Journal of Environmental Psychology

This data was used for a review and meta-analysis on personal space in human-robot interaction by the contributors of this data. Some of the information had to be gained from email contact or estimated from figures and text of the source article.

This dataset contains all correlations used to compute the meta-analysis.

Datasets for Studies 1 and 2. Email sintov.2@osu.edu with any questions

Datasets of Study 1, 2, and 3 are provided, as well as the syntax file associated with each.

Data from N = 602 face-to-face interviews with Chinese residents conducted between January 29 and March 16, 2018, for the purpose of studying the factors that predict support for China's coal-to-gas policy.

Data prepared and analyzed by N. Landry (First author)

This data-set was collected to replicate the findings of Schuldt et al. (2011). It contains data from the UK, USA, and Australia collected between 2nd of January 2018 and the 29th of April 2019. It measures individuals political party, and belief in environmental phenomena

Data are shared in csv-format and consist of 26 columns and 597 rows (with headings). First column represents the index. Column “last page” indicates on which page the participant closed the survey. As in total there were 7 pages, only those participants with last page = 7 were included for the analysis. (n = 549) Column “control” describes the control question, where control = 1 was the correct answer. All other questionnaires were omitted. (n = 499) The next twenty columns indicate the ten knowledge questions + corresponding confidence levels. Knowledge questions can be incorrect (0) or correct (1). Confidence can range between 50 and 100 in decadal steps. “gender” is binary coded, female (0), male (1), not defined/no answer (NA) “age” is a metric variable, ranging from 18 to 72. “matura” is binary coded, without matura/high school degree (0), with matura/high school degree (1), not defined/no answer (NA) Not relevant data columns for this analysis were removed. Some variables have been recoded or were calculated from other variables. Data were collected in cooperation with market research agency Norstat Deutschland GmbH.

This Data in Brief article examines the association between moral identity and green consumption. The data was collected using a structured online questionnaire composed of measurements of moral identity, green consumption behavior, social desirability, and demographics (gender, age and financial situation) in China and United States. 259 Chinese and 282 Americans answered the questionnaire. Data was analyzed employing SPSS. Regression analysis was used as statistical tool of analysis.

Three datasets (both spss and csv files) accompanied by MPlus syntaxes which allow for replicating the analyses presented in the manuscript and in SOM.