Regression on News and Internet

Regression on News and Internet

Objective

To examine a possible linear relationship between the amount of time students spend on the internet in and outside the school during weekdays and the way the students read the news.

Hypothesis

The starting hypothesis for this paper is that the way students read news using digital devices is highly dependent on the amount of time they spent on the internet both at and outside school.

Justification

Recent years have seen a significant number of people accessing news via online platforms. Internet devices such as smartphones have changed the perception of reading news. More time spent on the internet is likely to influence the amount of time spent reading the news (Savolainen, 2008). According to Nguyen (2008), those accessing news through online platforms end up consuming faster, but shallower and less critical news. This is caused by digital gadgets causing a passive experience while reading.

Constructs and Variables

1. The amount of time spent on the internet on a typical weekday within school settings. This is an independent variable that seeks to predict how news is read over online platforms. The variable composes of sections IC005Q01TA01, IC005Q01TA02, IC005Q01TA03, IC005Q01TA04, IC005Q01TA05, IC005Q01TA06 and IC005Q01TA07 on the PISA questionnaire.
2. The amount of time a student spends on the internet on a typical weekday outside school. This is also an independent variable that seeks to explain the way news are consumed. On the PISA questionnaire, the variable consists of IC006Q01TA01, IC006Q01TA02, IC006Q01TA03, IC006Q01TA04, IC006Q01TA05, IC006Q01TA06 and IC006Q01TA07
3. The way a student reads the news. This is a dependent variable whose variation is likely to be explained by the two explanatory variables. The parts of this variable include ST169Q01HA01, ST169Q01HA02, ST169Q01HA03, ST169Q01HA04, and ST169Q01HA05.

Statistical Analysis

The statistical analysis to be carried out is a simple linear regression analysis. A linear relationship between the independent and dependent variables is to be found, and a prediction model on how the students read news is made. The general model will take the form News= Inside School + Outside school.

References

Nguyen, A. (2008). The contribution of online news attributes to its diffusion: An empirical exploration based on a proposed theoretical model for the micro-process of online news adoption/use [Electronic Version], 13. Retrieved from https://journals.uic.edu/ojs/index.php/fm/article/view/2127/1952

Savolainen, R. (2008). Everyday information practice: a social phenomenological perspective. Lanham, MD: Scarecrow Press