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. 2017 Jun 16;13:469–479. doi: 10.1016/j.dib.2017.06.025

Survey datasets on the externalizing behaviors of primary school pupils and secondary school students in some selected schools in Ogun State, Nigeria

Sheila A Bishop 1, Enahoro A Owoloko 1, Hilary I Okagbue 1,, Pelumi E Oguntunde 1, Oluwole A Odetunmibi 1, Abiodun A Opanuga 1
PMCID: PMC5487303  PMID: 28702486

Abstract

This data article contains the partial analysis (descriptive statistics) of data obtained from 1770 primary school pupils and secondary school students in three Local Government Areas of Ogun State, Nigeria. The schools are either privately owned or public (government owned) schools. The aim of the field survey is to measure the level and patterns of externalizing behavior of the respondents. The data was collected using a standardized questionnaire. The questionnaire is a modification of Achenbach manual for Child behavior checklist (Achenbach, 2001) [1] and manual for Youth self-report (Achenbach and Rescorla, 2001) [2]. The questionnaire was designed to suit the demographic and socio-cultural nature of the target population. Analysis of the data can provide useful insights to the patterns of externalizing behavior of primary school pupils and secondary school students.

Keywords: Externalizing behavior, Achenbach manual, Survey, Questionnaire


Specifications Table

Subject area Social Sciences
More specific subject area Quantitative Psychology
Type of data Table and text file
How data was acquired Field Survey
Data format Raw, partial analyzed (Descriptive statistics)
Experimental factors Simple random sampling of some selected primary and secondary schools in three local Government Areas in Ogun State, Nigeria. Non response observations have been removed.
Experimental features Sample selection of the responses of pupils and students from structured Questionnaires designed to measure their level of externalizing behavior
Data source location Covenant University Mathematics Laboratory, Ota, Nigeria
Data accessibility All the data are in this data article

Value of the data

  • The data provide the descriptive statistics for the selected samples which gave an exploratory trend of the observed characteristics.

  • The data when completely analyzed can provide insight on the similarities and differences in patterns of externalizing behaviors of primary school pupils and secondary school students.

  • Researchers can gain more insight on the instrument of data collection, which can be adapted or adopted to suit the studied socioeconomic, demographic, psychographic and behavioral characteristics.

  • The questionnaire can be used for the study of the externalizing behavior of children and early adolescent youths.

  • The questionnaire can be adapted or adopted to include cohort and/or longitudinal studies.

  • The data could be useful in the following research areas: child behavior, adolescent health, early child education, guidance and counseling, mental health, psychiatrics, psychopathology, Developmental psychology, Multivariate Behavioral Research, Clinical Psychology and so on. The central theme is the study of externalizing behavior instincts and observed patterns between primary school pupils and secondary school students.

  • Most vulnerable groups obtained from data analysis can be singled out for counseling and monitoring by the concerned authorities thereby improving on the public health of the people.

1. Data

The data in this article is the set of responses solicited from 1770 primary school pupils and secondary school students in three Local Government Areas in Ogun State Nigeria. The details of the sample size are shown in Table 1a, Table 1b, Table 1c, Table 1d, Table 1e and 1f. The data was collected by the use of questionnaire. The questionnaire is a modification of Achenbach manual for child behavior checklist [1] and manual for youth self-report [2]. The nature and usefulness of the data entails that it can be analyzed using the following statistical techniques: regression analysis (ordinary least square), analysis of variance, Poisson regression, logistic models, path analysis models, latent growth curve analysis, middle level growth models, factor analysis, principal component analysis, multiple correspondence analysis, structural equation modeling, multivariate regression models, cluster analysis and so on.

Table 1a.

School type of respondents.

Type Public
Private

Number of respondents 1136 634

Table 1b.

Educational level of respondents.

Level
Primary
Secondary

368 1402

Table 1c.

Gender of respondents.

Gender
Female
Male

Number 996 774

Table 1d.

Age of respondents.

Age
Below 10
11–15
16–20

Frequency 156 1202 412

Table 1e.

Crosstabulation of gender and school type of respondents.

School
Total
Public Private
Gender Male 501 273 774
Female 635 361 996
Total 1136 634 1770

Table 1 f.

Crosstabulation of gender and educational level of respondents.

Level
Total
Primary Secondary
Gender Male 181 593 774
Female 187 809 996
Total 368 1402 1770

The contents of the data are variables that determine the externalizing behavior of the respondents. These variables are as a result of under control of emotions as listed in the questionnaire. The analysis of the data can reveal the externalizing behavior of the respondents which can manifest as aggression, delinquency and hyperactivity. Furthermore, the gender, age and educational level differences in the distribution of externalizing behavior patterns can be obtained from the analysis of the data. In addition, research questions can be posed and statistical hypothesis can be tested based on the data. Finally, the data contains some variables which have not been considered in the analysis of externalizing behavior in children and adolescents and the questionnaire can serve as a benchmark tool for behavioral analysis especially in the sub Saharan region of Africa.

The data can be assessed as Supplementary data 1 and the Questionnaire can be assessed as Supplementary data 2.

1.1. The summary statistics of the total score of the samples

The summary statistics of the total score of the respondents is given in Table 2.

Table 2.

Summary statistics of the total scores (the measure of the externalizing behavior).

Statistic Value
Mean 77.75 (0.68)
Median 76
Mode 72
Standard Deviation 28.604
Variance 818.164
Skewness 0.227(0.058)
Kurtosis -0.313(0.116)
Range 163
Minimum 5
Maximum 168
Sum 137,610
Percentile 25 57
50 76
75 97

The summary statistics was represented by a histogram shown in Fig. 1.

Fig. 1.

Fig. 1

The histogram showing the total scores (the measure of the externalizing behavior).

The histogram is the chart representation of the descriptive statistics. The histogram revealed the presence of fewer outliers (extreme behavioral patterns).

1.2. The percentage of the individual score compared with the total score

The percentage of the individual score compared with the total score can be computed using the formula;

%score=IndividualscoreTotalscore×100 (1)

The total score is 200. The summary statistics for this subsection is shown in Table 3.

Table 3.

Summary statistics of the percentage total scores (the measure of the individual externalizing behavior compared with the Total score).

Statistic Value
Mean 38.873 (0.3399)
Median 38
Mode 36
Standard Deviation 14.3018
Variance 204.541
Skewness 0.227(0.058)
Kurtosis -0.313(0.116)
Range 81.5
Minimum 2.5
Maximum 84
Sum 68,805
Percentile 25 28.5
50 38
75 48.5

1.3. Gender Differences in the distribution of the externalizing behavior among the respondents

The summary statistics for the gender differences in the distribution of the total score for the primary school pupils and secondary school students is shown in Table 4.

Table 4.

Summary statistics of the gender differences in the measure of the externalizing behavior of the respondents.

Statistic Male Female
Mean 79.56 (1.079) 76.34 (0.868)
Median 78.5 74
Standard Deviation 30.011 27.392
Variance 900.653 750.348
Skewness 0.227(0.088) 0.197(0.077)
Kurtosis −0.314(0.176) −0.379(0.155)
Range 163 151
Minimum 5 5
Maximum 168 156

1.4. School differences in the distribution of the externalizing behavior among the respondents

The summary statistics for the school differences in the distribution of the total score for the primary school pupils and secondary school students is shown in Table 5.

Table 5.

Summary Statistics of the school differences in the measure of the externalizing behavior of the respondents.

Statistic Public Private
Mean 74.77 (0.838) 83.08 (1.132)
Median 72 83
Standard Deviation 28.233 28.511
Variance 797.078 812.878
Skewness 0.352(0.073) 0.014 (0.097)
Kurtosis −0.101(0.145) −0.459 (0.194)
Range 163 146
Minimum 5 10
Maximum 168 156

1.5. Age Differences in the distribution of the externalizing behavior among the respondents

The summary statistics for the age differences in the distribution of the total score for the primary school pupils and secondary school students is shown in Table 6.

Table 6.

Summary Statistics of the age differences in the measure of the externalizing behavior of the respondents.

Statistic Below 10 years 11–15 years 16–20 years
Mean 78.62 (2.483) 78.09 (0.817) 76.41(1.405)
Median 77 76 75.5
Standard Deviation 31.011 28.318 28.514
Variance 961.709 801.907 813.074
Skewness 0.022(0.194) 0.202 (0.071) 0.396 (0.120)
Kurtosis -0.837 (0.386) -0.269 (0.141) -0.132 (0.240)
Range 132 163 154
Minimum 12 5 14
Maximum 144 168 168

1.6. School level Differences in the distribution of the externalizing behavior among the respondents

The summary statistics for the school level differences in the distribution of the total score for the primary school pupils and secondary school students is shown in Table 7.

Table 7.

Summary statistics of the school level differences in the measure of the externalizing behavior of the respondents.

Statistic Primary Secondary
Mean 79.99 (1.671) 77.16 (0.737)
Median 81 75
Standard Deviation 32.054 27.609
Variance 1027.428 762.261
Skewness 0.004 (0.127) 0.296 (0.065)
Kurtosis −0.681 (0.254) −0.181 (0.131)
Range 151 163
Minimum 8 5
Maximum 159 168

1.7. The mean and standard deviation of all the questions in the questionnaire

The mean and standard deviation of all the questions in the questionnaire responded by the primary school pupils and secondary school students is shown in Table 8.

Table 8.

The mean and standard deviation of all questions obtained from the respondents.

Question Mean S.D. Question Mean S.D. Question Mean S.D. Question Mean S.D.
1 1.35 0.692 26 0.57 0.751 51 0.87 0.861 76 0.19 0.520
2 1.04 0.811 27 0.81 0.743 52 1.17 0.862 77 0.85 0.840
3 0.54 0.789 28 1.05 0.829 53 0.89 0.853 78 0.90 0.812
4 0.23 0.565 29 0.90 0.875 54 1.08 0.834 79 0.45 0.694
5 0.65 0.774 30 0.99 0.818 55 0.34 0.646 80 0.23 0.570
6 0.56 0.767 31 0.59 0.771 56 0.31 0.642 81 0.84 0.827
7 1.01 0.830 32 0.48 0.738 57 1.11 0.860 82 0.88 0.846
8 0.90 0.845 33 1.49 0.738 58 1.36 0.809 83 0.66 0.757
9 1.27 0.690 34 0.85 0.827 59 1.02 0.808 84 0.39 0.692
10 0.46 0.681 35 1.39 0.770 60 1.05 0.826 85 0.88 0.832
11 0.20 0.494 36 1.05 0.829 61 0.60 0.786 86 0.57 0.779
12 0.18 0.484 37 0.63 0.826 62 0.94 0.816 87 0.95 0.818
13 0.40 0.676 38 0.77 0.869 63 0.40 0.671 88 0.96 0.807
14 0.54 0.750 39 0.83 0.877 64 0.70 0.809 89 1.26 0.830
15 1.05 0.838 40 0.99 0.823 65 1.21 0.825 90 1.16 0.848
16 0.69 0.790 41 1.45 0.779 66 0/79 0.802 91 1.00 0.813
17 0.75 0.787 42 0.38 0.654 67 0.42 0.725 92 0.66 0.770
18 0.57 0.714 43 0.51 0.727 68 0.50 0.721 93 0.54 0.705
19 1.54 0.683 44 0.46 0.731 69 0.89 0.834 94 1.15 0.792
20 1.06 0.811 45 0.51 0.748 70 1.28 0.816 95 0.94 0.812
21 0.76 0.779 46 0.22 0.557 71 0.63 0.794 96 0.61 0.764
22 0.60 0.811 47 0.88 0.813 72 0.35 0.671 97 0.61 0.739
23 0.61 0.748 48 0.78 0.808 73 0.71 0.770 98 0.38 0.667
24 0.61 0.758 49 0.96 0.821 74 0.69 0.789 99 0.31 0.624
25 0.73 0.755 50 1.51 0.732 75 0.87 0.801 100 0.84 0.789

1.8. The distribution of the responses from the questions

The distribution of the responses from all the questions contained in the questionnaire is shown in Table 9.

Table 9.

The overall distribution of the responses from the respondents.

Question Not True Somewhat True Often True Question Not True Somewhat True Often True
1 222 701 847 51 787 427 556
2 545 603 622 52 535 406 829
3 1139 300 331 53 756 461 553
4 1498 144 128 54 553 531 686
5 955 488 327 55 1337 263 170
6 1082 386 302 56 1396 199 175
7 602 552 616 57 571 441 758
8 726 490 554 58 374 378 1018
9 434 417 919 59 560 614 596
10 1140 440 190 60 559 558 653
11 1498 196 76 61 1047 390 333
12 1531 162 77 62 641 587 542
13 1256 322 192 63 1253 331 186
14 1095 397 278 64 923 453 394
15 580 523 667 65 454 488 828
16 913 495 362 66 793 554 423
17 829 561 380 67 1282 238 250
18 1002 534 234 68 1121 411 238
19 192 437 1141 69 722 518 530
20 534 601 635 70 410 452 908
21 799 596 375 71 1004 414 352
22 1083 318 369 72 1338 236 196
23 968 517 285 73 859 569 342
24 982 489 299 74 914 496 360
25 801 638 331 75 698 604 468
26 1042 446 282 76 1536 131 103
27 689 730 351 77 772 485 513
28 567 550 653 78 680 585 505
29 778 398 594 79 1171 393 206
30 601 585 584 80 1497 142 131
31 1031 427 312 81 771 514 485
32 1174 335 261 82 756 478 536
33 261 374 1135 83 905 556 309
34 757 521 492 84 1294 263 213
35 314 449 1007 85 733 519 518
36 564 551 655 86 1088 362 320
37 1051 321 398 87 642 582 546
38 921 339 510 88 610 615 545
39 861 355 554 89 440 432 898
40 603 573 594 90 517 454 799
41 317 334 1119 91 584 600 586
42 1273 327 170 92 921 522 327
43 1114 410 246 93 1037 513 220
44 1215 302 253 94 440 620 710
45 1144 352 274 95 640 597 533
46 1497 152 121 96 990 474 306
47 699 578 493 97 970 529 271
48 810 533 427 98 1284 301 185
49 630 576 564 99 1384 230 156
50 253 356 1161 100 713 625 432

2. Experimental design, materials and methods

Researches on externalizing behavior and other related fields are often conducted by the use of standardized questionnaires. Details on other research aimed at studying the nature, causes, distribution and management of externalizing behavior in children and adolescents can be found in [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30]. Sample (field) survey was used to obtain the data, similar researches that used field survey to obtain their data can also be found in [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45].

Simple random sampling (SRS) was used to obtain the data across the three Local Government areas (LGA) in Ogun State, Nigeria. The selected LGAs are Ado-Odo/Ota, Ifo and Yewa South, which are in close proximity to each other. The choice of the target population reflects the views of both the urban and rural respondents, reflecting the demographics in the State. The focus is on the gender, age, school type and educational level of the distribution of the externalizing behavior patterns of the respondents.

The differences between the rural and urban externalizing behavior pattern is open for further research. The questionnaire was given to pupils and students of public/private primary and secondary schools. The sampling was solely on without replacement and the non-response was excluded from the final data. Non responses are categorized as incomplete data as a result of partial or no responses from the respondents. Inclusion of such data can be detrimental to the estimation of the population parameters.

The internal consistencies and the reliability of scale for the questions Q1–Q100 in the questionnaire is shown in Table 10. The table showed a high random nature of the data and is very reliable for statistical analysis.

Table 10.

Summary of the measure of reliability of the data.

Statistic Value
Cronbach׳s alpha 0.937
Correlation between forms 0.773
Spearman Brown Coefficient 0.872
Gutman Split-Half Coefficient 0.866
Reliability of scale 0.937
Lambda 1 0.928
2 0.938
3 0.937
4 0.866
5 0.931

Acknowledgements

The research was sponsored by Covenant University Centre for Research, Innovation and Development (CUCRID), Covenant University, Ota, Nigeria..

Footnotes

Transparency document

Transparency data associated with this article can be found in the online version at doi:10.1016/j.dib.2017.06.025.

Appendix A

Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2017.06.025.

Transparency document. Supplementary material

Supplementary material

mmc1.pdf (138KB, pdf)

.

Appendix A. Supplementary material

Supplementary material

mmc2.zip (51.3KB, zip)

.

Supplementary material

mmc3.pdf (85.9KB, pdf)

.

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Supplementary Materials

Supplementary material

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Supplementary material

mmc2.zip (51.3KB, zip)

Supplementary material

mmc3.pdf (85.9KB, pdf)

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