Abstract

This study investigated the effects of financial, managerial, job satisfaction, job stress, individual, and family factors on the turnover intention of teachers in cadet colleges in Khyber Pakhtunkhwa. The study's nature is quantitative, using a survey questionnaire to collect the perspectives of educators. The study utilised simple random sampling to choose a sample of 223 teachers. The study found that educators faced intricate challenges and were considering quitting their current job upon finding another opportunity. The study found a significant correlation between turnover intention and five factors: managerial, job satisfaction, job stress, individual, and family. The study's multiple linear regression analysis found significant correlations between teachers' turnover intention in cadet colleges and their job satisfaction, job stress, and individual and family factors. The financial factor has a weak correlation and no significant influence on turnover intention. Cadet college administrators can use the study's findings to improve these criteria to prevent teacher turnover.

Key Words

Turnover Intention, Financial Factor, Managerial Factor, Job Satisfaction, Job Stress, Individual Factor, Family Factor, Cadet College, Khyber Pakhtunkhwa, Teachers

Introduction

The term "turnover" is used to describe when workers leave a company. Turnover in the teaching profession is the frequency with which teachers quit their jobs and are replaced by others. It is influenced by several factors, including low salaries, limited professional growth opportunities, excessive workload, lack of support and recognition, challenging working conditions, and job dissatisfaction. These causes contribute to a cycle of turnover, resulting in negative consequences for both teachers and students, such as instability in classrooms, reduced continuity, and decreased instructional quality. When the employee makes the choice to leave, it is considered a voluntary termination, however, when the employer makes the choice, it is considered an involuntary termination. (Holtom, Mitchell, Lee, & Eberly, 2008). Employees' plans to leave might be affected by a wide range of factors. Employee retention is mostly determined by elements such as job satisfaction, work-life balance, trust, and management support, according to previous research.(Kim, Knutson, & Choi, 2016). Staff turnover can be either voluntary or involuntaryDifferentiating between willing and unwilling employee turnover is crucial as observed by (Perez & Mirabella, 2013) since otherwise, the evaluation of such a connection in terms of all leavers will be inaccurate. When an employee leaves voluntarily, we call that turnover. (Staw, 1980) claimed that voluntary departures incurred both direct and indirect costs, such as the need for replacement, increased stress for the remaining staff, and a reduction in social capital, as reported by Taylor and Cosenza (1998) distinguished between healthy and dysfunctional voluntary turnover. Poor performers leaving are considered functional turnover, while good workers leaving are considered dysfunctional. Employee turnover can be further classified as either avoidable (caused by factors like pay and working conditions) or uncontrollable (caused by life events such as family relocation, serious illness, or death).  When a worker is let go by the company, it is considered an involuntary turnover.

While actual turnover is hard to examine due to the difficulty of tracking down former employees, preventing voluntary departures is much more damaging to an organization. It's a major problem in Asia that has to be investigated using a wide range of factors. (Khatri, Fern, & Budhwar, 2001). According to (Ladd & Sorensen, 2017), teacher turnover is defined as the "change in teachers from one year to the next in a specific school setting." In Pakistan, on average 60% turnover has been reported in private colleges and 40% among full-time faculty elsewhere (Sanderson & Siegfried, 2003). Teachers who are considering leaving are less invested in the success of their students and their colleagues. When a teacher leaves, the remaining teachers are saddled with extra work because they must pick up the slack. Long-term exposure to it decreases dedication and increases the intention to leave (Shaw, Duffy, Johnson, & Lockhart, 2005). Job satisfaction (Liu et al., 2020), teacher engagement (Schaufeli & Bakker, 2004; Tvedt, Tommelein, Klakegg, & Wong, 2023), teacher commitment (Esop & Timms, 2019), teacher burnout (Schaufeli & Bakker, 2004) and teacher efficacy (Li & Yao, 2022),  are just some of the antecedents of teachers

Koh and Goh (1995) discovered that monetary benefits, the reputation of the firm, and satisfaction with future career prospects are all significant factors positively increasing turnover intention. Salary and other financial benefits have been shown to affect turnover intent in various research. (Ghiselli, La Lopa, & Bai, 2001). Swailes and Al Fahdi (2011) argued that discontent with the company's management, pay structure, or possibilities for advancement increases the possibility that workers may choose to leave. Empowering employees to make their own decisions about mundane tasks while being held accountable for their outcomes is a tried-and-true management technique. Turnover could be controversial because instructors chose their profession. Over time, poor compensation, heavy workload, lack of time for self-improvement, inefficient reward systems, and an absence of professional growth all contribute to a high turnover rate among secondary school teachers. It is unknown how to address this issue. There appears to be a dearth of data regarding the factors that lead to teacher turnover in Khyber Pakhtunkhwa cadet colleges; hence, this investigation seeks to fill that knowledge gap.

The study is guided by the following broad research questions: (1) what is the relationship between the selected factors and turnover intention? (2) What are the factors that significantly influence the teacher’s turnover intention?

Keeping in view the various aspects of individual and family factors playing a crucial role in turnover intention, the following hypotheses are forwarded for empirical testing:

H1: A significant relationship exists between financial factors and turnover intention among teachers.

H2: A significant correlation exists between managerial factors and turnover intention.

H3: A significant correlation exists between job satisfaction and teacher turnover intention.

H4: A significant correlation exists between job stress and teacher turnover intention.

H5: A significant correlation will exist between individual factors and teacher turnover intention.

H6: A significant correlation will exist between familial factors and teachers' turnover intentions.

Conceptual Framework of the Study

In order to determine the relationship between the independent variables and the dependent variable (turnover intention), six elements were chosen as independent variables (financial considerations, managerial factors, job satisfaction, job stress, individual factors, and family factors). The study's secondary objective was to identify the elements that have the greatest impact on turnover intent.

Figure 1

Conceptual Framework



Methodology

The survey research methodology was adopted to garner teachers' perceptions from cadet colleges located in the Khyber Pakhtunkhwa province of Pakistan, to find a correlation between the dependent and independent variables. The participants were accessed through post and personal visits.




Population and Sample of the Study

The study's population included all 10 cadet colleges in Khyber Pakhtunkhwa and their 267 faculty members; the sample included 8 colleges and 223 faculty members. Expert statisticians recommend a sample size of N>50+8.M for regression analysis, where M is the total number of independent variables (Sinniah & Kamil, 2017). As per the formula, the minimum sample size should be N>50+8(6) = 98 which is much higher than the minimum required one. This approach was adopted to lend credibility to the research findings. 




The Research Instrument

A modified 56-item (Shah, Fakhr, Ahmad, & Zaman, 2010) questionnaire examined turnover intent. on a five-point Likert scale. The questionnaire's Cronbach alpha for inter-item consistency was 114, above the social sciences' minimum acceptable value of 0.6 (Koul & Fisher, 2006). Financial, managerial, job happiness, job stress, individual, and family aspects all have high Cronbach alpha values.

Data Analysis and Interpretation

Pearson correlation and linear regression were used to analyze the data in SPSS version 20. The range of the correlation coefficient was defined as follows: r = 0.01–0.29 = weak; r = 0.29–0.49 = moderate; r = 0.49–0.69 = strong. Significant/Extremely High Correlation, r = 0.70 or Greater (Flammarion et al., 2002)




                >Table 1. Participants’ Demographic Profile align="center">

> > > > > > > >

Colleges and Teachers Participated in the Study

College Name width="55"> College1 width="56"> College2 width="56"> College3 width="57"> College4 width="56"> College5 width="57"> College6 width="56"> College7 width="92" colspan="2"> College8

Frequency (%) width="55"> 32(20) width="56"> 26(14) width="56"> 26(14) width="57"> 29(15) width="56"> 19(10) width="57"> 27(14) width="56"> 13(7) width="92" colspan="2"> 17(9)

Participants Age Group Distribution width="261" nowrap="" colspan="5"> Participants Qualifications

width="55"> 21-30 width="56"> 31-40 width="56"> 41-50 width="57"> 51-60 width="56"> Bachelor width="57"> Master width="56"> MS width="44"> M.Phil width="48"> PhD

Frequency (%) width="55"> 56(30) width="56"> 86(46) width="56"> 32(17) width="57"> 15(7) width="56"> 4(2) width="57"> 158(84) width="56"> 6(03) width="44"> 21(11) width="48"> 0(00)

Participants Sex width="261" nowrap="" colspan="5"> Participants’ Marital Status

width="111" colspan="2"> F width="112" colspan="2"> Male width="113" colspan="2"> Single width="148" colspan="3"> Married

Frequency (%) width="111" colspan="2"> 1(01) width="112" colspan="2"> 188(99) width="113" colspan="2"> 57(30) width="148" colspan="3"> 132(70)

> 




Table 1 indicates that among the 188 instructors in the 8 cadet colleges that were part of the study, the majority (99.5%) are male, while 69.8% are married, and 45.5% fall within the age range of 31 to 40. Out of the total, 158 individuals, which accounts for 84%, hold master's degrees.




 >Table 2 align="center">

> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >

Independent Variable (IV) width="360" nowrap="" colspan="7"> Correlation Coefficient width="96" colspan="2"> Interpretation

Factors width="90"> Job Satisfaction width="53" nowrap=""> 0.629** width="49" nowrap=""> width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> High width="36" rowspan="55"> Turnover Intention (DV) align="center">  align="center">

Managerial Factor width="53" nowrap=""> 0.586** width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> High

Job Stress width="53" nowrap=""> 0.573** width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> High

Family Factor width="53" nowrap=""> 0.567** width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> High

Individual Factor width="53" nowrap=""> 0.501** width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> High

Financial Factor width="53" nowrap=""> 0.387** width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Financial Factors Dimensions width="90"> Teacher’s Salary width="53" nowrap="">   width="49" nowrap=""> 0.391** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Financial Benefits for Teachers width="53" nowrap="">   width="49" nowrap=""> 0.386** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Pensionable  Job width="53" nowrap="">   width="49" nowrap=""> 0.384** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Allowances for Teacher width="53" nowrap="">   width="49" nowrap=""> 0.366** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Promotion Opportunities width="53" nowrap="">   width="49" nowrap=""> 0.317** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

GP Fund width="53" nowrap="">   width="49" nowrap=""> 0.283** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Scholarships for Teacher Children width="53" nowrap="">   width="49" nowrap=""> 0.203** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Higher Qualification Allowance width="53" nowrap="">   width="49" nowrap=""> 0.179** width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Incentives for Professional Development width="53" nowrap="">   width="49" nowrap=""> 0.152* width="54">   width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Managerial Factor Dimensions width="90"> Teacher's Job Security width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.557** width="54">   width="42">   width="54">   width="54">   width="60"> High

Well-defined/Described Job width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.516** width="54">   width="42">   width="54">   width="54">   width="60"> High

Friendly College Policies width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.472** width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Owning Teacher's Decisions width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.472** width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Fairness in Decision-making width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.467** width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

The Reward of Teacher's Work width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.444** width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Teacher Empowerment width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.388** width="54">   width="42">   width="54">   width="54">   width="60"> Moderate

Performance Based Promotion width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.282** width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Incentives for Additional Duties width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.250** width="54">   width="42">   width="54">   width="54">   width="60"> Weak

The reputation of the College width="53" nowrap="">   width="49" nowrap="">   width="54"> 0.247** width="54">   width="42">   width="54">   width="54">   width="60"> Weak

Job Satisfaction Dimensions width="90" valign="bottom"> Freedom of Expression width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.564** width="42">   width="54">   width="54">   width="60"> High

Teachers Friendly Rules and Regulations width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.553** width="42">   width="54">   width="54">   width="60"> High

Time for Domestic Activities width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.533** width="42">   width="54">   width="54">   width="60"> High

Welfare Measure for the Teachers width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.490** width="42">   width="54">   width="54">   width="60"> Moderate

Time for Improving Qualifications width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.479** width="42">   width="54">   width="54">   width="60"> Moderate

Fringe Benefits for Teachers width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.465** width="42">   width="54">   width="54">   width="60"> Moderate

Involvement in Decision-making width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.398** width="42">   width="54">   width="54">   width="60"> Moderate

Approved Rules and Regulations width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.376** width="42">   width="54">   width="54">   width="60"> Moderate

Leaving College because Colleagues Joining other Institutions width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.350** width="42">   width="54">   width="54">   width="60"> Moderate

Salary Meeting Teachers' Need width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.347** width="42">   width="54">   width="54">   width="60"> Moderate

Relationships between Teachers width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.341** width="42">   width="54">   width="54">   width="60"> Moderate

Work Environment width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.321** width="42">   width="54">   width="54">   width="60"> Moderate

College Location width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.292** width="42">   width="54">   width="54">   width="60"> Weak

Unceremonial Teachers Termination width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.291* width="42">   width="54">   width="54">   width="60"> Weak

Conflicts among Teachers width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54"> 0.165* width="42">   width="54">   width="54">   width="60"> Weak

Job Stress Dimensions width="90" valign="bottom"> Friendly and Supportive Principal width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42"> 0.517** width="54" valign="bottom">   width="54">   width="60"> High

Principal Authoritative Attitude width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42"> 0.450** width="54" valign="bottom">   width="54">   width="60"> Moderate

Teaching at College Stressful Job width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42"> 0.448* width="54" valign="bottom">   width="54">   width="60"> Moderate

Teachers Overburdened width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42"> 0.400** width="54" valign="bottom">   width="54">   width="60"> Moderate

Teacher's Not Trained for Work Demands width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42"> 0.161* width="54" valign="bottom">   width="54">   width="60"> Weak

Individual Factors Dimensions width="90" valign="bottom"> Ease to Commute to College width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54"> 0.451** width="54" valign="bottom">   width="60"> Moderate

Bachelor Accommodation width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54"> 0.366** width="54" valign="bottom">   width="60"> Moderate

Job Not Fulfilling Expectations width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54"> 0.357** width="54" valign="bottom">   width="60"> Moderate

College Reputation width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54"> 0.234** width="54" valign="bottom">   width="60"> Weak

Health Problems Forcing Quit Job width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54"> 0.02 width="54" valign="bottom">   width="60"> Insignificant

Family Factor Dimensions width="90" valign="bottom"> Family Accommodation for Teacher width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54"> 0.483** width="60" valign="top"> Moderate

Insufficient time for family width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54"> 0.400** width="60" valign="top"> Moderate

Reserve Seats for Teacher’s son width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54"> 0.376** width="60" valign="top"> Moderate

Medical Allowance for Teachers & family width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54"> 0.292** width="60" valign="top"> Weak

Educational Institutions for width="53" nowrap="">   width="49" nowrap="">   width="54">   width="54">   width="42">   width="54">   width="54"> 0.191** width="60" valign="top"> Weak

>** Correlation Significant at 0.01 (2-tailed), * Correlation Significant at 0.05 (2-tailed), n=189, Dependent variable = Turnover Intention> 




The study found that job satisfaction, managerial factor, job stress, family factor, and individual factor are highly correlated with turnover intention (r =.629, p =.000; r =.586, p =.000; r =.573, p =.000; r =.567, p =.000; r =.501, p =.000). Financial security, on the other hand, has a moderate correlation with turnover intention.>There is a moderately significant correlation between turnover intent and five dimensions of financial factors: teacher's salary (r =.391, p =.000), financial benefits for teachers (r =.386, p =.000), pensionable jobs (r = -.384, p =.000), teacher allowances (r =.366, p =.000), and promotion opportunities for teachers (r =.317, p =.000).>There is a moderately strong correlation between five managerial factors and turnover intent, a weak correlation between three managerial factors, and a moderate correlation between two managerial factors (teacher job security and job description). >Three dimensions of job satisfaction i.e., freedom of expression (r =.564, p = .000), teachers’ friendly rules and regulations (r = .553, p = .000) and time for domestic activities (r = .533, p = .000) have high significant correlation with turnover intention while its nine dimensions have significant moderate correlation and the remaining three have weak significant correlation with turnover intention. >One of the five characteristics of job stress is strongly connected with teachers' intentions to leave their positions at cadet colleges, while three others are somewhat correlated, and the fifth is weakly correlated. >Turnover intent is not strongly correlated with any of the individual factors. There is a weak correlation between college reputation (r =.234,.001) and intention to leave, while there is a moderately significant correlation between ease of commuting to college (r =.451, p =.000), availability of bachelor accommodation (r =.366, p =.000), and job not meeting expectations (r =.357, p =.000).>The characteristics of family factors and turnover intention did not significantly correlate with one another. Three factors, such as the availability of family housing for teachers (r =.483, p =.000), the lack of family time (r =.400, p =.000), and reserved seats for teachers' sons (r =.376, p =.000), have a significant moderate correlation with turnover intention, whereas two factors, such as the availability of medical insurance for teachers and their families (r =.292, p =.000), and the accessibility of nearby educational institutions.




 > > >Table 3. Factors and Their Dimensions that Contribute to Turnover Intention align="center">

> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > height="0">

Factors

Multiple R width="138" colspan="3"> Coefficient of Determination (R2) width="66"> Adjusted align="center">R2 width="95"> Standard Error of Estimation width="43"> F width="39"> Sig.

.71 width="138" colspan="3"> .50 width="66"> .49 width="95"> .82089 width="43"> 46.13 width="39"> .000

Model Components width="64"> B width="74" colspan="2"> Std. Error width="66"> Beta width="95"> T width="82" colspan="2"> Sig.

(Constant) width="64" nowrap=""> -.880 width="74" nowrap="" colspan="2"> .319 width="66" nowrap=""> width="95" nowrap=""> -2.756 width="82" nowrap="" colspan="2"> .006

Job Satisfaction width="64" nowrap=""> .346 width="74" nowrap="" colspan="2"> .129 width="66" nowrap=""> .23 width="95" nowrap=""> 2.688 width="82" nowrap="" colspan="2"> .008

Job Stress width="64" nowrap=""> .357 width="74" nowrap="" colspan="2"> .090 width="66" nowrap=""> .26 width="95" nowrap=""> 3.957 width="82" nowrap="" colspan="2"> .000

Individual Factor width="64" nowrap=""> .312 width="74" nowrap="" colspan="2"> .104 width="66" nowrap=""> .19 width="95" nowrap=""> 2.996 width="82" nowrap="" colspan="2"> .003

Family Factor width="64" nowrap=""> .272 width="74" nowrap="" colspan="2"> .107 width="66" nowrap=""> .20 width="95" nowrap=""> 2.536 width="82" nowrap="" colspan="2"> .012

Dimensions of Financial Factor width="39">

Multiple R width="138" colspan="3"> Coefficient of Determination (R2) width="66"> Adjusted align="center">R2 width="95"> Standard Error of Estimation width="43"> F width="39"> Sig.

.51 width="138" colspan="3"> .26 width="66"> .25 width="95"> .99868 width="43"> 21.33 width="39"> .000

Model Components width="67" colspan="2"> B width="72"> Std. Error width="66"> Beta width="95"> T width="82" colspan="2"> Sig.

(Constant) width="67" nowrap="" colspan="2"> 2.498 width="72" nowrap=""> .349 width="66" nowrap=""> width="95" nowrap=""> 7.153 width="82" nowrap="" colspan="2"> .000

Teacher's Salary width="67" nowrap="" colspan="2"> .238 width="72" nowrap=""> .064 width="66" nowrap=""> .26 width="95" nowrap=""> 3.699 width="82" nowrap="" colspan="2"> .000

Pensionable Job width="67" nowrap="" colspan="2"> -.240 width="72" nowrap=""> .052 width="66" nowrap=""> -.31 width="95" nowrap=""> -4.608 width="82" nowrap="" colspan="2"> .000

GP Fund width="67" nowrap="" colspan="2"> .128 width="72" nowrap=""> .053 width="66" nowrap=""> .16 width="95" nowrap=""> 2.398 width="82" nowrap="" colspan="2"> .017

Dimensions of Managerial  Factor

Multiple R width="138" colspan="3"> Coefficient of Determination (R2) width="66"> Adjusted R2 width="95"> Standard Error of Estimation width="43"> F width="39"> Sig.

.63 width="138" colspan="3"> .40 width="66"> .39 width="95"> .89669 width="43"> 41.28 width="39"> .000

Model Components width="67" colspan="2"> B width="72"> Std. Error width="66"> Beta width="95"> T width="82" colspan="2"> Sig.

(Constant) width="67" nowrap="" colspan="2"> .975 width="72" nowrap=""> .204 width="66" nowrap=""> width="95" nowrap=""> 4.776 width="82" nowrap="" colspan="2"> .000

Teacher’s Job Security width="67" nowrap="" colspan="2"> .298 width="72" nowrap=""> .056 width="66" nowrap=""> .36 width="95" nowrap=""> 5.324 width="82" nowrap="" colspan="2"> .000

Fairness  in Decision-making width="67" nowrap="" colspan="2"> .181 width="72" nowrap=""> .065 width="66" nowrap=""> .20 width="95" nowrap=""> 2.798 width="82" nowrap="" colspan="2"> .006

Well-defined/Described Job width="67" nowrap="" colspan="2"> .189 width="72" nowrap=""> .070 width="66" nowrap=""> .21 width="95" nowrap=""> 2.700 width="82" nowrap="" colspan="2"> .008

Dimensions of Job Satisfaction

Multiple R width="138" colspan="3"> Coefficient of Determination (R2) width="66"> Adjusted R2 width="95"> Standard Error of Estimation width="43"> F width="39"> Sig.

.67 width="138" colspan="3"> .45 width="66"> .43 width="95"> .86652 width="43"> 29.55 width="39"> .000

Model Components width="67" colspan="2"> B width="72"> Std. Error width="66"> Beta width="95"> T width="82" colspan="2"> Sig.

(Constant) width="67" nowrap="" colspan="2"> .485 width="72" nowrap=""> .266 width="66" nowrap=""> width="95" nowrap=""> 1.823 width="82" nowrap="" colspan="2"> .070

Freedom of Expression width="67" nowrap="" colspan="2"> .169 width="72" nowrap=""> .072 width="66" nowrap=""> .20 width="95" nowrap=""> 2.351 width="82" nowrap="" colspan="2" valign="top"> .020

Time for Domestic Activities width="67" nowrap="" colspan="2"> .165 width="72" nowrap=""> .065 width="66" nowrap=""> .19 width="95" nowrap=""> 2.520 width="82" nowrap="" colspan="2" valign="top"> .013

Colleagues Joining Other Institutions width="67" nowrap="" colspan="2"> .218 width="72" nowrap=""> .060 width="66" nowrap=""> .22 width="95" nowrap=""> 3.668 width="82" nowrap="" colspan="2"> .000

Teachers Friendly Rules & Regulations width="67" nowrap="" colspan="2"> .194 width="72" nowrap=""> .072 width="66" nowrap=""> .22 width="95" nowrap=""> 2.678 width="82" nowrap="" colspan="2"> .008

Working Environment width="67" nowrap="" colspan="2"> .129 width="72" nowrap=""> .064 width="66" nowrap=""> .13 width="95" nowrap=""> 2.020 width="82" nowrap="" colspan="2"> .045

width="64"> width="2"> width="72"> width="66"> width="95"> width="43"> width="39">

> 




The above table shows that en-bloc contributes 50% (P=.000), job satisfaction 23% (P=.008), job stress 26% (P=.000), individual and family factors 19% (P=.000), and 20% (P=.012), respectively.>The combined effect of the salaries of teachers (26%, P=.000), the pensionable employment rate (31%, P=.000), and the GP fund Facility (16%, P=.017) is 26% (P=.000). Teacher job stability, decision-making that is fair, and having clearly defined expectations are all aspects of the Managerial Factor. Turnover intent varies by 36% (P=.000), 20% (P=.006), and 21% (P=.008), all of >which may be attributed to the job. >45% (P=.000) of the variation in turnover intention can be attributed to the five factors of job satisfaction (freedom of expression, time for domestic activities, colleagues joining other institutions, teacher-friendly rules and regulations, and the working environment at the College).




 >Table 4. Dimensions of the Factors that Contribute to Turnover Intention among the Teachers align="center">

> > > > > > > > > > > > > > > > > > > > > > >

Dimensions of Job Stress >

Multiple R width="125" colspan="2"> Coefficient of Determination (R2) width="70"> Adjusted R2 width="84"> Standard Error of Estimation width="48"> F width="37"> Sig. >

.61 width="125" colspan="2"> .37 width="70"> .36 width="84"> .92052 width="48"> 36.02 width="37"> .000 >

Model Components width="54"> B width="71"> Std. Error width="70"> Beta width="84"> T width="85" colspan="2"> Sig. >

(Constant) width="54" nowrap=""> .919 width="71" nowrap=""> .208 width="70" nowrap=""> width="84" nowrap=""> 4.430 width="85" nowrap="" colspan="2"> .000 >

Friendly and Supportive Principal width="54" nowrap=""> .328 width="71" nowrap=""> .061 width="70" nowrap=""> .36 width="84" nowrap=""> 5.389 width="85" nowrap="" colspan="2"> .000 >

Principal's Authoritative Attitude width="54" nowrap=""> .208 width="71" nowrap=""> .062 width="70" nowrap=""> .23 width="84" nowrap=""> 3.355 width="85" nowrap="" colspan="2"> .001 >

Teaching Stressful Job width="54" nowrap=""> .179 width="71" nowrap=""> .069 width="70" nowrap=""> .18 width="84" nowrap=""> 2.578 width="85" nowrap="" colspan="2"> .011 >

Dimensions of Individual Factor >

Multiple R width="125" colspan="2"> Coefficient of Determination (R2) width="70"> Adjusted R2 width="84"> Standard Error of Estimation width="48"> F width="37"> Sig. >

.57 width="125" colspan="2"> .33 width="70"> .32 width="84"> .95049 width="48"> 29.96 width="37"> .000 >

Model Components width="54"> B width="71"> Std. Error width="70"> Beta width="84"> T width="85" colspan="2"> Sig. >

(Constant) width="54" nowrap=""> .588 width="71" nowrap=""> .279 width="70" nowrap=""> width="84" nowrap=""> 2.110 width="85" nowrap="" colspan="2"> .036 >

Ease of Commute to College width="54" nowrap=""> .280 width="71" nowrap=""> .060 width="70" nowrap=""> .32 width="84" nowrap=""> 4.663 width="85" nowrap="" colspan="2"> .000 >

Job Not Fulfilling Expectations width="54" nowrap=""> .275 width="71" nowrap=""> .056 width="70" nowrap=""> .30 width="84" nowrap=""> 4.953 width="85" nowrap="" colspan="2"> .000 >

Bachelor Accommodation width="54" nowrap=""> .209 width="71" nowrap=""> .067 width="70" nowrap=""> .21 width="84" nowrap=""> 3.102 width="85" nowrap="" colspan="2"> .002 >

Dimensions of Family Factor

Multiple R width="125" colspan="2"> Coefficient of Determination (R2) width="70"> Adjusted R2 width="84"> Standard Error of Estimation width="48"> F width="38" colspan="2"> Sig.

.60 width="125" colspan="2"> .36 width="70"> .35 width="84"> .92364 width="48"> 35.36 width="38" colspan="2"> .000

Model Components width="54"> B width="71"> Std. Error width="70"> Beta width="84"> T width="86" colspan="3"> Sig.

(Constant) width="54" nowrap=""> .844 width="71" nowrap=""> .217 width="70" nowrap=""> width="84" nowrap=""> 3.898 width="86" nowrap="" colspan="3"> .000

Family Accommodation width="54" nowrap=""> .291 width="71" nowrap=""> .054 width="70" nowrap=""> .34 width="84" nowrap=""> 5.404 width="86" nowrap="" colspan="3"> .000

Insufficient time for family width="54" nowrap=""> .243 width="71" nowrap=""> .055 width="70" nowrap=""> .27 width="84" nowrap=""> 4.451 width="86" nowrap="" colspan="3"> .000

Reserve Seats for Teachers' Son width="54" nowrap=""> .199 width="71" nowrap=""> .050 width="70" nowrap=""> .24 width="84" nowrap=""> 3.961 width="86" nowrap="" colspan="3"> .000

> 




The above table illustrates that the three sources of job stress—a principal who is pleasant and supportive, a principal who is authoritative, and a hard job in teaching—together account for 37% (P=.000) of the variance in the intention to leave.

Individual differences along the variables of college commute time (32%, P=.000), job satisfaction (21%, P=.002), and living arrangements (31%, P=.000) account for 33% (P=.000) of the variance in intent to leave.

There are three aspects of family life that contribute significantly to teachers' intentions to leave the profession: inadequate time to spend with family (34%, P=.000); inadequate housing for teachers' families (27%, P=.000); and reserved seating for teachers' sons (24%, P=.000).

Main Findings

1. Job satisfaction emerged as a significant factor influencing teachers' turnover intention in Cadet Colleges in Khyber Pakhtunkhwa. Teachers who reported higher levels of job satisfaction were less likely to have turnover intentions.

2. The study revealed that teachers' perceptions of their compensation and benefits played a crucial role in turnover intention. Higher levels of dissatisfaction with pay and benefits increased the likelihood of turnover intention among teachers.

3. The availability of professional development opportunities was found to be a significant factor influencing teachers' turnover intention. Teachers who perceived limited growth prospects and insufficient opportunities for professional development were more likely to have turnover intentions.

4. The level of organizational support provided to teachers was found to impact their turnover intention. Teachers who perceived higher levels of support from their superiors and colleagues were less likely to have turnover intentions.

5. The study identified workload and job demands as significant contributors to teachers' turnover intention. Teachers who experienced high workloads, excessive administrative tasks, and job demands were more likely to express turnover intentions.

6. The effectiveness of leadership within Cadet Colleges emerged as an influential factor. Teachers who perceived ineffective leadership, lack of communication, and inadequate decision-making processes were more likely to have turnover intentions.

7. The study found that teachers' perceptions of their work-life balance significantly influenced turnover intention. Teachers who reported difficulties in maintaining a healthy work-life balance were more likely to express intentions to leave their current positions.

8. The level of job security perceived by teachers had an impact on their turnover intention. Teachers who felt insecure in their positions, such as due to temporary contracts or lack of job stability, were more likely to express intentions to leave.

9. The study highlighted the importance of organizational culture in influencing teachers' turnover intention. Teachers who perceived a negative or toxic work environment were more likely to have intentions to quit.

10. Lastly, personal factors, such as age, marital status, and years of teaching experience, were found to have a significant but relatively moderate influence on teachers' turnover intention.

These findings provide valuable insights into the factors that contribute to teachers' turnover intention in Cadet Colleges in Khyber Pakhtunkhwa. Understanding these factors can help educational institutions and policymakers develop effective strategies and interventions to enhance teacher retention and promote a positive work environment within the education sector.

Discussion of the Findings

The research examined the phenomenon of faculty turnover within cadet colleges located in the Khyber Pakhtunkhwa region. The factors that were taken into consideration include financial, managerial, job satisfaction, job stress, individual, and family. The study findings suggest that factors such as individual characteristics, familial circumstances, occupational stress, and job contentment serve as mediators in the relationship between job satisfaction and employee turnover. The correlation between management style, remuneration, job satisfaction and the likelihood of an individual's intention to leave their current job is noteworthy.  These findings corroborate the job satisfaction-quit tendency link. Senior and talented employees leaving lowers morale and increases turnover (Bhatti & Qureshi, 2007; Glebbeek & Bax, 2004; Temple, Dobbs, & Andel, 2011); (Perryer, Jordan, Firns, & Travaglione, 2010). Occupational stress predicted willingness to leave second most out of the six traits. Cadet colleges are managed by military officers who value discipline and power, so this is understandable. (Eaton, 2001). The positive results of the survey regarding the turnover intentions of the participants align with the research conducted by (Pillay, Goddard, & Wilss, 2005), which revealed that a significant proportion of the sample consisted of married males. 

Conclusions

Turnover intent is highly correlated with five of the six examined criteria, and somewhat correlated with the remaining financial element. Turnover intent is significantly correlated with multiple aspects of these characteristics. Similar to how job happiness, job stress, and personal and family issues all play a role, these three selected criteria account for the bulk of turnover intent. Taken separately, these variables contribute to a model that explains the wide range of resignation intentions among cadet college instructors in Khyber Pakhtunkhwa. All of the hypotheses were correct, and the study's results prove them.

Recommendations

1. Evaluate the quantity and nature of tasks assigned to educators and pinpoint specific domains where it may be feasible to diminish or enhance its management. It is advisable to contemplate the recruitment of supplementary personnel or the reallocation of duties to guarantee that educators are presented with a feasible workload.

2. Facilitate efficient communication channels among educators, executives, and leadership to enhance organisational effectiveness. To foster effective collaboration, it is recommended to promote open dialogue, establish feedback mechanisms, and implement a participatory decision-making process to address concerns.

3. It is recommended to allocate resources towards professional development initiatives that are tailored to meet the unique requirements of educators in cadet colleges. Provide instructional sessions and seminars that concentrate on augmenting pedagogical techniques, subject matter expertise, and teaching proficiency.

4. It is crucial to acknowledge the significance of maintaining a work-life balance for educators. Incorporate measures and protocols that promote a favourable equilibrium between work and personal life, such as adaptable scheduling, absence regulations, and avenues for individual development.




Recommendations for Further Study

1. A comparative analysis is necessary to assess the propensity of teachers to leave their positions in cadet colleges in comparison to those in other educational establishments. Determine distinctive variables that influence the propensity to leave employment in the setting of cadet colleges.

2. Additional research is necessary to examine the efficacy of various support mechanisms, including mentoring initiatives, peer collaboration, and professional networks, in mitigating the inclination of educators to leave their positions in cadet colleges.

References

• Bhatti, K. K., & Qureshi, T. M. (2007). Impact of employee participation on job satisfaction, employee commitment and employee productivity. International review of business research papers, 3(2), 54-68.
• Eaton, S. C. (2001). What a difference management makes! Nursing staff turnover variation within a single labor market. Paper presented at the Report to Congress: Appropriateness of minimum nurse staffing ratios in nursing homes phase II final report.
• Esop, M., & Timms, C. (2019). Relevance of organisational support on academics’ affective commitment and turnover intentions. Journal of Applied Research in Higher Education, 11(1), 118–128.
  https://doi.org/10.1108/jarhe-07-2018-0126
• Flammarion, P., Devaux, A., Nehls, S., Migeon, B., Noury, P., & Garric, J. (2002). Multibiomarker Responses in Fish from the Moselle River (France). Ecotoxicology and Environmental Safety, 51(2), 145–153.
  https://doi.org/10.1006/eesa.2001.2134
• Ghiselli, R. (2001). Job satisfaction, life satisfaction, and turnover intent among food-service managers. The Cornell Hotel and Restaurant Administration Quarterly, 42(2), 28–37.
  https://doi.org/10.1016/s0010-8804(01)80036-7
• Glebbeek, A. C., & Bax, E. H. (2004). Is High Employee Turnover Really Harmful? An Empirical Test Using Company Records. Academy of Management Journal, 47(2), 277–286.
  https://doi.org/10.5465/20159578
• Holtom, B. C., Mitchell, T. R., Lee, T. W., & Eberly, M. B. (2008). Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future. The Academy of Management Annals, 2(1), 231–274.
  https://doi.org/10.1080/19416520802211552
• Khatri, N., Fern, C. T., & Budhwar, P. (2001). Explaining employee turnover in an Asian context. Human Resource Management Journal, 11(1), 54–74.
  https://doi.org/10.1111/j.1748-8583.2001.tb00032.x
• Kim, M., Knutson, B. J., & Choi, L. (2015). The Effects of Employee Voice and Delight on Job Satisfaction and Behaviors: Comparison Between Employee Generations. Journal of Hospitality Marketing & Management, 25(5), 563–588.
  https://doi.org/10.1080/19368623.2015.1067665
• Koh, H. C., & Goh, C. T. (1995). An analysis of the factors affecting the turnover intention of non-managerial clerical staff: a Singapore study. The International Journal of Human Resource Management, 6(1), 103–125.
  https://doi.org/10.1080/09585199500000005
• Koul, R. B., & Fisher, D. L. (2006). A contemporary study of learning environments in Jammu, India. In Contemporary approaches to research on learning environments: Worldviews (pp. 273-296): World Scientific.
• Ladd, H. F., & Sorensen, L. C. (2017). Returns to Teacher Experience: Student Achievement and Motivation in Middle School. Education Finance and Policy, 12(2), 241–279.
  https://doi.org/10.1162/edfp_a_00194
• Liu, H., Huang, Y., Duan, W., Qiao, C., Shen, Q., & Li, R. (2020). Microbial community composition turnover and function in the mesophilic phase predetermine chicken manure composting efficiency. Bioresource Technology, 313, 123658–123658.
  https://doi.org/10.1016/j.biortech.2020.123658
• Perez, J., & Mirabella, J. (2013). The relationship between leadership practices and restaurant employee turnover. International Journal of Accounting Information Science & Leadership, 6(18), 40-47.
• Perryer, C., Jordan, C., Firns, I., & Travaglione, A. (2010). Predicting turnover intentions: The interactive effects of organizational commitment and perceived organizational support. Management Research Review, 33(9), 911–923.
  https://doi.org/10.1108/01409171011070323
• Pillay, H., Goddard, R., & Wilss, L. (2005). Well- Being, Burnout and Competence: Implications for Teachers. Australian Journal of Teacher Education, 30(2).
  https://doi.org/10.14221/ajte.2005v30n2.3
• Sanderson, A. R., & Siegfried, J. J. (2003). Thinking about Competitive Balance. Journal of Sports Economics, 4(4), 255–279.
  https://doi.org/10.1177/1527002503257321
• Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, Job resources, and Their Relationship with Burnout and engagement: a multi-sample Study. Journal of Organizational Behavior, 25(3), 293–315.
  https://doi.org/10.1002/job.248
• Shah, I. A., Fakhr, Z., Ahmad, M. S., & Zaman, K. (2010). Measuring push, pull and personal factors affecting turnover intention: a case of university teachers in Pakistan. Review of Economic and Business studies, 3(1), 167-192.
  https://core.ac.uk/reader/6919830
• Shaw, J. D., Duffy, M. K., Johnson, J. L., & Lockhart, D. E. (2005). Turnover, Social Capital Losses, and Performance. Academy of Management Journal, 48(4), 594–606.
  https://doi.org/10.5465/amj.2005.17843940
• Sinniah, S., & Kamil, N. M. (2017). The influence of human resource practices on turnover intention: The case of a telecommunication company in Malaysia. Malaysian Management Review, 52(1), 45-61
• Staw, B. M. (1980). The Consequences of Turnover. Journal of Occupational Behaviour, 1(4), 253–273.
  http://www.jstor.org/stable/300014
• Swailes, S., & Al Fahdi, S. (2011). Voluntary Turnover in the Omani Public Sector: An Islamic Values Perspective. International Journal of Public Administration, 34(10), 682–692.
  https://doi.org/10.1080/01900692.2011.583770
• Taylor, S. L., & Cosenza, R. M. (1998). Reducing Turnover in Public Accounting Firms: An Internal Marketing Strategy. Journal of Professional Services Marketing, 17(2), 135– 157.
  https://doi.org/10.1300/j090v17n02_10
• Temple, A., Dobbs, D., & Andel, R. (2011). Exploring correlates of turnover among nursing assistants in the National Nursing Home Survey. JONA: The Journal of Nursing Administration, 41(Supplement), S34–S42.
  https://doi.org/10.1097/nna.0b013e318221c34b