F2021 Great Experiments PSY203 <\/p>\n
MPart 4 \u2013 Descriptive Statistics<\/p>\n
I: Creating Variables & Typing in Data in SPSS<\/p>\n
1) Go to one of the computers in the computer labs or log into vlab.stetson.edu. (use html) Search for SPSS (IBM SPSS v.26 Statistics) <\/p>\n
2) When it opens, click the \u201cType in data\u201d button on the right hand side.<\/p>\n
3) Look for the \u201cVariable View\u201d & \u201cData View\u201d tabs at the lower left corner of the spreadsheet.<\/p>\n
4) Click on the \u201cVariable View\u201d tab to type in our variables. <\/p>\n
EACH ROW is a separate variable.<\/p>\n
Each COLUMN represents information for that particular variable.<\/p>\n
Name <\/p>\n
Type<\/p>\n
Width<\/p>\n
Decimals<\/p>\n
Labels <\/p>\n
Value<\/p>\n
Missing<\/p>\n
Columns <\/p>\n
Align<\/p>\n
Measure<\/p>\n
Role<\/p>\n
Name: Type in the name of each of our variables (All other columns will \u201cautofill\u201d). Here are the names of our variables<\/p>\n
Participant<\/p>\n
Age<\/p>\n
Gender<\/p>\n
SchoolYear<\/p>\n
Race<\/p>\n
Happiness<\/p>\n
LOC<\/p>\n
Type: Do not change (Should say \u201cNumeric\u201d)<\/p>\n
Width: Do not change<\/p>\n
Decimals: For Participant, Gender, SchoolYear, and Race change to 0.<\/p>\n
Label: Retype (or copy) what you wrote in the first column\u2014the \u2018Name\u2019 column <\/p>\n
Valuesa: Do not change<\/p>\n
Missing: Do not change<\/p>\n
Columns: Do not change<\/p>\n
Align: Do not change<\/p>\n
Measure: Click on the correct type of data (Scale, Ordinal, or Nominal) from the dropdown menu.<\/p>\n
This variable is Scale: Age <\/p>\n
These variables are Ordinal: Happiness and LOC<\/p>\n
These variables are Nominal: Participant, Gender, SchoolYear, Race<\/p>\n
Role: Do not change (should read INPUT)<\/p>\n
IMPORTANT – Values Column \u2013 when you click on value column for variable, a dialogue box will appear, add the following values and labels!!!!<\/p>\n
For Gender: 1 = Female, 2 = Male<\/p>\n
For SchoolYear: 1 = Freshman, 2 = Sophomore, 3 = Junior, 4 = Senior.<\/p>\n
For Race: 5 = Caucasian, 6 = Other (Others included African American\/Black, Latino, or any mixed race reported)<\/p>\n
Name <\/p>\n
Type<\/p>\n
Width<\/p>\n
Decimals<\/p>\n
Labels <\/p>\n
Value<\/p>\n
Missing<\/p>\n
Columns <\/p>\n
Align<\/p>\n
Measure<\/p>\n
Role<\/p>\n
Participant<\/p>\n
Numeric<\/p>\n
8<\/p>\n
0<\/p>\n
Participant<\/p>\n
None<\/p>\n
None<\/p>\n
8<\/p>\n
Right<\/p>\n
Nominal<\/p>\n
Input<\/p>\n
One Completed Example (for \u2018Participant\u2019):<\/p>\n
AFTER YOU HAVE TYPED IN ALL THE VARIABLE VIEW information\u2026..<\/p>\n
5) Click on the \u201cData View\u201d and you will see the variables you just created in the \u201cVariable View\u201d. These variables will be listed across the top of the spreadsheet. You are now ready to type in the data included on the data sheet I have given you. EACH ROW will include ALL the data for one participant.<\/p>\n
Participant<\/p>\n
Age<\/p>\n
Gender<\/p>\n
SchoolYear<\/p>\n
Race<\/p>\n
Happiness<\/p>\n
LOC<\/p>\n
1<\/p>\n
Example for Participant 1:<\/p>\n
**Be sure to save your data FREQUENTLY. NAME YOUR .sav FILE w\/ YOUR LAST NAME, Semester, & year!** <\/p>\n
For example, my data file would be KissaneDataF21.sav<\/p>\n
II: Descriptive Statistics in SPSS<\/p>\n
Descriptive statistics summarize the data. Typically, both a measure of central tendency (e.g., mean) is reported along with a measure of variability (e.g., standard deviation or standard error). You need to \u2018summarize\u2019 the data as follows:<\/p>\n
A. For ALL subjects combined (N= 50), you will conduct descriptive analyses <\/p>\n
For Age – mean and standard deviation<\/p>\n
Happiness \u2013 mean and standard deviation<\/p>\n
LOC \u2013 mean and standard deviation<\/p>\n
School Year – frequency distribution<\/p>\n
Race \u2013 frequency distribution<\/p>\n
B. For Gender, you will conduct separate descriptive analyses for FEMALES (n = 25) and MALES (n = 25), for the following variables:<\/p>\n
Happiness – mean and standard deviation <\/p>\n
LOC – mean and standard deviation<\/p>\n
C. For Race, you will conduct separate descriptive analyses for Caucasian (n = 32) and Others (n = 18) for the following variables:<\/p>\n
Happiness – mean and standard deviation <\/p>\n
LOC \u2013 mean and standard deviation<\/p>\n
To accomplish A: For all subjects combined (N= 50)<\/p>\n
For AGE, Happiness, & LOC (mean & SD)<\/p>\n
– In Data View, Click on DATA at the top of the page. Then, click on Select Cases. A new window will pop up.<\/p>\n
– In that new window, make sure the circle next to \u201cAll cases\u201d is selected. Then click \u201cOK\u201d at bottom of box.<\/p>\n
– In the Data View, click on Analyze, then on Descriptive Statistics, then Descriptives. A new window will pop up.<\/p>\n
– Scroll down and Click on Age being sure to click the arrow after you click on the variable. <\/p>\n
– Now click on Happiness and click the arrow <\/p>\n
– Now then click on LOC and click the arrow<\/p>\n
– Check to be sure that Age, Happiness, and LOC appear in the Variable(s) box. Click OK and wait.<\/p>\n
– IN the output window, you will see your Descriptive Statistics. This is the start of what will be your output file.<\/p>\n
Next, For SchoolYear and Race Frequencies in our sample:<\/p>\n
– In the DataView, click on Analyze, then on Descriptive Statistics, then Frequencies. A new window will pop up.<\/p>\n
– Scroll down and Click on SchoolYear and then the click the arrow to move \u201cSchoolYear\u201d into the Variables Box. <\/p>\n
–Click on Race and click the arrow to move \u201cRace\u201d into the Variables Box. <\/p>\n
–Click OK and wait. <\/p>\n
–In the output window, your Frequencies will appear (below the descriptive stats from above)<\/p>\n
To accomplish B: Gender Descriptive Statistics<\/p>\n
1) You will work with the FEMALE data first. So, to select ONLY the FEMALES\u2019 data <\/p>\n
– In Data View, Click on DATA at the top of the page. Then, click on Select Cases. A new window will pop up<\/p>\n
– In that new window, click the circle next to \u201cIf condition is satisfied\u201d, Then click the \u201cIF\u201d box under that statement. <\/p>\n
– Another new window will pop up.<\/p>\n
– In that new window, click on Gender in the window to the left, then click on the curved arrow. <\/p>\n
\u201cGender\u201d should appear in the window on the top. Click on \u201c=\u201d then click on \u201c1\u201d.<\/p>\n
– Then click on \u201cContinue\u201d at the bottom of the window.<\/p>\n
– Then you will need to click \u201cOK\u201d when a new box appears.<\/p>\n
– Then, go to Data View\u2014Check to be sure the MALE data are crossed off (only in the very 1st column will you see the crossed off boxes\u201d. Also, you will see a new column labeled \u201cfilter_$\u201d. Each FEMALE will now have a \u20181\u2019 in the that column and each MALE will now have a zero 0\u2014It\u2019s just the way the computer identifies which data have been selected.<\/p>\n
NOW, you are ready to calculate the means & standard deviations for the FEMALE scores:<\/p>\n
In the Data View, click on Analyze, then on Descriptive Statistics, then Descriptives.<\/p>\n
A new window will pop up. Clear anything in the Variables Box.<\/p>\n
Scroll down and Click on the Happiness variable being sure to click the arrow after you click on the variable. <\/p>\n
Then, click on LOC being sure to click the arrow after you click on the variable. Check to be sure that the Happiness variable and the LOC variable appear in the \u201cVariables Box.\u201d Click OK and wait. <\/p>\n
Then, a new window (an \u201coutput\u201d window will appear).<\/p>\n
– In it, you will see the Descriptive Statistics for the females.<\/p>\n
2) Now, do the same (mean & SD for the MALE data! (use \u201c2\u201d, not \u201c1\u201d in the \u201cGender\u201d step above where you \u2018select\u2019 the data for the computer to analyze.) <\/p>\n
To accomplish C: Race Descriptive Statistics<\/p>\n
You will conduct separately descriptive analyses (on the Happiness & LOC variables) for \u2018Whites\u2019 and \u2018Others\u2019. You will need to \u2018select data\u2019 as you did above for the males and females, but this time be sure \u201cRace\u201d is in the box and that you use \u20185\u2019 for \u201cWhites\u201d and \u20186\u2019 for \u201cOthers\u201d. <\/p>\n
1) You will work with the Caucasian data first. So, to select ONLY the Caucasians\u2019 data <\/p>\n
– In Data View, Click on DATA at the top of the page. Then, click on Select Cases. A new window will pop up<\/p>\n
– In that new window, click the circle next to \u201cIf condition is satisfied\u201d, Then click the \u201cIF\u201d box under that statement. Another new window will pop up.<\/p>\n
– In that new window, click on Race in the window to the left, then click on the curved arrow. <\/p>\n
\u201cRace\u201d should appear in the window on the top. Click on \u201c=\u201d then click on \u201c5\u201d. (White = 5 in our coding system)<\/p>\n
– Then click on \u201cContinue\u201d at the bottom of the window.<\/p>\n
– Then you will need to click \u201cOK\u201d when a new box appears.<\/p>\n
– Then, go to Data View\u2014Check to be sure the Other Race data are crossed off (only in the very 1st column will you see the crossed off boxes\u201d.<\/p>\n
NOW, you are ready to calculate the means & standard deviations for the Caucasian scores:<\/p>\n
In the Data View, click on Analyze, then on Descriptive Statistics, then Descriptives.<\/p>\n
– A new window will pop up. Clear anything that\u2019s in the \u201cVariable\u2019s Box\u201d.<\/p>\n
– Scroll down and Click on the LoC variable being sure to click the arrow after you click on the variable. Then, click on Happiness being sure to click the arrow after you click on the variable.<\/p>\n
– Check to be sure that the LoC variable and the Happiness variable appear in the \u201cVariables Box\u201d<\/p>\n
– Click OK and wait. Then, a new window (an \u201coutput\u201d window will appear). In it, you will see the Descriptive Statistics for the Caucasians in our sample<\/p>\n
2) Now, do the same (mean & SD for the Other Race data! (use \u201c6\u201d, not \u201c5\u201d in the \u201cRace\u201d step above where you \u2018select\u2019 the data for the computer to analyze.) <\/p>\n
NOW—SAVE THIS OUTPUT FILE (the window with all the results in it)! Click \u2018Save As\u2019 \u2013 and save the output file with your name, semester + \u2018des1\u2019 after it (e.g. my output file name is \u201cKissaneF21des.spv). Later, you will be able to identify it as the file with your descriptive results in it. So, RIGHT NOW you should have ONE .sav file with your data in it and ONE .spv file with the descriptive stats \u201coutput\u201d from above. <\/p>\n
************************************************************************************************************<\/p>\n
You can click in the output the file and write in the actual output. Label your tables and analyses, so you keep everything organized!<\/p>\n
Print the output (if you can), so we can discuss results in class.<\/p>\n
Review checklist, and email both files to me!<\/p>\n
Checklist: <\/p>\n
Time to check your FIRST output file:<\/p>\n
BE SURE you have (for all participants) a Descriptives Box for AGE, Happiness, & LOC<\/p>\n
BE SURE you have (for all participants) a Frequencies Box for School Year & Race<\/p>\n
BE SURE you have a \u2018Descriptives Box\u2019 with Happiness & LOC Scores for the Females (Gender = 1)<\/p>\n
BE SURE you have a Descriptives Box\u2019 with Happiness & LOC Scores for the Males (Gender = 2)<\/p>\n
BE SURE you have a \u2018Descriptives Box\u2019 with Happiness & LOC Scores for \u201cWhites\u201d (Race = 5)<\/p>\n
BE SURE you have a \u2018Descriptives Box\u2019 with Happiness & LOC Scores \u201cOthers\u201d (Race = 6)<\/p>\n
You will submit BOTH files, the data file (.sav) and the descriptive statistics output file (.spv)<\/p>\n
I will check them for accuracy and let you know how you did.<\/p>\n
DUE BY 9\/28<\/p>\n","protected":false},"excerpt":{"rendered":"
F2021 Great Experiments PSY203 MPart 4 \u2013 Descriptive Statistics I: Creating Variables & Typing in Data in SPSS 1) Go to one of the computers in the computer labs or log into vlab.stetson.edu. (use html) Search for SPSS (IBM SPSS v.26 Statistics) 2) When it opens, click the \u201cType in data\u201d button on the right […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10],"class_list":["post-79214","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-writing"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/79214","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=79214"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/79214\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=79214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=79214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=79214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}