The dataset for the stages of concerns of public-school teachers towards the use of e-learning platform: Malaysian context

This dataset contains demographic information of 355 respondents and a validated 32-items Stages of Concerns Questionnaire (SoCQ). The SoCQ questionnaire was developed based on the Concerns-Based Adoption Model (CBAM) which measures seven stages of concerns as the variables. They are unconcerned, informational, personal, management, consequence, collaboration and refocusing. The data was firstly tested with normality, followed by validity checking using confirmatory factor analysis (CFA). It is useful for policy makers and stakeholders to have a thorough understanding about teachers’ concerns on the use of the e-learning platform and thus, design suitable interventions to smoothen the adoption process of using the technology. This set of data could be used in a multi-racial developing country for more complex analyses.


Data description
This dataset contains variables' definition (Table 1), different versions of the instrument throughout the validation process, a manual to interpret the stages of concerns [2] and a 32-items Stages of Concerns Questionnaire (SoCQ). The SoCQ was distributed to all the public-school teachers that responded to the email sent out by the researcher. The values of Skewness and Kurtosis were calculated for the normality test. Then, the convergent and discriminant validity of the instrument is established by Covariance-Based Structural Equation Modelling (CB-SEM). The data were accessible at https://data.mendeley.com/datasets/ztgbtpn36p/1. Fig. 3 shows the final fitted model.

Concerned-based adoption model (CBAM)
There are three diagnostic dimensions in Concerns-Based Adoption Model. They are (i) stages of concerns, (ii) level of use, and (iii) innovation configurations. In this study, the SoCQ was adapted and distributed to the public schools' teachers. The stages of concerns were initially conceptualized as three phases and user would move from one phase to another. The phases are: (i) unconcerned, (ii) Self-Specifications Table   Subject  Education  Specific subject area  Educational Technology  Type of data  Tables, Figures  How data were acquired Through 32-items in the Stages of Concerns Questionnaire (SoCQ). Data format Raw, Analyzed Parameters for data collection The questionnaire includes these items: 1. Demographic information inclusive of gender, ethnicity, teaching experience, and frequency of using the e-learning platform per week (4 items) 2. Stages of concerns (32 items) 3. Open-ended question related to description of concerns in using the e-learning platform (1 item).

Description of data collection
The approval to collect data from public schools was obtained via the online Education Research Application System (eRAS 2.0). Upon approval, emails were sent out to the principals of 81 schools in the district of Petaling Perdana whose teachers have been pre-identified as active users of the e-learning platform. 355 teachers from 12 schools responded to the questionnaire, which gave a response rate of 80%

Value of the Data
The dataset provides an insight into the stages of concerns of public schools' teachers on the use of e-learning platform. The availability of this open access dataset is essential for policy makers and stakeholders to have a thorough understanding about teachers' concerns on the use of the e-learning platform, so that suitable interventions could be introduced to smoothen the adoption process of the technology. This dataset is also beneficial for other researchers in understanding the relationship between the demographic information of teachers and the Stages of Concerns on the use of e-learning platform.
concerned, and (iii) concern with students [3]. The stages of concerns were then developed into different categories of concerns [4] and finally the revised stages of concerns (Table 1).

Normality test and confirmatory factor analysis (CFA)
After the data collection, normality test (Table 2) was conducted. Then the data is then tested for model fit. The initial order of measurement model analysis ( Fig. 1) showed that c 2 (443, The model is considered unfit because the value of TLI is less than the recommended 0.900. Item U1 was then removed due to low loading factor of 0.359 (Table 3) and also based on the modification indices recommended by AMOS (Fig. 2). Then, some of the error terms that belong to the same factor were covaried to see if the data fits the model. The final fitted model (Fig. 3) has all item loadings greater than 0.60 (Table 3), with c 2 (410, N ¼ 355) ¼ 1017.733, p < .000, c 2 =DF ¼ 2.482, These suggest that the data fits the model well based on the recommendations values (Table 4) of CMIN/df [5,6], GFI [7,8], CFI [6,9] and RMSEA [10].

Reliability, convergent validity and discriminant validity
The values of composite reliability (CR), Average Variance Extracted (AVE), Maximum Shared Variance (MSV) and the loadings of the constructs (Table 5) were calculated using "Master Validity Tool" e an AMOS plugin.
The reliability of constructs with values between 0.82 and 0.93 are said to be satisfactory [11]. Since the values of AVE of all stages are greater than 0.5 and the AVE are all lesser than CR, convergent validity of the items is established [12,13]. The values of MSV are all found to be lesser than AVE (Table 5) and values at the square root of AVE (values at the diagonal) are higher than the correlation, showing the discriminant validity of the instrument (Table 6) [13,14]. User knows about the technology and its requirement, and the user is aware about his/her effort to use the technology. The user begin to concern about his/her relationship with the technology. Task Management User now focuses the on the process of using the innovation and how can the innovation affect his/her task. Impact Consequence User is now concern about how the technology could impact his/her students. Collaboration User begins to concern about working or using the innovation together other colleagues. The user is willing to learn more about the innovation.

Refocusing
User is now focusing on exploring more possibilities about the technology.