Decoded Posts Archive | Pew Research Center https://www.pewresearch.org/decoded/ Numbers, Facts and Trends Shaping Your World Tue, 30 Jul 2024 14:04:24 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://www.pewresearch.org/wp-content/themes/prc-block-theme/assets/img/square.png Decoded Posts Archive | Pew Research Center https://www.pewresearch.org/decoded/ 32 32 222456345 What a survey experiment tells us about measuring religious tolerance in Australia https://www.pewresearch.org/decoded/2024/07/29/what-a-survey-experiment-tells-us-about-measuring-religious-tolerance-in-australia/ Mon, 29 Jul 2024 19:53:57 +0000 We ran a survey experiment on religious tolerance in Australia to examine whether respondents’ answers capture a general distaste for religion rather than intolerance for particular religious groups.

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]]> 183279 Measuring partisanship in Europe: How online survey questions compare with phone polls https://www.pewresearch.org/decoded/2024/05/13/measuring-partisanship-in-europe-how-online-survey-questions-compare-with-phone-polls/ Mon, 13 May 2024 19:48:21 +0000 We compared three different online survey methods in certain countries to see which one would most closely replicate our phone results.

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]]> 166436 Reproducibility as part of code quality control https://www.pewresearch.org/decoded/2024/03/28/reproducibility-as-part-of-code-quality-control/ Thu, 28 Mar 2024 23:53:34 +0000 In this post, we discuss reproducibility as a part of Pew Research Center's code review process.

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]]> 111113 Redacting identifying information with computational methods in large text data https://www.pewresearch.org/decoded/2024/01/12/redacting-identifying-information-with-computational-methods-in-large-text-data/ Fri, 12 Jan 2024 21:58:45 +0000 In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.

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]]> 111128 How we adopted Kubernetes for our data science infrastructure https://www.pewresearch.org/decoded/2023/11/30/how-we-adopted-kubernetes-for-our-data-science-infrastructure/ Thu, 30 Nov 2023 20:59:17 +0000 In this post, we delve into Kubernetes – the back-end tool that powers the systems our research team interacts with.

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]]> 111139 Improving our website’s accessibility with alt text for charts https://www.pewresearch.org/decoded/2023/10/12/improving-our-websites-accessibility-with-alt-text-for-charts/ Thu, 12 Oct 2023 22:59:54 +0000 Our approach to alt text – and overall website accessibility – has evolved in recent years.

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]]> 111153 How adding a ‘Don’t know’ response option can affect cross-national survey results https://www.pewresearch.org/decoded/2023/09/06/how-adding-a-dont-know-response-option-can-affect-cross-national-survey-results/ Wed, 06 Sep 2023 23:58:59 +0000 In our surveys, people are much less likely to skip questions online than when speaking to interviewers in person or on the phone; we explore how offering a "Don't know" option in online surveys affects results.

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]]> 111165 What Twitter users say versus what they do: Comparing survey responses with observed behaviors https://www.pewresearch.org/decoded/2023/06/28/what-twitter-users-say-versus-what-they-do-comparing-survey-responses-with-observed-behaviors/ Wed, 28 Jun 2023 23:58:52 +0000 We explore the connection between Americans’ survey responses and their digital activity using data from our past Twitter research.

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]]> 111174 Assessing the effects of generation using age-period-cohort analysis https://www.pewresearch.org/decoded/2023/05/22/assessing-the-effects-of-generation-using-age-period-cohort-analysis/ Mon, 22 May 2023 20:58:18 +0000 In this piece, we demonstrate how to conduct age-period-cohort analysis, a statistical tool, to determine the effects of generation.

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]]> 111184 Can machines compete with humans in transcribing audio? A case study using sermons from U.S. religious services https://www.pewresearch.org/decoded/2023/05/11/can-machines-compete-with-humans-in-transcribing-audio-a-case-study-using-sermons-from-u-s-religious-services/ Thu, 11 May 2023 19:58:39 +0000 To test whether machine transcription would be practical for studies of sermons in 2019 and 2020, we compared human and machine transcriptions of snippets from a random sample of 200 audio and video sermons.

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