EXPERIMENTAL AND
CORRELATIONAL RESEARCH
SPSS GUIDE
Based off Course Curriculum from year 2016/2017
2016/2017
INTERNATIONAL BACHELOR IN PSYCHOLOGY IBP
, SPSS Experimental and Correlation
Table of Contents
Correlation ..............................................................................................................................................................................................2-3
Simple Linear Regression ..............................................................................................................................................................4-7
Multiple Linear Regression ...........................................................................................................................................................8-9
Looks ............................................................................................................................................................................................................ 10
Merging ....................................................................................................................................................................................................... 10
Looks ............................................................................................................................................................................................................ 10
Regression Analysis with a dichotomous predictor....................................................................................................... 11
Regression Analysis with a dichotomous predictor and a continuous predictor ....................................... 11
One-way ANOVA with Post Hoc .................................................................................................................................................. 12
One-way ANOVA with Prior Contrast....................................................................................................................................... 13
Kruskal Wallis ........................................................................................................................................................................................ 14
Two-Way ANOVA .................................................................................................................................................................................. 15
Effect size ................................................................................................................................................................................................... 16
Hierarchical regression analysis ................................................................................................................................................ 17
1
, SPSS Experimental and Correlation
• Calculate the Pearson correlation, spearman correlation, point-biserial correlation, and the Phi coefficient,
and interpret the outcome
Pearson: Quantitative and Quantitative [scatter plot: Linear]
Pointbiserial: dichotomous and Quantitative
Phi: Dichotomous and Dichotomous
Spearman: Ordinal and Ordinal [scatterplot: non-linear]
To determine the significance “Sig.” has to be below 0.05 in
the table. If it is above 0.05 it is statistically insignificant
o Pearson (r) (Survival 137)
§ Between quantitative and quantitative, scatterplot has to be linear, Parametric
§ To find biserial (rpd): this s between dichotomous and quantitative, conduct spearman or
Pearson’s, find the values that are dichotomous and quantitative and look for the values
there.
§ Analyse à Correlate à Bivariate à Check: Pearson, Two-tailed and Flag Significant à
Options à Exclude certain values
Total Perceived Stress Total PCOISS
Pearson Correlation 1 -.0581**
Total Perceived Stress Sig. (2-tailed) .000 ß P Value / Correlation value
N 433 426
ßSignificance level (sig. if below 0.05)
Pearson Correlation -.0581** 1
ß N of trials
Total PCOISS Sig. (2-tailed) .000
N 426 430
**Correlation is significant at the 0.01 level (2-tailed)
o Spearman (rs) (Survival 137)
§ Between ordinal and ordinal, scatterplot has to be non-linear, Non-Parametric
§ To find biserial (rpd): this s between dichotomous and quantitative, conduct spearman or
Pearson’s, find the values that are dichotomous and quantitative and look for the values
there.
§ Analyse à Correlate à Bivariate à Check: Spearman rho, Two-tailed and Flag Significant
à Options à Exclude certain values
2
CORRELATIONAL RESEARCH
SPSS GUIDE
Based off Course Curriculum from year 2016/2017
2016/2017
INTERNATIONAL BACHELOR IN PSYCHOLOGY IBP
, SPSS Experimental and Correlation
Table of Contents
Correlation ..............................................................................................................................................................................................2-3
Simple Linear Regression ..............................................................................................................................................................4-7
Multiple Linear Regression ...........................................................................................................................................................8-9
Looks ............................................................................................................................................................................................................ 10
Merging ....................................................................................................................................................................................................... 10
Looks ............................................................................................................................................................................................................ 10
Regression Analysis with a dichotomous predictor....................................................................................................... 11
Regression Analysis with a dichotomous predictor and a continuous predictor ....................................... 11
One-way ANOVA with Post Hoc .................................................................................................................................................. 12
One-way ANOVA with Prior Contrast....................................................................................................................................... 13
Kruskal Wallis ........................................................................................................................................................................................ 14
Two-Way ANOVA .................................................................................................................................................................................. 15
Effect size ................................................................................................................................................................................................... 16
Hierarchical regression analysis ................................................................................................................................................ 17
1
, SPSS Experimental and Correlation
• Calculate the Pearson correlation, spearman correlation, point-biserial correlation, and the Phi coefficient,
and interpret the outcome
Pearson: Quantitative and Quantitative [scatter plot: Linear]
Pointbiserial: dichotomous and Quantitative
Phi: Dichotomous and Dichotomous
Spearman: Ordinal and Ordinal [scatterplot: non-linear]
To determine the significance “Sig.” has to be below 0.05 in
the table. If it is above 0.05 it is statistically insignificant
o Pearson (r) (Survival 137)
§ Between quantitative and quantitative, scatterplot has to be linear, Parametric
§ To find biserial (rpd): this s between dichotomous and quantitative, conduct spearman or
Pearson’s, find the values that are dichotomous and quantitative and look for the values
there.
§ Analyse à Correlate à Bivariate à Check: Pearson, Two-tailed and Flag Significant à
Options à Exclude certain values
Total Perceived Stress Total PCOISS
Pearson Correlation 1 -.0581**
Total Perceived Stress Sig. (2-tailed) .000 ß P Value / Correlation value
N 433 426
ßSignificance level (sig. if below 0.05)
Pearson Correlation -.0581** 1
ß N of trials
Total PCOISS Sig. (2-tailed) .000
N 426 430
**Correlation is significant at the 0.01 level (2-tailed)
o Spearman (rs) (Survival 137)
§ Between ordinal and ordinal, scatterplot has to be non-linear, Non-Parametric
§ To find biserial (rpd): this s between dichotomous and quantitative, conduct spearman or
Pearson’s, find the values that are dichotomous and quantitative and look for the values
there.
§ Analyse à Correlate à Bivariate à Check: Spearman rho, Two-tailed and Flag Significant
à Options à Exclude certain values
2
