Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Methodological Issues in Experimental IS Research: Experiences and Recommendations

Jarvenpaa, Sirkka L., Dickson, Gary W., DeSanctis, Gerardine·1985·MIS Quarterly

Abstract

Within the last ten years the use of experimental methodology in information systems (IS) research has substantially increased. However, despite our experience with experimentation, studies continue to suffer from methodological problems. These problems have led to an accumulation of conflicting results in several areas of IS research. Moreover, future research studies will keep producing contradictory results unless researchers begin to answer questions of task and measurement validity before reporting their experimental findings. This article discusses common methodological problems in experimental IS studies and, through a description of a series of graphics experiments at the University of Minnesota, illustrates the particularly acute problem of low internal validity. Suggestions are offered to experimental IS researchers on how some of these common problems can be alleviated or even avoided, particularly in studies on the use of managerial graphics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/249115

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 236

Metadata

Authors
Jarvenpaa, S. L., Dickson, G. W., & DeSanctis, G.
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
1985-06-01
Volume
9
Issue
2
Pages
141-156
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W2122418187
Cited by
236
References
3
FWCI
51.13
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Methodological Issues in Experimental IS Research: Experiences and Recommendations. https://app.cochat.ai/papers/10.2307/249115
The paper
Jarvenpaa, S. L., Dickson, G. W., & DeSanctis, G. (1985). Methodological Issues in Experimental IS Research: Experiences and Recommendations. MIS Quarterly. https://doi.org/10.2307/249115

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.