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Gridsampler – A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies Cover

Gridsampler – A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies

Journal of Open Research Software

Volume 5 (2017): Issue 1

By: Mark Heckmann and Lukas Burk

Open Access

|Jan 2017

Abstract

The repertory grid is a psychological data collection technique that is used to elicit qualitative data in the form of attributes as well as quantitative ratings. A common approach for evaluating multiple repertory grid data is sorting the elicited bipolar attributes (so called constructs) into mutually exclusive categories by means of content analysis. An important question when planning this type of study is determining the sample size needed to a) discover all attribute categories relevant to the field and b) yield a predefined minimal number of attributes per category. For most applied researchers who collect multiple repertory grid data, programming a numeric simulation to answer these questions is not feasible. The gridsampler software facilitates determining the required sample size by providing a GUI for conducting the necessary numerical simulations. Researchers can supply a set of parameters suitable for the specific research situation, determine the required sample size, and easily explore the effects of changes in the parameter set.

References

Kelly G A The psychology of personal constructs 1955 New York Norton
Search in Google Scholar Back to article
Fransella F Bell R C Bannister D A manual for repertory grid technique 2004 2nd ed. Chichester John Wiley & Sons
Search in Google Scholar Back to article
Heine K Using personal and online repertory grid methods for the development of a luxury brand personality EJBRM 2009 7 1 25 38
Search in Google Scholar Back to article
García-Mieres H Ochoa S Salla M López-Carrilero R Feixas G Understanding the paranoid psychosis of James: Use of the repertory grid technique for case conceptualization World J Psychiatr 2016 6 3 381 390 10.5498/wjp.v6.i3.381
Open DOI Search in Google Scholar Back to article
Goffin K Lemke F Koners U Identifying hidden needs: creating breakthrough products 2010 Hampshire, England Palgrave Macmillan 10.1057/9780230294486
Open DOI Search in Google Scholar Back to article
Hauser M Jonas K Riemann R Measuring salient food attitudes and food-related values. An elaborated, conflicting and interdependent system Appetite 2011 57 2 329 338 10.1016/j.appet.2011.05.322
Open DOI Search in Google Scholar Back to article
Green B Personal construct psychology and content analysis Pers Constr Theory Pract 2004 1 3 82 91 URL: http://www.pcp-net.org/journal/pctp04/green04.pdf
Search in Google Scholar Back to article
Jankowicz D The easy guide to repertory grids 2004 Chichester, England John Wiley & Sons
Search in Google Scholar Back to article
Faul F Erdfelder E Lang A-G Buchner A G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences Behav Res Methods 2007 39 2 175 91 10.3758/BF03193146
Open DOI Search in Google Scholar Back to article
van de Kerkhof M Cuppen E Hisschemoller M The repertory grid to unfold conflicting positions: The case of a stakeholder dialogue on prospects for hydrogen Technol Forecast Soc Change 2009 76 3 422 32 10.1016/j.techfore.2008.07.004
Open DOI Search in Google Scholar Back to article
Napier N P Keil M Tan F B IT project managers’ construction of successful project management practice: a repertory grid investigation Inf Syst J 2009 19 3 255 82 10.1111/j.1365-2575.2007.00264.x
Open DOI Search in Google Scholar Back to article
Tan F B Hunter M G The Repertory Grid Technique: A method for the study of cognition in information systems MIS Q 2002 26 1 39 57 10.2307/4132340
Open DOI Search in Google Scholar Back to article
Watson W Ponthieu L Doster J Business owner-managers’ descriptions of entrepreneurship: A content analysis J Constr Psychol 1995 8 1 33 51 10.1080/10720539508405240
Open DOI Search in Google Scholar Back to article
Honey P The repertory grid in action: How to use it to conduct an attitude survey Ind Commer Train 1979 11 11 452 9 10.1108/eb003756
Open DOI Search in Google Scholar Back to article
Fog A Calculation Methods for Wallenius’ Noncentral Hypergeometric Distribution Commun Stat – Simul Comput 2008 37 2 258 73 10.1080/03610910701790269
Open DOI Search in Google Scholar Back to article
Chang W Cheng J Allaire J J Xie Y McPherson J shiny: Web Application Framework for R 2016 R package version 0.13.2. Available from: https://CRAN.R-project.org/package=shiny
Search in Google Scholar Back to article
Jack F R Piggott J R Free choice profiling in consumer research Food Qual Prefer 1992 3 3 129 34 10.1016/0950-3293(91)90048-J
Open DOI Search in Google Scholar Back to article
Grice J Burkley E Burkley M Wright S Slaby J A sentence completion task for eliciting personal constructs in specific domains Pers Constr Theory Pract 2004 1 60 75 URL: http://www.pcp-net.org/journal/pctp04/grice04.pdf
Search in Google Scholar Back to article
Delarue J Sieffermann J M Sensory mapping using Flash profile. Comparison with a conventional descriptive method for the evaluation of the flavour of fruit dairy products Food Qual Prefer 2004 15 4 383 392 10.1016/S0950-3293(03)00085-5
Open DOI Search in Google Scholar Back to article
Bausch A Lacroix M Heckmann M Regional management in Middle Hesse. A study investigating the requirements for a sustainable regional management 2011 Giessen, Germany Justus-Liebig University Unpublished report
Search in Google Scholar Back to article
Altstötter-Gleich C Schreiber C Scheer J W Catina A Potentials of the grid technique for construing questionnaire scales Empirical Constructivism in Europe – The Personal Construct Approach 1996 Giessen Psychosozial-Verlag 81 89
Search in Google Scholar Back to article
Hutchinson L R Using the role repertory grid technique for item generation in a survey of knowledge use J Constr Psychol 1998 11 2 149 162 10.1080/10720539808404646
Open DOI Search in Google Scholar Back to article

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DOI: https://doi.org/10.5334/jors.150 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Sep 25, 2016

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Accepted on: Dec 12, 2016

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Published on: Jan 10, 2017

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

repertory grid,

content analysis,

© 2017 Mark Heckmann, Lukas Burk, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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