+1443 776-2705 panelessays@gmail.com

2-3 pages statistics interpretation

Page 32

Notes

Output Created 19-SEP-2017 17:02:54

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Syntax CROSSTABS

/TABLES=RESIDENCY_PR
OGRAM BY
Resident_Year
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESIDENCY_PROGRAM * 2 9 8 100.0% 0 0.0% 2 9 8 100.0%
Resident_Year

Page 33

1 6

21.6%

5.4%

2 7

36.5%

9.1%

1 2

16.2%

4.0%

0

0.0%

0.0%

1 9

25.7%

6.4%

7 4

100.0%

24.8%

RESIDENCY_PROGRAM * Resident_Year Crosstabulation

RESIDENCY_PROGRAM Civilian Family Medicine Count

Resident_Year

3rd year
resident

1 8

% within Resident_Year 15.3%

% of Total 6.0%

Miltary Family Medicine Count 1 4

% within Resident_Year 11.9%

% of Total 4.7%

Civilian Internal Medicine Count 7 6

% within Resident_Year 64.4%

% of Total 25.5%

Military Internal Medicine Count 2

% within Resident_Year 1.7%

% of Total 0.7%

Psychiatry Count 8

% within Resident_Year 6.8%

% of Total 2.7%

Total Count 1 1 8

% within Resident_Year 100.0%

% of Total 39.6%

RESIDENCY_PROGRAM * Resident_Year Crosstabulation

1 4

13.2%

4.7%

9

8.5%

3.0%

5 8

54.7%

19.5%

2 5

23.6%

8.4%

0

0.0%

0.0%

1 0 6

100.0%

35.6%

Page 34

RESIDENCY_PROGRAM Civilian Family Medicine Count

Resident_Year

4th year
resident

1 6

% within Resident_Year 21.6%

% of Total 5.4%

Miltary Family Medicine Count 2 7

% within Resident_Year 36.5%

% of Total 9.1%

Civilian Internal Medicine Count 1 2

% within Resident_Year 16.2%

% of Total 4.0%

Military Internal Medicine Count 0

% within Resident_Year 0.0%

% of Total 0.0%

Psychiatry Count 1 9

% within Resident_Year 25.7%

% of Total 6.4%

Total Count 7 4

% within Resident_Year 100.0%

% of Total 24.8%

4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

Page 35

RESIDENCY_PROGRAM * Resident_Year Crosstabulation

Resident_Year

5th year

RESIDENCY_PROGRAM Civilian Family Medicine Count

% within Resident_Year

% of Total

resident

1 4

13.2%

4.7%

Miltary Family Medicine Count

% within Resident_Year

% of Total

9

8.5%

3.0%

Civilian Internal Medicine Count

% within Resident_Year

% of Total

5 8

54.7%

19.5%

Military Internal Medicine Count

% within Resident_Year

% of Total

2 5

23.6%

8.4%

Psychiatry Count

% within Resident_Year

% of Total

0

0.0%

0.0%

Total Count

% within Resident_Year

% of Total

1 0 6

100.0%

35.6%

Page 36

RESIDENCY_PROGRAM * Resident_Year Crosstabulation

RESIDENCY_PROGRAM Civilian Family Medicine Count

Total

4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

% within Resident_Year

% of Total

Miltary Family Medicine Count

% within Resident_Year

% of Total

Civilian Internal Medicine Count

% within Resident_Year

% of Total

Military Internal Medicine Count

% within Resident_Year

% of Total

Psychiatry Count

% within Resident_Year

% of Total

Total Count

% within Resident_Year

% of Total

Chi-Square Tests

Value df

Asymptotic
Significance

(2-sided)

Pearson Chi-Square 119.109 a 8 . 0 0 0

Likelihood Ratio 125.820 8 . 0 0 0

Linear-by-Linear
Association

1 . 1 0 7 1 . 2 9 3

N of Valid Cases 2 9 8

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 6.70.

Symmetric Measures

Value
Approximate
Significance

Nominal by Nominal Phi . 6 3 2 . 0 0 0

Cramer’s V . 4 4 7 . 0 0 0

N of Valid Cases 2 9 8

Page 37

CROSSTABS
/TABLES=RESIDENCY_PROGRAM BY GENDER
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ PHI
/CELLS=COUNT COLUMN TOTAL
/COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working
Data File

Missing Value Handling Definition of Missing

Cases Used

19-SEP-2017 17:03:13

/Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

DataSet1

< n o n e >

< n o n e >

< n o n e >

2 9 8

User-defined missing
values are treated as
missing.

Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Notes

Syntax CROSSTABS

/TABLES=RESIDENCY_PR
OGRAM BY GENDER
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESIDENCY_PROGRAM * 2 9 8 100.0% 0 0.0% 2 9 8 100.0%
GENDER

Page 38

Page 39

RESIDENCY_PROGRAM * GENDER Crosstabulation

GENDER

Female Male

RESIDENCY_PROGRAM Civilian Family Medicine Count 3 4 1 4

% within GENDER 23.0% 9.3%

% of Total 11.4% 4.7%

Miltary Family Medicine Count 2 0 3 0

% within GENDER 13.5% 20.0%

% of Total 6.7% 10.1%

Civilian Internal Medicine Count 7 2 7 4

% within GENDER 48.6% 49.3%

% of Total 24.2% 24.8%

Military Internal Medicine Count 6 2 1

% within GENDER 4.1% 14.0%

% of Total 2.0% 7.0%

Psychiatry Count 1 6 1 1

% within GENDER 10.8% 7.3%

% of Total 5.4% 3.7%

Total Count 1 4 8 1 5 0

% within GENDER 100.0% 100.0%

% of Total 49.7% 50.3%

4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

Page 40

RESIDENCY_PROGRAM * GENDER Crosstabulation

Total

RESIDENCY_PROGRAM Civilian Family Medicine Count 4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

% within GENDER

% of Total

Miltary Family Medicine Count

% within GENDER

% of Total

Civilian Internal Medicine Count

% within GENDER

% of Total

Military Internal Medicine Count

% within GENDER

% of Total

Psychiatry Count

% within GENDER

% of Total

Total Count

% within GENDER

% of Total

Chi-Square Tests

Value df

Pearson Chi-Square 19.607 a 4

Likelihood Ratio 20.378 4

Linear-by-Linear 3 . 4 5 0 1
Association

N of Valid Cases 2 9 8

a. 0 cells (0.0%) have expected count less than 5

Asymptotic
Significance

(2-sided)

. 0 0 1

. 0 0 0

. 0 6 3

. The minimum expected count is 13.41.

Symmetric Measures

Approximate
Value Significance

Nominal by Nominal Phi . 2 5 7 . 0 0 1

Cramer’s V . 2 5 7 . 0 0 1

N of Valid Cases 2 9 8

Page 41

CROSSTABS
/TABLES=RESIDENCY_PROGRAM BY RACE
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ PHI
/CELLS=COUNT COLUMN TOTAL
/COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working
Data File

Missing Value Handling Definition of Missing

Cases Used

19-SEP-2017 17:03:28

/Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

DataSet1

< n o n e >

< n o n e >

< n o n e >

2 9 8

User-defined missing
values are treated as
missing.

Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Notes

Syntax CROSSTABS

/TABLES=RESIDENCY_PR
OGRAM BY RACE
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESIDENCY_PROGRAM * 2 9 8 100.0% 0 0.0% 2 9 8 100.0%
RACE

Page 42

2

25.0%

0.7%

2

25.0%

0.7%

3

37.5%

1.0%

0

0.0%

0.0%

1

12.5%

0.3%

8

100.0%

2.7%

Page 43

RESIDENCY_PROGRAM * RACE Crosstabulation

RACE

Other_Mixed

RESIDENCY_PROGRAM Civilian Family Medicine Count 4

% within RACE 44.4%

% of Total 1.3%

Asian

1 1

12.0%

3.7%

Miltary Family Medicine Count 1

% within RACE 11.1%

% of Total 0.3%

9

9.8%

3.0%

Civilian Internal Medicine Count 3

% within RACE 33.3%

% of Total 1.0%

6 0

65.2%

20.1%

Military Internal Medicine Count 0

% within RACE 0.0%

% of Total 0.0%

6

6.5%

2.0%

Psychiatry Count 1

% within RACE 11.1%

% of Total 0.3%

6

6.5%

2.0%

Total Count 9

% within RACE 100.0%

% of Total 3.0%

9 2

100.0%

30.9%

RESIDENCY_PROGRAM * RACE Crosstabulation

RACE

African
American

RESIDENCY_PROGRAM Civilian Family Medicine Count 2

% within RACE 25.0%

% of Total 0.7%

Caucasian

3 1

16.4%

10.4%

Miltary Family Medicine Count 2

% within RACE 25.0%

% of Total 0.7%

3 8

20.1%

12.8%

Civilian Internal Medicine Count 3

% within RACE 37.5%

% of Total 1.0%

8 0

42.3%

26.8%

Military Internal Medicine Count 0

% within RACE 0.0%

% of Total 0.0%

2 1

11.1%

7.0%

Psychiatry Count 1

% within RACE 12.5%

% of Total 0.3%

1 9

10.1%

6.4%

Total Count 8

% within RACE 100.0%

% of Total 2.7%

1 8 9

100.0%

63.4%

4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

Page 44

Page 45

RESIDENCY_PROGRAM * RACE Crosstabulation

RESIDENCY_PROGRAM Civilian Family Medicine Count

Total

4 8

16.1%

16.1%

5 0

16.8%

16.8%

1 4 6

49.0%

49.0%

2 7

9.1%

9.1%

2 7

9.1%

9.1%

2 9 8

100.0%

100.0%

% within RACE

% of Total

Miltary Family Medicine Count

% within RACE

% of Total

Civilian Internal Medicine Count

% within RACE

% of Total

Military Internal Medicine Count

% within RACE

% of Total

Psychiatry Count

% within RACE

% of Total

Total Count

% within RACE

% of Total

Chi-Square Tests

Value df

Pearson Chi-Square 21.700 a 1 2

Likelihood Ratio 21.949 1 2

Linear-by-Linear . 0 2 9 1
Association

N of Valid Cases 2 9 8

a. 10 cells (50.0%) have expected count less tha

Asymptotic
Significance

(2-sided)

. 0 4 1

. 0 3 8

. 8 6 5

n 5. The minimum expected count is .72.

Symmetric Measures

Approximate
Value Significance

Nominal by Nominal Phi . 2 7 0 . 0 4 1

Cramer’s V . 1 5 6 . 0 4 1

N of Valid Cases 2 9 8

CROSSTABS
/TABLES=Resident_Year BY GENDER
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ PHI
/CELLS=COUNT COLUMN TOTAL
/COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working
Data File

Missing Value Handling Definition of Missing

Cases Used

19-SEP-2017 17:03:43

/Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

DataSet1

< n o n e >

< n o n e >

< n o n e >

2 9 8

User-defined missing
values are treated as
missing.

Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Page 46

Page 47

Notes

Syntax CROSSTABS

/TABLES=Resident_Year
BY GENDER
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Resident_Year * GENDER 2 9 8 100.0% 0 0.0% 2 9 8 100.0%

Resident_Year * GENDER Crosstabulation

GENDER

Female Male Total

Resident_Year 3rd year resident Count 6 2 5 6 1 1 8

% within GENDER 41.9% 37.3% 39.6%

% of Total 20.8% 18.8% 39.6%

4th year resident Count 3 9 3 5 7 4

% within GENDER 26.4% 23.3% 24.8%

% of Total 13.1% 11.7% 24.8%

5th year resident Count 4 7 5 9 1 0 6

% within GENDER 31.8% 39.3% 35.6%

% of Total 15.8% 19.8% 35.6%

Total Count 1 4 8 1 5 0 2 9 8

% within GENDER 100.0% 100.0% 100.0%

% of Total 49.7% 50.3% 100.0%

Chi-Square Tests

Value df

Asymptotic
Significance

(2-sided)

Pearson Chi-Square 1 . 8 6 6 a 2 . 3 9 3

Likelihood Ratio 1 . 8 7 0 2 . 3 9 3

Linear-by-Linear
Association

1 . 4 5 8 1 . 2 2 7

N of Valid Cases 2 9 8

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 36.75.

Symmetric Measures

Value
Approximate
Significance

Nominal by Nominal Phi

Cramer’s V

N of Valid Cases

. 0 7 9 . 3 9 3

. 0 7 9 . 3 9 3

2 9 8

CROSSTABS
/TABLES=Resident_Year BY RACE
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ PHI
/CELLS=COUNT COLUMN TOTAL
/COUNT ROUND CELL.

Crosstabs

Page 48

Page 49

Notes

Output Created 19-SEP-2017 17:03:52

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Syntax CROSSTABS

/TABLES=Resident_Year
BY RACE
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Resident_Year * RACE 2 9 8 100.0% 0 0.0% 2 9 8 100.0%

Resident_Year * RACE Crosstabulation

RACE

Resident_Year

Total

Other_Mixed Asian

3rd year resident Count 3 3 8

African
American

3

% within RACE 33.3% 41.3% 37.5%

% of Total 1.0% 12.8% 1.0%

4th year resident Count 4 1 4 3

% within RACE 44.4% 15.2% 37.5%

% of Total 1.3% 4.7% 1.0%

5th year resident Count 2 4 0 2

% within RACE 22.2% 43.5% 25.0%

% of Total 0.7% 13.4% 0.7%

Count 9 9 2 8

% within RACE 100.0% 100.0% 100.0%

% of Total 3.0% 30.9% 2.7%

Resident_Year * RACE Crosstabulation

RACE

Resident_Year

Total

Caucasian Total

3rd year resident Count 7 4 1 1 8

% within RACE 39.2% 39.6%

% of Total 24.8% 39.6%

4th year resident Count 5 3 7 4

% within RACE 28.0% 24.8%

% of Total 17.8% 24.8%

5th year resident Count 6 2 1 0 6

% within RACE 32.8% 35.6%

% of Total 20.8% 35.6%

Count 1 8 9 2 9 8

% within RACE 100.0% 100.0%

% of Total 63.4% 100.0%

7 4

39.2%

24.8%

5 3

28.0%

17.8%

6 2

32.8%

20.8%

1 8 9

100.0%

63.4%

Page 50

Chi-Square Tests

Value df

Asymptotic
Significance

(2-sided)

Pearson Chi-Square 9 . 0 2 2 a 6 . 1 7 2

Likelihood Ratio 9 . 2 1 3 6 . 1 6 2

Linear-by-Linear
Association

. 3 4 9 1 . 5 5 5

N of Valid Cases 2 9 8

a. 6 cells (50.0%) have expected count less than 5. The minimum expected count is 1.99.

Symmetric Measures

Value
Approximate
Significance

Nominal by Nominal Phi

Cramer’s V

N of Valid Cases

. 1 7 4 . 1 7 2

. 1 2 3 . 1 7 2

2 9 8

CROSSTABS
/TABLES=GENDER BY RACE
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ PHI
/CELLS=COUNT COLUMN TOTAL
/COUNT ROUND CELL.

Crosstabs

Page 51

Page 52

Notes

Output Created 19-SEP-2017 17:04:09

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each table
are based on all the
cases with valid data in
the specified range(s)
for all variables in each
table.

Syntax CROSSTABS
/TABLES=GENDER BY
RACE
/FORMAT=AVALUE
TABLES
/STATISTICS=CHISQ
PHI
/CELLS=COUNT
COLUMN TOTAL
/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

GENDER * RACE 2 9 8 100.0% 0 0.0% 2 9 8 100.0%

Page 53

GENDER * RACE Crosstabulation

RACE

African
Other_Mixed Asian American Caucasian

GENDER

Total

Female Count 6 4 8 6 8 8

% within RACE 66.7% 52.2% 75.0% 46.6%

% of Total 2.0% 16.1% 2.0% 29.5%

Male Count 3 4 4 2 1 0 1

% within RACE 33.3% 47.8% 25.0% 53.4%

% of Total 1.0% 14.8% 0.7% 33.9%

Count 9 9 2 8 1 8 9

% within RACE 100.0% 100.0% 100.0% 100.0%

% of Total 3.0% 30.9% 2.7% 63.4%

1 4 8

49.7%

49.7%

1 5 0

50.3%

50.3%

2 9 8

100.0%

100.0%

GENDER * RACE Crosstabulation

Total

GENDER Female Count 1 4 8

49.7%

49.7%

1 5 0

50.3%

50.3%

2 9 8

100.0%

100.0%

% within RACE

% of Total

Male Count

% within RACE

% of Total

Total Count

% within RACE

% of Total

Chi-Square Tests

Value df

Asymptotic
Significance

(2-sided)

Pearson Chi-Square 4 . 0 5 5 a 3 . 2 5 6

Likelihood Ratio 4 . 1 6 8 3 . 2 4 4

Linear-by-Linear
Association

1 . 7 0 0 1 . 1 9 2

N of Valid Cases 2 9 8

a. 4 cells (50.0%) have expected count less than 5. The minimum expected count is 3.97.

Symmetric Measures

Approximate
Value Significance

Nominal by Nominal Phi . 1 1 7 . 2 5 6

Cramer’s V . 1 1 7 . 2 5 6

N of Valid Cases 2 9 8

T-TEST PAIRS=CONFIDENCE1 KNOWLEDGE1 WITH CONFIDENCE2 KNOWLEDGE2 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.

T – T e s t

Notes

Output Created 19-SEP-2017 17:04:58

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User defined missing
values are treated as
missing.

Cases Used Statistics for each
analysis are based on
the cases with no
missing or out-of-range
data for any variable in
the analysis.

Syntax T-TEST
PAIRS=CONFIDENCE1
KNOWLEDGE1 WITH
CONFIDENCE2
KNOWLEDGE2 (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Page 54

Page 55

Paired Samples Statistics

Mean N Std. Deviation
Std. Error

Mean

Pair 1 CONFIDENCE1 2 . 9 0 2 9 8 . 7 9 3 . 0 4 6

CONFIDENCE2 3 . 6 1 2 9 8 . 5 1 7 . 0 3 0

Pair 2 KNOWLEDGE1 2 2 . 9 5 2 9 8 3 . 5 1 7 . 2 0 4

KNOWLEDGE2 2 5 . 9 1 2 9 8 2 . 9 3 2 . 1 7 0

Paired Samples Correlations

N Correlation Sig.

Pair 1 CONFIDENCE1 &
CONFIDENCE2

2 9 8 . 6 2 9 . 0 0 0

Pair 2 KNOWLEDGE1 &
KNOWLEDGE2

2 9 8 . 5 9 4 . 0 0 0

Paired Samples Test

Pair 1

Pair 2

CONFIDENCE1 –
CONFIDENCE2

Paired Differences

Std. Error
Mean Std. Deviation Mean

– . 7 1 0 . 6 1 7 . 0 3 6

95%
Confidence …

Lower

– . 7 8 0

KNOWLEDGE1 –
KNOWLEDGE2

– 2 . 9 6 1 2 . 9 5 1 . 1 7 1 – 3 . 2 9 7

– . 6 3 9

– 2 . 6 2 4

Paired Samples Test

Paired …

95% Confidence
Interval of the …

Pair 1 CONFIDENCE1 –
CONFIDENCE2

Upper t

– . 6 3 9 – 1 9 . 8 5 4

df

2 9 7

Sig. (2-tailed)

. 0 0 0

. 0 0 0Pair 2 KNOWLEDGE1 –
KNOWLEDGE2

– 2 . 6 2 4 – 1 7 . 3 1 9 2 9 7

NPAR TESTS
/WILCOXON=CONFIDENCE1 KNOWLEDGE1 WITH CONFIDENCE2 KNOWLEDGE2 (PAIRED)
/MISSING ANALYSIS.

NPar Tests

Page 56

Notes

Output Created 19-SEP-2017 17:05:40

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each test
are based on all cases
with valid data for the
variable(s) used in that
test.

Syntax NPAR TESTS

/WILCOXON=CONFIDEN
CE1 KNOWLEDGE1 WITH
CONFIDENCE2
KNOWLEDGE2 (PAIRED)
/MISSING ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Number of Cases Alloweda 3 4 9 5 2 5

a. Based on availability of workspace memory.

Wilcoxon Signed Ranks Test

Page 57

Ranks

N Mean Rank Sum of Ranks

CONFIDENCE2 –
CONFIDENCE1

Negative Ranks 2 7a 6 6 . 5 2 1796.00

Positive Ranks 2 6 9 b 156.73 42160.00

Ties 2 c

Total 2 9 8

KNOWLEDGE2 –
KNOWLEDGE1

Negative Ranks 3 4d 8 6 . 7 5 2949.50

Positive Ranks 2 5 1 e 150.62 37805.50

Ties 1 3f

Total 2 9 8

a. CONFIDENCE2 < CONFIDENCE1

b. CONFIDENCE2 > CONFIDENCE1

c. CONFIDENCE2 = CONFIDENCE1

d. KNOWLEDGE2 < KNOWLEDGE1

e. KNOWLEDGE2 > KNOWLEDGE1

f. KNOWLEDGE2 = KNOWLEDGE1

Test Statisticsa

CONFIDENCE2

CONFIDENCE1

KNOWLEDGE2

KNOWLEDGE1

Z – 1 3 . 6 9 4 b – 1 2 . 5 2 3 b

Asymp. Sig. (2-tailed) . 0 0 0 . 0 0 0

a. Wilcoxon Signed Ranks Test

b. Based on negative ranks.

T-TEST GROUPS=GENDER(0 1)
/MISSING=ANALYSIS
/VARIABLES=DCONF DKNOW
/CRITERIA=CI(.95).

T – T e s t

Notes

Output Created 19-SEP-2017 17:06:57

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User defined missing
values are treated as
missing.

Cases Used Statistics for each
analysis are based on
the cases with no
missing or out-of-range
data for any variable in
the analysis.

Syntax T-TEST
GROUPS=GENDER(0 1)
/MISSING=ANALYSIS
/VARIABLES=DCONF
DKNOW
/CRITERIA=CI(.95).

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Group Statistics

GENDER N Mean Std. Deviation
Std. Error

Mean

DCONF Female 1 4 8 . 7 6 . 6 5 7 . 0 5 4

Male 1 5 0 . 6 6 . 5 7 4 . 0 4 7

DKNOW Female 1 4 8 3 . 1 2 2 . 7 1 6 . 2 2 3

Male 1 5 0 2 . 8 0 2 . 9 5 9 . 2 4 2

Page 58

. 2 0 3

. 2 0 3

. 3 3 3

. 3 3 3

. 2 3 2

. 2 3 2

. 9 6 7

. 9 6 7

Page 59

Independent Samples Test

Levene’s Test for Equality of
Variances

t-test for Equality of
Means

DCONF

DKNOW

F Sig.

Equal variances assumed . 5 0 9 . 4 7 6

t df

1 . 2 7 7 2 9 6

Equal variances not
assumed

1 . 2 7 6 289.705

Equal variances assumed 1 . 2 3 2 . 2 6 8 . 9 7 0 2 9 6

Equal variances not
assumed

. 9 7 0 294.466

Independent Samples Test

DCONF

t-test for Equality of Means

Mean Std. Error
Sig. (2-tailed) Difference Difference

Equal variances assumed . 2 0 3 . 0 9 1 . 0 7 1

95%
Confidence …

Lower

– . 0 4 9

Equal variances not
assumed

. 2 0 3 . 0 9 1 . 0 7 1 – . 0 4 9

DKNOW Equal variances assumed . 3 3 3 . 3 1 9 . 3 2 9 – . 3 2 9

Equal variances not
assumed

. 3 3 3 . 3 1 9 . 3 2 9 – . 3 2 8

Independent Samples Test

t-test for
Equality of …

95% Confidence
Interval of the …

DCONF

Upper

Equal variances assumed . 2 3 2

Equal variances not . 2 3 2

DKNOW

assumed

Equal variances assumed

Equal variances not

. 9 6 7

. 9 6 7
assumed

NPAR TESTS
/M-W= DCONF DKNOW BY GENDER(0 1)
/MISSING ANALYSIS.

NPar Tests

Notes

Output Created 19-SEP-2017 17:08:26

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each test
are based on all cases
with valid data for the
variable(s) used in that
test.

Syntax NPAR TESTS
/M-W= DCONF
DKNOW BY GENDER(0
1)
/MISSING ANALYSIS.

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Number of Cases Alloweda 3 9 3 2 1 6

a. Based on availability of workspace memory.

Mann-Whitney Test

Page 60

Page 61

Ranks

GENDER N Mean Rank Sum of Ranks

DCONF Female 1 4 8 158.03 23388.00

Male 1 5 0 141.09 21163.00

Total 2 9 8

DKNOW Female 1 4 8 155.20 22969.50

Male 1 5 0 143.88 21581.50

Total 2 9 8

Test Statisticsa

DCONF DKNOW

Mann-Whitney U 9838.000 10256.500

Wilcoxon W 21163.000 21581.500

Z – 1 . 6 9 7 – 1 . 1 3 6

Asymp. Sig. (2-tailed) . 0 9 0 . 2 5 6

a. Grouping Variable: GENDER

EXAMINE VARIABLES=DCONF DKNOW BY GENDER
/PLOT BOXPLOT
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

Explore

Notes

Output Created 19-SEP-2017 17:09:56

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values for dependent
variables are treated as
missing.

Cases Used Statistics are based on
cases with no missing
values for any
dependent variable or
factor used.

Syntax EXAMINE
VARIABLES=DCONF
DKNOW BY GENDER
/PLOT BOXPLOT
/COMPARE GROUPS
/STATISTICS
DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

Resources Processor Time 00:00:00.53

Elapsed Time 00:00:00.00

GENDER

Case Processing Summary

GENDER

Cases

Valid Missing Total

N Percent N Percent N Percent

DCONF Female

Male

DKNOW Female

Male

1 4 8 100.0% 0 0.0% 1 4 8 100.0%

1 5 0 100.0% 0 0.0% 1 5 0 100.0%

1 4 8 100.0% 0 0.0% 1 4 8 100.0%

1 5 0 100.0% 0 0.0% 1 5 0 100.0%

Page 62

Page 63

Descriptives

GENDER Statistic Std. Error

DCONF Female Mean . 7 6 . 0 5 4

95% Confidence Interval
for Mean

Lower Bound . 6 5

Upper Bound . 8 6

5% Trimmed Mean . 7 5

Median . 7 7

Variance . 4 3 1

Std. Deviation . 6 5 7

Minimum – 2

Maximum 4

Range 6

Interquartile Range 1

Skewness . 1 6 1 . 1 9 9

Kurtosis 3 . 7 6 5 . 3 9 6

Male Mean . 6 6 . 0 4 7

95% Confidence Interval
for Mean

Lower Bound . 5 7

Upper Bound . 7 6

5% Trimmed Mean . 6 5

Median . 6 4

Variance . 3 2 9

Std. Deviation . 5 7 4

Minimum – 1

Maximum 3

Range 4

Interquartile Range 1

Skewness . 4 0 2 . 1 9 8

Kurtosis 1 . 6 0 1 . 3 9 4

DKNOW Female Mean 3 . 1 2 . 2 2 3

95% Confidence Interval
for Mean

Lower Bound 2 . 6 8

Upper Bound 3 . 5 6

5% Trimmed Mean 3 . 1 4

Median 3 . 0 0

Variance 7 . 3 7 7

Std. Deviation 2 . 7 1 6

Minimum – 4

Maximum 1 0

Range 1 4

Interquartile Range 4

– . 1 2 8 . 1 9 9

Descriptives

GENDER Statistic Std. Error

Male

Skewness – . 1 2 8 . 1 9 9

Kurtosis . 4 0 1 . 3 9 6

Mean 2 . 8 0 . 2 4 2

95% Confidence Interval
for Mean

Lower Bound 2 . 3 2

Upper Bound 3 . 2 8

5% Trimmed Mean 2 . 7 7

Median 2 . 9 3

Variance 8 . 7 5 9

Std. Deviation 2 . 9 5 9

Minimum – 4

Maximum 1 0

Range 1 4

Interquartile Range 4

Skewness . 0 7 7 . 1 9 8

Kurtosis . 0 1 4 . 3 9 4

DKNOW Female

DCONF

Page 64

GENDER

MaleFemale

D
C

O
N

F
4

3

2

1

0

– 1

– 2

2 4 3

1 1 9

2 6 9

1 7 7
1 4 3

3 2

2 9

DKNOW

Page 65

GENDER

MaleFemale

D
K

N
O

W
1 0 . 0

7 . 5

5 . 0

2 . 5

. 0

– 2 . 5

3 6
1 1 4

1 1 9

ONEWAY DCONF DKNOW BY RESIDENCY_PROGRAM
/STATISTICS DESCRIPTIVES HOMOGENEITY
/PLOT MEANS
/MISSING ANALYSIS
/POSTHOC=TUKEY ALPHA(0.05).

Oneway

Page 66

Page 67

Notes

Output Created 19-SEP-2017 17:12:03

Comments

Input Data /Users/Rick/Desktop/PU
B4009/spss/final
analysis residents.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working
Data File

2 9 8

Missing Value Handling Definition of Missing User-defined missing
values are treated as
missing.

Cases Used Statistics for each
analysis are based on
cases with no missing
data for any variable in
the analysis.

Syntax ONEWAY DCONF
DKNOW BY
RESIDENCY_PROGRAM
/STATISTICS
DESCRIPTIVES
HOMOGENEITY
/PLOT MEANS
/MISSING ANALYSIS
/POSTHOC=TUKEY
ALPHA(0.05).

Resources Processor Time 00:00:00.37

Elapsed Time 00:00:00.00

Descriptives

DCONF

DKNOW

Civilian Family Medicine

N Mean

4 8 . 7 2

Std. Deviation

. 4 9 4

Std. Error

. 0 7 1

Miltary Family Medicine 5 0 . 9 8 . 8 3 9 . 1 1 9

Civilian Internal Medicine 1 4 6 . 6 1 . 5 7 1 . 0 4 7

Military Internal Medicine 2 7 . 5 4 . 4 8 0 . 0 9 2

Psychiatry 2 7 . 9 2 . 5 0 3 . 0 9 7

Total 2 9 8 . 7 1 . 6 1 7 . 0 3 6

Civilian Family Medicine 4 8 3 . 2 3 2 . 5 2 6 . 3 6 5

Miltary Family Medicine 5 0 3 . 4 0 3 . 3 0 0 . 4 6 7

Civilian Internal Medicine 1 4 6 2 . 7 2 2 . 6 9 4 . 2 2 3

Military Internal Medicine 2 7 2 . 8 6 2 . 9 4 0 . 5 6 6

Psychiatry 2 7 3 . 0 4 3 . 1 9 0 . 6 1 4

Total 2 9 8 2 . 9 6 2 . 8 4 1 . 1 6 5

. 5 8

. 7 4

. 5 1

. 3 5

. 7 2

. 6 4

2 . 5 0

2 . 4 6

2 . 2 8

1 . 7 0

1 . 7 8

2 . 6 3

Page 68

Descriptives

95% Confidence Interval for
Mean

DCONF Civilian Family Medicine

Lower Bound Upper Bound

. 5 8 . 8 6

Minimum

– 1

Maximum

2

4

3

2

2

4

8

1 0

1 0

1 0

1 0

1 0

Miltary Family Medicine . 7 4 1 . 2 2 – 2

Civilian Internal Medicine . 5 1 . 7 0 – 1

Military Internal Medicine . 3 5 . 7 3 0

Psychiatry . 7 2 1 . 1 2 0

Total . 6 4 . 7 8 – 2

DKNOW Civilian Family Medicine 2 . 5 0 3 . 9 7 – 4

Miltary Family Medicine 2 . 4 6 4 . 3 3 – 4

Civilian Internal Medicine 2 . 2 8 3 . 1 6 – 4

Military Internal Medicine 1 . 7 0 4 . 0 3 – 3

Psychiatry 1 . 7 8 4 . 3 0 – 2

Total 2 . 6 3 3 . 2 8 – 4

Test of Homogeneity of Variances

Levene
Statistic df1 df2 Sig.

DCONF 1 . 4 7 8 4 2 9 3 . 2 0 9

DKNOW 1 . 2 4 8 4 2 9 3 . 2 9 1

ANOVA

Sum of
Squares df Mean Square F Sig.

DCONF Between Groups 7 . 2 2 3 4 1 . 8 0 6 5 . 0 0 0 . 0 0 1

Within Groups 105.821 2 9 3 . 3 6 1

Total 113.044 2 9 7

DKNOW Between Groups 21.988 4 5 . 4 9 7 . 6 7 8 . 6 0 8

Within Groups 2375.105 2 9 3 8 . 1 0 6

Total 2397.094 2 9 7

Tukey HSD

. 1 2 1

. 1 0 0

. 1 4 5

. 1 4 5

. 1 2 1

. 0 9 8

. 1 4 4

. 1 4 4

. 1 0 0

. 0 9 8

. 1 2 6

. 1 2 6

. 1 4 5

. 1 4 4

– . 0 6 4 . 1 2 6

Tukey HSD

Tukey HSD

Page 69

Post Hoc Tests

Multiple Comparisons

Tukey …

Hypothesis Testing: Grouped Inferential Statistics



Overview

In this assignment, you will perform hypothesis testing on grouped data related to the SPSS output you used in the Unit 3 assignment. Based on the data in the following scenario, choose and interpret appropriate inferential statistical analysis.


Scenario

The program coordinators need to make a report to the stakeholders and asked you to provide information about the data collected. You evaluated the data for validation, and now you need to run analyses to determine if there are differences in the following:

· Residency program and the year of resident in the program.

· Residency program and gender.

· Residency program and race.

· Resident year and gender.

· Resident year and race.

· Gender and year.

· Did knowledge and confidence change as a result of the training?

· If knowledge and confidence changed, were there differences in the change based on gender?

· Was there a difference in the change in knowledge and confidence based on the residency?


Instructions for the Assignment

Create a 2–3 page report interpreting the results from the above scenario. Use the Data Description document and the Unit 6 SPSS Output report [PDF], listed in Resources.

To successfully complete this assignment, you must be able to demonstrate the following:

· Describe the statistical tests that were used to compare variables when analyzing by groups.

· Determine if the data in the analyses are normally distributed.

· Identify the type of data and errors (if any) in the data sets.

· Use the SPSS cross tabs to identify contingencies (the nature of the relationship between categories).

· Interpret statistical analyses when comparing two groups or more than two groups.

· Describe the results and align the data with the test that was used.

· Summarize the results of the statistical analyses. Note: Remember to address where the data differ (or do not differ) and the reporting of the statistical results.


Additional Requirements

In addition to the criteria in the Scoring Guide, you must also ensure your assignment meets the following requirements:

· Page count: Your assignment must be 2–3 double-spaced pages in length (not including a cover page or reference page).

· Font and font size: Times New Roman, 12 point.

· APA formatting: Resources and citations are formatted according to current APA style and formatting.

· Number of references: Cite at least one peer-reviewed resource.

Submit your document as an attachment to this assignment.


Resources


· Hypothesis Testing: Grouped Inferential Statistics Scoring Guide.

· Data Description [DOC].

· Unit 6 SPSS Output [PDF].