| Literature DB >> 35401378 |
Bo Ning1, Hongqiang Liu2, Yiming Cui1.
Abstract
Although prior studies have extensively investigated the effect of working conditions upon professional satisfaction, the cross-national variance in the effect remains largely understudied due to technical or financial restrictions. The Teaching and Learning International Survey (TALIS) provides an opportunity to investigate the cross-country differences in the impact of working conditions upon principals' professional satisfaction. The current study attempts to investigate the overall and specific effects of principals' workplace environment satisfaction, rewards satisfaction, and workload stress on their professional satisfaction in 47 countries included in the TALIS 2018. The results indicate that workplace environment, rather than the typically regarded effort-reward issues, is the most powerful contributor to individual principals' professional satisfaction across 47 countries, while, in countries with low overall professional satisfaction, rewards satisfaction and workload stress are more powerful predictors for principals' professional satisfaction on the country level. This study may inform policymakers in school principal stimulation and retention that effective practice to stimulate and/or retain school principals may vary across countries and research findings derived from data on the individual level may not be applicable to practice on the country level.Entities:
Keywords: professional satisfaction; reward satisfaction; school principal; workload stress; workplace environment satisfaction
Year: 2022 PMID: 35401378 PMCID: PMC8990902 DOI: 10.3389/fpsyg.2022.834349
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
The TALIS average scores of principals’ job satisfaction with profession, workplace environment, rewards, and workload stress and their relations.
| Individual level |
| RM | WM | 1 | 2 | 3 | 4 |
| 1. Professional satisfaction | 8,708 | 8.39 (1.51) | 8.43 (8.87) | 1 | |||
| 2. Workplace environment satisfaction | 8,716 | 9.22 (1.26) | 9.25 (7.47) | 0.56 | 1 | ||
| 3. Rewards | 8,738 | 3.72 (1.03) | 3.8 (6.13) | 0.43 | 0.31 | 1 | |
| 4. Workload stress | 8,746 | 4.38 (1.26) | 4.45 (7.62) | −0.24 | −0.17 | −0.32 | 1 |
N, number of observations; RM, raw mean before imputation; WM, weighted mean after imputation. Standard deviations are in parentheses. The weighted standard deviations are calculated as
The country average scores of principals’ job satisfaction with profession, workplace environment, rewards, and workload stress and their relations.
| Country level |
| Mean | 1 | 2 | 3 | 4 |
| 1. Professional satisfaction | 47 | 8.34 (0.58) | 1 | |||
| 2. Workplace environment satisfaction | 47 | 9.19 (0.37) | 0.72 | 1 | ||
| 3. Rewards | 47 | 3.73 (0.39) | 0.53 | 0.44 | 1 | |
| 4. Workload stress | 47 | 4.41 (0.49) | −0.27 | −0.06 | −0.55 | 1 |
N, number of participant countries; Mean, senate mean of the country average scores. Standard deviations are in parentheses. In the calculation of the country average scores, imputed data with principal weights were accounted. In the calculation of senate means and relevant standard deviations of the country average scores, each country was accounted as a senate unit, without principal weights being accounted. Standard deviations are in parentheses. Similarly, in the calculation of the correlation coefficients, each country was accounted as a senate unit, without principal weights being accounted; p* < 0.0001.
Predicting principals’ professional satisfaction by their workplace environment satisfaction, rewards satisfaction, and workload stress.
| Parameter | Model 0 | Model 1 | Model 2 | Model 3 |
| Intercept | 8.34 | 2.72 | 6.35 | 9.61 |
| Workplace environment | 0.61 | |||
| Rewards | 0.53 | |||
| Workload stress | −0.29 | |||
| Variance components | ||||
| Between-country | 0.3 | 0.94 | 0.81 | 0.09 |
| Within-country | 68.7 | 48.49 | 58.49 | 64.47 |
| Variance explained (%) | ||||
| Between-countryΔ | −213.33% | −170% | 70% | |
| Within-countryΔ | 29.42% | 14.86% | 6.16% | |
| Fit statistics | ||||
| −2 Res Log Likelihood | 41,906 | 38,743 | 40,395 | 41,216 |
| AIC | 41,910 | 38,751 | 40,403 | 41,224 |
Standard errors are in parentheses.
FIGURE 1Principals’ workplace environment satisfaction and its effects on their professional satisfaction in each country.
FIGURE 2Principals’ rewards satisfaction and its effects on their professional satisfaction in each country.
FIGURE 3Principals’ workload stress and its effects on their professional satisfaction in each country.
The higher than the averages country-specific effects of workplace environment satisfaction, rewards satisfaction, and workload stress in TALIS 2018.
| Country | High workplace environment satisfaction effect | High rewards satisfaction effect | High workload stress effect | Professional satisfaction level |
| Bulgaria | Yes | Yes | Yes | Q1 |
| Chinese Taipei | Yes | Yes | Yes | Q1 |
| Italy | Yes | Yes | Yes | Q1 |
| Lithuania | Yes | Yes | Yes | Q1 |
| Malta | Yes | Yes | Yes | Q1 |
| Shanghai-China | Yes | Yes | Yes | Q1 |
| Slovak Republic | Yes | Yes | Yes | Q1 |
| Alberta-Canada | Yes | Yes | Yes | Q2 |
| Belgium | Yes | Yes | Yes | Q2 |
| Brazil | Yes | Yes | Yes | Q2 |
| England-United Kingdom | Yes | Yes | Yes | Q2 |
| Latvia | Yes | Yes | Yes | Q2 |
| Russian Federation | Yes | Yes | Yes | Q2 |
| Norway | Yes | Yes | Yes | Q3 |
| France | Yes | Yes | Q3 | |
| Sweden | Yes | Yes | Q3 | |
| United States | Yes | Yes | Q3 | |
| Croatia | Yes | Yes | Q2 | |
| Czech Republic | Yes | Q2 | ||
| Slovenia | Yes | Q2 | ||
| Cyprus | Yes | Q3 | ||
| Finland | Yes | Q3 | ||
| Hungary | Yes | Q3 | ||
| United Arab Emirates | Yes | Q3 | ||
| Australia | Yes | Q4 | ||
| Colombia | Yes | Q4 | ||
| Denmark | Yes | Q4 | ||
| Israel | Yes | Q4 | ||
| Saudi Arabia | Yes | Yes | Q1 | |
| South Africa | Yes | Yes | Q1 | |
| Turkey | Yes | Yes | Q1 | |
| New Zealand | Yes | Yes | Q2 | |
| Romania | Yes | Yes | Q2 | |
| Korea | Yes | Q3 | ||
| Japan | Yes | Q1 | ||
| Georgia | Yes | Q2 | ||
| Kazakhstan | Yes | Q2 | ||
| Estonia | Q3 | |||
| Portugal | Q3 | |||
| Viet Nam | Q3 | |||
| Austria | Q4 | |||
| CABA-Argentina | Q4 | |||
| Chile | Q4 | |||
| Mexico | Q4 | |||
| Netherlands | Q4 | |||
| Singapore | Q4 | |||
| Spain | Q4 |