Literature DB >> 32953702

Psychometric of the Curiosity and Exploration Inventory-II in Indonesia.

Anggi Setyowati1, Min-Huey Chung2,3, Ah Yusuf4, Setya Haksama5.   

Abstract

Background: Curiosity is a personality characteristic, which fits with wellbeing and positive functioning. The objective of this study was to assess the construct validity of the Curiosity and Exploration Inventory II (CEI-II) in Indonesia. Design and
Methods: The study included 256 undergraduate students who lived in Indonesia, mean age 19.8 years old. The CEI-II measures stretching and embracing using 11 items. The English version of CEI-II was translated into Bahasa. The Cronbach's alpha coefficient and intraclass correlation coefficient (ICC) were addressed to examine internal consistency reliability and the test-retest reliability. To evaluate construct validity, exploratory factor analysis (EFA) was used to assess factor structure and confirmatory factor analysis (CFA) was used to evaluate the structural model fit of the CEI-II Indonesia version.
Results: The study showed Cronbach's alpha for the internal consistency of the overall CEI-II Indonesia version was 0.77. The ICC for the test-retest reliability ranged between 0.753-0.829. EFA showed adequate with the Kaiser-Meyer-Olkin value of 0.86 and the Bartlett's test of sphericity was statistically significant. CFA tested the second-order model with two-order factors and showed a model fit. Conclusions: The CEI-II Indonesia version indicated acceptable construct validity to evaluate curiosity in Indonesia. ©Copyright: the Author(s).

Entities:  

Keywords:  Evaluation; Indonesia; construct validity; curiosity

Year:  2020        PMID: 32953702      PMCID: PMC7482187          DOI: 10.4081/jphr.2020.1745

Source DB:  PubMed          Journal:  J Public Health Res        ISSN: 2279-9028


Introduction

Curiosity is a personality characteristic, which fits with wellbeing and positive functioning.[1] It also relates to life satisfaction, meaningful life[2] and creativity[3]. Curiosity has been conceptualized as an individual desire to look for something new,[4] cognition,[5] self-regulation as well as positive emotional-motivational system.[6] Curiosity is needed to stimulate children’s and adolescents’ development[5,7] because they can then explore what attracts their interests[7] and affects their behavior to seek information.[1] This behavior must develop during early childhood to enhance learning in adults[8,9] trigger motivation, and it relates to problem solving.[5] Furthermore, curiosity is important in the classroom, especially for students to understand something.[7,10] Previous study mentioned that students in Indonesia show low motivation as well as creating ideas in the class.[11] Therefore, we need a tool to understanding and measure curious in research purpose,[12] so reliable data can be used to enhance learning in Indonesian students. There are several instruments to measure curiosity;[4,6,13,14] one of such tools that has been used over the last decade is the Curiosity and Exploration Inventory (CEI) designed by Kashdan et al.[6] However, a few limitations have been found in CEI, such as the fact that it is negatively worded and exhibited failed construct validity.[14,15] Therefore, CEI was developed into CEI-II. CEI-II has stable reliability among college students.[14,15,16] CEI-II includes two subscales: stretching or exploration, which refers to the motivation to look for knowledge, and embracing, which refers to the willingness to embrace newness.[14] The validation of CEI-II is conducted in Chinese, Romanian, and English.[14,15,16] It is also available in several other languages, such as Spanish, Chinese, Italian, German, Russian, French, Norwegian, Portuguese, Finnish, Persian, Dutch, Hungarian, Slovak, and Czech.[17] Thus, The CEI-II showed satisfactory reliability and validity. The CEI-II has not been provided in Bahasa and, as far as we know, the construct validity has not been conducted among undergraduate students in Indonesia. Therefore, this study is aimed to translate and evaluate the construct validity of the Indonesian CEI-II version.

Design and Methods

This research was granted by the Ethics Research Committee from University Tunku Abdul Rahman, Malaysia, in March 2017. All of the participants agreed to join this study and provided online written informed consent; they were allowed to withdraw during this study and this study was also anonymous and voluntary. This study used cross-sectional design and online self-report questionnaire using Qualtrics Survey Software and Google Form and it was conducted from February until May 2017. Data were collected from 256 undergraduate students who lived in Indonesia, from two public universities in Java Island and two nursing schools in Kalimantan Island. It used purposive sampling, and inclusion criteria were being undergraduate students, full-time or part-time study, and all gender could participate in this study. Previous study suggested minimum sample size of 200 to produce adequate statistics.[18] We evaluated test-retest reliability of the CEIII Indonesian version from 30 participants who repeated the answers of the CEI-II Indonesian version twice at two-week intervals. CEI-II was designed to measure two factors. The first is stretching, which refers to motivation to look for new experience and knowledge, whereas the second factor is embracing, which refers to willingness to deal with new, uncertain, and unpredictable events in life. The CEI-II contains 10 items. Each item uses a 5- point Likert scale (1: very slightly or not at all, 5: extremely). Higher score indicates high curiosity.[14] The CEI-II has been measured to be valid and reliable for assessing individual degree in the recognition, pursuit, and dealing with new experience and knowledge. The CEI-II has adequate internal reliability (Cronbach’s alpha 0.86-0.90).[14,15] SPSS for Windows was used to analyze the data. To examine the CEI-II, descriptive statistics were computed as minimal and maximal values, mean, standard deviation (SD), skewness, and kurtosis. Skewness is the degree of asymmetric data, adequate skewness score range is between -1 to 1.[19] Likewise, kurtosis is used to measure the peakedness of data distribution, and a value of kurtosis less than 2.5 times the standard error indicates normal data.[19,20] Inter-item correlation and item-total correlation were calculated using Pearson correlation; a correlation more than 0.2 indicates satisfactory.[21] The internal consistency reliability was measured using Cronbach’s alpha: previous studies suggest that Cronbach’s alpha >0.5 is considered acceptable reliability.[22,23] The intraclass correlation coefficient (ICC) was used to examine twoweek test-retest reliability of CEI-II. Acceptable test-retest reliability was greater than 0.75.[24] Exploratory factor analysis (EFA) using principal axis factoring with varimax rotation was used to evaluate construct validity. [25] Factor analysis was selected by Kaiser-Meyer-Olkin (KMO) and Bartlett’s test of sphericity.[26] KMO must be greater than 0.6 and the Bartlett’s test value of sphericity must be significant (p<0.001).[27,28] The criteria for measuring the number of factors extraction use the following criteria: eigenvalue >129 and the percentage of variance explained is ≤50-60%.[27,30] Convergent validity was evaluated by several indicators; i) factor loading, each item must be greater than 0.32;[31] ii) the composite reliability (CR) of dimension must be greater than 0.7;[27] iii) average variance extracted (AVE) is higher than 0.5; however, AVE more than 0.4 is still accepted if CR is more than 0.6.[32] Confirmatory factor analysis (CFA) was used to assess the structural model fit of CEI-II. AMOS software version 21.0 was used to test the goodness of fit. The following fit indices were evaluated: chi squared/df (the ratio of the chi square to the degree of freedom), normed fit index (NFI), goodness of fit index (GFI), adjusted goodness-of-fit index (AGFI), comparative fit index (CFI), and related fit index (RFI) should be greater than 0.9033 and root-mean-square error of approximation (RMSEA) should be lower than 0.1, because RMSEA greater than 0.1 indicates poor values.[34] Discriminant validity was assessed by two criteria: i) correlation coefficient between dimensions of less than 1; ii) the correlation coefficient of the dimension being less than the individual Cronbach’s alpha coefficient.[35] Second order model was conducted to assess validity[36] and estimates the effect of the main construct on the sub construct.[37]

Results

Table 1 shows the characteristic of the participants, including age and gender. Table 2 shows this study included 256 undergraduate students with a mean (SD) age of 19.81 (1.62) and ranging in age from 17 to 26 years. Most of the participants were female students (65.6%). A further 30 participants were undergraduate students with a mean (SD) 20.3 (0.53) years and most participants were female students (83.3%).
Table 1.

Characteristics of participants (n=256).

Participants for construct validity n=256Participants for test-retest reliability n=30
CharacteristicsMean (SD)n%Mean (SD)n%
Age (years)19.81 (1.62)20.3 (0.53)
Gender
    Male8834.4516.7
    Female16865.62583.3
Table 2.

Average scores of the CEI-II in the Indonesian language according to items and dimensions.

CEI-II dimensionScale itemMinMaxMeanSDSkewnessKurtosis
I actively seek as much information as I can in new situationsItem 11.005.003.840.77-0.4470.583
I am the type of person who really enjoys the uncertainty of everyday lifeItem 21.005.002.171.140.503-0.894
I am at my best when doing something that is complex or challengingItem 31.005.003.770.80-0.7741.222
Everywhere I go, I am out looking for new things or experiencesItem 41.005.004.030.76-0.5160.280
I view challenging situations as an opportunity to grow and learnItem 52.005.004.050.76-0.397-0.365
I like to do things that are a little frighteningItem 61.005.003.440.98-0.264-0.141
I am always looking for experiences that challenge how I think about myself and the worldItem 71.005.003.740.93-0.6990.437
I prefer jobs that are excitingly unpredictableItem 81.005.003.301.13-0.408-0.445
I frequently seek out opportunities to challenge myself and grow as a personItem 91.005.003.360.90-0.6040.384
I am the kind of person who embraces unfamiliar people, events, and placesItem 101.005.003.391.09-0.453-0.169

Min, minimum; Max, maximum; SD, standard deviation.

Reliability

Table 3 shows the Cronbach’s alpha coefficient of the overall CEI-II Indonesian version was 0.767, and that, for each item, ranged from 0.724–0.804. The intraclass correlation coefficient (ICC) ranged between 0.753-0.829. There was statistically significant and positive correlation between the global score CEI-II Indonesian version and the 10-item scores of the CEI-II Indonesian version. The range correlation between each item was r=0.286– 0.715, p<0.05.
Table 3.

Correlation coefficients of the items CEI-II conforming to extracted factors after varimax rotation.

CEI-II dimensionItem-total correlationCronbach’s alpha if item deletedTest-retest reliabilityAVECR
ICC95% CI
Factor 1 (stretching)0.7530.482-0.8830.4680.837
    CEI-II 10.5640.747
    CEI-II 30.4840.757
    CEI-II 40.5960.743
    CEI-II 50.6160.740
    CEI-II 70.7090.724
    CEI-II 90.7150.724
Factor 2 (embracing)0.8290.642-0.9190.4000.717
    CEI-II 20.2860.804
    CEI-II 60.6620.733
    CEI-II 80.6040.748
    CEI-II 100.5740.752
Total1.0000.7670.8510.688-0.951
Correlation between two dimensions0.426

Factor structure of the CEI-II

Exploratory factor analysis (EFA) was performed before conducting the construct validity. EFA was used to analyze all 10 items of the CEI-II. Table 4 shows the value of the Kaiser-Meier-Olkin test was 0.86 and the Bartlett’s test value of sphericity was statistically significant (p<0.001). In addition, two factors were retained based on eigenvalues. Both factors had eigenvalues greater than 1. All of the items in the CEI-II Indonesian version had factor loading greater than 0.32, which indicates favorable convergent validity. The first factor consists of six items (Item 1, 3, 4, 5, 7, and 9) and refers to stretching or motivation to seek out knowledge and new experience, yielding 36.769% explained variance. The second factor consists of four items (Item 2, 6, 8, and 10) and refers to embracing or willingness to deal with new, uncertain, and unpredictable events in life; it yields 12.697% explained variance.
Table 4.

Correlation coefficients of the items CEI-II conforming to extracted factors after varimax rotation.

ItemsFactor loading
Stretching
    CEI-II 10.614
    CEI-II 30.434
    CEI-II 40.725
    CEI-II 50.780
    CEI-II 70.765
    CEI-II 90.725
Embracing
    CEI-II 20.673
    CEI-II 60.625
    CEI-II 80.695
    CEI-II 100.490
Eigen value3.6771.268
Cumulative variance explained36.76912.697
Characteristics of participants (n=256).

Construct validity

Table 3 shows the CR score for stretching was 0.837 and for embracing was 0.717. The AVE’s two constructs were 0.468 and 0.4, respectively, which indicated acceptable convergent validity. Confirmatory Factor Analysis (CFA) was conducted to validate the structure of CEI-II Indonesian version with second order. Figure 1 presents the goodness of fit for the model structure with χ2 90.156 (df=34, p=0.00); goodness-of-fit index (GFI)=0.936, adjusted goodness-of-fit index (AGFI)=0.897, comparative fit index (CFI)=0.909, root-mean-square error of approximation (RMSEA)=0.08, normed fit index (NFI)=0.864, and related fit index (RFI)=0.819.
Figure 1.

The factor structure of CEI-II. Model fit index: χ2 90.156 (df=34, p=0.00); goodness-of-fit index (GFI)=0.936, adjusted goodness-of-fit index (AGFI)=0.897, comparative fit index (CFI)=0.909, root-mean-square error of approximation (RMSEA)=0.08, normed fit index (NFI)=0.864, related fit index (RFI)=0.819.

The factor structure of CEI-II. Model fit index: χ2 90.156 (df=34, p=0.00); goodness-of-fit index (GFI)=0.936, adjusted goodness-of-fit index (AGFI)=0.897, comparative fit index (CFI)=0.909, root-mean-square error of approximation (RMSEA)=0.08, normed fit index (NFI)=0.864, related fit index (RFI)=0.819. Average scores of the CEI-II in the Indonesian language according to items and dimensions. Min, minimum; Max, maximum; SD, standard deviation. Correlation coefficients of the items CEI-II conforming to extracted factors after varimax rotation.

Discussion

The aim of this study was to assess the construct validity as well as reliability of the CEI-II Indonesian version. The result of internal consistency for Indonesian undergraduate students had adequate internal consistency (Cronbach’s alpha=0.77). In addition, researchers evaluated the various CEI-II questionnaires in different language versions and found an acceptable Cronbach’s alpha between 0.79-0.90.[6,15,16] In line with previous studies, Cronbach’s alpha>0.5 was acceptable.[22,23] Table 3 show that the test-retest correlation coefficient had temporal stability for two dimensions. The results of ICC ranged from 0.753-0.829, and embracing had the highest score. Previous study addressed that acceptable test-retest reliability was greater than 0.75.[24] In this study the Cronbach’s alpha and the correlation coefficient were of acceptable value, so it showed that CEI-II was a stable instrument to measure curiosity. The CEI-II Indonesian version was supported by construct validity. Exploratory factor analysis was used to extract two CEIII factors from 10 items in this questionnaire. There was a change in the factor structure, compared with the original version of CEIII; however, all items of the CEI-II Indonesian version had factor loadings greater than 0.32. This indicates that CEI-II has acceptable convergent validity.[31] In the process of exploratory factor analysis of the CEI-II Indonesian version, the first factor, stretching, produced six items, similar to the original CEI-II, except item 4 everywhere I go, I am out looking for new things or experiences. So, the second factor, embracing, produced the remaining four items. Factor analysis produces different dimensions, in some population, due to phrases that are used.[37] The translation of item 4 in Bahasa is similar to stretching, which refers to the motivation to look for knowledge. This study employed CFA to examine the construct validity of the CEI-II. Adequate convergent validity was shown by the results of AVE and CR (Table 3). The model structure was measured based on several fit indices, specifically GFI, AGFI, CFI, RFI, NFI, and RMSEA. In this study, the value of the RMSEA was 0.08. The RMSEA was used to evaluate the model and it is recommended that the score is less than 0.1.[34] Figure 1 shows that the value of the RMSEA in this study was 0.08, which indicates an adequate model structure for the two factors. Factor loading of all factors of the CEI-II showed significant factor loading from 0.43–0.78. We performed a second-order model to obtain optimal goodness of fit. The limitations of this study were that the self-report questionnaire caused bias and we only focused on construct validity, so we did not compare the Indonesian version of CEI-II to other scales that measure personality related to curiosity constructs. Correlation coefficients of the items CEI-II conforming to extracted factors after varimax rotation.

Conclusions

Despite these limitations, our study addressed that the CEI-II Indonesian version supported construct validity to measure curiosity. The CEI-II consists of 10 items related to stretching and embracing and it is suitable to detect curiosity among students in Indonesia, which fits with wellbeing.
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