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Books on the topic 'Experience sampling method'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

A, Schmidt Jennifer, and Csikszentmihalyi Mihaly, eds. Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, Calif: Sage Publications, 2007.

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2

Silvia, Paul J., and Katherine N. Cotter. Researching daily life: A guide to experience sampling and daily diary methods. Washington: American Psychological Association, 2021. http://dx.doi.org/10.1037/0000236-000.

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3

Hektner, Joel M., Jennifer A. Schmidt, and Csikszentmihalyi Mihaly. Experience Sampling Method: Measuring the Quality of Everyday Life. Sage Publications, Inc, 2006.

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4

Hektner, Joel M., Jennifer A. Schmidt, and Csikszentmihalyi Mihaly. Experience Sampling Method: Measuring the Quality of Everyday Life. SAGE Publications, Incorporated, 2006.

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5

Hektner, Joel M., Jennifer A. Schmidt, and Csikszentmihalyi Mihaly. Experience Sampling Method: Measuring the Quality of Everyday Life. Sage Publications, Inc, 2006.

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6

Exploring Inner Experience: The Descriptive Experience Sampling Method (Advances in Consciousness Research). John Benjamins Publishing Co, 2006.

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7

Russell, Ann S. A study of episodes of emotion in daily life using the experience sampling method. 1997.

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8

Hurlburt, Russell T., and Christopher L. Heavey. Inner Speaking as Pristine Inner Experience. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796640.003.0007.

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Inner speaking is a directly apprehended phenomenon, not an inference or metaphorical claim about a psychological process. Investigations of inner speaking require a method that carefully explores phenomena as they actually occur. Descriptive Experience Sampling (DES) is an attempt at such a method, and is described in this chapter, including an annotated case study of its results. DES investigations suggest that many claims about inner speech are hugely mistaken, leading to the conclusion that powerful presuppositions about inner speech can lead investigations astray; the chapter discusses the recognition and the bracketing of presuppositions. It suggests skepticism about claims based on Vygotskian or other theory, on introspection, on experimental manipulations, or on questionnaires unless the method used provides a principled rationale for the bracketing of presuppositions. The chapter describes aspects of inner speaking not frequently recognized as occurring: partially or completely unworded inner speaking, multiple simultaneous inner speaking, meaningless inner speaking.

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9

Santangelo, Philip S., Ulrich W. Ebner-Priemer, and Timothy J. Trull. Experience Sampling Methods in Clinical Psychology. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199793549.013.0011.

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10

Edelglass, William. Buddhism, Happiness, and the Science of Meditation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190495794.003.0004.

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The widespread discourse of happiness and meditation is part of a “happiness turn” in contemporary Western Buddhism, in which meditation is presented as a path to happiness. This turn is justified, in part, by empirical research on happiness, which appears to be a straightforward scientific inquiry into the causes and conditions of happiness. The two most widespread methods for measuring happiness, life satisfaction questionnaires and random experience sampling, are each committed to a particular theory of happiness: implicit in the random experience sampling method is a hedonic conception of happiness as positive affect or pleasure. In contrast, Śāntideva suggests that cultivating mindfulness and awareness entails relinquishing of self and increasing skill in addressing others’ needs. This contrast demonstrates that the scientific study of meditation and happiness is not value neutral but reframes the meaning of meditation.

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11

Underwood, Marion K., Samuel E. Ehrenreich, and Diana J. Meter. Methodological Approaches to Studying Relational Aggression. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190491826.003.0005.

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Relational aggression hurts because it damages friendships and social status (Crick & Grotpeter, 1995). The subtlety of behaviors such as malicious gossip, social exclusion, and relationship manipulation poses serious challenges for researchers seeking to measure relational aggression in reliable and valid ways. This chapter will review the methods used to measure relational aggression: self-reports, parent reports, teacher reports, peer nominations and ratings, diary and experience-sampling methods, observational approaches, and innovative experimental methods. Advantages and disadvantages of each method will be discussed, and evidence for validity will be presented. The chapter will also highlight why choices about methods of measuring relational aggression matter by noting key research questions that are answered in different ways, depending on the method used. The chapter will conclude with a summary of where we stand in terms of evidence for validity and inter-rater agreement and will also offer suggestions for future research.

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12

Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research. Guilford Publications, 2012.

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13

Laurenceau, Jean-Philippe, and Niall Bolger. Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Guilford Publications, 2013.

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14

Laurenceau, Jean-Philippe, and Niall Bolger. Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. Guilford Publications, 2013.

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15

Cotter, Katherine N., and Paul J. Silvia. Researching Daily Life: A Guide to Experience Sampling and Daily Diary Methods. American Psychological Association, 2021.

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16

McLean, Kate C., ed. Cultural Methods in Psychology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190095949.001.0001.

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This volume focuses on cultural methodologies in psychology. Chapters focus on a diverse array of methodologies employed in cultural and cross-cultural psychology, including various interview methodologies, digital tools, use of media representations, exposure to positive exemplars, survey and experience sampling, and participatory action research. Each chapter discusses a particular methodology in the context of a particular topic, such as identity development, racism, implicit bias, immigration, social class, colonialism, trauma, violence, gender, and sexuality. These topics and methods are arranged across three sections that focus on methods that are meant to describe culture and cultural phenomena; methods that transform culture; and a section on broad, overarching issues, such as the colonial harm inflicted by scientific research, diversity in open science, and intersectionality. The volume is meant to enrich the practice of those already engaged in cultural research, and to help to build the skills of those just starting out.

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17

Rajakumar, P. S., S. Geetha, and T. V. Ananthan. Fundamentals of Image Processing. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-80-8.

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"Fundamentals of Image Processing" offers a comprehensive exploration of image processing's pivotal techniques, tools, and applications. Beginning with an overview, the book systematically categorizes and explains the multifaceted steps and methodologies inherent to the digital processing of images. The text progresses from basic concepts like sampling and quantization to advanced techniques such as image restoration and feature extraction. Special emphasis is given to algorithms and models crucial to image enhancement, restoration, segmentation, and application. In the initial segments, the intricacies of digital imaging systems, pixel connectivity, color models, and file formats are dissected. Following this, image enhancement techniques, including spatial and frequency domain methods and histogram processing, are elaborated upon. The book then addresses image restoration, discussing degradation models, noise modeling, and blur, and offers insights into the compelling world of multi-resolution analysis with in-depth discussions on wavelets and image pyramids. Segmentation processes, especially edge operators, boundary detections, and thresholding techniques, are detailed in subsequent chapters. The text culminates by diving deep into the applications of image processing, exploring supervised and unsupervised learning, clustering algorithms, and various classifiers. Throughout the discourse, practical examples, real-world applications, and intuitive diagrams are integrated to facilitate an enriched learning experience. This book stands as an essential guide for both novices aiming to grasp the basics and experts looking to hone their knowledge in image processing. Keywords: Digital Imaging Systems, Image Enhancement, Image Restoration, Multi-resolution Analysis, Wavelets, Image Segmentation, Feature Extraction, SIFT, SURF, Image Classifiers, Supervised Learning, Clustering Algorithms.

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