Calculating percents for a dimension

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Calculating percents for a dimension

 Hello all, I have question about calculating dimension percents for a group of questions, across cases with missing values. Below is a sample dataset for Dimension 1, comprised for 4 questions.  1= Unfavorable, 2 = Neutral, and 3 = Favorable.  Is there a custom table that can summarize these 4 variables into a single value, ignoring the missing values? q1 q2 q3 q4 . . 1 1 1 . . . 3 3 2 3 3 3 3 1 2 2 2 1 3 1 3 3 3 3 3 3 3 2 1 3 1 3 3 1 3 3 3 3 The way we typically calculate these percents is through Excel formulas. We past this data into excel, we then sum the frequency (count in SPSS) all the 1s 2s and 3s and divide each by the total.  In this example, the percents would be as follows:            Unfav    Neu       Fav      Total counts     9      5        21 35 percents    0.257    0.14      0.6 Is there any way to do this in SPSS?  Thanks so much in advance if you have a solution to this time-consuming problem!! Laura Leach
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Re: Calculating percents for a dimension

 Hi Laura, Try this: *** Aggregates cases to calculate percentages for each response option . COMPUTE alldata = 1 . AGGREGATE   /OUTFILE='c:\agg.sav'   /BREAK=alldata   /q1_u= PIN(q1 1 1)   /q2_u= PIN(q2 1 1)   /q3_u= PIN(q3 1 1)   /q4_u=  PIN(q4 1 1)   /q1_n= PIN(q1 2 2)   /q2_n= PIN(q2 2 2)   /q3_n= PIN(q3 2 2)   /q4_n=  PIN(q4 2 2)   /q1_f= PIN(q1 3 3)   /q2_f= PIN(q2 3 3)   /q3_f= PIN(q3 3 3)   /q4_f=  PIN(q4 3 3). *** Computes the dimension scores . GET   FILE='C:\agg.sav'. COMPUTE DIM1_FAV = MEAN(q1_f to q4_f) . COMPUTE DIM1_NEU = MEAN(q1_n to q4_n) . COMPUTE DIM1_UNF = MEAN(q1_u to q4_u) . EXE . Hope that's what you were looking for. Best, --Justin Black On 8/22/06, Laura Leach <[hidden email]> wrote: > > Hello all, > > I have question about calculating dimension percents for a group of > questions, across cases with missing values. > > Below is a sample dataset for Dimension 1, comprised for 4 questions.  1= > Unfavorable, 2 = Neutral, and 3 = Favorable.  Is there a custom table that > can summarize these 4 variables into a single value, ignoring the missing > values? > > > q1 q2 q3 q4 > . . 1 1 > 1 . . . > 3 3 2 3 > 3 3 3 1 > 2 2 2 1 > 3 1 3 3 > 3 3 3 3 > 3 2 1 3 > 1 3 3 1 > 3 3 3 3 > > > The way we typically calculate these percents is through Excel formulas. > We past this data into excel, we then sum the frequency (count in SPSS) > all > the 1s 2s and 3s and divide each by the total.  In this example, the > percents would be as follows: > >            Unfav    Neu       Fav      Total > counts     9      5        21 35 > percents    0.257    0.14      0.6 > > Is there any way to do this in SPSS?  Thanks so much in advance if you > have > a solution to this time-consuming problem!! > > Laura Leach >
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Re: Calculating percents for a dimension

 In reply to this post by Laura Leach This should work for you. GET FILE = 'Type file name here' . Value Labels /q1 to q4 1  "Unfavorable" 2  "Neutral" 3  "Favorable". VARSTOCASES  /MAKE Dimension FROM Q1 TO Q4 . FREQ  Dimension. ********Out put *********** Dimension                          Frequency      Percent Valid Percent   Cumulative Percent Valid   Unfavorable              9             25.7             25.7              25.7         Neutral          5             14.3             14.3              40.0         Favorable                21            60.0             60.0              100.0         Total                  35              100.0      100.0 Edward. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]]On Behalf Of Laura Leach Sent: Tuesday, August 22, 2006 1:49 PM To: [hidden email] Subject: Calculating percents for a dimension Hello all, I have question about calculating dimension percents for a group of questions, across cases with missing values. Below is a sample dataset for Dimension 1, comprised for 4 questions.  1= Unfavorable, 2 = Neutral, and 3 = Favorable.  Is there a custom table that can summarize these 4 variables into a single value, ignoring the missing values? q1 q2 q3 q4 . . 1 1 1 . . . 3 3 2 3 3 3 3 1 2 2 2 1 3 1 3 3 3 3 3 3 3 2 1 3 1 3 3 1 3 3 3 3 The way we typically calculate these percents is through Excel formulas. We past this data into excel, we then sum the frequency (count in SPSS) all the 1s 2s and 3s and divide each by the total.  In this example, the percents would be as follows:            Unfav    Neu       Fav      Total counts     9      5        21 35 percents    0.257    0.14      0.6 Is there any way to do this in SPSS?  Thanks so much in advance if you have a solution to this time-consuming problem!! Laura Leach