The Type Of Validity That Establishes A Measure Covers
The Type Of Validity That Establishes A Measure Covers The Full Ran
The type of validity that establishes a measure covers the full range of a concept's meaning. a) Criterion-related validity b) Construct validity c) Content Validity d) Face Validity
Making the claim that smoking leads to cancer, heart disease, and premature mortality among smokers is considered to have what kind of validity? Choose the BEST response. a) Criterion Validity b) Construct Validity c) Face Validity d) Causal Validity
This term is used to determine how well particular items on a scale are related to one another or "how they hang together". This helps measure internal consistency of a scale. a) Causal validity b) Face validity c) Reliability d) Cronbach's alpha
When similar measurements are obtained by different observers rating the same persons, events, or places, they are said to have good inter-observer reliability. a) True b) False
A measure is ___________when it yields consistent scores or observations of a given phenomenon on different occasions, this is also a prerequisite for measurement validity. a) Generalizable b) Valid c) Cross-sectional d) Reliable
A researcher assesses inmates for prevalence of mental illness at prison entry and exit, the degree to which the two measurements are related is called ______. a) Internal Validity b) Criterion Validity c) Predictive Validity d) Test-retest reliability
ACT and SAT scores are said to have what kind of validity in determining how well prospective students will do in college. a) Criterion-Related Validity b) Content Validity c) Test-retest reliability d) Predictive Validity
To prevent testing (a threat to internal validity), a researcher gives slightly different versions or _________ of an assessment at different points in time. a) Test-retest reliability b) None of these c) Split halves reliability d) Alternate Forms
Construct validity measures how well something is measured in comparison with ______. a) A measure taken later in time b) A measure that is related to other measures as specified in a theory c) A population d) A unit of analysis
What is the main difference between validity and reliability? a) None of these b) Validity refers to accuracy and reliability gauges consistency c) Validity refers to consistency, reliability refers to accuracy d) Validity and reliability are the same
What are the four main types of measurement validity? a) Test-retest, construct, content, inter-observer b) Construct, content, face, and criterion c) Criterion, face, test-retest, construct d) Content, face, generalizability, focus
Joan is interested in researching neighborhood home robbery rates in Orange County, Florida. She extracts data from the Orange County Sheriff's Office and identifies the neighborhoods with the highest robbery rates. Which of the following describes the kind of data Joan is using for her research? a) None of these b) Secondary Data c) Primary Data
Joan decides to add other variables to her analysis: (rural, urban, suburban communities), season (Spring, Summer, Autumn, and Winter), average income of residents, and number of days between burglaries. Which of the following is true regarding the variable (rural, urban, or suburban communities)? a) This is an interval variable b) This is a dichotomous variable c) This is a ratio variable d) This is a categorical variable
Which of the following is a viable research question for Joan regarding the predictors of residential robberies in Orange County, FL? a) All of these b) What influence does the season of the year have on the likelihood of residential robberies occurring in Orange County, FL? c) What is the relationship between the rate of robberies and type of residential community (rural, urban, or suburban)? d) What are the predictors of residential robberies in Orange County, FL?
Joan chooses "What are the predictors of residential robberies in Orange County, FL?" What is the dependent variable? a) None of these b) Residential robberies c) Orange County d) The predictors
In Joan's research question "What are the predictors of residential robberies in Orange County, FL?" Which of the following is the unit of analysis? a) Geographical Cluster: Orange County, FL b) None of these c) Robberies d) Predictors of robberies
In Joan's research question, "What are the predictors of residential robberies in Orange County, FL?", which of the following is the independent variable? For clarification the following are predictors she will use: (rural, urban, suburban communities), season (Spring, Summer, Autumn, and Winter), average income of residents, and number of days between burglaries. a) The predictors b) None of these c) Residential robberies d) Orange County
A researcher wishes to test the hypothesis that low education affects crime. He gathers a sample of people aged 25 and older. What is the independent variable? a) Men and women age 25 b) None of these c) Low education d) Crime
A researcher wishes to test the hypothesis that low education affects crime. He gathers a sample of people aged 25 and older. What is the dependent variable? a) Group of answer choices b) none of these c) People 25 and older d) Low education e) Crime
A researcher wishes to test the hypothesis that low education affects crime. He gathers a sample of people aged 25 and older. What is the unit of analysis? a) Organization b) Individuals (aged 25 or older) c) Social artifacts d) None of these
Paper For Above instruction
Validity is a fundamental concept in the field of research methodology, essential for ensuring that the measurements and instruments used accurately capture the constructs they intend to measure. Establishing the appropriate type of validity is crucial, depending on the research question, design, and context. The primary types of validity include content validity, construct validity, criterion-related validity, and face validity, each serving a different purpose in the validation process.
Content validity refers to the extent to which a measurement adequately covers the entire domain of the concept being assessed. For instance, a depression scale should encompass all relevant symptoms and aspects of depression to be considered content valid. Construct validity, on the other hand, gauges whether the measurement truly reflects the theoretical construct it aims to measure. This involves correlating the measure with other variables or measures based on theoretical expectations, ensuring the instrument phenomena’s accuracy. Criterion-related validity examines how well a measure correlates with an external criterion considered a gold standard, such as using SAT scores to predict college success. Conversely, face validity pertains to whether the measure appears to be effective in capturing the intended construct, often assessed subjectively.
The distinction between validity and reliability is foundational; validity pertains to the accuracy of the measure, whereas reliability concerns the consistency across different measurements or occasions. A measure must be reliable to be valid, but reliability alone does not guarantee validity. For example, a scale that consistently overestimates weight is reliable but not valid for measuring actual weight.
Reliability, particularly internal consistency, can be assessed through measures such as Cronbach's alpha, which evaluates how well the items on a scale hang together. Additionally, inter-observer reliability measures whether different raters produce consistent results when assessing the same phenomena. For instance, if two observers evaluate the same event and produce similar ratings, the measurement is said to have high inter-rater reliability. Another aspect of reliability is test-retest reliability, which measures the stability of a measure over time. To account for potential variations in testing, researchers often use alternate forms of assessments to reduce threats like testing effects, ensuring that the measurement process remains valid and reliable over different occasions.
In evaluating validity, researchers consider the relationship between different measures, such as whether an earlier measure predicts a later outcome (predictive validity), or how well a measure aligns with theoretical concepts (construct validity). Content validity ensures the measure covers the full conceptual domain, while criterion validity compares it to external benchmarks. Face validity, although subjective, helps determine if the assessment appears appropriate to stakeholders.
In the context of research design, the choice of data sources is vital. Secondary data, such as police records or administrative datasets, are often employed in social research, providing valuable insights without the need for primary data collection. Variables can be classified according to their measurement level: nominal (categorical), dichotomous (binary), ordinal (ranked), interval, or ratio. For example, the classification of communities as rural, urban, or suburban constitutes a nominal or categorical variable, highlighting the importance of selecting appropriate measures for analysis.
Research questions must be formulated carefully to guide the investigation effectively. For example, a question such as "What are the predictors of residential robberies in Orange County, FL?" involves identifying variables that influence the outcome, which in this case is the number or rate of robberies. The dependent variable typically reflects the main outcome of interest—in this case, the residential robberies—while independent variables are the predictors, such as community type, season, or income levels.
The unit of analysis refers to what is being analyzed or measured in the study, such as individuals, organizations, or geographical units. Joan’s research on robbery rates uses the neighborhoods as units of analysis, with the neighborhoods themselves being the primary level at which data is aggregated or analyzed. Similarly, in studies examining hypotheses like the effect of education on crime, the unit of analysis might be individuals aged 25 or older, with education level as the independent variable and crime involvement as the dependent variable.
In conclusion, understanding the different types of validity and their applications is crucial in designing robust research studies. Proper operationalization of variables, clear formulation of research questions, and appropriate data collection methods all hinge on a thorough grasp of measurement validity and reliability. These concepts ensure that the research findings are both accurate and reliable, ultimately advancing scientific knowledge in social sciences.
References
- Babbie, E. (2016). The Practice of Social Research. Cengage Learning.
- Crocker, L., & Algina, J. (2008). Introduction to Classical and Modern Test Theory. Cengage Learning.
- Groves, R. M., et al. (2009). Survey Methodology. Wiley.
- Kaplan, R. M., & Saccuzzo, D. P. (2017). Psychological Testing: Principles, Applications, and Issues. Cengage Learning.
- Loevinger, J. (1957). The technical aspects of clinical validity in psychological testing. Psychological Review, 64(1), 37-40.
- Newton, R. R., & Rudestam, K. E. (2014). Your Statistical Consultant: Answers to Your Data Analysis Questions. Sage Publications.
- Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin.
- Tabachnick, B. G., & Fidell, L. S. (2018). Using Multivariate Statistics. Pearson.
- Thompson, B. (2012). Measurement and Evaluation in Psychology and Education. Pearson.
- Wainer, H. (2010). Psychological Testing and Assessment. Routledge.