Sujan Kumar Ghosh

How tin can I mensurate the relationship between ane independent variable and two or more dependent variables?

I desire to show a relationship between one independent variable and two or more dependent variables. Therefore which statistical analytical method should I apply?

ResearchGate Logo

Get help with your research

Join ResearchGate to ask questions, get input, and advance your work.

Near recent answer

Government Caste College Ganderbal

Thank yous sir ۔۔۔۔ for your valuable respond

Pop Answers (1)

Hello Santosh,

If there is single  response and single predictor, it is known every bit elementary regression.

If there is 1 response and multiple predictors, information technology is called multiple regression.

If there is multiple response variables and one predictor, information technology is called multivariate regression.

If there is multiple response variables and multiple predictors, it is called multivariate multiple regression.

Your trouble falls in third category, so it is  multivariate regression.

Analysis in SPSS:

Multivariate regression is washed in SPSS using the GLM-multivariate.pick. Here is a overnice tutorial on the same:

Analysis in R:

If you adopt using R, the this link may be useful:

R package mvtnorm can be used for this purpose.

All Answers (51)

Mr. Ghosh u can use SPSS ---(Exponential smoothing).

MANOVA: It is used when in that location are two or more dependent variables. Information technology helps to answer : 1. do changes in the contained variable(south) accept meaning effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. amid the independent variables. [...] MANOVA is near effective when dependent variables are moderately correlated (.4 - .vii). If dependent variables are too highly correlated it could be assumed that they may exist measuring the same variable. It is also recommended to non include dependent variables that are supposedly measuring the same construct in MANOVA (Tabachnick & Fidell, 2007). (orig. wikipedia)

How many DVs do you lot actually take?

National Sports Found of Malaysia

MANOVA: one chiselled, IV and two or more continous, dependent variables

Hi Karppeya. U tin use SPSS path is Fourth dimension Series--- exponential smoothing. This is for measuring the r/ship b/w dependent vs. independent variable, e.g., independent variable is week/time (one-ten weeks) and dependent variable is actual need (say, any four digit increasing or decreasing information) if we have to summate the future need forecast for these 10 weeks.

Employ SPSS 10.0 or 11.0 version.

Not sure what type of variables you have, are they continuous or categorical? Well, if they are continuous you could effort partial correlation as a first step then equally others have said try Principal Component Analysis or perhaps Factor Analysis.

Bangladesh Plant of Depository financial institution Management

Howdy Santosh,

If there is single  response and single predictor, information technology is known as simple regression.

If there is i response and multiple predictors, information technology is called multiple regression.

If at that place is multiple response variables and one predictor, it is called multivariate regression.

If there is multiple response variables and multiple predictors, it is called multivariate multiple regression.

Your trouble falls in third category, so information technology is  multivariate regression.

Analysis in SPSS:

Multivariate regression is done in SPSS using the GLM-multivariate.pick. Here is a nice tutorial on the aforementioned:

Analysis in R:

If you adopt using R, the this link may be useful:

R package mvtnorm can exist used for this purpose.

National University of Computer and Emerging Sciences

if nosotros have ane IV and 1DV just DV consisted two more categories which test should be applied?

  • The post-obit table shows general guidelines for choosing a statistical assay.
  • Authors emphasize that these are general guidelines and should non exist construed equally hard and fast rules.
  • Normally your information could be analyzed in multiple ways, each of which could yield legitimate answers.
  • The table below covers a number of mutual analyses and helps yous choose among them based on the number of dependent variables (sometimes referred to as event variables), the nature of your independent variables (sometimes referred to as predictors).

Goldsmiths, University of London

I take a similar question. Is MANOVA also used when the dependent variables have multiple levels?

For example:

The contained variable has a control and experimental condition. Ane dependent variable is the intensity rating of dissimilar emotions. The levels for this dependent variable would be the type of emotion (i.e. fearfulness, joy, surprise, etc.).

Additionally, I am measuring impact scores. The levels for this dependent variable would exist positive and negative impact.

I would wait in that location to be some sort of human relationship between the positive emotions and positive affect too equally the the negative emotions and negative touch on.

Would MANOVA also be appropriate for this example? (ane IV, ii DVs each with multiple levels)

Academy College London

Steve: I would consider your proposed example to take 4 dissimilar DVs in this case, instead of two DVs with two levels. On that regard, then a MANOVA would seem appropriate because you're examining 4 different main relationships (4-DV1, IV-DV2 and then on).

I accept a like question that I was hoping someone may be able to help me with -

I accept one independent variable (intervention or control group) and two dependent variables (which are both assessments) I also want to compare the intervention and command groups at 3 fourth dimension points (baseline, immediately mail-therapy and six weeks postal service-therapy) Which statistical exam should I use? Thank yous!

Should we not keep in mind the type of variable Nominal, ordinal, interval of the IV and DV while prescribing tests?

Is there any way to analyze the interaction effects amid merely outcome variables?

Western Sydney University

My question is likewise similar one.i have 1 independent variable (intervention) and 3 dependent variables.want to compare intervention group and control group at two points- pre-exam post test.i also want to see if there is any interaction among 3 dependent variables. Which statistical analysis techniques I should use?

Regime Higher University Faisalabad

I have i dependent variable and 9 independent variables, which analysis should i perform to analyze my data?

Since you take more than ii independent variables, you lot tin can perform a factorial Anova. It compares ways across two or more than independent variables.  Practiced luck.

Huazhong Agricultural University

I think linear regression will answer your problem.

Huazhong Agricultural University

Hafiz Muhammad Ahmad yous can use the Pearson correlation analysis for all of the variables, It will give y'all the correlation of dependent with independent and inter-correlation as well.

Authorities College Academy Faisalabad

I've got the same business organisation. I wish to analyze 1 contained variable with multiple dependent variable. As such, I wish to look at how the independent variable predicts or influences the multiple dependent variables. What statistical method should you recommend? Thank you

In your case, a regression analysis would be convenient.

Czech University of Life Sciences Prague

Arnel B. Ocay hi Arnel i hope you got an respond for your question so you can share it with me , i take the aforementioned trouble

In my example, I take a single continuous IV (frequency of social media utilize) and two continuous DVs (impulsivity and loneliness). What test should I use?

Korea Maritime and Ocean University

Yeah, it is possible to measure the relationship between an independent and ii or more dependent variables. I will advise Crusade and Effect method or casualty, but in that location's a grab.- both variables accept to respect the rules of a casualty which are ane) both variables have to be correlated to each other or associated. what this means is that- an up or (down) motility of the independent variable should follow with an upward or (downward) movement of the dependent variables. note: if an increment in the independent variable leads to a fall in the dependent variables, then it doesn't follow the first rule of casualty. 2) Timely Club. what this means is that, in that location has to be a pattern in the fluctuations of movements in both variables.- your independent variable has to be manipulated outset, information technology has to move kickoff then the dependent variable follows. for case.- Motivational speakers ofttimes say- to succeed (which is the dependent variable) you need to confident(independent variable). but then, at that place are these groups of people,- actors, singers, very rich celebrities who are confident just they got confident because they became rich. hope you get the picture. three) Non-spuriousness is a relationship between 2 variables that is not due to variation in a third variable. When this third variable, an extraneous variable, causes the variation, information technology is said to have created a spurious relationship between the independent and dependent variables. and so you need to narrow information technology down to two variables each and see if they respect the above rules of casualty. information technology is also possible to measure the relationship thrice e.thou the independent variable and one dependent variable then do it again with another dependent variable.

*Just and so, after writing this bulky respond I looked at your question over again and became confused. did you hateful between one dependent variable and two or more contained? or not? Yet, how tin you have more dependent variables? shouldn't information technology be the sole variable that is dependent on the independent?

Begum Rokeya University, Rangpur-5404, People's republic of bangladesh

Thanks sir. I have 3 Four nemely employee motivation, training design and organizational support and ane DV e.i., training transfer. Four data are collected immediately subsequently grooming and DV data is collected later three months of preparation. My question is, if i desire to find out causal relationship which have prior hypothesis then the enquiry strategy tin exist experimental or survey?

Mine case is, I take multiple independent variables (mixture of categorical and continuous) and 2 dependent variables (all categorical).

Which statistical analysis will be the all-time

AL Hussian Bin Talal Universty

I think a regression analysis would exist fine

National Academy of Sciences and Engineering

i highly recommend to use Regression Analysis

AL Hussian Bin Talal Universty

Academy of Southampton

Try looking at multivariate assay.

South China Normal University

what about having one independent variable which is divided into (vii dimensions)

and 1 dependent which is divided into (iv dimensions) , how tin can i measure the relationship between the 2 Variables ? should i utilize simple regression?

My dependent variable is one (Online learning) and contained variable are 14 (Technology ,income, education ,learning, response, satisfaction etc.my question is how tin can I show the relationship between independent variables with measuring method?

Colorado State University

We need to learn about the nature of your dependent and independent variables. That is, are they all normal (scale) or you have some nominal or ordinal?

For example, if the DV (online learning is scale then you might exercise multiple linear regression. If it is nominal (how many levels?)then yous might do logistic regression

Institut National Polytechnique de Toulouse

what well-nigh if I have four independent variable and iv dependent variable, thay are all nominal and wanted to regress them what method should I use?

Jagannath University - Bangladesh

If ane contained VARIABLE remains various levels yous tin apply MANOVA.

Jagannath University - Bangladesh

You can use multiple regression models

Jagannath University - Bangladesh

Yous can apply Pearson's correlation method through SPSS software. Like your independent variable is task stress and dependent variable are job satisfaction & Chore functioning. You can examine inter correlations amidst the variables. Cheers.

.

Jagannath Academy - Bangladesh

First I will recommend you to apply correlation matrix or you can use MANOVA.

Cheers

Jagannath University - People's republic of bangladesh

If independent variable is categorical variable and has its some dimensions also as dependent variables representing continuous information so you can utilize MANOVA. Other wise you tin can discover out correlation coefficient. Alternative suggestion is that suppose all are continuous data in that case you tin categories IV using quartile difference then you lot tin can apply MANOVA. Thank you.

Jagannath University - Bangladesh

Madam, MANOVA would be appropriate.

Thanks

@Nisha Arora

Hi,

What is the appropriate way to make up one's mind the significance of the divergence between an independent variable (Ten: Potential) and a dependent variable (Y: Yield)? There are 3 numbers in each group.

  • 10: 6.6, 7.8, 5.9
  • Y: 3465, 2679, 4796

Cheers

Government Degree Higher Ganderbal

Hi mam

I have one dependent variable due east۔yard Age Group and it is divided into 3 levels i۔due east۔

i۔(Age group 12-16

two۔ Age grop 17-21

3۔ Age Group 22- xvi

And fifteen contained varaibles like withdrawal intensity٫ peckish and Anxiety etc۔ i desire to see whether iii groups differed in Craving, withdrawal symtoms and mental health issues or not Which test should I use as I have an equal sample size in all age groups۔

AL Hussian Bin Talal Universty

I remember MANOVA would be fine

Similar questions and discussions

Related Publications

Quantiles and quantile ranks(or plotting positions) are widely used in academia and industry. Sample quantile methods and sample quantile methods implemented in some major statistical software are at least seven, respectively. Small looking differences between the methods can brand large differences in outcomes that issue from decisions based on them...

El presente artículo tiene como propósito exponer el desarrollo metodológico asociado a la utilización de videotutoriales de software estadístico, como complemento a clases presenciales en dicha área temática. Inicialmente se plasman algunos principios de la enseñanza de la estadística en la educación superior. Posteriormente, se desarrolla la meto...

Got a technical question?

Get high-quality answers from experts.