Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

2 results

  • 4 - Experiment Design

  • Isabel Wagner, De Montfort University, Leicester
  • Book:
    Auditing Corporate Surveillance Systems
    Published online:
    24 March 2022
    Print publication:
    31 March 2022, pp 59-100

  • Summary

    This chapter explains how to design experiments to study black-box corporate surveillance systems. The chapter first examines the kinds of research questions that can be asked about corporate surveillance systems. Then, it describes different high-level study designs for transparency research, followed by a look at longitudinal studies and how they can be conducted. After examining the challenges that transparency researchers face in designing these experiments, the chapter focuses on input variables that are influenced and varied during an experiment, variables that are outside the experimenter's influence, and variables that are measured (response or output variables).

  • Chapter eight - Behavior Genetic Research Methods

  • from Part two - Procedural Possibilities
  • Edited by Harry T. Reis, University of Rochester, New York, Charles M. Judd, University of Colorado Boulder
  • Book:
    Handbook of Research Methods in Social and Personality Psychology
    Published online:
    05 June 2014
    Print publication:
    24 February 2014, pp 159-187

  • Summary

    Research design is inextricably linked to data analysis. Research designs can be divided into three fundamental categories: experimental design, quasi-experimental design, and nonexperimental or passive observational design. This chapter focuses almost exclusively on experimental design, for two main reasons. In an experimental design there are always at least two factors such as fixed and random factors or independent variables, variables that are considered to influence the dependent variable response. The chapter discusses a series of questions that must be answered regarding each individual factor in a design. It considers the possible ways that multiple factors included in a single experiment may be interrelated. Multiple factors in a design can be crossed, nested, or confounded. Issues involving the dependent measures in a study are also part of experimental design, and these choices can influence statistical conclusion validity (power), internal validity, construct validity, and external validity.