Fun surveys? Developing an innovative approach to assessing learning through citizen science

Assessing the impact of citizen science participation on volunteers is increasingly important. However, traditional methods for evaluating volunteer experiences—such as quantitative surveying—have drawbacks. Response rates are often low, pre- and post-tests provide a coarse metric for assessing learning, and static evaluation techniques have failed to align with the participatory spirit of citizen science, where volunteers are involved in understanding their role in scientific inquiry. In response to these problems, we developed a more engaging type of longitudinal survey aimed at achieving higher response rates and better involving volunteers in understanding the scientific value of their survey efforts. We first reviewed the literature on “fun” and found that fun activities embody six characteristics: autonomy, social connection, playfulness, challenge, transport, and curiosity. We used this “fun heuristic” to design “SciQuest,” an exploratory survey tool that evaluated volunteers’ pr..., The attached CSV contains 243 anonymized survey responses from Qualtrics \"Panelists\" (paid surveytakers). These surveytakers completed a survey in May, 2021 where they answered a variety of questions about their connection to nature, their pro-enviornmental behaviors, and other conservation-related constructs. Each respondent completed two different types of survey analyzing the same construct: one using existing, validated constructs, and one using a new, untested instrument called \"SciQuest.\" 
The goal of collecting this survey data was to quasi-validate the SciQuest version of these constructs. SciQuest is designed to provide a more fun, engaging way of answering survey questions for citizen science evaluators. However, to make sure the SciQuest questions are assessing the same constructs as conventional instruments, we compared responses to the same constructs among these Panelists who took both a conventional survey and a SciQuest version of the same survey constructs. 
T..., , # Data from: Fun surveys? Developing an innovative approach to assessing learning through citizen science

[https://doi.org/10.5061/dryad.7d7wm3843](https://doi.org/10.5061/dryad.7d7wm3843)

## Description of the data and file structure

This CSV contains survey data from 243 Qualtrics Panelists (paid survey takers). These Panelists completed a survey evaluating their pro-environmental attitudes and beliefs. The Panelists completed two different survey types assessing the same pro-environmental constructs. The first survey type used existing, validated instruments (e.g. Manfredo's \"Wildlife Value Orientation\"). The second survey type used variations of these existing instruments designed to be more engaging, fun, use interesting graphic elements, etc., for a new type of citizen science survey tool called \"SciQuest.\" The goal of this survey effort was to quasi-validate the survey questions used in SciQuest against the existing, conventional instruments. 

There is also an attached R scri...,

评估公众科学（citizen science）参与对志愿者的影响愈发重要。然而，传统的志愿者体验评估方法——如量化问卷调查——存在诸多局限：问卷回收率普遍偏低，前后测仅能提供粗糙的学习效果评估指标，且静态评估技术未能契合公众科学的参与式精神——后者要求志愿者参与理解自身在科学探究中的角色。

针对上述问题，我们开发了一种更具吸引力的纵向调查（longitudinal survey）问卷，旨在提升问卷回收率，并更好地引导志愿者理解其问卷参与工作的科学价值。我们首先梳理了与"趣味性"相关的文献，发现趣味活动具备六大特征：自主性（autonomy）、社会联结（social connection）、游戏性（playfulness）、挑战性（challenge）、沉浸感（transport）与好奇心（curiosity）。我们基于这一"趣味启发式（fun heuristic）"框架设计了"SciQuest"——一款探索性调查工具，用于评估志愿者的[原文截断]。

本次附带的CSV文件包含243份来自Qualtrics "付费调研参与者（Panelists，paid surveytakers）"的匿名问卷回复。这些参与者于2021年5月完成了一份问卷，内容涉及他们与自然的联结、亲环境行为及其他保护相关构念（construct）。每位受访者均完成了两份针对同一构念的不同类型调查：一份采用已验证的成熟量表，另一份则使用一款名为"SciQuest"的新型未经验证的调研工具。

本次收集调研数据的目的是对SciQuest版本的上述构念进行准验证（quasi-validate）。SciQuest旨在为公众科学评估者提供一种更具趣味性与参与感的问卷作答方式。为确保SciQuest的问题能够与传统量表评估相同的构念，我们对比了同时参与传统问卷与SciQuest版本问卷的参与者针对同一构念的作答结果。[原文截断]
# 数据来源：趣味调研？开发一种创新的公众科学学习评估方法（Fun surveys? Developing an innovative approach to assessing learning through citizen science）
[https://doi.org/10.5061/dryad.7d7wm3843]

## 数据与文件结构说明
本CSV文件包含243名Qualtrics付费调研参与者的问卷数据。这些参与者完成了一份评估其亲环境态度与信念的问卷，且完成了两种针对同一亲环境构念的不同调研形式：第一种采用已验证的成熟量表（例如Manfredo的"野生动物价值取向"量表）；第二种则是针对现有量表的改良版本，旨在提升趣味性与参与感、使用有趣的图形元素等，对应一款名为"SciQuest"的新型公众科学调研工具。本次调研的核心目标是基于成熟的传统量表，对SciQuest所使用的调研问题进行准验证。

此外还附带一份R语言脚本[原文截断]