Data Screening
Running head: DATA SCREENING 1
Data Screening Output: Religiosity Research Group II
Gianna LaTrice Jackson, Lawanda Nodestine-Henry and Cesar Pajarillo
Liberty University
DATA SCREENING 2
Data Screening Output: Religiosity Research Group II
An independent-samples t test was performed to assess whether there was a difference in
attitudes about God in the mean Religious and Spiritual Struggles – Divine scores and Beliefs
about God. The dependent variable was individual attitudes about God. Significant difference
was not noted in the scores for I believe there is a God (M=1.60, SD=0.96) and I used to believe
there was a God but do not anymore (M=1.17, SD=0.67) conditions; t (450) =4.07, p=0.00.
These results suggest that attitudes about God do have an effect on an individual’s beliefs about
God. The initial screening of the data indicated that N = 637 participants. There was N= 98
missing data for the variable RSS-Divine Struggles. The two categorical variables were
“Religious and Spiritual Struggles – Divine” as a quantitative variable and “Describe Your Belief
in God” as a categorical variable. A frequency distribution was conducted for the two variables to
determine the percentage of the scores on each of the values. A bar chart, box plot and
descriptive statistics was conducted. Frequency distribution for Belief in God noted that 55.4%
(353 individuals) believe that there is a God while 13.7% believes sometimes there is a God. The
ranges noted were 13.7 to 55.4%. RSS-Divine Struggles ranged from 0.2 to 59.6 and the majority
of the participant selected “1” as their top choice. Descriptive statistics was used to assess Belief
of God (M = 1.91, SD = 1.15) and Religious and Spiritual Struggles – Divine (M = 1.58, SD =
0.96). The boxplot was used to detect extreme scores, outliners, ceiling and floor effects; the
results were not meaningful because the scales appeared to be none comparable. There were
several outliners for “I use to believe there was a God but do not anymore” and “I sometimes
believe in God” was shewed to the right, there appeared to be a significantly difference in the
means.
DATA SCREENING 3
*Data used for the Summary Above is Gianna Jackson data all other group members data is
listed under their name; their data was not used for the summary.
Gianna Jackson Data
Frequencies
Frequencies Table
DATA SCREENING 4
Graph
DATA SCREENING 5
Graph
Descriptive
DATA SCREENING 6
Box Plot
Explore
Please choose the answer that best describes your belief in God.
RSS-Divine Struggles
DATA SCREENING 7
Independent t-Test
DATA SCREENING 8
Univariate Analysis of Variance
Post Hoc Tests
Please choose the answer that best describes your belief in God.
DATA SCREENING 9
Homogeneous Subsets
DATA SCREENING 10
Lawanda Nodestine-Henry Data
Frequencies
Notes
Output Created 03-APR-2020 09:35:48
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
Missing Value Handling Definition of Missing User-defined missing values
are treated as missing.
Cases Used Statistics are based on all
cases with valid data.
DATA SCREENING 11
Syntax FREQUENCIES
VARIABLES=Race
BRCOPPOS
/STATISTICS=STDDEV
VARIANCE MEAN MEDIAN
MODE SKEWNESS
SESKEW
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.52
Elapsed Time 00:00:00.43
Statistics
What is your
race? RCOPE-Positive
N Valid 636 540
Missing 1 97
Mean 1.65 2.4504
Median 1.00 2.5714
Mode 1 1.00
Std. Deviation 1.443 1.00694
Variance 2.082 1.014
Skewness 2.326 -.079
Std. Error of Skewness .097 .105
DATA SCREENING 12
Frequency Table
What is your race?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Caucasian/White 484 76.0 76.1 76.1
African American 63 9.9 9.9 86.0
American Indian or Alaska
Native
11 1.7 1.7 87.7
Asian 32 5.0 5.0 92.8
Native Hawaiian or other
Pacific Islander
2 .3 .3 93.1
Hispanic, Latino, or of
Spanish Origin
38 6.0 6.0 99.1
Other 6 .9 .9 100.0
Total 636 99.8 100.0
Missing System 1 .2
Total 637 100.0
RCOPE-Positive
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.00 91 14.3 16.9 16.9
1.14 14 2.2 2.6 19.4
DATA SCREENING 13
1.29 15 2.4 2.8 22.2
1.43 15 2.4 2.8 25.0
1.57 14 2.2 2.6 27.6
1.71 19 3.0 3.5 31.1
1.86 17 2.7 3.1 34.3
2.00 21 3.3 3.9 38.1
2.14 15 2.4 2.8 40.9
2.17 1 .2 .2 41.1
2.29 21 3.3 3.9 45.0
2.43 13 2.0 2.4 47.4
2.57 19 3.0 3.5 50.9
2.67 1 .2 .2 51.1
2.71 34 5.3 6.3 57.4
2.86 28 4.4 5.2 62.6
3.00 34 5.3 6.3 68.9
3.14 25 3.9 4.6 73.5
3.29 19 3.0 3.5 77.0
3.43 15 2.4 2.8 79.8
3.50 1 .2 .2 80.0
3.57 26 4.1 4.8 84.8
3.71 21 3.3 3.9 88.7
3.86 22 3.5 4.1 92.8
4.00 39 6.1 7.2 100.0
Total 540 84.8 100.0
Missing System 97 15.2
DATA SCREENING 14
Total 637 100.0
Histogram
DATA SCREENING 15
EXAMINE VARIABLES=Race BY BRCOPPOS
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL
/MISSING=REPORT.
DATA SCREENING 16
Explore
Notes
Output Created 03-APR-2020 09:36:14
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
Missing Value Handling Definition of Missing User-defined missing values
for dependent variables are
treated as missing. User-
defined and system missing
values for factors are treated
as valid data.
Cases Used Statistics are based on cases
with no missing values for
any dependent variable or
factor used.
DATA SCREENING 17
Syntax EXAMINE VARIABLES=Race
BY BRCOPPOS
/PLOT=BOXPLOT
/STATISTICS=NONE
/NOTOTAL
/MISSING=REPORT.
Resources Processor Time 00:00:00.27
Elapsed Time 00:00:00.31
Warnings
What is your race? is constant when RCOPE-Positive = 2.17. It will
be included in any boxplots produced but other output will be
omitted.
What is your race? is constant when RCOPE-Positive = 2.67. It will
be included in any boxplots produced but other output will be
omitted.
What is your race? is constant when RCOPE-Positive = 3.50. It will
be included in any boxplots produced but other output will be
omitted.
RCOPE-Positive
Case Processing Summary
DATA SCREENING 18
RCOPE-Positive
Cases
Valid Missing Total
N Percent N Percent N
What is your race? . (Missing) 97 100.0% 0 0.0% 97
1.00 91 100.0% 0 0.0% 91
1.14 14 100.0% 0 0.0% 14
1.29 15 100.0% 0 0.0% 15
1.43 15 100.0% 0 0.0% 15
1.57 14 100.0% 0 0.0% 14
1.71 19 100.0% 0 0.0% 19
1.86 17 100.0% 0 0.0% 17
2.00 21 100.0% 0 0.0% 21
2.14 15 100.0% 0 0.0% 15
2.17 1 100.0% 0 0.0% 1
2.29 21 100.0% 0 0.0% 21
2.43 13 100.0% 0 0.0% 13
2.57 19 100.0% 0 0.0% 19
2.67 1 100.0% 0 0.0% 1
2.71 34 100.0% 0 0.0% 34
2.86 28 100.0% 0 0.0% 28
3.00 34 100.0% 0 0.0% 34
3.14 24 96.0% 1 4.0% 25
3.29 19 100.0% 0 0.0% 19
3.43 15 100.0% 0 0.0% 15
3.50 1 100.0% 0 0.0% 1
3.57 26 100.0% 0 0.0% 26
DATA SCREENING 19
3.71 21 100.0% 0 0.0% 21
3.86 22 100.0% 0 0.0% 22
4.00 39 100.0% 0 0.0% 39
Case Processing Summary
RCOPE-Positive
Cases
Total
Percent
What is your race? . (Missing) 100.0%
1.00 100.0%
1.14 100.0%
1.29 100.0%
1.43 100.0%
1.57 100.0%
1.71 100.0%
1.86 100.0%
2.00 100.0%
2.14 100.0%
2.17 100.0%
2.29 100.0%
2.43 100.0%
2.57 100.0%
2.67 100.0%
2.71 100.0%
2.86 100.0%
3.00 100.0%
DATA SCREENING 20
3.14 100.0%
3.29 100.0%
3.43 100.0%
3.50 100.0%
3.57 100.0%
3.71 100.0%
3.86 100.0%
4.00 100.0%
What is your race?
DATA SCREENING 21
GRAPH
/SCATTERPLOT(BIVAR)=BRCOPPOS WITH Race
/MISSING=LISTWISE.
Graph
DATA SCREENING 22
Notes
Output Created 03-APR-2020 09:36:53
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
Syntax GRAPH
/SCATTERPLOT(BIVAR)=BR
COPPOS WITH Race
/MISSING=LISTWISE.
Resources Processor Time 00:00:00.37
Elapsed Time 00:00:00.49
DATA SCREENING 23
FREQUENCIES VARIABLES=Race BRCOPPOS
/STATISTICS=STDDEV VARIANCE SEMEAN MEAN MEDIAN MODE SKEWNESS SESKEW
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
DATA SCREENING 24
Frequencies
Notes
Output Created 03-APR-2020 09:37:29
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
Missing Value Handling Definition of Missing User-defined missing values
are treated as missing.
Cases Used Statistics are based on all
cases with valid data.
Syntax FREQUENCIES
VARIABLES=Race
BRCOPPOS
/STATISTICS=STDDEV
VARIANCE SEMEAN MEAN
MEDIAN MODE SKEWNESS
SESKEW
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
DATA SCREENING 25
Resources Processor Time 00:00:00.44
Elapsed Time 00:00:00.36
Statistics
What is your
race? RCOPE-Positive
N Valid 636 540
Missing 1 97
Mean 1.65 2.4504
Std. Error of Mean .057 .04333
Median 1.00 2.5714
Mode 1 1.00
Std. Deviation 1.443 1.00694
Variance 2.082 1.014
Skewness 2.326 -.079
Std. Error of Skewness .097 .105
Frequency Table
What is your race?
DATA SCREENING 26
Frequency Percent Valid Percent
Cumulative
Percent
Valid Caucasian/White 484 76.0 76.1 76.1
African American 63 9.9 9.9 86.0
American Indian or Alaska
Native
11 1.7 1.7 87.7
Asian 32 5.0 5.0 92.8
Native Hawaiian or other
Pacific Islander
2 .3 .3 93.1
Hispanic, Latino, or of
Spanish Origin
38 6.0 6.0 99.1
Other 6 .9 .9 100.0
Total 636 99.8 100.0
Missing System 1 .2
Total 637 100.0
RCOPE-Positive
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.00 91 14.3 16.9 16.9
1.14 14 2.2 2.6 19.4
1.29 15 2.4 2.8 22.2
1.43 15 2.4 2.8 25.0
1.57 14 2.2 2.6 27.6
1.71 19 3.0 3.5 31.1
1.86 17 2.7 3.1 34.3
DATA SCREENING 27
2.00 21 3.3 3.9 38.1
2.14 15 2.4 2.8 40.9
2.17 1 .2 .2 41.1
2.29 21 3.3 3.9 45.0
2.43 13 2.0 2.4 47.4
2.57 19 3.0 3.5 50.9
2.67 1 .2 .2 51.1
2.71 34 5.3 6.3 57.4
2.86 28 4.4 5.2 62.6
3.00 34 5.3 6.3 68.9
3.14 25 3.9 4.6 73.5
3.29 19 3.0 3.5 77.0
3.43 15 2.4 2.8 79.8
3.50 1 .2 .2 80.0
3.57 26 4.1 4.8 84.8
3.71 21 3.3 3.9 88.7
3.86 22 3.5 4.1 92.8
4.00 39 6.1 7.2 100.0
Total 540 84.8 100.0
Missing System 97 15.2
Total 637 100.0
Histogram
DATA SCREENING 28
DATA SCREENING 29
T-TEST GROUPS=BRCOPPOS(1 2)
/MISSING=ANALYSIS
/VARIABLES=Race
/CRITERIA=CI(.95).
T-TEST GROUPS=BRCOPPOS(1 2)
/MISSING=ANALYSIS
/VARIABLES=Race
DATA SCREENING 30
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 03-APR-2020 19:50:15
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
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.
DATA SCREENING 31
Syntax T-TEST
GROUPS=BRCOPPOS(1 2)
/MISSING=ANALYSIS
/VARIABLES=Race
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Group Statistics
RCOPE-Positive N Mean Std. Deviation Std. Error Mean
What is your race? 1.00 91 1.69 1.678 .176
2.00 21 1.33 .913 .199
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of
Means
F Sig. t df
What is your race? Equal variances assumed 4.211 .043 .946 110
Equal variances not
assumed
1.351 55.805
Independent Samples Test
t-test for Equality of Means
Sig. (2-tailed) Mean Difference
DATA SCREENING 32
Std. Error
Difference
What is your race? Equal variances assumed .346 .359 .379
Equal variances not assumed .182 .359 .266
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the Difference
Lower Upper
What is your race? Equal variances assumed -.393 1.111
Equal variances not assumed -.173 .891
ONEWAY Race BY BRCOPPOS
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.
ONEWAY Race BY BRCOPPOS
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS
/POSTHOC=TUKEY ALPHA(0.05).
Oneway
DATA SCREENING 33
Notes
Output Created 04-APR-2020 22:03:18
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
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 Race BY
BRCOPPOS
/STATISTICS
DESCRIPTIVES
/MISSING ANALYSIS
/POSTHOC=TUKEY
ALPHA(0.05).
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
DATA SCREENING 34
Warnings
Post hoc tests are not performed for What is your race? because at
least one group has fewer than two cases.
Descriptives
What is your race?
N Mean Std. Deviation Std. Error
95% Confidence Interval for Mean
MinimumLower Bound Upper Bound
1.00 91 1.69 1.678 .176 1.34 2.04 1
1.14 14 1.93 1.817 .486 .88 2.98 1
1.29 15 2.27 2.086 .539 1.11 3.42 1
1.43 15 1.60 1.454 .375 .79 2.41 1
1.57 14 1.43 1.089 .291 .80 2.06 1
1.71 19 1.47 1.307 .300 .84 2.10 1
1.86 17 2.29 2.085 .506 1.22 3.37 1
2.00 21 1.33 .913 .199 .92 1.75 1
2.14 15 1.60 1.595 .412 .72 2.48 1
2.17 1 1.00 . . . . 1
2.29 21 1.67 1.461 .319 1.00 2.33 1
2.43 13 1.38 .650 .180 .99 1.78 1
2.57 19 1.37 1.165 .267 .81 1.93 1
2.67 1 1.00 . . . . 1
DATA SCREENING 35
2.71 34 1.88 1.452 .249 1.38 2.39 1
2.86 28 1.86 1.508 .285 1.27 2.44 1
3.00 34 1.56 1.440 .247 1.06 2.06 1
3.14 24 1.38 .576 .118 1.13 1.62 1
3.29 19 1.95 1.715 .393 1.12 2.77 1
3.43 15 1.20 .561 .145 .89 1.51 1
3.50 1 1.00 . . . . 1
3.57 26 1.77 1.394 .273 1.21 2.33 1
3.71 21 1.29 .717 .156 .96 1.61 1
3.86 22 1.55 1.224 .261 1.00 2.09 1
4.00 39 2.15 1.899 .304 1.54 2.77 1
Total 539 1.68 1.470 .063 1.56 1.81 1
Descriptives
What is your race?
Maximum
1.00 7
1.14 7
1.29 6
1.43 6
1.57 4
1.71 6
1.86 7
2.00 4
2.14 6
DATA SCREENING 36
2.17 1
2.29 6
2.43 3
2.57 6
2.67 1
2.71 6
2.86 6
3.00 6
3.14 3
3.29 6
3.43 3
3.50 1
3.57 6
3.71 4
3.86 6
4.00 7
Total 7
ANOVA
What is your race?
Sum of Squares df Mean Square F Sig.
Between Groups 43.664 24 1.819 .836 .691
Within Groups 1118.718 514 2.176
Total 1162.382 538
DATA SCREENING 37
ONEWAY BRCOPPOS BY Race
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS
/POSTHOC=TUKEY ALPHA(0.05).
Oneway
Notes
Output Created 04-APR-2020 22:04:20
Comments
Input Data C:\Users\LaWanda\AppData\
Local\Temp\WorkingDataset7
45V2.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
637
Missing Value Handling Definition of Missing User-defined missing values
are treated as missing.
DATA SCREENING 38
Cases Used Statistics for each analysis
are based on cases with no
missing data for any variable
in the analysis.
Syntax ONEWAY BRCOPPOS BY
Race
/STATISTICS
DESCRIPTIVES
/MISSING ANALYSIS
/POSTHOC=TUKEY
ALPHA(0.05).
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.13
Descriptives
RCOPE-Positive
N Mean Std. Deviation Std. Error
95% Confidence
Interval for Mean
Lower Bound
Caucasian/White 402 2.3900 1.00639 .05019 2.2913
African American 59 2.9080 .85663 .11152 2.6848
American Indian or Alaska
Native
11 2.9091 .80121 .24157 2.3708
Asian 25 2.3543 .98208 .19642 1.9489
Native Hawaiian or other
Pacific Islander
2 2.2143 .10102 .07143 1.3067
Hispanic, Latino, or of
Spanish Origin
35 2.3837 1.11724 .18885 1.9999
DATA SCREENING 39
Other 5 1.8000 1.28015 .57250 .2105
Total 539 2.4491 1.00743 .04339 2.3638
Descriptives
RCOPE-Positive
95% Confidence Interval
for Mean
Minimum MaximumUpper Bound
Caucasian/White 2.4886 1.00 4.00
African American 3.1312 1.00 4.00
American Indian or Alaska Native 3.4473 1.00 4.00
Asian 2.7597 1.00 4.00
Native Hawaiian or other Pacific Islander 3.1219 2.14 2.29
Hispanic, Latino, or of Spanish Origin 2.7675 1.00 4.00
Other 3.3895 1.00 4.00
Total 2.5343 1.00 4.00
ANOVA
RCOPE-Positive
Sum of Squares df Mean Square F Sig.
Between Groups 18.749 6 3.125 3.153 .005
Within Groups 527.277 532 .991
Total 546.026 538
DATA SCREENING 40
Post Hoc Tests
Multiple Comparisons
Dependent Variable: RCOPE-Positive
Tukey HSD
(I) What is your race? (J) What is your race?
Mean
Difference (I-
J)
Std.
Error Sig.
95% Confidence Interval
Lower
Bound
Upper
Bound
Caucasian/White African American -.51804* .13880 .004 -.9288 -.1072
American Indian or
Alaska Native
-.51914 .30425 .612 -1.4196 .3813
Asian .03567 .20521 1.000 -.5717 .6430
Native Hawaiian or
other Pacific Islander
.17567 .70571 1.000 -1.9130 2.2643
Hispanic, Latino, or of
Spanish Origin
.00628 .17545 1.000 -.5130 .5256
Other .58995 .44798 .844 -.7359 1.9158
African American Caucasian/White .51804* .13880 .004 .1072 .9288
American Indian or
Alaska Native
-.00110 .32696 1.000 -.9688 .9666
Asian .55370 .23758 .231 -.1494 1.2569
Native Hawaiian or
other Pacific Islander
.69370 .71579 .960 -1.4248 2.8122
Hispanic, Latino, or of
Spanish Origin
.52432 .21241 .173 -.1043 1.1530
DATA SCREENING 41
Other 1.10799 .46371 .205 -.2644 2.4804
American Indian or
Alaska Native
Caucasian/White .51914 .30425 .612 -.3813 1.4196
African American .00110 .32696 1.000 -.9666 .9688
Asian .55481 .36020 .720 -.5113 1.6209
Native Hawaiian or
other Pacific Islander
.69481 .76529 .971 -1.5702 2.9598
Hispanic, Latino, or of
Spanish Origin
.52542 .34412 .729 -.4931 1.5439
Other 1.10909 .53696 .375 -.4801 2.6983
Asian Caucasian/White -.03567 .20521 1.000 -.6430 .5717
African American -.55370 .23758 .231 -1.2569 .1494
American Indian or
Alaska Native
-.55481 .36020 .720 -1.6209 .5113
Native Hawaiian or
other Pacific Islander
.14000 .73158 1.000 -2.0252 2.3052
Hispanic, Latino, or of
Spanish Origin
-.02939 .26070 1.000 -.8010 .7422
Other .55429 .48772 .917 -.8892 1.9978
Native Hawaiian or
other Pacific Islander
Caucasian/White -.17567 .70571 1.000 -2.2643 1.9130
African American -.69370 .71579 .960 -2.8122 1.4248
American Indian or
Alaska Native
-.69481 .76529 .971 -2.9598 1.5702
Asian -.14000 .73158 1.000 -2.3052 2.0252
Hispanic, Latino, or of
Spanish Origin
-.16939 .72379 1.000 -2.3116 1.9728
Other .41429 .83294 .999 -2.0509 2.8795
Hispanic, Latino, or of
Spanish Origin
Caucasian/White -.00628 .17545 1.000 -.5256 .5130
African American -.52432 .21241 .173 -1.1530 .1043
DATA SCREENING 42
American Indian or
Alaska Native
-.52542 .34412 .729 -1.5439 .4931
Asian .02939 .26070 1.000 -.7422 .8010
Native Hawaiian or
other Pacific Islander
.16939 .72379 1.000 -1.9728 2.3116
Other .58367 .47596 .884 -.8250 1.9924
Other Caucasian/White -.58995 .44798 .844 -1.9158 .7359
African American -1.10799 .46371 .205 -2.4804 .2644
American Indian or
Alaska Native
-1.10909 .53696 .375 -2.6983 .4801
Asian -.55429 .48772 .917 -1.9978 .8892
Native Hawaiian or
other Pacific Islander
-.41429 .83294 .999 -2.8795 2.0509
Hispanic, Latino, or of
Spanish Origin
-.58367 .47596 .884 -1.9924 .8250
*. The mean difference is significant at the 0.05 level.
Homogeneous Subsets
RCOPE-Positive
Tukey HSDa,b
What is your race? N Subset for alpha
= 0.05
DATA SCREENING 43
1
Other 5 1.8000
Native Hawaiian or other
Pacific Islander
2 2.2143
Asian 25 2.3543
Hispanic, Latino, or of
Spanish Origin
35 2.3837
Caucasian/White 402 2.3900
African American 59 2.9080
American Indian or Alaska
Native
11 2.9091
Sig. .285
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 7.964.
b. The group sizes are unequal. The harmonic mean of the
group sizes is used. Type I error levels are not guaranteed.
Cesar Pajarillo Data
The variables used in this data screening are the following: Annual Household Income [Income] Awareness of God [SAI_AWAR]
Statistics What is your
household's
annual income?
SAI-Awareness
of God
N Valid 637 539
Missing 0 98
Mean 5.27 2.6572
Median 5.00 2.6250
DATA SCREENING 44
Mode 4 1.00
Std. Deviation 2.427 1.35618
Skewness .005 .229
Std. Error of Skewness .097 .105
Kurtosis -1.181 -1.280
Std. Error of Kurtosis .193 .210
Sum 3360 1432.24
The standard deviation of the two variables indicate the income is more spread out
(SD=4.427) while SAI-Awareness of God (SD=1.356) is more clustered.
DATA SCREENING 45
HOUSEHOLD ANNUAL INCOME
DATA SCREENING 46
SELF-AWARENESS OF GOD
The box plot above for income & SAI-Self Awareness does not show any outliers.
T-TEST
DATA SCREENING 47
The result of the paired sample test above, specifically the p-value denoted by “Sig. (2- tailed)” which shows “.000” indicates that we have to reject the null hypothesis that “there is no correlation between income and degree of awareness of God.”