Nesting data
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I asked managers to fill in a questionaire in which they had to respond how
they score on different styles of humor. Then their employees had to fill in how good the relationship was with the manager, how happy they are to work there, how long they are working together,... So I have for example: Manager 1 => score 50 on humor style 1 score 30 on humor style 2 Employee 1, manager 1 => score 20 on relationship score 30 on job satisfaction Employee 2, manager 1 => score 30 on relationship score 20 on job satisfaction Now I have to nest the data of the employees within their managers (with level 1 variables: job satisfaction, relationship,... and with level 2 variables: the style of humor of the manager) to do my statistical analysis. I don't know how to do it in SPSS. Can someone give me an idea of how I can do that? Thanks in advance for the help. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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You don't say but I'm guessing that the data have already been entered. Has it been? Since you mention 'level 1' and 'level 2', I infer that you'll be doing some analyses with the mixed procedure. For that analysis specifically, your data need to be organized (more or less) as follows: managerID employeeID manager variable list employee variable list. You might (A) have entered the manager data in one file and the employee data in another file, but you might have (B) entered the manager and employee data in one single file. If (A) the mangerID should appear in the manager file (obviously!) AND in the employee file. To put the files together, the employee file is the 'Table' file in the match files command (manager file is sorted by manager id and employee file sorted by managerID and employeeId). If (B), every record must repeat the managerID and the manager's data for all of his/her employees (along with each employee's ID. What is your data file structure(s): A or B?
Practical business. It's useful to have a manager data file and an employee data file as well as the (above described) manager+employees file. Gene Maguin -----Original Message----- From: SPSSX(r) Discussion <[hidden email]> On Behalf Of casoms Sent: Sunday, April 8, 2018 6:53 AM To: [hidden email] Subject: Nesting data I asked managers to fill in a questionaire in which they had to respond how they score on different styles of humor. Then their employees had to fill in how good the relationship was with the manager, how happy they are to work there, how long they are working together,... So I have for example: Manager 1 => score 50 on humor style 1 score 30 on humor style 2 Employee 1, manager 1 => score 20 on relationship score 30 on job satisfaction Employee 2, manager 1 => score 30 on relationship score 20 on job satisfaction Now I have to nest the data of the employees within their managers (with level 1 variables: job satisfaction, relationship,... and with level 2 variables: the style of humor of the manager) to do my statistical analysis. I don't know how to do it in SPSS. Can someone give me an idea of how I can do that? Thanks in advance for the help. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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Yes indeed, I have to do a multilevel structural equation modeling with the
data. Now I have a file with the employee-data, a file with manager-data and a merged file. In the merged file I have a variable "managerID" and a variable "employeeID", I don't know exactly what I had to do so I gave every manager a number and every employee the number of their manager, like this: managerID employeeID man/emp affiliative humor aggressive humor 1 1 man 20 30 2 1 1 emp 20 30 3 1 1 emp 20 30 4 2 man 55 35 5 2 2 emp 55 35 6 2 2 emp 55 35 Only managers had a score on affiliative humor and aggressive humor. I copied the data of the manager to the records of their employees. Is this what you meant? If this is OK, how do I nest the data of the employees in their managers? -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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You should post an example of what the ML SEM program expects as input?
By using the MATCH FILES with the manager file as a TABLE (suggested by Eugene) you would get the manager data replicated onto each of their respective employee records. Maybe that is NOT what the ML SEM program expects? What do you consider nesting as far as the data structure goes? Back to the basics! --- casoms wrote > Yes indeed, I have to do a multilevel structural equation modeling with > the > data. Now I have a file with the employee-data, a file with manager-data > and > a merged file. > In the merged file I have a variable "managerID" and a variable > "employeeID", I don't know exactly what I had to do so I gave every > manager > a number and every employee the number of their manager, like this: > > managerID employeeID man/emp affiliative > humor aggressive humor > 1 1 man > 20 30 > 2 1 1 emp > 20 30 > 3 1 1 emp > 20 30 > 4 2 man > 55 35 > 5 2 2 emp > 55 35 > 6 2 2 emp > 55 35 > > Only managers had a score on affiliative humor and aggressive humor. I > copied the data of the manager to the records of their employees. Is this > what you meant? If this is OK, how do I nest the data of the employees in > their managers? > > > > -- > Sent from: http://spssx-discussion.1045642.n5.nabble.com/ > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD ----- Please reply to the list and not to my personal email. Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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Here is one way your data for mixed procedure could look like
manD empD affilhumor aggrumor howgood howhappy howlong 1 101 30 40 4 6 2 1 103 30 40 1 3 7 1 104 30 40 7 2 10 2 101 20 0 2 2 5 2 108 20 0 5 5 3 2 110 20 0 1 2 20 Mixed howgood with affilhumor/fixed affilhumor/print estimates Random intercept | subject(manID) covtype id. The level 1 model is howgood(I,j) = B0(i) + e1(I,j). The level 2 model is B0(i) = G10 + G11*affilhumor + e2(i). Gene Maguin -----Original Message----- From: SPSSX(r) Discussion <[hidden email]> On Behalf Of David Marso Sent: Monday, April 9, 2018 3:38 PM To: [hidden email] Subject: Re: Nesting data You should post an example of what the ML SEM program expects as input? By using the MATCH FILES with the manager file as a TABLE (suggested by Eugene) you would get the manager data replicated onto each of their respective employee records. Maybe that is NOT what the ML SEM program expects? What do you consider nesting as far as the data structure goes? Back to the basics! --- casoms wrote > Yes indeed, I have to do a multilevel structural equation modeling with > the > data. Now I have a file with the employee-data, a file with manager-data > and > a merged file. > In the merged file I have a variable "managerID" and a variable > "employeeID", I don't know exactly what I had to do so I gave every > manager > a number and every employee the number of their manager, like this: > > managerID employeeID man/emp affiliative > humor aggressive humor > 1 1 man > 20 30 > 2 1 1 emp > 20 30 > 3 1 1 emp > 20 30 > 4 2 man > 55 35 > 5 2 2 emp > 55 35 > 6 2 2 emp > 55 35 > > Only managers had a score on affiliative humor and aggressive humor. I > copied the data of the manager to the records of their employees. Is this > what you meant? If this is OK, how do I nest the data of the employees in > their managers? > > > > -- > Sent from: http://spssx-discussion.1045642.n5.nabble.com/ > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD ----- Please reply to the list and not to my personal email. Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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Maguin, Eugene wrote
> Here is one way your data for mixed procedure could look like > manD empD affilhumor aggrumor howgood howhappy howlong > 1 101 30 40 4 6 2 > 1 103 30 40 1 3 7 > 1 104 30 40 7 2 10 > 2 101 20 0 2 2 5 > 2 108 20 0 5 5 3 > 2 110 20 0 1 2 20 > > Mixed howgood with affilhumor/fixed affilhumor/print estimates > Random intercept | subject(manID) covtype id. > > The level 1 model is howgood(I,j) = B0(i) + e1(I,j). > The level 2 model is B0(i) = G10 + G11*affilhumor + e2(i). > > Gene Maguin > > > -----Original Message----- > From: SPSSX(r) Discussion < > SPSSX-L@.UGA > > On Behalf Of David Marso > Sent: Monday, April 9, 2018 3:38 PM > To: > SPSSX-L@.UGA > Subject: Re: Nesting data > > You should post an example of what the ML SEM program expects as input? > By using the MATCH FILES with the manager file as a TABLE (suggested by > Eugene) you would get the manager data replicated onto each of their > respective employee records. Maybe that is NOT what the ML SEM program > expects? > What do you consider nesting as far as the data structure goes? > Back to the basics! > --- > > > > casoms wrote >> Yes indeed, I have to do a multilevel structural equation modeling with >> the >> data. Now I have a file with the employee-data, a file with manager-data >> and >> a merged file. >> In the merged file I have a variable "managerID" and a variable >> "employeeID", I don't know exactly what I had to do so I gave every >> manager >> a number and every employee the number of their manager, like this: >> >> managerID employeeID man/emp affiliative >> humor aggressive humor >> 1 1 man >> 20 30 >> 2 1 1 emp >> 20 30 >> 3 1 1 emp >> 20 30 >> 4 2 man >> 55 35 >> 5 2 2 emp >> 55 35 >> 6 2 2 emp >> 55 35 >> >> Only managers had a score on affiliative humor and aggressive humor. I >> copied the data of the manager to the records of their employees. Is >> this >> what you meant? If this is OK, how do I nest the data of the employees in >> their managers? >> >> >> >> -- >> Sent from: http://spssx-discussion.1045642.n5.nabble.com/ >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to > >> LISTSERV@.UGA > >> (not to SPSSX-L), with no body text except the >> command. To leave the list, send the command >> SIGNOFF SPSSX-L >> For a list of commands to manage subscriptions, send the command >> INFO REFCARD > > > > > > ----- > Please reply to the list and not to my personal email. > Those desiring my consulting or training services please feel free to > email me. > --- > "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos > ne forte conculcent eas pedibus suis." > Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in > abyssum?" > -- > Sent from: http://spssx-discussion.1045642.n5.nabble.com/ > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD ----- Please reply to the list and not to my personal email. Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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In reply to this post by Maguin, Eugene
OP stated that a Multi Level SEM (Structural Equations model) would be run
against the data. We ned to know the expectations of this program WRT data layout. Maguin, Eugene wrote > Here is one way your data for mixed procedure could look like > manD empD affilhumor aggrumor howgood howhappy howlong > 1 101 30 40 4 6 2 > 1 103 30 40 1 3 7 > 1 104 30 40 7 2 10 > 2 101 20 0 2 2 5 > 2 108 20 0 5 5 3 > 2 110 20 0 1 2 20 > > Mixed howgood with affilhumor/fixed affilhumor/print estimates > Random intercept | subject(manID) covtype id. > > The level 1 model is howgood(I,j) = B0(i) + e1(I,j). > The level 2 model is B0(i) = G10 + G11*affilhumor + e2(i). > > Gene Maguin > > > -----Original Message----- > From: SPSSX(r) Discussion < > SPSSX-L@.UGA > > On Behalf Of David Marso > Sent: Monday, April 9, 2018 3:38 PM > To: > SPSSX-L@.UGA > Subject: Re: Nesting data > > You should post an example of what the ML SEM program expects as input? > By using the MATCH FILES with the manager file as a TABLE (suggested by > Eugene) you would get the manager data replicated onto each of their > respective employee records. Maybe that is NOT what the ML SEM program > expects? > What do you consider nesting as far as the data structure goes? > Back to the basics! > --- > > > > casoms wrote >> Yes indeed, I have to do a multilevel structural equation modeling with >> the >> data. Now I have a file with the employee-data, a file with manager-data >> and >> a merged file. >> In the merged file I have a variable "managerID" and a variable >> "employeeID", I don't know exactly what I had to do so I gave every >> manager >> a number and every employee the number of their manager, like this: >> >> managerID employeeID man/emp affiliative >> humor aggressive humor >> 1 1 man >> 20 30 >> 2 1 1 emp >> 20 30 >> 3 1 1 emp >> 20 30 >> 4 2 man >> 55 35 >> 5 2 2 emp >> 55 35 >> 6 2 2 emp >> 55 35 >> >> Only managers had a score on affiliative humor and aggressive humor. I >> copied the data of the manager to the records of their employees. Is >> this >> what you meant? If this is OK, how do I nest the data of the employees in >> their managers? >> >> >> >> -- >> Sent from: http://spssx-discussion.1045642.n5.nabble.com/ >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to > >> LISTSERV@.UGA > >> (not to SPSSX-L), with no body text except the >> command. To leave the list, send the command >> SIGNOFF SPSSX-L >> For a list of commands to manage subscriptions, send the command >> INFO REFCARD > > > > > > ----- > Please reply to the list and not to my personal email. > Those desiring my consulting or training services please feel free to > email me. > --- > "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos > ne forte conculcent eas pedibus suis." > Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in > abyssum?" > -- > Sent from: http://spssx-discussion.1045642.n5.nabble.com/ > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD ----- Please reply to the list and not to my personal email. Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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David, Thank you. Yes, OP did say that. I didn't recall it.
OP, what SEM program are you using? If you are using mplus, then the data structure I showed will work. See, for example, 9.6. Anything else. I don't know. Gene Maguin -----Original Message----- From: SPSSX(r) Discussion <[hidden email]> On Behalf Of David Marso Sent: Monday, April 9, 2018 4:31 PM To: [hidden email] Subject: Re: Nesting data OP stated that a Multi Level SEM (Structural Equations model) would be run against the data. We ned to know the expectations of this program WRT data layout. Maguin, Eugene wrote > Here is one way your data for mixed procedure could look like manD > empD affilhumor aggrumor howgood howhappy howlong > 1 101 30 40 4 6 2 > 1 103 30 40 1 3 7 > 1 104 30 40 7 2 10 > 2 101 20 0 2 2 5 > 2 108 20 0 5 5 3 > 2 110 20 0 1 2 20 > > Mixed howgood with affilhumor/fixed affilhumor/print estimates Random > intercept | subject(manID) covtype id. > > The level 1 model is howgood(I,j) = B0(i) + e1(I,j). > The level 2 model is B0(i) = G10 + G11*affilhumor + e2(i). > > Gene Maguin > > > -----Original Message----- > From: SPSSX(r) Discussion < > SPSSX-L@.UGA > > On Behalf Of David Marso > Sent: Monday, April 9, 2018 3:38 PM > To: > SPSSX-L@.UGA > Subject: Re: Nesting data > > You should post an example of what the ML SEM program expects as input? > By using the MATCH FILES with the manager file as a TABLE (suggested > by > Eugene) you would get the manager data replicated onto each of their > respective employee records. Maybe that is NOT what the ML SEM > program expects? > What do you consider nesting as far as the data structure goes? > Back to the basics! > --- > > > > casoms wrote >> Yes indeed, I have to do a multilevel structural equation modeling >> with the data. Now I have a file with the employee-data, a file with >> manager-data and a merged file. >> In the merged file I have a variable "managerID" and a variable >> "employeeID", I don't know exactly what I had to do so I gave every >> manager a number and every employee the number of their manager, like >> this: >> >> managerID employeeID man/emp affiliative >> humor aggressive humor >> 1 1 man >> 20 30 >> 2 1 1 emp >> 20 30 >> 3 1 1 emp >> 20 30 >> 4 2 man >> 55 35 >> 5 2 2 emp >> 55 35 >> 6 2 2 emp >> 55 35 >> >> Only managers had a score on affiliative humor and aggressive humor. >> I copied the data of the manager to the records of their employees. >> Is this what you meant? If this is OK, how do I nest the data of the >> employees in their managers? >> >> >> >> -- >> Sent from: http://spssx-discussion.1045642.n5.nabble.com/ >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to > >> LISTSERV@.UGA > >> (not to SPSSX-L), with no body text except the command. To leave the >> list, send the command SIGNOFF SPSSX-L For a list of commands to >> manage subscriptions, send the command INFO REFCARD > > > > > > ----- > Please reply to the list and not to my personal email. > Those desiring my consulting or training services please feel free to > email me. > --- > "Nolite dare sanctum canibus neque mittatis margaritas vestras ante > porcos ne forte conculcent eas pedibus suis." > Cum es damnatorum possederunt porcos iens ut salire off sanguinum > cliff in abyssum?" > -- > Sent from: http://spssx-discussion.1045642.n5.nabble.com/ > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the command. To leave the > list, send the command SIGNOFF SPSSX-L For a list of commands to > manage subscriptions, send the command INFO REFCARD > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the command. To leave the > list, send the command SIGNOFF SPSSX-L For a list of commands to > manage subscriptions, send the command INFO REFCARD ----- Please reply to the list and not to my personal email. Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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I'm using SPSS. I have to use multilevel structural equation modeling to
examine a 2-1-1 mediation model, hierarchical lineair modeling to test my hypotheses and for analyzing cross-level mediation I have to use a four-step multilevel model building process. To do those analyses I should nest the data, but I don't know how I can do that. Thanks, I appreciate that you take the time to read my questions. I'm not so good with statistics. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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Ok. spss mixed is what you are going to use. The data format is correct: each record carries a level 2 id code, the level 2 variables, and the level 1 variables for a level 1 person, here, an employee, who is part of the level 2 unit, here, a manager. Yesterday I said that a level 1 id was needed. Although I have always included a level 1 id, I do not think that one is absolutely required for correct functioning of the mixed procedure because the level 1 id is not named in the command syntax.
For my education, what is your reference(s) for the four step process you reference? Gene Maguin -----Original Message----- From: SPSSX(r) Discussion <[hidden email]> On Behalf Of casoms Sent: Tuesday, April 10, 2018 11:23 AM To: [hidden email] Subject: Re: Nesting data I'm using SPSS. I have to use multilevel structural equation modeling to examine a 2-1-1 mediation model, hierarchical lineair modeling to test my hypotheses and for analyzing cross-level mediation I have to use a four-step multilevel model building process. To do those analyses I should nest the data, but I don't know how I can do that. Thanks, I appreciate that you take the time to read my questions. I'm not so good with statistics. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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