Literature DB >> 35071698

Dataset on the safety behavior among Pakistani healthcare workers during COVID-19.

Muhammad Awais-E-Yazdan1, Muhammad Awais Ilyas2, Muhammad Qamar Aziz3, Muhammad Waqas2.   

Abstract

The dataset includes the particulars of 515 respondents on safety behavior during COVID-19. The questionnaires were adapted using Social Learning Theory and Social Exchange Theory. The variables included in dataset are Transactional Leadership (TSL), Transformational Leadership (TFL), Employee Well-Being (EWB) and Safety behavior (SB). Moreover, the dataset also contains the demographic profile of the respondents. Data was collected with the help of self-administered questionnaire from eight public hospitals in Punjab, Pakistan, namely Services Hospital Lahore, Sir Ganga Ram Hospital Lahore, Government General Hospital Faisalabad, DHQ Hospital Chiniot, Municipal General Hospital Sargodha, DHQ Hospital Jhang, DHQ Hospital Multan and Sulehri Children & General Hospital Sialkot. This dataset could provide a significant insight for future research in employee safety behavior.
© 2022 The Author(s).

Entities:  

Keywords:  Leadership styles; Safety compliance; Safety management; Workplace safety

Year:  2022        PMID: 35071698      PMCID: PMC8767930          DOI: 10.1016/j.dib.2022.107831

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table

Value of the Data

The dataset provide the evidence that organizations should implement workplace policies and procedures that influence safety behavior. The dataset is useful to address other related issues. For instance: safety climate, safety culture and safety citizenship behavior. The dataset is helpful to predict the attitude and behavior of employees at early stage of employment. The dataset focused on the hurdles which slow down the leadership practices in order to achieve a safe work environment. The dataset advocates that management must invest to satisfy the psychological needs of the workers to shine their basic workplace skills. The dataset could be used by other researchers in order to compare this data with other data obtain from related studies but different geographic regions.

Data Description

The dataset includes the questions related to four constructs: Transactional leadership (TSL), Transformational leadership (TFL), Employee well-being (EWB) and Safety behavior (SB). Definitions of all constructs and references relating to instrument are given in Table 1.
Table 1

Variables, code, definition and reference of each instrument.

VariableCodeDefinitionReferences of the instrument
Transactional leadershipTSLIt refers to an exchange process where leaders and followers exchange valuable information with each other.[2,3]
Transformational leadershipTFLA type of leadership which morally and ethically support both leaders and their followers in a mutual consent.1,3]
Employee well-beingEWBRefers to the physical (tiredness, muscular pain & headache) and mental (anxiety, self-respect & depression) factors of the individuals.[4,5]
Safety behaviorSBIt refers to maintain the safe working standard by wearing personal protective equipment.[6,7]
Variables, code, definition and reference of each instrument. The SPSS sheet along with questionnaire are given as a supplementary file. The questionnaires for TSL and TFL were adapted [3] to explain the relationship by incorporating social learning theory. Similarly, the questionnaires for SB and EWB are also adapted [5,7]. The relationship between EWB and SB were explained by social exchange theory. Five-point Likert scale ranging (1= strongly dis-agree, 2= dis-agree, 3= neutral, 4= agree, 5= strongly agree) was incorporated which enhance the quality of responses and lower the tiredness of the respondents. TSL consist of five items, whereas TFL consist of six items. Items for TSL and TFL were adapted from previous study [3]. In addition, items for EWB and SB were adapted from different studies [5,7] with three and seven items respectively. Structural Equation Modeling technique using smart PLS 3.2.6 has been incorporated to explain the measurement and structural model.

Materials and Methods

Data was gathered through convenience sampling. It is a type of non-probability technique in which the data is collected from the people easily to approach. Data is collected from the public hospitals of Punjab Pakistan. Province Punjab is selected for data collection as it is the second most populous province and is known for quality hospitals. Data was entered and coded in SPSS software. All the preliminary tests were conducted on SPSS. For the main analysis Smart PLS 3.2.6 was used. Loadings, average variance extracted and composite reliability. Note: AVE = Average Variance Extracted, CR = Composite Reliability.

Loadings, composite reliability and average variance extracted

Individual item reliability of construct above 0.30 can be retained [8]. Similarly, items must be removed if the removal increase the value of average variance extracted (AVE) and composite reliability (CR). Therefore, the present dataset removed one item (SC2) as the removal increase the value of AVE and CR. In addition, the value of AVE is above than 0.5 which means convergent validity is established. Table 2 shows the adequate, individual item reliability, CR and AVE of the study's constructs.
Table 2

Loadings, average variance extracted and composite reliability.

ConstructsItemsLoadingsAVECR
Transactional leadershipTSL10.7280.5520.860
TSL20.729
TSL30.813
TSL40.753
TSL50.688
Transformational leadershipTFL10.5870.5150.863
TFL20.796
TFL30.793
TFL40.744
TFL50.713
TFL60.649
Employee well-beingEWB10.8200.6550.850
EWB20.801
EWB30.806
Safety complianceSC10.6580.5140.863
SC30.819
SC40.786
SC50.725
SC60.661
SC70.633

Note: AVE = Average Variance Extracted, CR = Composite Reliability.

Discriminant validity is considered valid as the values in Tables 3, 4 and 5 were in acceptable range.
Table 3

Latent variable correlations and square roots of (AVE).

EWBSCTFLTSL
EWB0.809
SC0.3140.717
TFL0.4570.6120.718
TSL0.2580.6560.6730.743

Note: Entries in the boldface represent the square root of average variance extracted (AVE).

Table 4

Cross loadings.

EWBSCTFLTSL
EWB10.8200.2940.4880.284
EWB20.8010.1790.3280.176
EWB30.8060.2610.2660.147
SC10.3840.6580.5150.376
SC30.2930.8190.5110.513
SC40.2450.7860.4820.450
SC50.0970.7250.3890.545
SC60.1280.6610.3370.410
SC70.1860.6330.3780.510
TFL10.2270.4300.5870.561
TFL20.2870.5490.7960.639
TFL30.2960.4280.7930.642
TFL40.4150.4400.7440.380
TFL50.4060.4210.7130.327
TFL60.3660.3170.6490.256
TSL10.1700.4910.3940.728
TSL20.2030.4970.4180.729
TSL30.2320.5650.6640.813
TSL40.1490.4260.5340.753
TSL50.1950.4400.4760.688
Table 5

HTMT correlation matrix for discriminant validity.

EWBSCTFLTSL
EWB-
SC0.385-
TFL0.5830.741-
TSL0.3220.8100.808-
Latent variable correlations and square roots of (AVE). Note: Entries in the boldface represent the square root of average variance extracted (AVE). Cross loadings. HTMT correlation matrix for discriminant validity.

Ethics Statement

It is stated that the consent was taken from each individual who participated in this survey.

CRediT authorship contribution statement

Muhammad Awais-E-Yazdan: Conceptualization, Data curation, Writing – review & editing, Methodology. Muhammad Awais Ilyas: Visualization, Software. Muhammad Qamar Aziz: Investigation, Validation. Muhammad Waqas: Supervision.

Declaration of Competing Interest

The authors declared that there is no conflict of interest either financial or personal among them.
SubjectOrganizational behavior
Specific subject areaHuman resource management
Type of dataTable
How data was acquiredData was collected through self-administered questionnaire using five point likert scale. The data also includes demographic features of respondents.
Data formatRaw, analyzed
Description of data collectionData was collected via self-administered questionnaire in Punjab province. Total 550 questionnaires were distributed and after removing incomplete questionnaires only 515 were used in data analysis. It took 3 months for data collection.
Data source locationHospitals: Services Hospital Lahore, Sir Ganga Ram Hospital Lahore, Government General Hospital Faisalabad, DHQ Hospital Chiniot, Municipal General Hospital Sargodha, DHQ Hospital Jhang, DHQ Hospital Multan and Sulehri Children & General Hospital Sialkot.Country: Pakistan
Data AccessibilityRepository name: Mendeley dataData identification number:Direct URL to data: https://data.mendeley.com/datasets/wt2dbjcgc8/draft?a=703cfd69-8e84-47f1-884f-8df3e61a0774
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