Segmentation using two-step cluster analysis

The purpose of this chapter is to explain the rationale for employing TwoStep cluster analysis as a market segmentation method within social marketing. Here, the key stages to be performed and the validation techniques required for effective application of this clustering technique are outlined. To further support the application of this cluster analysis technique as a profiling tool, a review of 25 recent market segmentation studies that have utilised this method is provided. Finally, a case study is provided to demonstrate how TwoStep cluster analysis is employed to segment respondents for an active school travel social marketing campaign that was being developed in Queensland at time of writing. Based on a sample of 537 respondents, three segments were identified and validated, each of which differed significantly based on psychographic, behaviour, geographic and demographic variables. Limitations of the TwoStep Cluster Analysis method are also provided, and opportunities for future research employing TwoStep cluster analysis within a social marketing context conclude this chapter.

[1]  W. Marelich,et al.  Resiliency in young children whose mothers are living with HIV/AIDS , 2008, AIDS care.

[2]  E. Dempsey,et al.  International survey on diagnosis and management of hypotension in extremely preterm babies , 2014, European Journal of Pediatrics.

[3]  S. Knardahl,et al.  Coping strategies: a prospective study of patterns, stability, and relationships with psychological distress. , 2014, Scandinavian journal of psychology.

[4]  Soo K. Kang,et al.  Reference Group Influences among Chinese Travelers , 2006 .

[5]  Shintaro Okazaki,et al.  Lessons learned from i-mode: What makes consumers click wireless banner ads? , 2007, Comput. Hum. Behav..

[6]  Knut Engedal,et al.  High score on the Relative Stress Scale, a marker of possible psychiatric disorder in family carers of patients with dementia , 2007, International journal of geriatric psychiatry.

[7]  N. Prebensen,et al.  Segmenting Potential Nature-Based Tourists Based on Temporal Factors , 2015 .

[8]  J. Powell,et al.  Do lifestyle choices explain the effect of alcohol on bone mineral density in women around menopause? , 2012, The American journal of clinical nutrition.

[9]  A. Kuijpers-Jagtman,et al.  Dentofacial characteristics of patients with hypodontia , 2010, Clinical Oral Investigations.

[10]  Sonny H. M. Tse,et al.  Attitudes and skills of Hong Kong Chinese medicine practitioners towards computerization in practice: A cluster analysis , 2005, Medical informatics and the Internet in medicine.

[11]  Morten Birkeland Nielsen,et al.  Do targets of workplace bullying portray a general victim personality profile? , 2007, Scandinavian journal of psychology.

[12]  Jean-Marie Bamvita,et al.  Portraying Persons Who Inject Drugs Recently Infected with Hepatitis C Accessing Antiviral Treatment: A Cluster Analysis , 2014, Hepatitis research and treatment.

[13]  T. Mendoza,et al.  Impact of cancer-related symptom synergisms on health-related quality of life and performance status. , 2008, Journal of pain and symptom management.

[14]  N. Owen,et al.  Destinations that matter: associations with walking for transport. , 2007, Health & place.

[15]  M. Chan,et al.  Investigating spiritual care perceptions and practice patterns in Hong Kong nurses: results of a cluster analysis. , 2006, Nurse education today.

[16]  P. Rompré,et al.  Identification of a Sleep Bruxism Subgroup with a Higher Risk of Pain , 2007, Journal of dental research.

[17]  Sharyn Rundle-Thiele,et al.  Destination Segmentation: A Recommended Two-Step Approach , 2010 .

[18]  M. Norusis IBM SPSS Statistics 19 Statistical Procedures Companion , 2011 .

[19]  P. Kotler,et al.  Principles of Marketing , 1983 .

[20]  Sharyn Rundle-Thiele,et al.  Using two-step cluster analysis to identify homogeneous physical activity groups , 2015 .

[21]  D. Helm,et al.  Subgrouping outpatients of an environmental medicine unit using SCL-90-R and cluster analysis. , 2007, International journal of hygiene and environmental health.

[22]  C. Batzios,et al.  Analysing consumers’ perceived differences in wild and farmed fish , 2015 .

[23]  Timo Dietrich,et al.  Differential segmentation responses to an alcohol social marketing program. , 2015, Addictive behaviors.

[24]  Jean-Marie Bamvita,et al.  Typology of Individuals with Substance Dependence Based on a Montreal Longitudinal Catchment Area Study , 2015, Administration and Policy in Mental Health and Mental Health Services Research.

[25]  Hsin-Li Chang,et al.  Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan , 2007 .

[26]  M. Cairns,et al.  Increased inflammatory markers identified in the dorsolateral prefrontal cortex of individuals with schizophrenia , 2013, Molecular Psychiatry.

[27]  Kalevi Korpela,et al.  Activity spaces and urban adolescent substance use and emotional health. , 2009, Journal of adolescence.

[28]  Kerry A. Sherman,et al.  The Clustering of Health Behaviours in Older Australians and its Association with Physical and Psychological Status, and Sociodemographic Indicators , 2014, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[29]  Yao Wang,et al.  A robust and scalable clustering algorithm for mixed type attributes in large database environment , 2001, KDD '01.

[30]  Nadine Henley,et al.  Social marketing and social change , 2010 .

[31]  Ricardo A. Baeza-Yates,et al.  Introduction to Data Structures and Algorithms Related to Information Retrieval , 1992, Information Retrieval: Data Structures & Algorithms.

[32]  Wuyang Hu,et al.  Consumer Cluster Analysis and Demand for Blueberry Jam Attributes , 2009 .

[33]  Bettina Grün,et al.  Required Sample Sizes for Data-Driven Market Segmentation Analyses in Tourism , 2014 .

[34]  P. Honkanen Food preference based segments in Russia. , 2010 .

[35]  Timo Dietrich,et al.  One size (never) fits all: segment differences observed following a school-based alcohol social marketing program. , 2015, The Journal of school health.

[36]  Matthew T. Haren,et al.  Inverse associations between muscle mass, strength, and the metabolic syndrome. , 2009, Metabolism: clinical and experimental.

[37]  B. Cheeran,et al.  Inter-individual Variability in Response to Non-invasive Brain Stimulation Paradigms , 2014, Brain Stimulation.

[38]  M. J. Norušis,et al.  SPSS 14.0 Advanced Statistical Procedures Companion , 2005 .

[39]  N. Prebensen,et al.  French nature-based tourist potentials to Norway: Who are they? , 2012 .

[40]  H. Doll,et al.  The severity and status of eating disorder NOS: Implications for DSM-V , 2007, Behaviour research and therapy.