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{ "item_title" : "Intensive Longitudinal Methods", "item_author" : [" Niall Bolger", "Jean-Philippe Laurenceau "], "item_description" : "This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/46/250/678/146250678X_b.jpg", "price_data" : { "retail_price" : "64.00", "online_price" : "64.00", "our_price" : "64.00", "club_price" : "64.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intensive Longitudinal Methods|Niall Bolger

Intensive Longitudinal Methods : An Introduction to Diary and Experience Sampling Research

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Overview

This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

This item is Non-Returnable

Details

  • ISBN-13: 9781462506781
  • ISBN-10: 146250678X
  • Publisher: Guilford Publications
  • Publish Date: February 2013
  • Dimensions: 9.2 x 6.1 x 0.7 inches
  • Shipping Weight: 1.1 pounds
  • Page Count: 256

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