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Journal articles on the topic 'Quasi-experimental'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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1

Maciejewski, Matthew L. "Quasi-experimental design." Biostatistics & Epidemiology 4, no. 1 (June 7, 2018): 38–47. http://dx.doi.org/10.1080/24709360.2018.1477468.

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2

MORGAN, GEORGE A., JEFFREY A. GLINER, and ROBERT J. HARMON. "Quasi-Experimental Designs." Journal of the American Academy of Child & Adolescent Psychiatry 39, no. 6 (June 2000): 794–96. http://dx.doi.org/10.1097/00004583-200006000-00020.

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3

Lucasey, Beth. "Quasi-experimental Design." Orthopaedic Nursing 21, no. 1 (January 2002): 56???57. http://dx.doi.org/10.1097/00006416-200201000-00010.

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4

Bawden, D. Lee, and Freya L. Sonenstein. "Quasi-experimental designs." Children and Youth Services Review 14, no. 1-2 (January 1992): 137–44. http://dx.doi.org/10.1016/0190-7409(92)90019-r.

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5

Oldham, Jacqueline. "Experimental and quasi -experimental research designs." Nurse Researcher 1, no. 4 (June 1994): 26–36. http://dx.doi.org/10.7748/nr.1.4.26.s4.

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6

Siedlecki, Sandra L. "Quasi-Experimental Research Designs." Clinical Nurse Specialist 34, no. 5 (September 2020): 198–202. http://dx.doi.org/10.1097/nur.0000000000000540.

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7

Thompson, Cheryl Bagley, and Edward A. Panacek. "Research study designs: Experimental and quasi-experimental." Air Medical Journal 25, no. 6 (November 2006): 242–46. http://dx.doi.org/10.1016/j.amj.2006.09.001.

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8

Aloe, Ariel M., Betsy Jane Becker, Maren Duvendack, Jeffrey C. Valentine, Ian Shemilt, and Hugh Waddington. "Quasi-experimental study designs series—paper 9: collecting data from quasi-experimental studies." Journal of Clinical Epidemiology 89 (September 2017): 77–83. http://dx.doi.org/10.1016/j.jclinepi.2017.02.013.

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9

Alexander, Jan, and Thierry Mulder. "Experimental quasi-steady density currents." Marine Geology 186, no. 3-4 (July 2002): 195–210. http://dx.doi.org/10.1016/s0025-3227(02)00313-4.

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10

Nelson, Robert G., and David A. Bessler. "Quasi-rational expectations: Experimental evidence." Journal of Forecasting 11, no. 2 (February 1992): 141–56. http://dx.doi.org/10.1002/for.3980110205.

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11

Tugwell, Peter, J. André Knottnerus, Jessie McGowan, and Andrea Tricco. "Big-5 Quasi-Experimental designs." Journal of Clinical Epidemiology 89 (September 2017): 1–3. http://dx.doi.org/10.1016/j.jclinepi.2017.09.010.

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12

Blackman, Allen, and Randy Bluffstone. "Decentralized forest management: Experimental and quasi-experimental evidence." World Development 145 (September 2021): 105509. http://dx.doi.org/10.1016/j.worlddev.2021.105509.

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13

Miller, Christopher J., Shawna N. Smith, and Marianne Pugatch. "Experimental and quasi-experimental designs in implementation research." Psychiatry Research 283 (January 2020): 112452. http://dx.doi.org/10.1016/j.psychres.2019.06.027.

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14

Greenstone, Michael, and Ted Gayer. "Quasi-experimental and experimental approaches to environmental economics." Journal of Environmental Economics and Management 57, no. 1 (January 2009): 21–44. http://dx.doi.org/10.1016/j.jeem.2008.02.004.

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15

Glanville, Julie, John Eyers, Andrew M. Jones, Ian Shemilt, Grace Wang, Marit Johansen, Michelle Fiander, and Hannah Rothstein. "Quasi-experimental study designs series—paper 8: identifying quasi-experimental studies to inform systematic reviews." Journal of Clinical Epidemiology 89 (September 2017): 67–76. http://dx.doi.org/10.1016/j.jclinepi.2017.02.018.

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16

Anderson-Cook, Christine M. "Experimental and Quasi-Experimental Designs for Generalized Causal Inference." Journal of the American Statistical Association 100, no. 470 (June 2005): 708. http://dx.doi.org/10.1198/jasa.2005.s22.

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17

Bruinsma, Gerben J. N., and David Weisburd. "Experimental and quasi-experimental criminological research in the Netherlands." Journal of Experimental Criminology 3, no. 2 (May 2, 2007): 83–88. http://dx.doi.org/10.1007/s11292-007-9032-2.

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18

Kipfelsberger, Petra, Susanne Braun, Martin P. Fladerer, and Lisa Dragoni. "Developing authenticity: A quasi-experimental investigation." Personality and Individual Differences 198 (November 2022): 111825. http://dx.doi.org/10.1016/j.paid.2022.111825.

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19

Kim, Yongnam, and Peter Steiner. "Quasi-Experimental Designs for Causal Inference." Educational Psychologist 51, no. 3-4 (September 2, 2016): 395–405. http://dx.doi.org/10.1080/00461520.2016.1207177.

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20

Steiner, Peter M., Yongnam Kim, Courtney E. Hall, and Dan Su. "Graphical Models for Quasi-experimental Designs." Sociological Methods & Research 46, no. 2 (January 1, 2015): 155–88. http://dx.doi.org/10.1177/0049124115582272.

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Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand and, thus, warrant a causal interpretation of the estimated effect. In this article, we discuss and compare the identifying assumptions of quasi-experiments using causal graphs. The increasing complexity of the causal graphs as one switches from an RCT to RD, IV, or PS designs reveals that the assumptions become stronger as the researcher’s control over treatment selection diminishes. We introduce limiting graphs for the RD design and conditional graphs for the latent subgroups of compliers, always takers, and never takers of the IV design, and argue that the PS is a collider that offsets confounding bias via collider bias.
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21

Rohrer, James E. "Quasi-Experimental Evaluation Without Regression Analysis." Journal of Public Health Management and Practice 15, no. 2 (March 2009): 109–11. http://dx.doi.org/10.1097/01.phh.0000346006.59275.1e.

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22

Alexander Arthur, Calum, and Lew Hardy. "Transformational leadership: a quasi-experimental study." Leadership & Organization Development Journal 35, no. 1 (February 25, 2014): 38–53. http://dx.doi.org/10.1108/lodj-03-2012-0033.

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Purpose – The purpose of this paper is to report a field-based quasi-experimental study designed to examine the effectiveness of a transformational leadership intervention in remediating poor performance. The intervention was conducted on elements of the organization that senior management perceived as being low performing. Design/methodology/approach – A quasi-experimental pre-test post-design was employed to evaluate the effectiveness of the transformational leadership intervention. Pre-test data were collected four months prior to the intervention starting and the post-test data were collected eight months after the intervention had started. Follower perceptions of their leader's behavior and group cohesion, together with training outcome data were used to evaluate the effectiveness of the intervention. Findings – Results revealed that from pre-test to post-test changes in perceptions of leadership, group cohesion, and training outcome indicated that the intervention had beneficial effects. These beneficial effects were evidenced in one of two ways: desirable behaviors increased in the experimental group from pre-test to post-test while they remained the same or were decreased in the control group; or desirable behaviors remained the same in the experimental group while they decreased in the control group. Originality/value – The current study is the first to utilize a quasi-experimental organization wide design to examine the efficacy of a transformational leadership intervention. Furthermore, the current study provides evidence that transformational leadership can buffer negative environmental effects.
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23

Nyström, Johan. "A quasi‐experimental evaluation of partnering." Construction Management and Economics 26, no. 5 (May 2008): 531–41. http://dx.doi.org/10.1080/01446190802036144.

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24

Furtak, Erin Marie, Tina Seidel, Heidi Iverson, and Derek C. Briggs. "Experimental and Quasi-Experimental Studies of Inquiry-Based Science Teaching." Review of Educational Research 82, no. 3 (September 2012): 300–329. http://dx.doi.org/10.3102/0034654312457206.

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Although previous meta-analyses have indicated a connection between inquiry-based teaching and improved student learning, the type of instruction characterized as inquiry based has varied greatly, and few have focused on the extent to which activities are led by the teacher or student. This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students. This framework is used to code 37 experimental and quasi-experimental studies published between 1996 and 2006, a decade during which inquiry was the main focus of science education reform. The overall mean effect size is .50. Studies that contrasted epistemic activities or the combination of procedural, epistemic, and social activities had the highest mean effect sizes. Furthermore, studies involving teacher-led activities had mean effect sizes about .40 larger than those with student-led conditions. The importance of establishing the validity of the treatment construct in meta-analyses is also discussed.
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25

Grimshaw, J. "Experimental and quasi-experimental designs for evaluating guideline implementation strategies." Family Practice 17, no. 90001 (February 1, 2000): 11S—16. http://dx.doi.org/10.1093/fampra/17.suppl_1.s11.

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26

Hastjarjo, T. Dicky. "Rancangan Eksperimen-Kuasi." Buletin Psikologi 27, no. 2 (December 5, 2019): 187. http://dx.doi.org/10.22146/buletinpsikologi.38619.

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Many studies in master psychology and professional psychology study programs used quasi-experimental methods, but there was no reference regarding quasi-experiments written in Indonesian. This article will fill in the blanks on reference to quasi-experimental methods. The article explains quasi-experimental design or non-randomized experimental design. According to Campbell quasi experimental design is divided into four types, namely (a) quasi-experimental design without control group or pretest, b) quasi experimental design with control group and pretest, c) time series design, and d) regression discontinuity design. Each type was broken down into a more specific design.
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27

Pasquato, Mario, and Nadiia Matsiuk. "Quasi-experimental Approach to Open Cluster Dynamics." Research Notes of the AAS 3, no. 11 (November 25, 2019): 179. http://dx.doi.org/10.3847/2515-5172/ab5960.

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28

Collins, Penelope, Jin Kyoung Hwang, Binbin Zheng, and Mark Warschauer. "Writing with Laptops: A Quasi-Experimental Study." Writing & Pedagogy 5, no. 2 (February 4, 2014): 203–30. http://dx.doi.org/10.1558/wap.v5i2.203.

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29

Cook, Thomas D., and Donald T. Campbell. "The causal assumptions of quasi-experimental practice." Synthese 68, no. 1 (July 1986): 141–80. http://dx.doi.org/10.1007/bf00413970.

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30

Toulany, Alene, Rory McQuillan, Jennifer D. Thull-Freedman, and Peter A. Margolis. "Quasi-Experimental designs for quality improvement research." Implementation Science 8, Suppl 1 (2013): S3. http://dx.doi.org/10.1186/1748-5908-8-s1-s3.

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31

DadKhah-Tehrani, Mahsa, and Mohsen Adib-Hajbaghery. "A Critique of A Quasi-Experimental Study." Nursing Science Quarterly 32, no. 4 (September 12, 2019): 346. http://dx.doi.org/10.1177/0894318419864342.

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32

Alexander, Paul W., and Diann Brei. "Piezoceramic Telescopic Actuator Quasi-Static Experimental Characterization." Journal of Intelligent Material Systems and Structures 14, no. 10 (October 2003): 643–55. http://dx.doi.org/10.1177/104538903038104.

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33

Landrock, Uta. "Investigating Interviewer Falsifications – A Quasi-experimental Design." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 136, no. 1 (October 2017): 5–20. http://dx.doi.org/10.1177/0759106317725640.

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This paper discusses the strengths and limitations of experimentally-orientated research in sociology. In principal, results from experiments cannot be generalized. Nevertheless they allow controlling for certain conditions that are impossible to measure during a survey. This paper gives an example: It presents findings from a quasi-experimental research on interviewer falsifications. Interviewers conducted real standardized interviews and subsequently falsified corresponding interviews in the lab. This enables a comparison of real and falsified survey data. Our research design has the limitation that there is no proof that actual falsifiers in an actual survey fieldwork environment would have falsified interviews in the same way as did the participants of our study. However, only this quasi-experimental approach allows us to know for sure which interviews are falsified.
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34

Koch, Steven F. "Quasi-experimental evidence on tobacco tax regressivity." Social Science & Medicine 196 (January 2018): 19–28. http://dx.doi.org/10.1016/j.socscimed.2017.11.004.

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35

Pike, Steven, Nicolas Pontes, and Filareti Kotsi. "Stopover destination attractiveness: A quasi-experimental approach." Journal of Destination Marketing & Management 19 (March 2021): 100514. http://dx.doi.org/10.1016/j.jdmm.2020.100514.

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36

Tallmadge, G. Kasten, and William M. K. Trochim. "Advances in Quasi-Experimental Design and Analysis." Educational Evaluation and Policy Analysis 10, no. 1 (1988): 71. http://dx.doi.org/10.2307/1163865.

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37

Dasen, Pierre R., Ramesh C. Mishra, and Jürg Wassmann. "Quasi-experimental research in culture sensitive psychology." Culture & Psychology 24, no. 3 (August 17, 2018): 327–42. http://dx.doi.org/10.1177/1354067x18779043.

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The research presented in this article follows up on several aspects of Gustav Jahoda’s long and fruitful career: (1) his early fieldwork on cognitive development in Africa, particularly in the area of spatial skills; (2) his interest in cross-cultural psychology as a research method; and (3) his insistence on bringing anthropology and psychology together. The topic of our research is the development of a so-called “geocentric” frame of spatial reference. This is a cognitive style, in which individuals describe and represent small-scale table-top space in terms of large-scale geographic dimensions. We explore the development with age of geocentric language and cognition, and the relationships between the two. We also explore the many environmental and socio-cultural variables that favor the use of this frame. We demonstrate how we untangled several of these variables by using a succession of within-society group comparisons, in several societies where a geocentric frame is in common usage (Bali, Indonesia, India, and Nepal). Our research program unfolds like a detective story, where one finding that is difficult to interpret because of several confounded variables leads to another quasi-experimental group comparison that suggests another hypothesis, which is then tested in a further session of field-work. In each case, we emphasize how important it was to have extensive linguistic and ethnographic knowledge before implementing psychological tests. The research design is not cross-cultural as such (we hardly ever perform comparisons between societies), but culturally sensitive within a series of societies; in other words, as Dasen and Jahoda (1986 , p. 413) defined it, “cross-cultural developmental psychology is not just comparative: essentially it is an outlook that takes culture seriously.”
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38

Reis, Janet, Susan Bennett, John Orme, and Elicia Herz. "Family support programs: A quasi-experimental evaluation." Children and Youth Services Review 11, no. 3 (January 1989): 239–63. http://dx.doi.org/10.1016/0190-7409(89)90023-6.

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39

Menke, JM. "Quasi-Experimental Methods For Real World Data." Value in Health 19, no. 7 (November 2016): A396. http://dx.doi.org/10.1016/j.jval.2016.09.284.

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40

Sacerdote, Bruce. "Experimental and Quasi-Experimental Analysis of Peer Effects: Two Steps Forward?" Annual Review of Economics 6, no. 1 (August 2014): 253–72. http://dx.doi.org/10.1146/annurev-economics-071813-104217.

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41

Julnes, G. "Review of Experimental and Quasi-experimental Designs for Generalized Causal Inference." Evaluation and Program Planning 27, no. 2 (May 2004): 173–85. http://dx.doi.org/10.1016/j.evalprogplan.2004.01.006.

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42

Azeem, Muhammad, Javed Iqbal, and Arfan ul Haq. "The Effect of Applying DOPS on BDS Students’ Orthodontic Skills: A Quasi-Experimental Study." Journal of the Pakistan Dental Association 28, no. 01 (February 2019): 18–21. http://dx.doi.org/10.25301/jpda.281.18.

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43

Fujii, Satomi. "An Examination of Effective Strategies for Reducing Learner Language Anxiety through Quasi-experimental Design." Journal of Management and Training for Industries 6, no. 1 (April 1, 2019): 1–16. http://dx.doi.org/10.12792/jmti.6.1.1.

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44

Andrade, Chittaranjan. "The Limitations of Quasi-Experimental Studies, and Methods for Data Analysis When a Quasi-Experimental Research Design Is Unavoidable." Indian Journal of Psychological Medicine 43, no. 5 (August 24, 2021): 451–52. http://dx.doi.org/10.1177/02537176211034707.

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A quasi-experimental (QE) study is one that compares outcomes between intervention groups where, for reasons related to ethics or feasibility, participants are not randomized to their respective interventions; an example is the historical comparison of pregnancy outcomes in women who did versus did not receive antidepressant medication during pregnancy. QE designs are sometimes used in noninterventional research, as well; an example is the comparison of neuropsychological test performance between first degree relatives of schizophrenia patients and healthy controls. In QE studies, groups may differ systematically in several ways at baseline, itself; when these differences influence the outcome of interest, comparing outcomes between groups using univariable methods can generate misleading results. Multivariable regression is therefore suggested as a better approach to data analysis; because the effects of confounding variables can be adjusted for in multivariable regression, the unique effect of the grouping variable can be better understood. However, although multivariable regression is better than univariable analyses, there are inevitably inadequately measured, unmeasured, and unknown confounds that may limit the validity of the conclusions drawn. Investigators should therefore employ QE designs sparingly, and only if no other option is available to answer an important research question.
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45

Rockers, Peter C., Peter Tugwell, Jeremy Grimshaw, Sandy Oliver, Rifat Atun, John-Arne Røttingen, Atle Fretheim, et al. "Quasi-experimental study designs series–paper 12: strengthening global capacity for evidence synthesis of quasi-experimental health systems research." Journal of Clinical Epidemiology 89 (September 2017): 98–105. http://dx.doi.org/10.1016/j.jclinepi.2016.03.034.

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46

Becker, Betsy Jane, Ariel M. Aloe, Maren Duvendack, T. D. Stanley, Jeffrey C. Valentine, Atle Fretheim, and Peter Tugwell. "Quasi-experimental study designs series—paper 10: synthesizing evidence for effects collected from quasi-experimental studies presents surmountable challenges." Journal of Clinical Epidemiology 89 (September 2017): 84–91. http://dx.doi.org/10.1016/j.jclinepi.2017.02.014.

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47

Schweizer, Marin L., Barbara I. Braun, and Aaron M. Milstone. "Research Methods in Healthcare Epidemiology and Antimicrobial Stewardship—Quasi-Experimental Designs." Infection Control & Hospital Epidemiology 37, no. 10 (June 7, 2016): 1135–40. http://dx.doi.org/10.1017/ice.2016.117.

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Quasi-experimental studies evaluate the association between an intervention and an outcome using experiments in which the intervention is not randomly assigned. Quasi-experimental studies are often used to evaluate rapid responses to outbreaks or other patient safety problems requiring prompt, nonrandomized interventions. Quasi-experimental studies can be categorized into 3 major types: interrupted time-series designs, designs with control groups, and designs without control groups. This methods paper highlights key considerations for quasi-experimental studies in healthcare epidemiology and antimicrobial stewardship, including study design and analytic approaches to avoid selection bias and other common pitfalls of quasi-experimental studies.Infect Control Hosp Epidemiol 2016;1–6
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48

Hosboyar, Melissa, Nurcan Ensari, and Patricia Denise Lopez. "A quasi-experimental study on flexible work arrangement." Pressacademia 5, no. 2 (June 30, 2018): 153–65. http://dx.doi.org/10.17261/pressacademia.2018.846.

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49

Casteleiro-Pitrez, Joana. "Augmented Reality Textbook: A Classroom Quasi-Experimental Study." IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 16, no. 3 (August 2021): 258–66. http://dx.doi.org/10.1109/rita.2021.3122887.

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50

Gwon, Sunyeong, and Ilhwan Chung. "Accrual Accounting and Fiscal Performance: Quasi-Experimental Approach." Korean Association of Governance Studies 31, no. 2 (June 30, 2021): 57–80. http://dx.doi.org/10.26847/mspa.2021.31.2.57.

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