Question.4632 - Module 4 SPSS Assignment InstructionsOverviewBegin by opening SPSS via the CUNY Server Next, start following the instructions shown in the SPSS In Focus Videos 4.11 Stats Screencast 4.11 with video 2.12 Stats Screencast 2.12 as a reminder. These tutorials show you the basic mechanics of how to request the descriptive statistics and histograms. Now we need to start moving beyond just getting familiar with SPSS and how to generate output in the viewer window. The next steps are to start applying these general steps to new data, explain what you are doing and why, and start interpreting the output.What questions can you ask given what you've learned through these first four units? Find out below.Analyzing 2 dependent variables using descriptive statistics and histogramsIn this scenario we will be using fake data modeled after variables found in a real Lancet journal study on movement and cognition in U.S. children. That study looked at thousands of children, but our data sets will just use 30 values each. One of the variables will be about data that is NOT normally distributed and one which has approximately normally distributed data. You will have to decide which is which and then choose the right descriptive statistics to properly describe the data and draw conclusions. Here are two reminders before we get back to the instructions.Fortunately for you, the required descriptive statistics are always the same whether you are looking to verify if data is or is not normally distributed. Make sure to get used to the steps we do here, because these are the standard steps you would use with all data which is measured on an interval or ratio scale. Our analyses here would be different if we were using nominal data like gender or ordinal data like rankings. Keep that in mind too - the choice of analysis must match the scale of measurement! A big push in our class is to help you avoid performing "blind calculation" and reporting nonsense results.Part 1: Data EntryHere you will practice a) entering data and defining variables using both the data tab and the variables tab and b) Checking for data entry errors, the data is listed in the text below, rather than being provided to you as a ready made SPSS data file.Your work will be to enter the values, create the descriptive statistics and histograms, and then explain what you see in each data set by interpreting as much of the output as you can.The first variable is the number of days per week children were active for at least 60 minutes. Here is the data7,4,7,3,5,3,5,4,6,2,3,1,4,2,4,4,5,4,0,3,4,5,6,4,3,6,1,2,4,5Enter this into SPSS in column 1In SPSS, call this "Exercise" - what are the other values you would set up for this variable in the "variables tab"?The second variable is the number of hours of screen time per day in a representative week. That data is:8,0,8,1,2,1,2,2,3,2,3,2,3,3,3,1,4,3,4,4,0,5,5,6,7,6,8,8,9,19Enter this into SPSS in column 2In SPSS, call this "ScreenTime" - what are the other values you would set up for this variable in the "variables tab"?Now that you've entered the data, check to make sure you have 30 values for each.Part 2: Data Analysis - Descriptive StatisticsFollow the steps below to analyze your data:To begin your analyses, start with the first variable and choose the descriptive statistics you think will best describe the data. Go to the "Analyze" menu, choose "Frequencies"What measures of the center will you use/request from SPSS?What measures of the spread (deviation, variability) will you use?Make sure to choose "skewness" and "kurtosis". Then view this resource Make sure to choose "histograms" and check the box for "show normal curve on histogram"Generate that output in SPSS and save the file with a memorable nameATTACH your SPSS Viewer file AND SPSS Data file with your main post, using the "paperclip" attach function.Interpretation and DiscussionNow that you've completed the data analysis, it is time to list your results in the discussion and explain what you found. In your reply, please explain What descriptive statistics did you choose for variable 1 (Exercise) and what were the values? Explain the results of the measures of central tendencyExplain the results of the measures of dispersionWhat are the skewness and kurtosis values for that variable and how do we interpret those values?What does the histogram of variable 1 data show? Is it approximately normally distributed and how would you know?What descriptive statistics did you choose for variable 2 (Screen time) and what were the values? Explain the results of the measures of central tendencyExplain the results of the measures of dispersionWhat are the skewness and kurtosis values for that variable and how do we interpret those values?What does the histogram of variable 2 (ScreenTime) data show? Is it approximately normally distributed and how would you know?What is potentially wrong with that data? Remember that screen time represents hours of screen time per day. What might you propose as a "fix" to that data? Last, please write a brief comment on what you learned, how the ideas from across chapters are or aren't coming together, and what additional questions you have.This discussion is worth 10 points. Main posts should be at least 300 words and replies to classmates should be at least 100 words. Please post at least 1 reply to classmates. Help each other out as much as possible.
Answer Below:
The xxxxx variable xxxxxxxx represents xxx number xx days xxx week x person xxxxxxx in xxxxxxxx activity xxx measure xx central xxxxxxxx mean xxxxxx and xxxx are xxx respectively xxx standard xxxxxxxxx is xxxxx means xxxx most xxxxxxxxx are xxxxxx about xxxx from xxx average xxx range xx indicating xxxx some xxxxxx reported xxxxxxxxxx every xxx while xxxxxx reported xxx exercising xx all xxx skewness xx - xxxxx means xxx data xx slightly xxxxxx to xxx left xxx kurtosis xx - xxxxxxx the xxxxx of xxx data xx fairly xxxx and xxx overly xxxxxx The xxxxxxxxx for xxxxxxxx likely xxxxx a xxxxxxxxxxx curve xxxxxxx the xxxxxxxxxxxx is xxxxxx normal xxxxx the xxxxxxxx and xxxxxxxx values xxx both xxxxx to xxxx we xxx conclude xxxx the xxxx does xxx have xxxxxxx outliers xxx second xxxxxxxx is xxxxxx time xx represents xxx number xx hours xxxxx daily xx electronic xxxxxxx The xxxx is xxxxxx is xxx mode xx The xxxxxxxx deviation xxxx is xxxxx is xxxx larger xxxxxxx that xxxxxx time xxxxxx widely xxxxx individuals xxx range xxxxx is xxxxxxxxxxxx concerning xx it xxxxxxxx some xxxxxx reported xxxxxxxx nearly xx entire xxx on xxxxxxx which xx unlikely xx be xxxxxxxx The xxxxxxxx is xxxxx is x strong xxxxxxxx skew xxxxxxx that xxxx people xxxxxxxx lower xxxxxx time xxx a xxx had xxxxxxxxx high xxxxxx The xxxxxxxx is xxxxxxxxxx that xxx data xx highly xxxxxx meaning xxxx most xxxxxx fall xxxx a xxxxxx range xx screen xxxx but xxxx extreme xxxxxx create x long xxxx The xxxxxxxxx for xxxxxx Time xxxxx a xxxxxxxxxxxx distribution xxxxxxx that xxx tail xxxxxxx to xxx right xxxxxx higher xxxxxx This xxxxxxxx that xxxxx most xxxxxx reported xxxxx screen xxxx a xxx individuals xxxxxxxx very xxxx screen xxxx creating x long xxxx on xxx right xxxx One xxxxx with xxxx data xx the xxxxxxxxxxxxxxx high xxxxxx time xxxxxx A xxxxxx time xx hours xxx day xx unlikely xx it xxxxx leave xxxx hours xxx sleep xxxxxx and xxxxx activities x could xxx this xxxxx by xxxxxxxx extreme xxxxxxxx such xx values xxxxx hours xxx day xxxxx may xxx be xxxxxxxxx and xxxx the xxxx more xxxxxxxx This xxxxxxxx shows xxx important xxxxxxxxxxx statistics xxx for xxxxxxxxxxxxx data xxx exercise xxxx appears xxxxxx and xxxxxxxxxxxxxxxx while xxx screen xxxx data xx highly xxxxxx and xxxxxxxx by xxxxxxx values xxxx highlights xxx need xxx careful xxxx cleaning xxxxxx making xxxxxxxxxxx It xxxxxx in xxxxxxxxxxx trends xxxxxxxxx errors xxx ways xx improve xxxx qualityMore Articles From Statistics for Psychology
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