Eyob
1 year & 10 months ago

Thank you, It is very helpful to my thesis.

Amila
2 years & 2 days ago

Thank you so much. for this article. It is very clear and to the point. Clearly explain how to interpret SPSS data even for an absolute beginner…

Neetha Ajimon
2 years & 6 days ago

Table 3. Results from linear regression analyses of psychosomatic health complaints regressed on teacher support and covariates. Regression coefficients and 95% confidence intervals (95% CI) with robust standard errors. n=3,716
Crude Model 1 Model 2 Model 3
b 95% CI b 95% CI b 95% CI b 95% CI
Teacher support
Low (ref) 0.00 0.00 0.00 0.00
Intermediate -1.54*** -2.22 , -0.85 -1.34*** -1.96, -0.71 -1.37*** -1.98, -0.75 -0.92 -2.13,0 .29
High -3.95*** -4.70,-3.19 -3.31*** -3.99, -2.64 -3.34*** -4.02, -2.67 -3.35*** -4.56,-2.14
Gender
Boys (ref) 0.00 0.00 0.00 0.00
Girls 4.81*** 4.30, 5.32 4.82*** 4.33, 5.31 4.83*** 4.33, 5.32 4.83*** 4.33, 5.32
Other 7.94*** 6.28, 9.60 7.54*** 5.89,9.18 7.69*** 6.06 ,9.33 7.69*** 6.04, 9.32
Grade
5 (ref) 0.00 0.00 0.00
7 3.23*** 2.55, 3.91 2.54*** 1.91,3.17 2.54*** 1.92,3.18 2.76*** 1.43, 4.09
9 4.21*** 3.51, 4.92 3.61*** 2.97, 4.24 3.67*** 2.97,4.25 3.80*** 2.42. 5.19
Family affluence
Low (ref) 0.00 0.00 0.00
Intermediate -0.01 -0.62, 0.61 -0.16 -0.69, 0.36 0.16*** -0.69, 0.37
High 0.21 -0.65, 1.11 0.11 -0.66, 0.89 0.11 -0.66, 0.89
Migrant background
Born in Sweden with at least one Swedish born parent (ref) 0.00 0.00 0.00
Born in Sweden with two parents born abroad -0.06 -0.94,0.83 -0.09 -0.85,0.66 -0.09 -0.85,0.66
Born abroad -0.77 -1.64,0.11 -1.21* -1.9,-0.47 -1.21* -1.94,-0.47

Wald test for interaction teacher support#grade P=0.68
***p<0.001 **p<0.01 *p<0.05

Heri
2 years & 10 months ago

I want to know why you choose to utilize unstandardized beta rather than standardized beta in order to achieve this good outcome.

Eba
1 year & 1 month ago

Thanks for quality

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Murekatete zawadi
3 years & 3 months ago

thank you very much!
it was very clear and helpful

Riya Jain
3 years & 2 months ago

Thanks Murekatete for appreciation

Reply

M Naveed
3 years & 3 months ago

Please send me details about regression analysis

Suad
3 years & 2 months ago

Thank you for replying. I have two separate data sets. For the first data set the model summary results are: R= .752, R Square=.566, Adjusted R Square=.555 and Std. Error of the Estimate= 9.640.
For the second data set the results are: R= .797, R Square=.635, Adjusted R Square=.623 and Std. Error of the Estimate=8.880.

For both models, I used the same three predictors for one dependent variable (Course Score).

And I have one more question, Should I report the results of checking the linear regression assumptions before start presenting the regression results?

Thank you.

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Riya Jain
3 years & 2 months ago

The 2nd model is more appropriate as the value Adjusted R square is more there and even standard error is less. Further, assumption testings you can do. But majorly its practiced for economic data.

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Suad
3 years & 3 months ago

Hi, I found this article very helpful. I just have one question about the Model Summary table. What is the acceptable value for “Std. Error of the Estimate”? I am doing research on the factors that influence students’ scores in one subject using three different tests as dependent variables. Thank you in advance. The value I have now is 9.640, is this considered acceptable?

Riya Jain
3 years & 2 months ago

Hi Suad,
There is no specific acceptable value for the standard error of the estimate. Generally the values for significance level, R square or adjusted R square are checked

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Vivian
3 years & 3 months ago

Thank you. This is very helpful

Dilshod
3 years & 3 months ago

Thank you. it was very helpful. it was very clear.

Tumabang Emmanuel
3 years & 5 months ago

Thanks for this document.
It is simple and clear. it has been very helpful to me. Now I know what to do with my analysis

Antony gitonga
3 years & 1 month ago

Very satisfying

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