1:04 Create a frequency table 2:04 Analyze a multiple response question 4:22 Calculate the mean and standard deviation 5:34 Show the means of scale items in one table 7:13 Perform a cross-tabulation (And chi square test) 9:14 Correlate two variables 10:33 Compare two means with a t-test 12:20 Format tables Helpful video for those with hearing disabilities. Thanks.
This is probably the BEST and most comprehensible explanation for SPSS analysis. It would have been even better if Claus Ebster can provide us with more explanation on other SPSS functions.
I think I was quite lucky to come across this particular video which happened to be the first one to see on SPSS analysis. Never thought it would be that easy! Thank you Claus :)
it is really informative. I have data from a survey conducted by the bureau of statistics. these are the findings of their survey such as education level by age group, gender wise, region wise. please guide me how can i enter this data in SPSS for empirical estimations. plz help me.
Hi everyone! can anyone help me with my case as follows: I recently did a training need assessment, now reached data analysis stage but unsure about a thing. Questionnaires have different topics for 4 different types of respondents (i.e. section A applies to respondent type A, section B applies to respondent type B and so on); only training topics are different; while other personal data and training methods apply to all 4 types of respondents. should I use different file (I use spss) to analyze data by type of respondents? If Yes, what should I do with other section for personal data and methods of training as they apply to all types of respondents? I hope to get advice from you. Thanks.
Very useful tutorial, but at 10:17, what does -,431 ,mean ? If it is -0.431, it is impossible because correlation runs from 0 to 1. Please explain for me. Thanks
The minus sign means that this is a negative correlation. The correlation coefficient can be between 0 and +1 (positive correlation) and between 0 and -1 (negative correlation; as one variable goes up the other one goes down)