SRM Classwork Solutions Till Reliability Coefficient

8/12/2019 SRM Classwork Solutions Till Reliability Coefficient

1/27

Questions:

Session 13/01/14:

1. Construct a frequency table separately for each of the HS items.2. Find out the mean health food involvement score for the entire student sample.3. Find out the mean health food involvement score for the male and female students.4. What is the average innovativeness score for the entire sample; is the average innovativeness

score for female students>the male counterparts.

5. Do you find any relation between health food involvement and shopping behavior for probioticice-cream?

Session 14/01/14:

1. Find out the strength of relation between consumer innovativeness and probiotic ice creampurchase intention.

2. Is the price conscious mean score different for male and female students?3. Find out the strength of the relation between consumer innovativeness and probiotic ice cream

purchase intention after controlling for price consciousness.

4. Is the correlation between ice cream involvement and probiotic ice cream purchase intentiongreater for male students for whom price consciousness is at least the median value?

5. What is strength of association between gender and self-reported health status?

Session 21/01/14

1. Find out the strength of correlation between health food involvement and ice creaminvolvement for consumers whose score on probiotic ice cream involvement isa. below median

b. median and above

2. Find out the correlation between health food involvement and ice cream involvement forconsumers whose

a. whose HFI is below median

b. whose HFI is above median

3. Find out the correlation coefficient between median price consciousness and above medianprice consciousness category of respondents on their health consciousness total.

4. Construct a contingency table between probiotic ice cream purchase intention and gender.Median can be used for classifying PBIPI categorization. Do you find a significant association

between the 2 variables? If so, find out the magnitude of such association.

Session 24/01/14

1. Do you find any significant difference in perceived health claims made in the product levelbetween male and female students?


2/27

2. Is the general skepticism mean score different for respondents who have stated their intentionto buy a probiotic ice cream and those who have not?

Session 27/01/14

1. Find out the reliability coefficient fora.

General skepticismb. Health claim skepticism

c. Price consciousnessd. Healthy lifestylee. Probiotic ice cream purchase intention

2. Find out the impact of the following on PBPI.a. General skepticismb. Health claim skepticismc. HCS, Healthy Lifestyle, Consumer Doubt over New Product.


3/27

Solutions:

Session 13/01/14:

1. PFB

HS are the items to select. Right click to display variable names!!


4/27

Kurtosis: How close to the central point are the data points located. How concentrated.

Skewness: How much it leans toward a particular direction.

Select all the measures that are asked for.


5/27

Select all required charts:

And Voila!!

Bar charts:

Output2.spv

Histogram with normal curve:

Output3.spv

2. Health Food Involvement:Transform->Compute Variable:


6/27


7/27

And the output

Output5.spv


8/27

3. Split the file by gender

Now proceed as in the previous question:


9/27

And voila!!! Males and Females separated.

Output7.spv

4. Skipped.5. Relation is asked, hence, use correlation.

Shopping Behavior for Probiotic Ice cream

SBPIC

Turn off split file with RESET!


10/27


11/27

The output

Output10.spv

Data is significant as

99% range

95% range 90% range

Hence, H0 can be rejected.

If data is not significant, still we cant accept Null Hypothesis.

Here, we cant analyze as the data is not significant based on the Sig. (2 tailed)


12/27

Session 14/01/14:

1.

2. Reverse coding example


13/27


14/27


15/27

Reverse code as above for PC2, 4, 5, 6 and create PC_Total


16/27


17/27

Output for 0 order correlation checked will give the impact of the controlling variable in the output

Output16.spv

0 order correlation not checked

Upper part is the Bivariate correlation without any correlation. Lower part shows the impact of

controlling variable

Output17.spv

4.


18/27

Press If


19/27

Click Ok for filtering to happen.


20/27


21/27

Output18.spv

5. Cross tabs.

Metric vs Non metric: Cross tabMetric vs metric: Correlation

Reset.


22/27


23/27

Ok!

Output19.spv

Phi and Cramers V has to be in the range 0.6 and 0.8 for strong association. 0.8+ is very strong. Less

than 0.4 is low. 0.4 to 0.6 is moderate. 1is singularity.


24/27

Session 21/01/14:

1.


25/27


26/27

Voila!!!


27/27

Output22.spv

Documents

SRM Classwork Solutions Till Reliability Coefficient