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kjetil b halvorsen ♦
kjetil b halvorsen ♦
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I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

     table     table score
P1   0              41
P2   1              55
P3   0              37  
P4   1              52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

     table     table score
P1   0              41
P2   1              55
P3   0              37  
P4   1              52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

     table     table score
P1   0              41
P2   1              55
P3   0              37  
P4   1              52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure.

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whuber ♦
whuber ♦
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Long Does it make sense to have more data format sample sizerecords than participants in a study?

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

     table     table score
P1   0              41
P2   1              55
P3   0              37  
P4   1              52

P1 0 41 P2 1 55 P3 0 37
P4 1 52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.

Long data format sample size

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

 table     table score

P1 0 41 P2 1 55 P3 0 37
P4 1 52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.

Does it make sense to have more data records than participants in a study?

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

     table     table score
P1   0              41
P2   1              55
P3   0              37  
P4   1              52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.

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Emrah Dolgunsöz
Emrah Dolgunsöz
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Long data format sample size

I have a sample size of 51 and for my each participant, I have 15 dichotomous variables for vocabulary knowledge (know-not know) and 15 variable for their score for each word. Something like this:

 table     table score

P1 0 41 P2 1 55 P3 0 37
P4 1 52

I have 15 different pairs of variables like this and I restructured the data into long format (variables to cases). So now I have 2 main variables as "words" and "scores". I will go for pearson correlation but this time "N" increases to thousands. I have 51 participants, not thousands of people. Is that a problem or normal? I think it is quite reasonable but I am not sure. Thanks.