Research on Laptop buying
Content
A study on Student’s Buying Behaviour towards
laptops
Research Objective
Primary objective: A study on Student’s Buying Behaviour towards laptops.
Secondary objective:
To know the preference of consumers while purchasing of laptops.
To know the perception of consumers towards laptops.
To study the buying pattern of consumers while purchasing of laptops.
Scope of the study
This study is limited to a 100 respondent’s due to time constraints
Research Design
The research design is Descriptive studies. Descriptive studies are well
structured, they tend to be rigid and its approach cannot be changed every now
and then. Descriptive studies are undertaken in many circumstances.
When the researcher is interested in knowing the characteristics of certain
groups such as age, profession.
When the researcher is interested in knowing the proportion of people in
given population who have behaved in a particular manner, making
projection of certain things.
Data collection
Primary data collected: Online Questionnaires
Research instruments: Questionnaire
Sample design
Sample size: 100
Sampling type: For this purpose of research Convenient/ non probability
sampling approach has been used. Non probability sampling is arbitrary
and subjective
Limitations
Due to time constraints it is not possible to cover vast area. So that survey
has limited to a 100 respondents
This being a online questionnaire there was no personal presence
Data Analysis and Interpretation
The data was divided into 3 clusters after doing cluster analysis.
Cluster 1 included 54 respondents, cluster 2 had 34 respondents and cluster 3
had 9 respondents
Under annova analysis, the clusters were insignificant for all the benefit
statements
A post hoc analysis was also done, where multiple comparisons were done,
taking the cluster as the comparing factor. it was seen that for most of the
benefits d comparisons were insignificant except for the following;
1) Connectivity and mobility features- Bluetooth: Cluster 2 & 3 were
significant
2) Peripheral specifications, DVD & CD player: Cluster 2 & 3 were significant
Next, a One-way Annova was done. Here, all 3 clusters had a common trend for
all the benefit statements. Cluster 1 had the highest expectation for all the
benefit statements, followed by Cluster 2 & Cluster 3.
Lastly, a one-way annova was done to compare gender, budget and buying
decisions.
Gender: Here, it was noticed that Cluster 1 had more of females than males (i.e.
M=17 & F=37). Cluster 2 had more of males and less of females (i.e. M=23 &
F=11). Cluster 3 again had more males and less females (i.e. M=7 & F=2)
For the Age factor, a post hoc analysis was done. It was seen that all the clusters
were significant with each other.
A post hoc analysis was also done for the budget factor and it was seen that it
was significant for cluster 2 &3.
A post hoc analysis was done to see the choice of brands where it was significant
for 3 clusters.
A post hoc analysis was done to see the buying decision influencers where in all
3 clusters were significant with each other.
laptops
Research Objective
Primary objective: A study on Student’s Buying Behaviour towards laptops.
Secondary objective:
To know the preference of consumers while purchasing of laptops.
To know the perception of consumers towards laptops.
To study the buying pattern of consumers while purchasing of laptops.
Scope of the study
This study is limited to a 100 respondent’s due to time constraints
Research Design
The research design is Descriptive studies. Descriptive studies are well
structured, they tend to be rigid and its approach cannot be changed every now
and then. Descriptive studies are undertaken in many circumstances.
When the researcher is interested in knowing the characteristics of certain
groups such as age, profession.
When the researcher is interested in knowing the proportion of people in
given population who have behaved in a particular manner, making
projection of certain things.
Data collection
Primary data collected: Online Questionnaires
Research instruments: Questionnaire
Sample design
Sample size: 100
Sampling type: For this purpose of research Convenient/ non probability
sampling approach has been used. Non probability sampling is arbitrary
and subjective
Limitations
Due to time constraints it is not possible to cover vast area. So that survey
has limited to a 100 respondents
This being a online questionnaire there was no personal presence
Data Analysis and Interpretation
The data was divided into 3 clusters after doing cluster analysis.
Cluster 1 included 54 respondents, cluster 2 had 34 respondents and cluster 3
had 9 respondents
Under annova analysis, the clusters were insignificant for all the benefit
statements
A post hoc analysis was also done, where multiple comparisons were done,
taking the cluster as the comparing factor. it was seen that for most of the
benefits d comparisons were insignificant except for the following;
1) Connectivity and mobility features- Bluetooth: Cluster 2 & 3 were
significant
2) Peripheral specifications, DVD & CD player: Cluster 2 & 3 were significant
Next, a One-way Annova was done. Here, all 3 clusters had a common trend for
all the benefit statements. Cluster 1 had the highest expectation for all the
benefit statements, followed by Cluster 2 & Cluster 3.
Lastly, a one-way annova was done to compare gender, budget and buying
decisions.
Gender: Here, it was noticed that Cluster 1 had more of females than males (i.e.
M=17 & F=37). Cluster 2 had more of males and less of females (i.e. M=23 &
F=11). Cluster 3 again had more males and less females (i.e. M=7 & F=2)
For the Age factor, a post hoc analysis was done. It was seen that all the clusters
were significant with each other.
A post hoc analysis was also done for the budget factor and it was seen that it
was significant for cluster 2 &3.
A post hoc analysis was done to see the choice of brands where it was significant
for 3 clusters.
A post hoc analysis was done to see the buying decision influencers where in all
3 clusters were significant with each other.
