How to compute the average or composite scale by combining variables or items in SPSS

this example we are going to combine items from a liquid scale into one item we want to make a scale so let's rate this example we have for absence and make a motivation scale in this case we combine all of this poor element using SPSS to make one scale also in this case all items are positively Oded and organized in a Likert scale like it's scaled one low and then for high okay there are two methods to compute compose the scale now let's compute using the average method for the motivation scale back to my working spaces file we have four items a b c d these are the items i'm going to combine them to make one scale so in other words we are going to combine all of this for element make sure you keep them in the parentheses and divide by 4 that's the one we get the motivation scale for our need let's go back to the spaces fun in this data set we click transform compute variable in our target variables we are going to name it motivation scale okay you can name it motivation scale hit continue and make sure you start with the parentheses so this is the one we're starting now the first value is I prefer I think this is the one click there oh that's the B one so let's delete this one okay I practice this is the first one I practice click there plus B B item is this one it goes there plus C item that is the C one okay plus D so we have four items now move your cursor here and then divide so total four items click there hit OK now this is the one we are here let's take a look now this is the one motivation scale which we reverse so if you go to the variables and then last right on message here here you go and then you can put the value the one value is low and then the for its high value is in the like it scale wonderful click OK if you go back to your data set you should not have more than at I mean the entire dataset should be between one two for one low and then for high so this is the correct one let's go and and check the method to again click transform go to compute variable and we are going to compute again motivation scale outright be because we did this earlier to second base and scale that's B now this time what we do is go to the function group here you will find a statistic okay statistic click on mean we are going to go by the mean of four items now the first item is once you get the parentheses okay click this one this is our first one and it's a now you move your cursor after comma the second one is I prefer and I'll put comma type from your keyboard third item and then hit AMC now come you need to enter it manually now the last one D okay you have all of these four items is you have on your survey so we are going to get the mini school of four items now once you are done this click OK this is your syntax if you go back to your data set so you have the first method and then the second method of getting the scale okay you have exact the same score in the both method so you can go either either way to find the motivation is scale

Channel: Krishna Bista

Views: 46,204

Rating: 4.8435755 out of 5

Keywords: scale development, survey, spss, compute the average scale, stat course

Id: Wos4DYqikSo

Length: 5min 8sec (308 seconds)

Published: Fri Feb 19 2016