menu
{ "item_title" : "Quality Control", "item_author" : [" Austin Ray Hart", "J. Scott Matthews "], "item_description" : "Conventional models of voting behavior depict individuals who judge governments for how the world unfolds during their time in office. This phenomenon of retrospective voting requires that individuals integrate and appraise streams of performance information over time. Yet past experimental studies short-circuit this 'integration-appraisal' process. In this Element, we develop a new framework for studying retrospective voting and present eleven experiments building on that framework. Notably, when we allow integration and appraisal to unfold freely, we find little support for models of 'blind retrospection.' Although we observe clear recency bias, we find respondents who are quick to appraise and who make reasonable use of information cues. Critically, they regularly employ benchmarking strategies to manage complex, variable, and even confounded streams of performance information. The results highlight the importance of centering the integration-appraisal challenge in both theoretical models and experimental designs and begin to uncover the cognitive foundations of retrospective voting.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/00/935/703/1009357034_b.jpg", "price_data" : { "retail_price" : "23.00", "online_price" : "23.00", "our_price" : "23.00", "club_price" : "23.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Quality Control|Austin Ray Hart

Quality Control : Experiments on the Microfoundations of Retrospective Voting

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Conventional models of voting behavior depict individuals who judge governments for how the world unfolds during their time in office. This phenomenon of retrospective voting requires that individuals integrate and appraise streams of performance information over time. Yet past experimental studies short-circuit this 'integration-appraisal' process. In this Element, we develop a new framework for studying retrospective voting and present eleven experiments building on that framework. Notably, when we allow integration and appraisal to unfold freely, we find little support for models of 'blind retrospection.' Although we observe clear recency bias, we find respondents who are quick to appraise and who make reasonable use of information cues. Critically, they regularly employ benchmarking strategies to manage complex, variable, and even confounded streams of performance information. The results highlight the importance of centering the integration-appraisal challenge in both theoretical models and experimental designs and begin to uncover the cognitive foundations of retrospective voting.

This item is Non-Returnable

Details

  • ISBN-13: 9781009357036
  • ISBN-10: 1009357034
  • Publisher: Cambridge University Press
  • Publish Date: August 2023
  • Dimensions: 9 x 6 x 0.19 inches
  • Shipping Weight: 0.29 pounds
  • Page Count: 90

Related Categories

You May Also Like...

    1

BAM Customer Reviews