Academic Skills II, Lecture 5 (Quantitative Research II)
Karin Wegenstein

How to export the SPSS-Output to a Word or PPT file:

SPSS-Output of Lecture 5 (28/03/2022)

Frequencies

Statistics	
To
which occupational group do you belong?Please choose the one of which you obtain your greatest income.  	
N	Valid	330	
	Missing	0	

	Frequency	Percent	Valid Percent	
Valid	Labourer	6	1,8	1,8	
	Employee	292	88,5	88,5	
	Apprentice	4	1,2	1,2	
	Public Servant	28	8,5	8,5	
	Total	330	100,0	100,0	

FREQUENCIES VARIABLES=B2_Occupation
  /ORDER=ANALYSIS.

Frequencies

Statistics	
Occupation Status  	
N	Valid	330	
	Missing	0	

Occupation Status	
	Frequency	Percent	Valid Percent	Cumulative Percent	
Valid	Labourer	6	1,8	1,8	1,8	
	Employee	292	88,5	88,5	90,3	
	Apprentice	4	1,2	1,2	91,5	
	Public Servant	28	8,5	8,5	100,0	
	Total	330	100,0	100,0		

FREQUENCIES VARIABLES=Work_Life_Balance Life_Satisfaction
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.

Frequencies

Statistics	
	Work_Life_Balance	Life_Satisfaction	
N	Valid	276	272	
	Missing	54	58	
Mean	11,66	30,94	
Median	12,00	33,50	
Std. Deviation	2,339	9,697	
Minimum	4	6	
Maximum	16	45	

Frequency Table

FREQUENCIES VARIABLES=Work_Life_Balance Life_Satisfaction
  /FORMAT=NOTABLE
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.

Frequencies

Statistics	
	Work_Life_Balance	Life_Satisfaction	
N	Valid	276	272	
	Missing	54	58	
Mean	11,66	30,94	
Median	12,00	33,50	
Std. Deviation	2,339	9,697	
Minimum	4	6	
Maximum	16	45	

* Chart Builder.
GGRAPH
  /GRAPHDATASET NAME="graphdataset" VARIABLES=B3_Workhours COUNT()[name="COUNT"] MISSING=LISTWISE
    REPORTMISSING=NO
  /GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
  SOURCE: s=userSource(id("graphdataset"))
  DATA: B3_Workhours=col(source(s), name("B3_Workhours"), unit.category())
  DATA: COUNT=col(source(s), name("COUNT"))
  GUIDE: axis(dim(1), label("How many hours do you work per week?"))
  GUIDE: axis(dim(2), label("Count"))
  GUIDE: text.title(label("Simple Bar Count of How many hours do you work per week?"))
  SCALE: cat(dim(1), include("1", "2", "3"))
  SCALE: linear(dim(2), include(0))
  ELEMENT: interval(position(B3_Workhours*COUNT), shape.interior(shape.square))
END GPL.

GGraph

* Chart Builder.
GGRAPH
  /GRAPHDATASET NAME="graphdataset" VARIABLES=B2_Occupation COUNT()[name="COUNT"] MISSING=LISTWISE
    REPORTMISSING=NO
  /GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
  SOURCE: s=userSource(id("graphdataset"))
  DATA: B2_Occupation=col(source(s), name("B2_Occupation"), unit.category())
  DATA: COUNT=col(source(s), name("COUNT"))
  GUIDE: axis(dim(1), label("Occupation Status"))
  GUIDE: axis(dim(2), label("Count"))
  GUIDE: text.title(label("Simple Bar Count of Occupation Status"))
  SCALE: cat(dim(1), include("1", "2", "3", "4", "5", "6"))
  SCALE: linear(dim(2), include(0))
  ELEMENT: interval(position(B2_Occupation*COUNT), shape.interior(shape.square))
END GPL.

GGraph

* Chart Builder.
GGRAPH
  /GRAPHDATASET NAME="graphdataset" VARIABLES=B2_Occupation COUNT()[name="COUNT"] MISSING=LISTWISE
    REPORTMISSING=NO
  /GRAPHSPEC SOURCE=INLINE.
BEGIN GPL
  SOURCE: s=userSource(id("graphdataset"))
  DATA: B2_Occupation=col(source(s), name("B2_Occupation"), unit.category())
  DATA: COUNT=col(source(s), name("COUNT"))
  COORD: polar.theta(startAngle(0))
  GUIDE: axis(dim(1), null())
  GUIDE: legend(aesthetic(aesthetic.color.interior), label("Occupation Status"))
  GUIDE: text.title(label("Pie Chart Count of Occupation Status"))
  SCALE: linear(dim(1), dataMinimum(), dataMaximum())
  SCALE: cat(aesthetic(aesthetic.color.interior), include(
"1", "2", "3", "4", "5", "6"))
  ELEMENT: interval.stack(position(summary.percent(COUNT))), color.interior(B2_Occupation))
END GPL.

GGraph

GGraph

* Chart Builder.
GGRAPH
  /GRAPHDATASET NAME="graphdataset" VARIABLES=Work_Life_Balance Life_Satisfaction MISSING=LISTWISE
    REPORTMISSING=NO
  /GRAPHSPEC SOURCE=INLINE
  /FITLINE TOTAL=NO SUBGROUP=NO.
BEGIN GPL
  SOURCE: s=userSource(id("graphdataset"))
  DATA: Work_Life_Balance=col(source(s), name("Work_Life_Balance"))
  DATA: Life_Satisfaction=col(source(s), name("Life_Satisfaction"))
  GUIDE: axis(dim(1), label("Work_Life_Balance"))
  GUIDE: axis(dim(2), label("Life_Satisfaction"))
  GUIDE: text.title(label("Scatter Plot of Life_Satisfaction by Work_Life_Balance"))
  ELEMENT: point(position(Work_Life_Balance*Life_Satisfaction))
END GPL.

GGraph

CORRELATIONS
  /VARIABLES=Work_Life_Balance Life_Satisfaction
  /PRINT=ONETAIL NOSIG FULL
  /MISSING=PAIRWISE.

Correlations

Correlations	
	Work_Life_Balance	Life_Satisfaction	
Work_Life_Balance	Pearson Correlation	1	,328**	
	Sig. (1-tailed)		,000	
	N	276	272	
Life_Satisfaction	Pearson Correlation	,328**	1	
	Sig. (1-tailed)	,000		
	N	272	272	

**. Correlation is significant at the 0.01 level (1-tailed).	

FREQUENCIES VARIABLES=B2_Occupation
  /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN
  /ORDER=ANALYSIS.

Frequencies

Statistics	
Occupation Status  	
N	Valid	291	
	Missing	39	
Mean	2,17	
Median	2,00	
Std. Deviation	,589	
Minimum	1	
Maximum	4	

Occupation Status	
	Frequency	Percent	Valid Percent	Cumulative Percent	
Valid	Labourer	5	1,5	1,7	1,7	
	Employee	257	77,9	88,3	90,0	
	Apprentice	4	1,2	1,4	91,4	
	Public Servant	25	7,6	8,6	100,0	
	Total	291	88,2	100,0		
Missing	System	39	11,8			
Total	330	100,0