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.
Type |
Public |
Private |
Number of respondents | 1136 | 634 |
Table 1b.
Level |
Primary |
Secondary |
368 | 1402 |
Table 1c.
Gender |
Female |
Male |
|
Number | 996 | 774 |
Table 1d.
Age |
Below 10 |
11–15 |
16–20 |
Frequency | 156 | 1202 | 412 |
Table 1e.
School |
Total | |||
---|---|---|---|---|
Public | Private | |||
Gender | Male | 501 | 273 | 774 |
Female | 635 | 361 | 996 | |
Total | 1136 | 634 | 1770 |
Table 1 f.
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.
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.
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;
(1) |
The total score is 200. The summary statistics for this subsection is shown in Table 3.
Table 3.
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.
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.
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.
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.
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.
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.
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.
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 data associated with this article can be found in the online version at doi:10.1016/j.dib.2017.06.025.
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
.
Appendix A. Supplementary material
.
.
References
- 1.Achenbach T. ASEBA, University of Vermont; 2001. Child Behavior Checklist for Ages 6-18. [Google Scholar]
- 2.Achenbach T., Rescorla L. University of Vermont, Research Center for Children, Youth, and Families; Burlington: 2001. The Manual for the ASEBA School-Age Forms & Profiles. [Google Scholar]
- 3.Achenbach T., McConaughy S., Howell C. Child adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol. Bull. 1987;11:213–232. [PubMed] [Google Scholar]
- 4.Markon K.E., Krueger R.F. Categorical and continuous models of liability to externalizing disorders: a direct comparison in NESARC. Arch. Gen. Psychiatry. 2005;62(12):1352–1359. doi: 10.1001/archpsyc.62.12.1352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Achenbach T.M., Edelbrock C.S. The classification of child psychopathology: a review and analysis of empirical efforts. Psychol. Bull. 1978;85(6):1275–1301. [PubMed] [Google Scholar]
- 6.Achenbach T.M., T. M, Edelbrock C.S. Department of Psychiatry, University of Vermont; Burlington: 1983. Manual for Child Behavior Checklist and Revised Child Behavior profile. [Google Scholar]
- 7.Bagner D.M., Boggs S.R., Eyberg S.M. Evidence-based school behavior assessment of externalizing behavior in young children. Educ. Treat. Child. 2010;33(1):65–83. doi: 10.1353/etc.0.0084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Benner G.J., Ron Nelson J., Sanders E.A., Ralston N.C. Behavior intervention for students with externalizing behavior problems: primary-level standard protocol. Except. Child. 2012;78(2):181–198. [Google Scholar]
- 9.Campbell S.B., Shaw D.S., Gilliom M. Early externalizing behavior problems: toddlers and preschoolers at risk for later maladjustment. Dev. Psychopathol. 2000;12(3):467–488. doi: 10.1017/s0954579400003114. [DOI] [PubMed] [Google Scholar]
- 10.Campos R.C., Besser A., Morgado C., Blatt S.J. Self Criticism, dependency, and adolescents׳ externalizing and internalizing problems. Clin. Psychol. 2014;18(1):21–32. [Google Scholar]
- 11.Eisenberg N., Cumberland A., Spinrad T.L., Fabes R.A., Shepard S.A., Reiser M., Murphy B.C., Losova S.H., Guthrie I.K. The relations of regulation and emotionality to children׳s externalizing and internalizing problem behavior. Child Dev. 2001;72(4):1112–1134. doi: 10.1111/1467-8624.00337. [DOI] [PubMed] [Google Scholar]
- 12.Fowler L.T.S., Banks T.I., Anhalt K., Der H.H., Kalis T. The association between externalizing behavior problems, teacher-student relationship quality, and academic performance in young urban learners. Behav. Disord. 2008;33(3):167–183. [Google Scholar]
- 13.Garnefski N., Kraaij V., Van Etten M. Specificity of relations between adolescents׳ cognitive emotion regulation strategies and Internalizing and Externalizing psychopathology. J. Adolesce. 2005;28(5):619–631. doi: 10.1016/j.adolescence.2004.12.009. [DOI] [PubMed] [Google Scholar]
- 14.Guttmannova K., Szanyi J.M., Cali P.W. Internalizing and Externalizing Behavior Problem Scores: cross-ethnic and Longitudinal Measurement Invariance of the Behavior Problem Index. Educ. Psychol. Meas. 2008;68(4):676–694. [Google Scholar]
- 15.Hartwig L., Heathfield L.T., Jenson W.R. Standardization of the Functional Assessment and Intervention Program (FAIP) with children who have externalizing behaviors. Sch. Psych. Quart. 2004;19(3):272–287. [Google Scholar]
- 16.Jaffee W.B., D’Zurilla T.J. Adolescent problem solving, parent problem solving, and externalizing behavior in adolescents. Behav. Ther. 2003;34(3):295–311. [Google Scholar]
- 17.Jenson W.R., Olympia D., Farley M., Clark E. Positive psychology and externalizing students in a sea of negativity. Psychol. Sch. 2004;41(1):67–79. [Google Scholar]
- 18.Ker D.C., Lopez N.L., Olson S.L., Sameroff A.J. Parental discipline and externalizing behavior problems in early childhood: the role of moral regulation and child gender. J. Abnorm. Child Psychol. 2004;32(4):369–383. doi: 10.1023/b:jacp.0000030291.72775.96. [DOI] [PubMed] [Google Scholar]
- 19.King S.M., Iacano W.G., McGue M. Childhood externalizing and internalizing psychopathology in the prediction of early substance use. Addiction. 2004;99(12):1548–1559. doi: 10.1111/j.1360-0443.2004.00893.x. [DOI] [PubMed] [Google Scholar]
- 20.Kupersmidt J.B., Coie J.D. Preadolescent peer status, aggression, and school adjustment as predictors of externalizing problems in adolescence. Child Dev. 1990;61(5):1350–1362. doi: 10.1111/j.1467-8624.1990.tb02866.x. [DOI] [PubMed] [Google Scholar]
- 21.Liao T.L., Chen Y.S., Chen C.Y., Chien L.Y. Self-reported internalizing and externalizing behaviours among junior high school students at 2 and 4 years after the 921 Earthquake in Taiwan. Stress Health. 2014;30(4):265–271. doi: 10.1002/smi.2506. [DOI] [PubMed] [Google Scholar]
- 22.Liu, J J. Childhood externalizing behavior: theory and Implications. J. Child Adolesc. Psychiatr. Nurs. 2004;17(3):93–103. doi: 10.1111/j.1744-6171.2004.tb00003.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lynne S.D., Graber J.A., Nichols T.R., Brooks-Gunn J., Botvin G.J. Links between pubertal timing, peer influences, and externalizing behaviors among urban students followed through middle school. J. Adolesc. Health. 2007;40(2) doi: 10.1016/j.jadohealth.2006.09.008. (181.e7-181.e13) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.McCulloch A., Wiggins R.D., Joshi H.E., Sachdev D. Internalizing and externalizing children׳s behaviour problems in Britain and the US: relationships top family resources. Child. Soc. 2000;14(5):368–383. [Google Scholar]
- 25.Nik Jaafar N.R., Tuti Iryani M.D., Wan Salwina W.I., Fairuz Nazri A.R., Kamal N.A., Prakash R.J., Shah S.A. Externalizing and internalizing syndromes in relation to school truancy among adolescents in high-risk urban schools. Asia-Pac. Psychiatry. 2013;5(1):27–34. doi: 10.1111/appy.12072. [DOI] [PubMed] [Google Scholar]
- 26.Robinson N.S., Garber J., Hilsman R. Cognitions and Stress: direct and moderating effects on depressive versus externalizing symptoms during the junior high school transition. J. Abnorm. Psychol. 1995;104(3):453–463. doi: 10.1037//0021-843x.104.3.453. [DOI] [PubMed] [Google Scholar]
- 27.Roussos A., Francis K., Zoubou V., Kiprianos S., Prokopiou A., Richardson C. The standardization of Achenbach׳s Youth Self-Report in Greece in a national sample of high school students. Eur. Child Adolesc. Psychiatry. 2001;10(1):47–53. doi: 10.1007/s007870170046. [DOI] [PubMed] [Google Scholar]
- 28.Ter Bogt T.F.M., Van Dorsselaer S.A.F.M., Monshouwer K., Verdurmen J.E.E., Engels R.C.M.E., Vollebergh W.A.M. Body mass index and body weight perception as risk factors for internalizing and externalizing problem behavior among adolescents. J. Adolesc. Health. 2006;39(1):27–34. doi: 10.1016/j.jadohealth.2005.09.007. [DOI] [PubMed] [Google Scholar]
- 29.Zimmermann F., Schuttle K., Taskinen P., Koller O. Reciprocal effects between adolescent externalizing problems and measures of achievement. J. Educ. Psychol. 2013;105(3):747–761. [Google Scholar]
- 30.Sao S.A. Dept. Educ. Psych. Curr. Studies, University of Benin; Nigeria: 1997. A Survey of Types and Prevalence of Deviant Behaviour Among Secondary School Adolescents in Benin city, Edo State. (Unpublished Thesis) [Google Scholar]
- 31.Okagbue H.I., Adamu M.O., Iyase S.A., Owoloko E.A. On the motivations and challenges faced by commuters using BRT in Lagos, Nigeria. Soc. Sci. 2015;10(6):696–701. [Google Scholar]
- 32.Okagbue H.I., Adamu M.O., Iyase S.A., Edeki S.O., Opanuga A.A., Ugwoke P.O. On the uniqueness and non-commutative nature of coefficients of variables and interactions in hierarchical moderated multiple regression of Masked Survey Data. Medit. J. Soc. Sci. 2015;6(4 S3):408–417. [Google Scholar]
- 33.Okagbue H.I., Adamu M.O., Opanuga A.A., Omogbadegun Z.O., Obasi E.C.M. Popularity and gender differences in solving Sudoku Game among some sampled secondary school students in Lagos, Nigeria. Int. J. Soft Comput. 2015;10(6):405–407. [Google Scholar]
- 34.Okagbue H.I., Adamu M.O., Edeki S.O., Opanuga A.A. On the use of some selected estimators in the computation of interactions in a moderated multiple regression of a Masked Survey Data. Int. Bus. Manag. 2016;10(4):352–356. [Google Scholar]
- 35.Jridi O., Nouri F.Z. Survey of socio-economic and contextual factors of households׳ energy consumption. Data Brief. 2015;5:327–332. doi: 10.1016/j.dib.2015.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vuong Q.-H., Nguyen T.-K. Data on Vietnamese patients׳ financial burdens and risk of destitution. Data Brief. 2016;9:543–548. doi: 10.1016/j.dib.2016.09.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Sanfo S., Fonta M.W., Boubacar I., Lamers P.A.J. Survey data on key climate and environmental drivers of farmers׳ migration in Burkina Faso, West Africa. Data Brief. 2016;9:1013–1019. doi: 10.1016/j.dib.2016.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Dimara E., Manganari E., Skuras D. Survey data on factors influencing participation in towel reuse programs. Data Brief. 2017;10:26–29. doi: 10.1016/j.dib.2016.11.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Vuong Q.H. Survey data on entrepreneurs׳ subjective plan and perceptions of the likelihood of success. Data Brief. 2016;6:858–864. doi: 10.1016/j.dib.2016.01.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Iroham C.O., Okagbue H.I., Ogunkoya O.A., Owolabi J.D. Survey data on factors affecting negotiation of professional fees between Estate Valuers and their clients when the mortgage is financed by bank loan: a case study of mortgage valuations in Ikeja, Lagos State, Nigeria. Data Brief. 2017;12:447–452. doi: 10.1016/j.dib.2017.04.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Okagbue H.I., Opanuga A.A., Oguntunde P.E., Ugwoke P.O. Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards. Data Brief. 2017;10:269–276. doi: 10.1016/j.dib.2016.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Akinyemiju T., Moore J.X. Data on burden of comorbidities in the United States and Medicaid expansion. Data Brief. 2016;8:120–122. doi: 10.1016/j.dib.2016.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Giannoccaro G. Survey data of stated farmer׳s preferences and willingness to supply straw. Data Brief. 2017;11:12–14. doi: 10.1016/j.dib.2016.12.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Canesi R., Marella G. Residential construction cost: an Italian survey. Data Brief. 2017;11:231–235. doi: 10.1016/j.dib.2017.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ibrahim M.R. A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt. Data Brief. 2017;11:543–545. doi: 10.1016/j.dib.2017.02.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.