3003PSY-Frequency of Technology Use Report Writing – Statistics Assignment Help

Assignment Task

Task

Investigation of the relationships between attitudes toward technology, individual differences and frequency of technology use.

Context for the research:

Society utilizes technology in almost all aspects of living including social interactions, medicine, education and vocation. Engaging with technology has almost become a requirement of daily living. Given how pervasive technology has become, individuals that are reluctant to engage with technology, or avoid technology may be subject to a host of negative outcomes. For example, individuals who refuse to utilize technology may experience greater social isolation and loneliness as they are unable to engage with friends, peers and colleagues via technology-mediated communications (e.g., phone calls, text messaging). Additionally, individuals who avoid technology may experience difficulty in their education and workplace given that communication between students, and between colleagues is heavily mediated by technology. Finally, the avoidance of technology may be related to adverse mental and physical health outcomes, particularly given the recent increase in telehealth and internet-delivered psychotherapies and medical interventions.

Some researchers have become keenly interested in the factors associated with attitudes toward technology. Their primary motivations have been to identify these factors so that they may develop educational materials targeted at fostering more positive attitudes toward technology. Technology in this instance refers to devices such as computers (e.g., PC or Mac), smartphones (e.g., iPhone, Android phones), tablets (e.g., iPad, Kindle) and other electronics including Smart TVs. Technology also refers to software and/or apps, for example, Microsoft Word, Safari, Google Chrome, and Instagram.

Much of the current literature looking at attitudes toward technology is characterized by a reliance on correlational studies. Research has found attitudes toward technology to be associated with gender, age, technology use and personality. For example, there is evidence that age is negatively correlated with technology use and attitudes toward technology (CruzCárdenas et al., 2019). This relationship suggests that older individuals engage with technology to a lesser degree and have more negative attitudes toward technology. There is also research to suggest that negative attitudes toward technology are more common in women (Reich-Stiebert, & Eyssel, 2015). From a behavioural perspective, the frequency with which individuals engage with technology has also been shown to be an important correlate with attitudes toward technology (Nimrod, 2018). Research suggests that Individuals who frequently engage with technology tend to have more positive attitudes toward technology.

With respect to specific personality differences, there is research demonstrating that the personality factor openness to experience from the Five Factor model of personality is correlated with attitudes toward technology. Individuals high in openness tend to have active imaginations, have a preference for variety, are intellectually curious and seek novel experiences. The correlation between Openness to Experience and attitudes toward technology has been positive (Anthony et al. 2000). That is to say, individuals high in openness to experience tend to have more positive attitudes toward technology. Another aspect of personality associated with attitudes toward technology is Technology Self-Efficacy (TSE). TSE is the belief in one’s ability to perform novel technologically complex tasks successfully. Research suggests that individuals with high TSE typically hold more positive attitudes toward technology and tend to engage with technology more than individuals with low TSE.

The current study:

While the existing literature has begun to identify individual factors correlated with attitudes toward technology, no research exists testing a larger model, where these factors are brought together to examine differences in attitudes toward technology. By examining these factors together in their association with attitudes toward technology, we will gain a better understanding of the unique and shared associations between each factor and the outcome variable. To that end, a researcher has run a study collecting data from a sample of adults in the community and asked them to complete an online survey. The survey comprised a number of questions, and as is clear in the coding book (attached to this .pdf) and the associated data file, not all variables are of interest to the immediate research question.

You will need to:

– Identify the relevant variables in the data set required to answer your research question

– Recode the variables into a meaningful format to use in your selected analysis

– Compute the relevant scale scores to use in your selected analysis

– Compute relevant dummy coded variables

– Conduct logic checks on data to identify the presence of data entry errors

Answer the following questions: 

1. What are the constructs of interest in the RQ?

2. How are each construct operationalised?

3. Based on the information provided on page 1 state the hypothesised associations ?

4. What are the internal reliabilities (Cronbach alphas) of the scale scores? 

5. Do the scales have acceptable reliability? 

6. Write a brief statement describing each of the measures used

7. Report the following information in the appropriate table: 

8. Perform the appropriate checks of the relevant assumptions and address the following

a) Report on the distribution of the residuals

b) Are there any univariate outliers 

c) Check for multivariate outliers 

9. Are any of the scales considered significantly skewed?

10. Write a paragraph outlining your testing of assumptions and how you addressed any violations.

11. Perform the appropriate analysis to answer the RQ and answer the following: 

12. Report the results from your analysis

13. What were the variances explained?

14. Make a conclusion of your results.

This 3003PSY-Statistics Assignment has been solved by our Statistics Expert at TV Assignment Help. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing Style. Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turn tin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.