Attitudes Towards Social Networking Social

Attitudes Towards Social Networking Social networking has increasingly become a common means of communication in today's society. This has greatly increased due to the advancement in technology. There are various social networking sites that have come up that enable people to communicate and stay connected between friends and family. Different people have different attitudes toward these social networking sites. My team therefore decided to conduct a study on the attitudes that people have towards social networking.

The way social networking is viewed as a mode of communication was the main attitudinal object of the study. To ensure that the attitudinal object could be thoroughly investigated there were various categories that my team decided to tap. These categories include the type of social networking site that are used i.e. facebook, twitter, Google or Instagram, how often this social networking sites are accessed and if they are accessed while one is doing something else.

Another category is the probability of finding someone in a social networking site at a particular time. There was also the category of the probability of customizing the settings of the social networking sites so as to enhance privacy. Another category is if people view social networking sites as a place they can display their private lives. The final category was whether the friends in social networking sites are genuine and if people can really make real friends through these social networking sites.

We focused on these dimensions since this are the key reasons that make people develop attitudes toward social networking sites such us how this sites affect our day-to-day activities when we are at work, in school, or driving. The privacy of these sites when it comes to personal information and finally if truly there can be genuine friendships made from these social networking sites.

The attitudinal measures that we expected to correlate with the predictor variable are such as the need for privacy in these social networking sites, as might be predicted many people value their privacy and would also be reluctant to post personal information on social sites. Another predictor variable that would correlate with attitudinal measures is how people add their friends on these social networks. This is likely to be done carefully while considering if the people that are added are known to the people or not.

Our predictor variables and the dimensions of the attitudinal objects were defined in terms of how they are relevant in terms of social networking sites. This means that the predictor variables are what we went with to collect data making assumptions the attitudes that people who use the social networking sites have towards this sites.

The final list of the questions that appear on the questionnaire was decided upon considering various factors such as; the number of social sites that are often used, the frequency of using this sites, the need for privacy for those who access this sites and the criteria that people can use to make friends that they connect with in this sites. All this factors were considered in making the final list of questions since this are the major issues that revolve around this sites.

The privacy of those who access the sites is paramount that is why most of the questions were to be based on privacy. The data was collected through distributing the questionnaires that were previously prepared and some were given to our class mates. The questionnaires were also given to our lectures that drive personal cars. Another batch of the questionnaires was distributed to working areas like offices within the school, and finally we gave some of the questionnaires to our friends who we do not school with.

The filed in questionnaires then provided the information that we compiled into the report after thorough analysis of the data. There was a great internal consistency between the attitudinal dimensions and the attitudinal measure as a whole. This means that the data that we collected was reliable and can be used as a true representation of a greater population. The predictor variables and the attitudinal dimensions showed great correlation in most of the dimensions that were looked at.

They can therefore be used to make conclusions of the measure as a whole. We concluded that the most commonly visited social network site was facebook. The frequency of accessing social network sites in class was low; it was least among drivers and a considerable number while in the office. The probability of visiting a social network site was found to be high. The likelihood of customizing settings in social sites into private was found to be high and putting up persona; information was also found to be rare. It.