SPSS DATA ANALYSIS

SPSS Data Analysis

SPSS Data Analysis

Introduction

SPSS is software used for analysis of data especially from social sciences. We are given here certain variable for which we have to find certain descriptive and some analysis through graphs. So here we begin with descriptive statistics.

FREQUENCIES VARIABLES=Traitanxiety Stateanxiety thinkingstyle

/HISTOGRAM NORMAL

/ORDER=ANALYSIS.

Frequencies

Traitanxiety

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

37

2

3.3

3.3

3.3

39

1

1.7

1.7

5.0

45

5

8.3

8.3

13.3

46

1

1.7

1.7

15.0

47

2

3.3

3.3

18.3

49

1

1.7

1.7

20.0

50

3

5.0

5.0

25.0

51

2

3.3

3.3

28.3

52

12

20.0

20.0

48.3

53

2

3.3

3.3

51.7

54

1

1.7

1.7

53.3

55

4

6.7

6.7

60.0

56

1

1.7

1.7

61.7

57

4

6.7

6.7

68.3

58

5

8.3

8.3

76.7

59

2

3.3

3.3

80.0

61

2

3.3

3.3

83.3

62

4

6.7

6.7

90.0

64

1

1.7

1.7

91.7

65

2

3.3

3.3

95.0

66

1

1.7

1.7

96.7

67

1

1.7

1.7

98.3

68

1

1.7

1.7

100.0

Total

60

100.0

100.0

Stateanxiety

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

41

2

3.3

3.3

3.3

44

3

5.0

5.0

8.3

46

4

6.7

6.7

15.0

47

8

13.3

13.3

28.3

48

3

5.0

5.0

33.3

49

1

1.7

1.7

35.0

50

3

5.0

5.0

40.0

51

6

10.0

10.0

50.0

52

3

5.0

5.0

55.0

54

6

10.0

10.0

65.0

55

2

3.3

3.3

68.3

56

6

10.0

10.0

78.3

57

3

5.0

5.0

83.3

58

2

3.3

3.3

86.7

60

2

3.3

3.3

90.0

61

3

5.0

5.0

95.0

62

1

1.7

1.7

96.7

63

1

1.7

1.7

98.3

74

1

1.7

1.7

100.0

Total

60

100.0

100.0

thinkingstyle

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

type 1

39

65.0

65.0

65.0

type 2

12

20.0

20.0

85.0

type 3

9

15.0

15.0

100.0

Total

60

100.0

100.0

Above table shows frequencies of various types of thinking style and the third type have maximum frequency.

Histogram

Histogram shows negatively skewness

Above histogram shows positive skewness.

Above histogram shows positive skewness.

DESCRIPTIVES VARIABLES=thinkingstyle Stateanxiety Traitanxiety

/STATISTICS=MEAN VARIANCE SKEWNESS.

Descriptives

Descriptive Statistics

N

Mean

Variance

Skewness

Statistic

Statistic

Statistic

Statistic

Std. Error

thinkingstyle

60

1.5000

.559

1.132

.309

Stateanxiety

60

52.3000

37.434

.703

.309

Traitanxiety

60

54.0000

48.983

-.243

.309

Valid N (listwise)

60

Above table shows mean greater than median means that the variables are independetly distributed.

ONEWAY Stateanxiety Traitanxiety BY thinkingstyle

/MISSING ANALYSIS.

Oneway ANOVA

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Stateanxiety

Between Groups

24.709

2

12.354

.322

.726

Within Groups

2183.891

57

38.314

Total

2208.600

59

Traitanxiety

Between Groups

152.092

2

76.046

1.583

.214

Within Groups

2737.908

57

48.033

Total

2890.000

59

Analysis of variance shows that .021 and .726 are greater than p value so we will reject our null hypothesis and conclude that there is both the variables are significant at 0.05% level of significance.

NPar Tests

Descriptive Statistics

N

Mean

Std. Deviation

Minimum

Maximum

Stateanxiety

60

52.3000

6.11832

41.00

74.00

Traitanxiety

60

54.0000

6.99879

37.00

68.00

Test Statistics

Stateanxiety

Traitanxiety

Chi-Square

22.967a

50.400b

df

18

22

Asymp. Sig.

.192

.001

a. 19 cells (100.0%) have expected frequencies less than 5. The minimum expected cell frequency is 3.2.

b. 23 cells (100.0%) have expected frequencies less than 5. The minimum expected cell frequency is 2.6.

Chi-square value calculated from data is 50.400 which is greater than p-value.

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA CHANGE

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT thinkingstyle

/METHOD=ENTER Stateanxiety Traitanxiety

/RESIDUALS NORM(ZRESID).

Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

1

Traitanxiety, Stateanxietya

.

Enter

a. All requested variables entered.

b. Dependent Variable: thinkingstyle

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

.074

2

.037

.064

.938a

Residual

32.926

57

.578

Total

33.000

59

a. Predictors: (Constant), Traitanxiety, Stateanxiety

b. Dependent Variable: thinkingstyle

There is a positive reltionship and dependence b/w both the variales.

Residuals Statisticsa

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

1.4313

1.6089

1.5000

.03553

60

Residual

-.60886

1.51210

.00000

.74703

60

Std. Predicted Value

-1.933

3.064

.000

1.000

60

Std. Residual

-.801

1.990

.000

.983

60

a. Dependent Variable: thinkingstyle

GRAPH

/SCATTERPLOT(BIVAR)=Traitanxiety WITH Stateanxiety BY thinkingstyle

/MISSING=LISTWISE.

Scatter plot

There is no proper shape of distribution to be followed but majority of points fall near to centre diagonal so we can use normal distribution.

CORRELATIONS

/VARIABLES=Stateanxiety ...