Question

A research group was interested if time spent in electronically simulated sport activities (in semi-virtual, or enhanced reality) would have an improvement in reaction time in certain sport skills. Volunteers were required to spend at least 40 total minutes ‘practicing’ in electronic/virtual settings, but there was no limit to how long they could spend in the simulator. Training time was collected in several visits and participants were able to play as long as they wanted in each visit.

Gender was recorded 1=female, 2=male. Life stage was collected in 4 categories: 1=young independent-pre children, 2=young families (with children, but any child younger than 10), 3=mid-age with all kids older than 10, 4=mid-latter age with all kids out of the home. For the sake of this analysis, any person not meeting these descriptors (older unmarried or no kids in the home) are not included in the data.

Reaction time is a score from a test of several sport skills and was collected prior to the simulated sport activities and again at the end of the program. Additionally, program satisfaction scores were collected after the program (collected on a 1=’not at all satisfied’ to 9=’extremely satisfied’ Likert-type scale).

It is very likely that you might have to compute or recode new variables to answer all of these questions.

Your task is to address each of the research questions below (1-10) by responding to each these discussion points (a-d)

What variables will be used, what type of measurement for each variable (nominal, ordinal, interval, ratio)?

What test should be used to answer the question? Discuss/justify with specific reasons.

CLEARLY state both null and alternative hypotheses using variable names.

Fully discuss the results with insights into what the results mean in practical application language.

RESEARCH QUESTIONS

Did males voluntarily spend more time in the simulator than women?

Does life situation/stage impact the time voluntarily spent in the simulator?

Is there a difference in program satisfaction between males and females?

Is there a difference in program satisfaction in each life stage?

Does total minutes spent in simulated practice predict if a participant improves their reaction time (yes vs. no)?

Is there an additional effect of both gender and life stage on the time spent in simulated practice?

Does program satisfaction predict the amount of time spent in simulated practice?

Is a person’s improvement score (pre score – post score) predicted by time spent in in simulated practice?

Is the difference in time spent in the simulator by life stage effected by (controlled for) program satisfaction?

Overall, is the program effective in improving reaction time?

I do not need anyone to do this for me. I am hoping someone can explain which tests i need to run on spss and why. I can do the work myself. I just need some help understanding what tests to run and why for each question.

Thanks

Answer 1

Researcher collect information from a sample of n participants copletely at random

the information should be about the gender,life stage,name of the sports activity,time spent in the sports activity,reaction time beforeand after the training and program satisfactionscore from the respodants

here gender,life stage, name of the sport activity and programme satisfaction score are qualitative characteristics and their information should be express in ordinal scale

but the time spend in a sport activity, and reaction time before and after the training are quantitative charecteristics and their information should be express in cardinal scale

After collecting the information construct the following table

Participant	Gender	Life stage	Name of the sport activity	training time	Reaction time before the activity	Reaction time after the activity

After constructing the above table calculate average training time,average reaction time before the activity,average reaction time after the activity and their standard deviations of n participants

1.small sample t test can be conduct for testing the significance of the training iprogramme,

in this test the null hypothesis is the training programme is not significant

2.to test whether male spent more time than female in training programme we can apply t test and the null hypothesis is male spent more time than female in training programme

3.to test the effect of gender and life stage on the time spend in the training also we can apply chi square test