Quantitative Research Lizabeth Reilly, RN, MSN
Who am I? What sparked my interest in research? When did I start my research journey? Where did I start and where am I hoping to go? Why do you need know? Now- I work at (425 bed Level 1 Trauma Center) Introduction
What will we learn today? Our Objectives: What is it- Quantitative research Why do we use it How do we use it Where do we use it The p of it all Quantitative Research
Quantitative Research Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. of or relating to how much there is of something : of or relating to the quantity or amount of something Define
Quantitative research is used to quantify the problem by way of generating numerical data or data that can be transformed into useable statistics. It is used to quantify attitudes, opinions, behaviors, and other defined variables - and generalize results from a larger sample population. Quantitative Research uses measurable data to formulate facts and uncover patterns in research. How is Quan research used
To test hypotheses Look at cause & effect Make predictions. Why do we use it?
Quantitative data collection methods are structured. Quantitative data collection methods include various forms of surveys - online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations. How do we collect this data
Samples and surveys are considered the most important components of quantitative research. Survey design calls for properly defining the target population, determining ways to make contact, and dividing up the population so a sample can be properly drawn. Survey options are varied and include postal, telephone, face-to-face, house-to-house and online. The quality of the final data is influenced by a number of factors, including an understanding of the population's biases and the way interviews or surveys are conducted. How do we collect this data (2)
Quantitative research is used in a variety of fields. Psychology Economics Sociology Community health Gender and Political science Anthropology History Healthcare Who likes Quan research
Data analysis is conducted by gathering, processing, inspecting, cleaning, transforming and modeling data. There are a variety of tools that are important for modeling data, including both graphical and quantitative techniques. All data analysis requires a strong understanding of mathematical statistics. (Where will I get my p from?) Quantitative- Data
Descriptive Research Correlational Research Causal-comparative/quasiexperimental research Experimental research Types of Quantitative Research
Descriptive research seeks to describe the current status of an identified variable. These research projects are designed to provide systematic information about a phenomenon. The researcher does not usually begin with an hypothesis, but is likely to develop one after collecting data. The analysis and synthesis of the data provide the test of the hypothesis. Systematic collection of information requires careful selection of the units studied and careful measurement of each variable. Descriptive research
A description of the tobacco use habits of teenagers A description of the attitudes of scientists regarding global warming A description of the kinds of physical activities that typically occur in nursing homes, and how frequently each occurs Examples of Descriptive Research:
Descriptive studies can involve a one-time interaction with groups of people ( cross-sectional study ) or a study might follow individuals over time ( longitudinal study ). Descriptive studies, in which the researcher interacts with the participant, may involve surveys or interviews to collect the necessary information. Descriptive studies in which the researcher does not interact with the participant include observational studies of people in an environment and studies involving data collection using existing records (e.g., medical record review). Case example of a descriptive study Descriptive studies are usually the best methods for collecting information that will demonstrate relationships and describe the world as it exists. These types of studies are often done before an experiment to know what specific things to manipulate and include in an experiment. Bickman and Rog (1998) suggest that descriptive studies can answer questions such as what is or what was. Experiments can typically answer why or how. Examples of Descriptive Research
Cardiology lipids profiles and MI Coumadin and Diabetes Internal Medicine Diabetes and Kidney disease The association between education level and Cardiovascular (CV) events and Cerebrovascular events- Describing the relationship Records Review
Correlational research attempts to determine the extent of a relationship between two or more variables using statistical data. In this type of design, relationships between and among a number of facts are sought and interpreted. This type of research will recognize trends and patterns in data, but it does not go so far in its analysis to prove causes for these observed patterns. Correlational research
Correlational Cause and effect is not the basis of this type of observational research. The data, relationships, and distributions of variables are studied only. Variables are not manipulated; they are only identified and are studied as they occur in a natural setting. Correlational research
*Sometimes correlational research is considered a type of descriptive research, and not as its own type of research, as no variables are manipulated in the study. Correlational research
The relationship between intelligence and self-esteem The relationship between diet and anxiety The covariance of smoking and lung disease Examples of Correlational Research:
MilNOD- Military Nursing Outcomes Database What were we studying? Why were we studying it? What did we come up with? MilNOD
Just a reminder: (Independent variable) causes a change in the (Dependent Variable) and it isn't possible that (Dependent Variable) could cause a change in (Independent Variable). Variables
Causal-comparative/quasiexperimental research attempts to establish cause-effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences. An independent variable is identified but not manipulated by the experimenter, and effects of the independent variable on the dependent variable are measured. Causal-comparative/quasiexperimental research
The researcher does not randomly assign groups and must use ones that are naturally formed or pre-existing groups. Identified control groups exposed to the treatment variable are studied and compared to groups who are not. Causal-comparative/quasiexperimental research
When analyses and conclusions are made, determining causes must be done carefully, as other variables, both known and unknown, could still affect the outcome. A causalcomparative designed study, described in a New York Times article, "The Case for $320,00 Kindergarten Teachers," illustrates how causation must be thoroughly assessed before firm relationships amongst variables can be made. Causal-comparative/quasiexperimental research
Cancer and Exercise Diabetes and diet intervention Smoking cessation and classes Decreasing lipids and diet Model of PTSD in Military personnel- Defined groups- VA DoD Results of this shown it takes ~ 40 years to mitigate the effects of war. This is a fluid and dynamic state and needs more defining. Causal-comparative Quasi/Experimental: Examples
Experimental research: often called true experimentation, uses the scientific method to establish the cause-effect relationship among a group of variables that make up a study. The true experiment is often thought of as a laboratory study, but this is not always the case; a laboratory setting has nothing to do with it. A true experiment is any study where an effort is made to identify and impose control over all other variables except one. An independent variable is manipulated to determine the effects on the dependent variables. Subjects are randomly assigned to experimental treatments rather than identified in naturally occurring groups Experimental research
The effect of a new treatment plan on breast cancer The effect of a new systematic approach to Caregiver stress. A comparison of the effect of personalized instruction vs. traditional instruction on CPR skill Does taking alternative therapies change the effects of awakening of rats? Decrease in Vit D in Postmenopausal women- Results were negative. Examples of Experimental Research:
Pain study- Randomized protocol for pain with and w/o intervention Exercise protocol- Randomized types of exercise for CA patients. Experimental Research
The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H 0 ) of a study question is true the definition of 'extreme' depends on how the hypothesis is being tested. The p
When I roll the dice what are my chances of rolling a 6? Ratio 1:6 Percent 17% Fraction 1/6 Decimal 0.17 Chance??? The p
The p value stands for probability. It is the true prediction of whether the hypothesis could have happened by chance. The lower the number the better The p=>.001 What is the p?
Quantitative research We use it to quantify something- measure something Types of Quantitative research Descriptive Correlational Causal Comparative Experimental The p The lower the number the better Review
Full list of References available upon request. MilNOD Reilly, M. Anesthesia (2009) New York Times article, "The Case for $320,00 Kindergarten Teachers, Xavier University Library, QUALITATIVE VERSUS QUANTITATIVE RESEARCH The association between educational level and cardiovascular and cerebrovascular diseases within the EPICOR Study: New evidence for an old inequity problem (Oct 2016) A dynamic model of Post Traumatic Stress Disorder for Military Personnel and Veterans (Oct 2016) Repletion of vitamin D associated with deterioration of sleep quality among postmenopausal women (Sep2016) http://www.snapsurveys.com/qualitative-quantitative-research/ http://libguides.usc.edu/writingguide/quantitative https://www.reference.com/world-view/quantitative-research-bc9e8212fb16a6e0 http://libweb.surrey.ac.uk/library/skills/introduction%20to%20research%20and http://www.merriam-webster.com/dictionary/quantitative References
Questions Thank you!!!