+ Reply to Thread
Page 1 of 2 1 2 LastLast
Results 1 to 15 of 17

Thread: Appropriate method for research model

  1. #1
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Smile Appropriate method for research model




    Hi guys! Please i need your advice!

    I have developed a model about some factors that influence the desire of members to share information is online communities. So, i have in total 9 variables and I want to check the relationship among the variables.

    My question is which of the following method is the best choice:
    a) linear regression
    b) confirmatory factor analysis

    I have already run the the linear regression in SPSS and the results made sense. So what is your opinion?

    Thanks in advance!

  2. #2
    ggplot2orBust
    Points: 71,220, Level: 100
    Level completed: 0%, Points required for next Level: 0
    Awards:
    User with most referrers
    trinker's Avatar
    Location
    Buffalo, NY
    Posts
    4,417
    Thanks
    1,811
    Thanked 928 Times in 809 Posts

    Re: Appropriate method for research model

    This sounds like an interesting study. If you posted the results back here I think we'd be interested in seeing your results. Anyway on to your question:

    desire of members to share information
    How did you measure this?
    "If you torture the data long enough it will eventually confess."
    -Ronald Harry Coase -

  3. #3
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    Hi! For all the variable I asked two or three questions. So regarding the "desire of members to share information" i had some question like the following one:

    a) I visit the yyy community to share my knowledge with other people

    about the answer i used the five item scale that ranges from strongly disagree to strongly agree...

    So do you have any idea about the research method?

  4. #4
    TS Contributor
    Points: 13,936, Level: 76
    Level completed: 72%, Points required for next Level: 114
    jpkelley's Avatar
    Location
    Vancouver, BC, Canada
    Posts
    440
    Thanks
    17
    Thanked 90 Times in 84 Posts

    Re: Appropriate method for research model

    I agree. This sounds very interesting. You mentioned that you want to test the relationship between variables. Does this mean you want to test this between your nine variables OR do you wish to understand the independent effect of the nine variables on desire to share information?

  5. #5
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    The relationships that i want to study are the followings:

    X1--> Y1
    X2--> Y1
    X3-->Y1

    X4-->Y2
    X5-->Y2
    Y1-->Y2

    Y1-->Y3
    Y2-->Y3

    So, Y3 is the the desire of members to share information, let's say the main dependent variable

    X1...X5 are the independent variables

  6. #6
    TS Contributor
    Points: 22,399, Level: 93
    Level completed: 5%, Points required for next Level: 951
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Appropriate method for research model

    what is X1, X2,... X5 and Y1, Y2, Y3?? this is sounding a lot up the alley of either path analysis or structural equation modeling..

  7. #7
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    X1...X5
    and Y1... Y3 are the variables of the model

  8. #8
    TS Contributor
    Points: 22,399, Level: 93
    Level completed: 5%, Points required for next Level: 951
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Appropriate method for research model

    Quote Originally Posted by icsd04 View Post
    So, Y3 is the the desire of members to share information, let's say the main dependent variable. X1...X5 are the independent variables
    yah, i got that from your previous post, but i need (actually to give you proper advice we all need) to know what they are. for instance i know Y3 = desire of members to share information because you said so. what is Y1? what is Y2? what are X1, X2,...X5? age? gender? motivation? depending on whether you have purely observed variables or latent variables with indicators, this thing could either be some type of regression, path analysis or structural equation modeling... it looks more like structural equation modeling because you mentioned confirmatory factor analysis (which happens to be a special case of SEM) but, to be able to say that, more info about your research design is needed...

    thanks!

  9. #9
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    Hi!!!

    Yes of course i can share this info with you.
    Y1=Members' satisfaction
    Y2= Sense of Belonging
    Y3= Members' desire to share information

    X1= System's Quality
    X2= Information Quality
    X3= Ease of use

    X4= Trust
    X5= Length of membership

    I have already run the linear regression in SPSS, and the results make sense since i have calculated r, r square, adjusted r, t-statistic, sig and the Beta. So is this enough to verify the validity and the correlation among the variables, since i know that the linear regression does not prove the existence of a cause-effect relationship...

    Is it necessary to use Lisrel for a factor analysis?

    Thanks in advance!

  10. #10
    TS Contributor
    Points: 22,399, Level: 93
    Level completed: 5%, Points required for next Level: 951
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Appropriate method for research model

    Quote Originally Posted by icsd04 View Post
    So is this enough to verify the validity and the correlation among the variables, since i know that the linear regression does not prove the existence of a cause-effect relationship...

    Is it necessary to use Lisrel for a factor analysis?
    uhm... this is where it gets tricky and it depends on how sophisticated you'd like to get. mathematically speaking that should suffice because you're finding evidence of linear realtionships among variables... the problem is that, if you are building this as an explanatory model for, how did you say it? measure the desire of members to share information is online communities then the answer would be "no", because desire to share information is a latent variable in a measurement-validity sense which relates to a psychological construct and OLS regression only deals with directly observable variables. you would be making the assumption that whatever score people get in your Y1, Y2, Y3 variables is in fact a direct measure of members satisfaction, sense of belonging and desire to share information... and we know that is not the case because you cannot cut a piece of desire to share information and weight it or measure it in inches to see how much of it is present in an individual... in that case you need to tap into the variance of the latent variable through your indicators (your X's) and build a structural model on which you do latent variable regression...

    ok, so... what is this particular piece of research for? is it for a school paper i think going the way of OLS regression should suffice, but if this is something you may want to end up publishing at some point, you'd need to go and do SEM...
    (oh, and LISREL is not the only piece of software that does confirmatory factor analysis. you can do that in R, SAS, Mplus or the optional/additional package AMOS from the guys who created SPSS...)

  11. #11
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    @ Spunky

    It is about a master thesis assignment so from your point of view it is better to so SEM by using one of the tools that you mentioned in your post right?

    ?

  12. #12
    TS Contributor
    Points: 22,399, Level: 93
    Level completed: 5%, Points required for next Level: 951
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Appropriate method for research model

    master thesis assignment? then yes, you'd wanna use SEM... absolutely. if you already know that there is such a thing as confirmatory factor analysis and LISREL and all, then you're expected to use SEM... besides, (i was just TAing for a SEM-like course) i forgot to mention that you'll need the simultaneous solution to all the regression equations you're specifying and SEM is the only way to get those...

  13. #13
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model

    However, for SEM (Structural Equation Modeling) there are three methodologies that can be used:
    a) Regression (both linear and multiple)
    b) Confirmatory factor analysis
    c) Path analysis

  14. #14
    TS Contributor
    Points: 22,399, Level: 93
    Level completed: 5%, Points required for next Level: 951
    spunky's Avatar
    Location
    vancouver, canada
    Posts
    2,135
    Thanks
    166
    Thanked 537 Times in 431 Posts

    Re: Appropriate method for research model

    ok... regression is in itself not structural equation modeling but it's a building block to it. however, you have several independent and dependent variables which OLS regression cannot handle because it is a univariate (only one dependent Y) technique. OLS regression also assumes that you're measuring the variables you're regressing directly and without error, which is not your case because you have both observable and latent variables. so regular regression is too limited for what you'd like to do...
    now, the choice is now between confirmatory factor analysis or path analysis and that kind of depends on the kind of data you have. confirmatory factor analysis is a specific application of structural equation modeling to test validation... if your Xs and Ys are are items for psychological scales/instruments and your Xs and Ys are the latent variables on which you are assuming they'd load, then you use it... however, it seems to me that you're specifying a strucutral model on your data with a whole bunch of observable indicators tapping into the latent variables... so i think you should go for path analysis, which is the most general version of SEM...

  15. #15
    Points: 827, Level: 15
    Level completed: 27%, Points required for next Level: 73

    Posts
    11
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Appropriate method for research model


    Thanks a lot i will finally apply the confirmatory factor analysis even though i have not understood yet its functionality. In the literature most of the researchers have used CFA (Confirmatory Factor Analysis)

+ Reply to Thread
Page 1 of 2 1 2 LastLast

           




Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts






Advertise on Talk Stats