Question.4102 - Assignment Five: Using Gamma to analyze and interpret associations between two ordinal variables Part I: Use APA style and formatting for all assignments, references, and citations. Yes, have a cover page, too, as well as a running head. Try Purdue Owl for an example APA style paper: https://owl.english.purdue.edu/owl/resource/560/18/ Part II: Gamma and bivariate analysis (cross tabulation) of two ordinal variables Using the ACS 2018-2022 dataset recode schl into a new variable called schlcat. This information is all in chapter seven, and you should have a better and better understanding of how to recode from past assignments, your readings, and the videos. Now let’s change the schl values into schlcat values as follows. Your new variable will be called schlcat. If you are having trouble remembering how to recode variables, go back to chapter seven to study how to recode variables. There is also a step-by-step recoding document in course materials. We are recoding the values for schl listed in the ACS data dictionary starting on page 44, also available in course materials, in case you want to see what the values mean that we are recoding. Use the values I have entered below. Click continue when you finish. Then, click OK to transform the variable. I strongly encourage you to look at the data dictionary -50482518351400 2895600128270 Save your data set with the new variable schlcat. You save this because you might be asked to use it again, like inccat in this assignment and in a past assignment. First change the measure to ordinal. Now, let’s put some labels on those numbers so we know what they mean. Click on the values box for schlcat. 08255000 58274045743Change measure to ordinal 020000Change measure to ordinal 40192661831172371725175895 In the box that pops up, see below, enter the following variable values and labels. 017018000 Value=1, Label=Less than H.S. Value=2, Label=High School Value=3, Label=Some College Value=4, Label=Bachelor’s Degree Value=5, Label=Graduate Degree Notice under variable view that SPSS has tried to sense or defaults the new variable measures. Those default measures are incorrect. We need to change them. We know that our new variable agecat is ordinal, inccat is ordinal, occat is nominal, and schlcat is ordinal. Change the measures by clicking into the boxes and choosing the correct measure. This is new, right? Many of you might have been relying on SPSS up until now to tell you what kind of measure a variable is. Well, SPSS tries to sense it, but it is not always correct. You need to know which measure to choose for each variable. 0317500000339090010204450 400050022225 Run frequency tables for inccat and your recoded schlcat variable, under statistics click on mode. You may run each frequency table separately or at the same time. I have done mine at the same time so the mode is presented for both variables in the same table. Make sure to turn on your weight variable before the analysis. The weight variable is called “pwgtp.” Copy and paste the frequency tables and the table that presents the mode. Yes, I know you have run the frequency table for inccat before. Please, do it anyway and think of it as good practice. What kind of measure is inccat and schlcat now that you recoded each of them (i.e., nominal, ordinal, interval/ratio)? Hint: they have to both be ordinal to use Gamma as a measure of association. I had you recode these variables so both would be ordinal. J inccat: schlcat: What is the mode for each variable? inccat: schlcat: What does each mode tell us about each variable? Write a full sentence for each variable describing what the variable mode means. Which one is your independent variable, which one is your dependent variable? Independent: Dependent: Follow the directions for demonstration 13.2 in your text except you will use schlcat and inccat as your variables. Make sure your weight variable is turned on. The independent variable goes in the column so you need to know which is which. Copy and paste the crosstabulation table and the symmetric measures tables. If one of the tables goes outside of the margins, then select the table, right click, go to autofit and select autofit to window. What is the value of Gamma? Complete this sentence, knowing the education level; of a person allows us to predict his or her income level____% more accurately. Would you say that the association between schlcat and incat is weaker or stronger? How come? Unlike Lambda, Gamma not only indicates the strength of an association, but it also indicates what? Is Gamma for our analysis positive or negative? Complete this sentence by choosing either increases or decreases: As schlcat increases inccat (increases/decreases). Complete this sentence by choosing either increases or decreases: As schlcat decreases inccat (increases/decreases). Required bonus question/you must answer and will receive up to five extra points: Make some concluding statements about the relationship between amount of education and income. These should be complete sentences where you practice reporting the SPSS analyses, the numbers, using precise language.
Answer Below:
Assignment xxxx Using xxxxx to xxxxxxx and xxxxxxxxx associations xxxxxxx two xxxxxxx variables xxxx I xxx APA xxxxx and xxxxxxxxxx for xxx assignments xxxxxxxxxx and xxxxxxxxx Yes xxxx a xxxxx page xxx as xxxx as x running xxxx Try xxxxxx Owl xxx an xxxxxxx APA xxxxx paper xxxxx owl xxxxxxx purdue xxx owl xxxxxxxx Part xx Gamma xxx bivariate xxxxxxxx cross xxxxxxxxxx of xxx ordinal xxxxxxxxx Using xxx ACS x dataset xxxxxx schl xxxx a xxx variable xxxxxx schlcat xxxx information xx all xx chapter xxxxx and xxx should xxxx a xxxxxx and xxxxxx understanding xx how xx recode xxxx past xxxxxxxxxxx your xxxxxxxx and xxx videos xxx lets xxxxxx the xxxx values xxxx schlcat xxxxxx as xxxxxxx Your xxx variable xxxx be xxxxxx schlcat xx you xxx having xxxxxxx remembering xxx to xxxxxx variables xx back xx chapter xxxxx to xxxxx how xx recode xxxxxxxxx There xx also x step-by-step xxxxxxxx document xx course xxxxxxxxx We xxx recoding xxx values xxx schl xxxxxx in xxx ACS xxxx dictionary xxxxxxxx on xxxx also xxxxxxxxx in xxxxxx materials xx case xxx want xx see xxxx the xxxxxx mean xxxx we xxx recoding xxx the xxxxxx I xxxx entered xxxxx Click xxxxxxxx when xxx finish xxxx click xx to xxxxxxxxx the xxxxxxxx I xxxxxxxx encourage xxx to xxxx at xxx data xxxxxxxxxx - xxxx your xxxx set xxxx the xxx variable xxxxxxx You xxxx this xxxxxxx you xxxxx be xxxxx to xxx it xxxxx like xxxxxx in xxxx assignment xxx in x past xxxxxxxxxx First xxxxxx the xxxxxxx to xxxxxxx Now xxxx put xxxx labels xx those xxxxxxx so xx know xxxx they xxxx Click xx the xxxxxx box xxx schlcat xxxxxx measure xx ordinal xxxxxx measure xx ordinal xx the xxx that xxxx up xxx below xxxxx the xxxxxxxxx variable xxxxxx and xxxxxx Value xxxxx Less xxxx H x Value xxxxx High xxxxxx Value xxxxx Some xxxxxxx Value xxxxx Bachelors xxxxxx Value xxxxx Graduate xxxxxx Notice xxxxx variable xxxx that xxxx has xxxxx to xxxxx or xxxxxxxx the xxx variable xxxxxxxx Those xxxxxxx measures xxx incorrect xx need xx change xxxx We xxxx that xxx new xxxxxxxx agecat xx ordinal xxxxxx is xxxxxxx occat xx nominal xxx schlcat xx ordinal xxxxxx the xxxxxxxx by xxxxxxxx into xxx boxes xxx choosing xxx correct xxxxxxx This xx new xxxxx Many xx you xxxxx have xxxx relying xx SPSS xx until xxx to xxxx you xxxx kind xx measure x variable xx Well xxxx tries xx sense xx but xx is xxx always xxxxxxx You xxxx to xxxx which xxxxxxx to xxxxxx for xxxx variable xxx frequency xxxxxx for xxxxxx and xxxx recoded xxxxxxx variable xxxxx statistics xxxxx on xxxx You xxx run xxxx frequency xxxxx separately xx at xxx same xxxx I xxxx done xxxx at xxx same xxxx so xxx mode xx presented xxx both xxxxxxxxx in xxx same xxxxx Make xxxx to xxxx on xxxx weight xxxxxxxx before xxx analysis xxx weight xxxxxxxx is xxxxxx pwgtp xxxx and xxxxx the xxxxxxxxx tables xxx the xxxxx that xxxxxxxx the xxxx Yes x know xxx have xxx the xxxxxxxxx table xxx inccat xxxxxx Please xx it xxxxxx and xxxxx of xx as xxxx practice xxxx kind xx measure xx inccat xxx schlcat xxx that xxx recoded xxxx of xxxx i x nominal xxxxxxx interval xxxxx Hint xxxx have xx both xx ordinal xx use xxxxx as x measure xx association x had xxx recode xxxxx variables xx both xxxxx be xxxxxxx inccat xxxxxxx schlcat xxxxxxx What xx the xxxx for xxxx variable xxxxxx schlcat xxxx does xxxx mode xxxx us xxxxx each xxxxxxxx Write x full xxxxxxxx for xxxx variable xxxxxxxxxx what xxx variable xxxx means xxx mode xx in xxxxxx tells xxxx the xxxx frequently xxxxxxxx in xxx income xxxxxxxx is xxxxxxxx which xxxxx that xxxx of xxx income xx between xx The xxxx of xx schlcat xxxxxxxxx tells xxxx the xxxx common xxxxxxxxx level xx category xxxxx tells xxxx most xx the xxxxxxxxxxx have xxxxxxx in xxxx college xxxxx one xx your xxxxxxxxxxx variable xxxxx one xx your xxxxxxxxx variable xxxxxxxxxxx schlcat xxxxxxxxx inccat xxxxxx the xxxxxxxxxx for xxxxxxxxxxxxx in xxxx text xxxxxx you xxxx use xxxxxxx and xxxxxx as xxxx variables xxxx sure xxxx weight xxxxxxxx is xxxxxx on xxx independent xxxxxxxx goes xx the xxxxxx so xxx need xx know xxxxx is xxxxx Copy xxx paste xxx crosstabulation xxxxx and xxx symmetric xxxxxxxx tables xx one xx the xxxxxx goes xxxxxxx of xxx margins xxxx select xxx table xxxxx click xx to xxxxxxx and xxxxxx autofit xx window xxxx is xxx value xx Gamma xxxxxxxx this xxxxxxxx knowing xxx education xxxxx of x person xxxxxx us xx predict xxx or xxx income xxxxx more xxxxxxxxxx Would xxx say xxxx the xxxxxxxxxxx between xxxxxxx and xxxxx is xxxxxx or xxxxxxxx How xxxx The xxxxxxxxxxx between xxxxxxx and xxxxx is xxxxxxxx as xxx value xx Gamma xx closer xx Unlike xxxxxx Gamma xxx only xxxxxxxxx the xxxxxxxx of xx association xxx it xxxx indicates xxxx Direction xx Gamma xxx our xxxxxxxx positive xx negative xxxxxxxx Complete xxxx sentence xx choosing xxxxxx increases xx decreases xx schlcat xxxxxxxxx inccat xxxxxxxxx decreases xxxxxxxxx Complete xxxx sentence xx choosing xxxxxx increases xx decreases xx schlcat xxxxxxxxx inccat xxxxxxxxx decreases xxxxxxxxx Required xxxxx question xxx must xxxxxx and xxxx receive xx to xxxx extra xxxxxx Make xxxx concluding xxxxxxxxxx about xxx relationship xxxxxxx amount xx education xxx income xxxxx should xx complete xxxxxxxxx where xxx practice xxxxxxxxx the xxxx analyses xxx numbers xxxxx precise xxxxxxxx There xx positive xxxxxxxxxxxx between xxx two xxxxxxx variables xxxxxxxxx attainment xxx schlcat xxx income xxxxx inccat xxxx a xxxxx value xx As xxx level xx education xxxxxxxxx the xxxxxx level xxxx increase xxx as xxx level xx education xx very xxxx the xxxxxx level xxxx decrease xxxxx on xxx education xxxxxxxxxx we xxx predict xxx income xxxxxxxxxxMore Articles From Sociology
.ico)
.ico)
.ico)
.ico)
