Variable Operationalization

By Published on October 5, 2025
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  1. QUESTION 

    Title:

    Variable Operationalization

     

    Paper Details

    Please use attached files/info.

     

    Discussion Assignment

    How might one operationalize the following variables: diet, physical activity, health status, and social support? Be sure to note variable type (categorical versus continuous) and/or level (nominal, ordinal, interval, ratio).

     

    it is a discussion question and I attached some examples of what the professor wanted.

     

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Subject Nursing Pages 4 Style APA
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Answer

Variable operationalization

Research involves measurement of various variables or concepts on research subjects. Variable operationalization refers to the methods a researcher uses to manipulate a variable, from abstract concepts to a form in which it can be measured and quantified (Gordis, 2013; Statistics Learning Center, 2011). In relates to the process undertaken that allows data on a given variable to be obtained.

Operationalization of variables follow the following procures:

  • Identify the variable or concept
  • Define the concept or variable to be measured
  • Determine how the variable can be measured quantitatively
  • Determine the method of obtaining the measure

DISCUSSION: How might one operationalize the following variables: diet, physical activity, health status, and social support? Be sure to note variable type (categorical versus continuous) and/or level (nominal, ordinal, interval, ratio).

Variable: Diet

Variable definition:  Diet refers to the food eaten by an individual during a given meal (Han & Dingemanse, 2017). Different foods have different nutritional values and can be grouped as high nutritious food or low nutritious food. Diet would be a categorical variable because then it is made up of categories, i.e high nutritious and low nutritious.

Measures of the variable: Diet can be measured as lists of all the foods eaten by an individual then determining the nutritional value of each.

Determine a method for obtaining the measure: Administer a diet assessment questionnaire. This tool has been shown to be valid and reliable for assessing nutritional value of diets (Lee, et al., 2014). Additionally one can develop a survey tool with questions for the respondent to list the foods eaten at a particular meal, say dinner on the previous day (Shiraishi, et. al., 2017). The listed foods can then be grouped based on their nutritional value, giving two mutually exclusive groups. The level of measurement for the variable would be nominal where each mutually exclusive group is assigned a numerical value. Another method would be administering a 24h- dietary recall and a single-item self-rated diet quality measure. further still, nutritional value of respondent diet can be measured by computing Healthy-Eating Index -2010 (HEI) scores from dietary recall (Adjoian, et. al., 2016).

Variable: Physical activity

Variable definition: physical activity refers to any bodily movement produced by skeletal muscles (Ainsworth & Buchholz, 2017)

Measures of the variable: As a categorical variable, physical activity can be measured using intensity of activity; such as no activity, mild activity, moderate activity and vigorous activity (Neil-Sztramko, et. al., 2017). Physical activity can also be measured as meeting national recommended cut off or not (Neil-Sztramko, et. al., 2017;Tandon, et al., 2016).

Method of obtaining the measure:  Can be measured using questionnaires, pedometers, and accelerometers.

Questionnaires: These can be researcher-administered have questions that ask the respondents about the amount of time per week they engage in physical activity. The variable is measured on an ordinal scale where depending on the amount of time indicated, responses are ranked from no activity to mild to moderate then vigorous. The variable can also be measured on a nominal scale by assigning one numerical value to the respondents who meet a recommended physical activity level and another number for those who do not meet the recommended level.

Pedometers: These can be worn by respondents to measure the level of physical activity on a given day, after which the measure is recorded on an ordinal scale (Ainsworth & Buchholz, 2017).

There are other tools than can measure intensity of physical activity as light to moderate physical. These tools include Actigraph, SenseWear Armband and Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire (Almeida, et. al., 2016).

Variable: Health Status

Variable definition: Health status refers to the overall condition of health, of an individual or a population (Madans, 2014; Frempong-Ainguah, 2014). It can be a continuous variable measured as a score, obtained from measurement of certain parameters that indicate health status.

Measures of the variable: Health status can be measured as quality of life (Younsi & Chakroun, 2014; Madans, 2014)

Method of obtaining the measure: Health status can be measured using by using standardized and validated instruments such as EuroQol 5 dimensions (EQ-5D) instrument. This instrument can be administered as a cross-sectional household survey. The instrument has several questions that measure health status on a Likert scale. The responses are then weighted to obtain numerical measures, where higher scores indicate better health (Marufa, et. al., 2016)

Variable: Social support

Variable definition: Social support can be defined as the benefits available to society and individuals based on their membership in social networks (Carrillo & Riera, 2017). 

Measures of the variable: Social support can be measured by scale of intensity as a continuous type variable.

Method of obtaining the measure: The measure can be obtained through surveys with questions measuring social support on a Likert, scale where respondents select best options. One such survey that has been used before is the Personal Network Questionnaire (Esteban, et. al., 2016). The responses from the Likert Scale can then be weighted to get numerical measures. Higher scores indicate more social support. Another tool to measure social support is the Family Social Scale (Kondrat, et. al., 2014) which has questions measuring several dimensions of social support on a Likert scale, which can then be weighted into a scale.

 

 

References

Adjoian, T. K., Firestone, M. J., Eisenhower, D., & Yi, S. S. (2016). Validation of self-rated overall diet quality by Healthy Eating Index-2010 score among New York City adults, 2013. Preventive Medicine Reports, 3127-131. doi:10.1016/j.pmedr.2016.01.001

Ainsworth, B., & Buchholz, S. W. (2017). Feature Article: How to Assess Physical Activity in Clinical Practice and for Scholarly Work. The Journal For Nurse Practitioners, 13(Physical Activity), 14-20.e2. doi:10.1016/j.nurpra.2016.06.020

Almeida, G. J., Irrgang, J. J., Fitzgerald, G. K., Jakicic, J. M., & Piva, S. R. (2016). Reliability of physical activity measures during free-living activities in people after total knee arthroplasty. Physical Therapy, (6). 898. doi:10.2522/ptj.20150407.

Carrillo Álvarez, E., & Riera Romaní, J. (2017). Special article: Measuring social capital: further insights. Gaceta Sanitaria, 3157-61. doi:10.1016/j.gaceta.2016.09.002

Esteban, M. S., Marti, A. S., & Hila, A. C. (2016). Measuring Social Capital and Support Networks of Young Immigrants. International Education Studies, 9(5), 62-74.

Frempong-Ainguah, F. (2014). Measuring a population's health : an exploration of women's health status in Accra, Ghana.

Gordis L. (2013). Epidemiology (4th ed). Philadelphia: Saunders Elsevier;  p. 247-63.

Han, C. S., & Dingemanse, N. J. (2017). You are what you eat: diet shapes body composition, personality and behavioural stability. BMC Evolutionary Biology, 171-16. doi:10.1186/s12862-016-0852-4

Kondrat, D., Swanke, J. R., Littlewood, K., & Strozier, A. (2014). Measuring Social Support among Kinship Caregivers: Confirming the Factor Structure of the Family Support Scale. Child Welfare, 93(3), 93-110.

Lee, R. M., Emmons, K. M., Okechukwu, C. A., Barrett, J. L., Kenney, E. L., Cradock, A. L., & ... Gortmaker, S. L. (2014). Validity of a practitioner-administered observational tool to measure physical activity, nutrition, and screen time in school-age programs. The International Journal Of Behavioral Nutrition And Physical Activity, doi:10.1186/s12966-014-0145-5

Madans, J. H. (2014). The role of statistics on health status in the context of measuring quality of life. Statistical Journal Of The IAOS, 30(3), 187-191. doi:10.3233/SJI-140837

Marufa, S., Abdur Razzaque, S., Rashidul Alam, M., Sayem, A., Wahid, A., Sanchita, C., & ... Jahangir A. M., K. (2016). Inequalities in Health Status from EQ-5D Findings: A Cross-Sectional Study in Low-Income Communities of Bangladesh. International Journal Of Health Policy And Management, Vol 5, Iss 5, Pp 301-308 (2016), (5), 301. doi:10.15171/ijhpm.2016.06

Neil-Sztramko, S. E., Rafn, B. S., Gotay, C. C., & Campbell, K. L. (2017). Determining activity count cut-points for measurement of physical activity using the Actiwatch2 accelerometer. Physiology & Behavior, 17395-100. doi:10.1016/j.physbeh.2017.01.026

Neil-Sztramko, S. E., Rafn, B. S., Gotay, C. C., & Campbell, K. L. (2017). Determining activity count cut-points for measurement of physical activity using the Actiwatch2 accelerometer. Physiology & Behavior, 17395-100.

Shiraishi, M., Haruna, M., Matsuzaki, M., Murayama, R., & Sasaki, S. (2017). Original Article: Availability of two self-administered diet history questionnaires for pregnant Japanese women: A validation study using 24-hour urinary markers. Journal Of Epidemiology, 27172-179. doi:10.1016/j.je.2016.05.005

Statistics Learning Center (2011, December 13). Types of Data: Nominal, Ordinal, Interval/Ratio – Statistics Help. Retrieved from https://youtu.be/hZxnzfnt5v8

Tandon, P. S., Tovar, A., Jayasuriya, A. T., Welker, E., Schober, D. J., Copeland, K., & ... Ward, D. S. (2016). Review Article: The relationship between physical activity and diet and young children's cognitive development: A systematic review. Preventive Medicine Reports, 3379-390. doi:10.1016/j.pmedr.2016.04.003

Younsi, M., & Chakroun, M. (2014). Measuring health-related quality of life: psychometric evaluation of the Tunisian version of the SF-12 health survey. Quality Of Life Research, 23(7), 2047-2054. doi:10.1007/s11136-014-0641-8

 

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