is able to accurately detect TS cases, we first analyzed a cohort of known mosaic TS patients (“pilot TS group”). Using this group, the ratio able to detect all the mosaicisms and X structural abnormalities was 0.76 at least in one probe (table 1). This ratio permitted to identify also the lowest grade of mosaicism (15%) (mos 45,X/46,XX) among the patients of the pilot TS group. Interestingly, in this population, the MLPA detected Y material presence in two patients (table 1). Applying this 0.76 cut-off in the “TS group”, MLPA did not miss any X aneuploidies or X structural abnormalities represented by X monosomy, mosaicisms 45 X0/46 XX and 45 X0/47 XXX, isochromosome X and deletion of X chromosome.…

• 1360 Words
• 6 Pages
Great Essays
• Improved Essays

The linear regression analysis data for the calibration plots of Cilnidipine and Chlorthalidone showed good linear relationship with r2 = 0.991 for CILN and r2 =0.997 for CHLO , with respect to peak area in the concentration range 800-2400 and 1000-3000 ng per spot, respectively. The method was validated for precision and recovery. The limits of detection and quantitation for Cilnidipine were 17.18 and 52.06 respectively and for Chlorthalidone, were 48.33 and 146.4 respectively. The precision (intra-day, inter-day) of method were found within limits (RSD <2%). Thus the proposed method was simple, precise, economic, rapid and accurate and can be successfully applied for simultaneous estimation…

• 755 Words
• 4 Pages
Improved Essays
• Improved Essays

## TRU3

• 2482 Words
• 10 Pages

The standard deviation of TRU1, TRU2 and TRU4 are in the interval of 0.809 and 0.843 which demonstrates that respondents have similar perception about the items. However, standard deviation of TRU3 is rather high with 1.019 which reflects that the respondents’ opinions…

• 2482 Words
• 10 Pages
Improved Essays
• Decent Essays

In week 1, the T-value (df=95) is 1.848. This generates a p-value of 0.068, which exceeds Fisher’s threshold and therefore null-hypothesis is hold. There is no significant difference in sales performance when compare males (mean=4232.34) to females (mean=5227.86). In week 2, the T-value (df=95) is 2.828 and the p-value derived is 0.006. Here, the possibility that the difference is due to mere random chance is less than 1% therefore the difference in sales performance between males (mean=4175.92) and females (mean=5675.97) in week 2 is strongly significant.…

• 997 Words
• 4 Pages
Decent Essays
• Improved Essays

the value of R2 is the indicator for the successful of the process. Whereas, R2 values are close to 1, high value, the best adsorption process[20,21]. The Pseudo first order is given in equation:. ......................................................................................(7) Where qe CV or MB amount that adsorbed onto unit weight of adsorbent at equilibrium (mg/gm). qt CV or MB amount that adsorbed onto unit weight of adsorbent at any time t (mg/g) K1 is the rate constant for pseudo-first-order model (L/min).…

• 1209 Words
• 5 Pages
Improved Essays
• Improved Essays

Results Since the normal distribution of variables in the regression, is the most important default, before examining hypotheses, using non-parametric test Kolmogorov - Smirnov, was investigated assuming normal distribution of data related to each of the variables. In all tests performed in this study,…

• 781 Words
• 4 Pages
Improved Essays