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Statistical Analysis of Number of Children Under Age of 18 While Engaged in DLDCD Chi-square analysis indicated that there is no statistically significant difference in Table 42 e independent variable number of minor children while engaged in DLDCD for those provides the details of the statistical analysis for this independent variable.

Table 42 Statistical Analysis of Number of Children Under Age of 18 While Engaged in DLDCD Chi-square analysis indicated that there is no statistically significant difference in Table 42 e independent variable number of minor children while engaged in DLDCD for those provides the details of the statistical analysis for this independent variable.

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represented a national sample. This information is depicted in Figure 1 below. individual’s current place of residence were used to demonstrate that participants
represented a national sample. This information is depicted in Figure 1 below. individual’s current place of residence were used to demonstrate that participants
Chi-square analysis indicated that there is no statistically significant difference in the independent variable of combat zone for those who completed their DLDCD course
Chi-square analysis indicated that there is no statistically significant difference in the independent variable of combat zone for those who completed their DLDCD course
Statistical Analysis of Number of Times Deployed to a Combat Area (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the independent variable of number of times deployed to a combat area for those who
Statistical Analysis of Number of Times Deployed to a Combat Area (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the independent variable of number of times deployed to a combat area for those who
Chi-square analysis indicated that there is no statistically significant difference in the independent variable length of deployment for those who completed their DLDCD
Chi-square analysis indicated that there is no statistically significant difference in the independent variable length of deployment for those who completed their DLDCD
Statistical Analysis of Compensation Category (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 5
Statistical Analysis of Compensation Category (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 5
Chi-square analysis indicated that there is no statistically significant difference in Table 6 BMT or CSF for those who completed their DLDCD course and those who did not complete their course. In each case, those who did not complete these trainings
Chi-square analysis indicated that there is no statistically significant difference in Table 6 BMT or CSF for those who completed their DLDCD course and those who did not complete their course. In each case, those who did not complete these trainings
Statistical Analysis of Military Education Center (MEC) Support and Adequacy Chi-square analysis indicated that there is no statistically significant difference in Table 7 MEC support for those who completed their DLDCD course and those who did not two independent variables.
Statistical Analysis of Military Education Center (MEC) Support and Adequacy Chi-square analysis indicated that there is no statistically significant difference in Table 7 MEC support for those who completed their DLDCD course and those who did not two independent variables.
Table 8
Table 8
Chi-square analysis indicated that there is no statistically significant difference in consistent Internet access for students who completed their DLDCD course and those
Chi-square analysis indicated that there is no statistically significant difference in consistent Internet access for students who completed their DLDCD course and those
Statistical Analysis of Combat Environment (DRRI-2 C) (N = 144) An independent-samples t-test indicated that there is no statistically significant difference in combat environment for those who completed their DLDCD course and
Statistical Analysis of Combat Environment (DRRI-2 C) (N = 144) An independent-samples t-test indicated that there is no statistically significant difference in combat environment for those who completed their DLDCD course and
Chi-square analysis indicated that there is no statistically significant difference in the military mezzo independent variable of unit members’ support of DLDCD for those However, the higher the level of agreement with this statement, the more likely soldier- Unit leaders’ support of DLDCD
Chi-square analysis indicated that there is no statistically significant difference in the military mezzo independent variable of unit members’ support of DLDCD for those However, the higher the level of agreement with this statement, the more likely soldier- Unit leaders’ support of DLDCD
Statistical Analysis of Unit Leaders’ Support of DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the military mezzo independent variable of unit leaders’ support of DLDCD for those
Statistical Analysis of Unit Leaders’ Support of DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the military mezzo independent variable of unit leaders’ support of DLDCD for those
Statistical Analysis of Role Conflict (N = 144) Table 13
Statistical Analysis of Role Conflict (N = 144) Table 13
Chi-square analysis indicated that both role conflict variables have statistically significant differences for those who completed their DLDCD course and those who did not complete their course. Those who strongly agree that military responsibilities
Chi-square analysis indicated that both role conflict variables have statistically significant differences for those who completed their DLDCD course and those who did not complete their course. Those who strongly agree that military responsibilities
The results of an independent-samples t-test indicated that there is no statistically Table 14 measured by DRRI-2 K1, for those who completed their DLDCD course and those whc
The results of an independent-samples t-test indicated that there is no statistically Table 14 measured by DRRI-2 K1, for those who completed their DLDCD course and those whc
Statistical Analysis of Unit Support (DRRI-2 J) (N = 144) An independent- samples t-test indicated that there is no statistically significant difference in the independent variable unit support, as measured by the DRRI-2 J
Statistical Analysis of Unit Support (DRRI-2 J) (N = 144) An independent- samples t-test indicated that there is no statistically significant difference in the independent variable unit support, as measured by the DRRI-2 J
Statistical Analysis of Number of Deployment while Engaged in DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the Table 16 independent variable of number of deployment while engaged in DLDCD for those whc
Statistical Analysis of Number of Deployment while Engaged in DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the Table 16 independent variable of number of deployment while engaged in DLDCD for those whc
Statistical Analysis of Military Affiliation (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
Statistical Analysis of Military Affiliation (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
Chi-square analysis indicated that there is no statistically significant difference in those who did not complete their course. However, the officers’ rate of course
Chi-square analysis indicated that there is no statistically significant difference in those who did not complete their course. However, the officers’ rate of course
Chi-square analysis indicated that there is no statistically significant difference in of bivariate analysis for the independent military micro variable of military occupation. course at a higher rate, 91.3% (n = 21), than infantry or munitions workers, 72.3% (n =
Chi-square analysis indicated that there is no statistically significant difference in of bivariate analysis for the independent military micro variable of military occupation. course at a higher rate, 91.3% (n = 21), than infantry or munitions workers, 72.3% (n =
Statistical Analysis of Higher Education Institution (N = 144) Neither subcategory achieves statistical significance. However, soldier-students
Statistical Analysis of Higher Education Institution (N = 144) Neither subcategory achieves statistical significance. However, soldier-students
Statistical Analysis of Pace of DL Course (N = 144) Table 21
Statistical Analysis of Pace of DL Course (N = 144) Table 21
Statistical Analysis of Frequency of Instructor Contact (N = 144) Chi-square analysis indicated that there is a statistically significant difference in Table 22
Statistical Analysis of Frequency of Instructor Contact (N = 144) Chi-square analysis indicated that there is a statistically significant difference in Table 22
Statistical Analysis of Timeliness of Instructor Response (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 23
Statistical Analysis of Timeliness of Instructor Response (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 23
Table 24
Table 24
Statistical Analysis of DL Classmate Support (N = 144) There is no statistically significant difference in the independent variable of DL classmate support for those who completed their DLDCD course and those who did not
Statistical Analysis of DL Classmate Support (N = 144) There is no statistically significant difference in the independent variable of DL classmate support for those who completed their DLDCD course and those who did not
Chi-square analysis indicated that there is a statistically significant difference in the soldier-student’s ability to engage in DL teamwork for those who completed their
Chi-square analysis indicated that there is a statistically significant difference in the soldier-student’s ability to engage in DL teamwork for those who completed their
There is no statistically significant difference in the independent variable of DL courses, military courses, and multiple courses. The results of this statistical analysis are
There is no statistically significant difference in the independent variable of DL courses, military courses, and multiple courses. The results of this statistical analysis are
Statistical Analysis of DL Online and Offline Hours per Week (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 28 either the soldier-student’s online or offline hours per week for those who completed
Statistical Analysis of DL Online and Offline Hours per Week (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 28 either the soldier-student’s online or offline hours per week for those who completed
Statistical Analysis of Comfort with DL Course Options (N = 144) Chi-square analysis indicated that there is a statistically significant difference in Table 29
Statistical Analysis of Comfort with DL Course Options (N = 144) Chi-square analysis indicated that there is a statistically significant difference in Table 29
Statistical Analysis of Able to Manage Academic Workload (N = 144) Table 30 The details of the statistical analysis for this variable are outlined in Table 30 below.
Statistical Analysis of Able to Manage Academic Workload (N = 144) Table 30 The details of the statistical analysis for this variable are outlined in Table 30 below.
Statistical Analysis of Ability to Meet Academic Deadlines (N = 144) Chi-square analysis indicated that there is a statistically significant difference in
Statistical Analysis of Ability to Meet Academic Deadlines (N = 144) Chi-square analysis indicated that there is a statistically significant difference in
Chi-square analysis indicated that there is no statistically significant difference in the 32 includes the details of the statistical analysis for this independent variable.
Chi-square analysis indicated that there is no statistically significant difference in the 32 includes the details of the statistical analysis for this independent variable.
Chi-square analysis indicated that the independent variable of program Table 33 program. Table 33 provides the details of the statistical analysis for this variable.
Chi-square analysis indicated that the independent variable of program Table 33 program. Table 33 provides the details of the statistical analysis for this variable.
Chi-square analysis indicated that the independent variable expectations of Table 34
Chi-square analysis indicated that the independent variable expectations of Table 34
Chi-square analysis indicated that there is a statistically significant difference in Table 35 statistical analysis for this independent variable.
Chi-square analysis indicated that there is a statistically significant difference in Table 35 statistical analysis for this independent variable.
Statistical Analysis of Willingness to Engage in DLDCD again (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
Statistical Analysis of Willingness to Engage in DLDCD again (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
Statistical Analysis of Degree Aspiration (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 37
Statistical Analysis of Degree Aspiration (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 37
Statistical Analysis of Level of Education Completed Prior to DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 38 statistical analysis for this independent variable is detailed in Table 38.
Statistical Analysis of Level of Education Completed Prior to DLDCD (N = 144) Chi-square analysis indicated that there is no statistically significant difference in Table 38 statistical analysis for this independent variable is detailed in Table 38.
Statistical Analysis of Family Support (N = 144) Chi-square analysis indicated that there is no statistically significant difference in 39 provides the details of the statistical analysis for this independent variable.
Statistical Analysis of Family Support (N = 144) Chi-square analysis indicated that there is no statistically significant difference in 39 provides the details of the statistical analysis for this independent variable.
Statistical Analysis of First Generation College Student (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the independent variable of first generation college student for those who completed their bivariate analysis of this independent variable.
Statistical Analysis of First Generation College Student (N = 144) Chi-square analysis indicated that there is no statistically significant difference in the independent variable of first generation college student for those who completed their bivariate analysis of this independent variable.
Statistical Analysis of Parent Status (N = 144) Table 41 status (yes, no). Table 41 outlines the details of the statistical analysis for this variable.
Statistical Analysis of Parent Status (N = 144) Table 41 status (yes, no). Table 41 outlines the details of the statistical analysis for this variable.
Statistical Analysis of Comfort with Basic Computer Applications (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
Statistical Analysis of Comfort with Basic Computer Applications (N = 144) Chi-square analysis indicated that there is no statistically significant difference in
The results of the independent- samples t-test indicated that there is no statistically Table 44
The results of the independent- samples t-test indicated that there is no statistically Table 44
Chi-square analysis indicated that there is no statistically significant difference in
Chi-square analysis indicated that there is no statistically significant difference in
Statistical Analysis of Gender (N = 144) Table 46
Statistical Analysis of Gender (N = 144) Table 46
Statistical Analysis of Race (N = 144) Chi-square analysis indicated that there is no significant difference in the independent variable race for those who completed their DLDCD course and those who
Statistical Analysis of Race (N = 144) Chi-square analysis indicated that there is no significant difference in the independent variable race for those who completed their DLDCD course and those who
Chi-square analysis indicated that there is no statistically significant difference in course and those who did not complete their course. The highest rate of completion,
Chi-square analysis indicated that there is no statistically significant difference in course and those who did not complete their course. The highest rate of completion,
Northwest K ansas Technical College
Northwest K ansas Technical College
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Role ConflictMilitary EducationUsing Social Media In Research
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