Data evaluation gender 1 questionnaire in attachment

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Data evaluation: Gender : 1 Questionnaire in attachment 4
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Age : 4
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Profession : Results and findings: Descriptive: The descriptive analysis of our research are: 4
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Descriptive Statistics N Minimum Maximum Mean Std. Deviation Where do you get information 100 1 3 1.55 .609 Advertisement is a source of 100 1 2 1.62 .488 Advertisement influence your opinion 100 1 5 1.72 .570 Information affects opinion 100 1 2 1.48 .502 Language affects your opinion 100 1 2 1.37 .485 Intensity affects your opinion 100 1 2 1.50 .503 Social issues affects opinion 100 1 2 1.83 .378 Advertisement increase sales 100 1 2 1.76 .429 Advertisement can influence buying behavior 100 1 5 3.59 .805 Advertisement always influence buying behavior 100 2 4 3.34 .728 Negative demand 100 2 5 2.76 .889 Customers of other brands 100 1 5 3.88 1.233 Core benefit or Augmented benefit 100 2 5 4.03 .731 Communicating value 100 1 5 3.97 .858 Potential future benefits 100 2 5 3.81 .662 Advertising perquisites 100 2 5 3.92 .761 Benefits encourage brand switching 100 1 5 4.03 1.210 True facts and figures 100 1 5 4.21 1.200 Creativity 100 1 5 3.85 1.366 Creativity donot retain cutomers 100 2 4 2.95 .770 Creative advertisement 100 1 5 3.58 .955 Level of information 100 1 5 3.75 1.473 Social responsibilities 100 1 5 3.85 1.417 According to values of society 100 1 5 3.70 1.636 Influence sales of the product 100 1 5 3.55 1.226 Advertisement through print 100 1 5 3.60 1.518 4
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Interpretation : Valid N (list wise) - This is the number of non-missing values. N - This is the number of valid observations for the variable. The total number of observations is the sum of N and the number of missing values. Minimum - This is the minimum, or smallest, value of the variable. Maximum - This is the maximum, or largest, value of the variable. Mean - This is the arithmetic mean across the observations. It is the most widely used measure of central tendency. It is commonly called the average. The mean is sensitive to extremely large or small values. Std . - Standard deviation is the square root of the variance. It measures the spread of a set of observations. The larger the standard deviation is, the more spread out the observations are. Reliability: The result of reliability test using SPSS are: Reliability Statistics Cronbach's Alpha N of Items .724 30 Interpretation: The alpha coefficient for the thirty items is .724, suggesting that the items have relatively high internal consistency. Correlation: 4
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Correlations CB PR TR CR LI CSR AD CB Pearson Correlation 1 .260 ** .247 * .385 ** .239 * .299 ** .438 ** Sig. (2-tailed) .009 .013 .000 .017 .002 .000 N 100 100 100 100 100 100 100 PR Pearson Correlation .260 ** 1 .383 ** .425 ** .192 .498 ** .253 * Sig. (2-tailed) .009 .000 .000 .056 .000 .011 N 100 100 100 100 100 100 100 TR Pearson Correlation .247 * .383 ** 1 .679 ** .323 ** .522 ** .125 Sig. (2-tailed) .013 .000 .000 .001 .000 .216 N 100 100 100 100 100 100 100 CR Pearson Correlation .385 ** .425 ** .679 ** 1 .319 ** .556 ** .195 Sig. (2-tailed) .000 .000 .000 .001 .000 .052 N 100 100 100 100 100 100 100 LI Pearson Correlation .239 * .192 .323 ** .319 ** 1 .477 ** .111 Sig. (2-tailed) .017 .056 .001 .001 .000 .272 N 100 100 100 100 100 100 100 CSR Pearson Correlation .299 ** .498 ** .522 ** .556 ** .477 ** 1 .156 Sig. (2-tailed) .002 .000 .000 .000 .000 .121 N 100 100 100 100 100 100 100 AD Pearson Correlation .438 ** .253 * .125 .195 .111 .156 1 Sig. (2-tailed) .000 .011 .216 .052 .272 .121 N 100 100 100 100 100 100 100 **. Correlation is significant at the 0.01 level (2-tailed).
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