Dataset Information

International Social Survey Program (ISSP) environment dataset modules: Open data and its applicability in PLS-SEM Research.

ABSTRACT: This data article is based on the International Social Survey Programme (ISSP) Environment III Dataset and linked to a publication in Ecological Economics, in which we developed a model for explaining and predicting sustainable consumption behavior of Europeans using data of nine participating countries. In our study, we find that sustainable consumption behavior can be associated with environmental concern, which is influenced by increased levels of environmental knowledge and environmental risk perception. In this companion data article, we describe the usefulness, value, and relevance of the open ISSP dataset and take our linked article as an example. The data are publicly available via the GESIS-website (gesis.org). The dataset consists of individual-based interviews on the respondents' perceptions regarding a variety of social matters, such as the environment, which we argue is especially suitable for PLS-SEM applications (for example, to conduct cross-sectional analyses).

SUBMITTER: Saari UA

PROVIDER: S-EPMC10293917 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

International Social Survey Program (ISSP) environment dataset modules: Open data and its applicability in PLS-SEM Research.

Saari Ulla A UA Damberg Svenja S

Data in brief 20230411

This data article is based on the International Social Survey Programme (ISSP) Environment III Dataset and linked to a publication in <i>Ecological Economics</i>, in which we developed a model for explaining and predicting sustainable consumption behavior of Europeans using data of nine participating countries. In our study, we find that sustainable consumption behavior can be associated with environmental concern, which is influenced by increased levels of environmental knowledge and environmen ...[more]

PMID: 37383813

Similar Datasets

Project description:Mathematics plays a leading part in day-to-day life and has enhanced a necessary component for human accomplishments. Students from many countries do not reach the expected level in mathematics. Therefore, it is essential to pay close consideration to the causes related to ability in mathematics. Mathematics attitude is considered as one of the critical variables in the process of mathematics learning. This study aimed to determine students' attitudes and achievements through problem-based learning in mathematics. The selected study group contained 600 students and 35 teachers from rural public secondary schools in District Rawalpindi, Pakistan. The data collection was done using questionnaires from students and teachers and collected data analyzed by SPSS 23 and Amos 23. This study's result was carried out using Partial Least square structural equation Model (PLS-SEM), descriptive analysis, and hypotheses testing. The outcomes in this study indicated that the mean fluctuated between 1 to 4.5, 3.71 to 4.20, and Std. Deviation fluctuated between 0.6 to 2.0 and 0.75 to 1.55 in the students and teacher models, respectively. The results of the PLS-SEM students' model show a negative attitude towards mathematics. The teachers' PLS-SEM model showed the Effects of using problem-based learning (PBL) on students' achievements. According to the hypotheses testing, the acceptance of hypotheses by stating that the Confidence in Learning Mathematics Scale (C), Value of Mathematics Scale (V), and Student Mathematics Motivation Scale (M) are significant effects for the Students' Attitude Toward Problem-Based Learning (ATPBL). But the Attitude Toward Enjoyment in Mathematics Scale (AE) was rejected, and it did not significantly affect the ATPBL. As well as, the Problem-solving learning and students' achievement (PLA), Advantages of problem-solving learning (APL) and Difficulties in using problem-solving learning (DPL) have a significant positive effect on the ATPBL. Finally, this study suggested that teachers also adopt new teaching methods corresponding to mathematics, and there is a need to explore particular mathematics skills to enhance students' learning abilities.

Dataset Information

International Social Survey Program (ISSP) environment dataset modules: Open data and its applicability in PLS-SEM Research.

Publications

International Social Survey Program (ISSP) environment dataset modules: Open data and its applicability in PLS-SEM Research.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets