![]() ![]() Yes=1, No=0, "I don't know what you mean"=2Īfter your messages, I checked and I noticed that there are some missing values in my dataset. I assigned a numerical value (from 1 to X) for the MCQ. 5 point- Survey Scale (-2, -1, 0, +1, +2) + "I don't know what you mean. "Yes", "No", "I don't know what you mean" The questions of the survey (my variables on Stata) are: ![]() The objective of the survey is to measure the digital skills of civil servants, so I want to consider only the variables related to the 4 blocks. ) plus an introductory part where I gather general information about participants (gender age. The survey is made of 4 main blocks, which measure digital skills through different methods (self-assessment, engagement. I provide you with further information, to have a better understanding of what I am doing: Sorry but I am a newbie in this forum and I have never performed an EFA. If I try to include one of the last two missing variables, Stata returns me the following error: “ insufficient observations r (2001)”.ĭo you know how to solve these issues? Is there a solution or should I work with a lower number of variables? This situation becomes extreme when I try to include a very large number of variables, up to "var122", where I have (obs = 4). What I know is that, as the number of variables that I correlate with each other increases, the number of observations on which Stata works decreases (obs = 114, 95. I tried the corr command trying to include a different (and always increasing) number of variables, always starting from the 1st (var1).When I try to create the global variable that includes all the variables, with global varlist var1-var124, Stata gives me the following message: “ too many variables specified r(103).I want to perform the EFA considering all the variables, but I am having 2 major problems: The number of questions in the survey, which corresponds to the variables of the analysis, is 124. The number of participants is 152, but the final number of observations is 124 because there are some missing values. I want to perform an Exploratory Factor Analysis (EFA) on a survey. ![]()
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