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An approach that takes advantage of naturally occurring events or available information to generate new insights |
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1. Describe the sample that makes up the study 2. Describe a problem or phenomenon 3. Document incidence or prevalence of health conditions 4. Document developmental phenomenon 5. Establish norms |
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5 uses of descriptive studies |
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how many people have a condition within a certain time frame |
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establishes what is typical for a certain population. Important in practice as a basis for planning remediation and predicting future performance |
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proportion of population with a condition (% |
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Describes patterns of change in typical growth and development. Generally a cohort design of following a sample of participants over time and measuring at various intervals to collect data on changes in variables. |
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1, Secondary Analysis/Incidence or Prevalence Studies (primarily in public health & medical research) 2. Normative research 3. Developmental 4. Case Study (Quantitative or Qualitative) -Retrospective, descriptive study 5. Survey |
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Types of Descriptive research designs |
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an in-depth review and description of an individual’s condition or response to treatment, or can be a group/institution such as a school, community site, or healthcare setting. Often retrospective. |
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In-depth analysis of behaviors of a single subject or small group of subjects which serve as their own controls |
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Brief interview with an individual/s on specific topic that is face to face or via questionnaire (later more common) |
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-Observation -Interview -Survey -Record review -Equipment -Tests, assessments, and inventories |
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-Event Recording -Duration Recording -Interval Recording or Time Sampling -Nominal data |
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Types of observation recording |
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Momentary interval sampling: |
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Interval sampling: -moment in time i.e., every 5 seconds |
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Interval sampling: -how many times something occurs within a time period |
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-Ratio -Interval -Ordinal -Nominal |
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Type of data: -Highest level of measurement -Interval scale with an absolute zero -A score of zero represents total absence of property being measured -Negative values not possible |
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Range of motion, height, weight, blood pressure are examples of what type of data? |
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Type of data: -Rank order -Equal distances between variables -Can apply some quantitative method |
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Temperature, IQ score are examples of what type of data? |
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Type of data: -Requires items to be rank ordered -Data is organized into categories that exhibit a ‘more than, less than’ relationship -Great deal of clinical constructs fall into this such as function, strength -Surveys often use this type of research to describe attitudes or preferences (strongly agree, agree) |
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Type of data: -Purely labels for identification -No quantitative value |
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Blood type, male/female and Questionnaires code such as (0) no (1) yes, (0) disagree (1) agree are examples of what type of data? |
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Analysis of data: -mean, median, mode |
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Analysis of data: -range and standard deviation |
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-Frequencies and percentages -Central tendencies -Relative position |
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How to analyze data in a descriptive study |
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An article that provides a summary of the scientific literature about a topic |
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has a systematic process of looking at the literature; has specific search terms and specific types of research they are looking at to see if all the literature on a particular topic is effective; usually randomized controlled trials |
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statistical analysis of the studies that support a particular topic (review of literature) usually use randomized controlled trials |
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An article that provides a structured report of findings from a research investigation |
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An article that provides a structured description of a novel approach to assessment and/or intervention with a single client or a small number of clients |
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An article that discusses novel or controversial information about a topic of broad impact within a profession |
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-Literature review -Experimental report -Case report -Opinion paper |
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Major types of research articles |
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Peer-reviewed journal article— |
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A research article that has undergone intensive review by at least two other professionals who are considered peers of the authors in a given field of study |
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Abstract Introduction Methods Results Discussion References |
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Sections of research article |
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3 Important sections to focus on in a research article |
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-Strength of evidence -Size of the effect -Relevance of the evidence |
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Levels of evidence in quantitative research |
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-Study design -Quality of evidence -Statistical precision |
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Elements of "strength of evidence" |
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To be at highest level of evidence can only include RCTs. |
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Randomized Control Trials (RCT): |
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Participants don’t know if getting treatment or control/placebo. Reduces bias and increases validity of findings. |
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is a comparison of one group with a condition with another group without the condition |
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Report the effects of an intervention on one person with no control involved. |
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§Blinding: subject/participant
§Reduces bias due placebo effect
§Double-blind: researcher & subject
§Also reduces researcher/experimenter bias & observation bias |
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How well a study minimized bias |
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Accuracy of outcomes using appropriate statistical analysis |
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Indicates the degree of an effect from an intervention that exceeds an effect without intervention. |
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Degree of confidence that the outcome of the intervention is a true effect versus by chance. Reported as a range. |
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The relevance of an assessment tool used to measure effectiveness of an intervention |
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How well the researchers/authors: -Describe the study background, the purpose, the research question, the methods, and analysis |
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Methodological congruence |
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Rigor in Procedures & Confirmability (enough detail to replicate the study) -Reduce bias (equal weight of high versus low status informants) -Reduce effect of researcher presence --Ex: disclose status as an observer in a group -Appropriate recruitment -Sufficient amounts of data collected (saturation) to prevent fabrication of findings -Confirmability of data collection and analysis |
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-Any propositions made are verified by the data -Theoretical statements are close to findings -The themes, categories, or theoretical statements must form a clear, cohesive picture --Any themes or statements must be directly tied to the research without any assumptions or bias associated |
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Theoretical Connectedness |
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-Theoretical constructs and their relationships are validated by the data, clearly defined and sufficient to form a new theory or confirms existing theory --Supporting or expanding on an existing theory or developing a new theory (needs to be clear in the discussion section of the research paper) |
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-Applicability of findings to practice -The findings are consistent with the field’s knowledge base -Importance of the finding to current knowledge -New phenomenon acknowledge existing evidence or shows how it fills a gap |
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A method of inquiry characterized by collecting data using structured questions to elicit self-reported information from a sample of people |
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-Reach a large number of people (i.e., respondents) -Have minimal expenditures related to data collection -Collect data on numerous variables -Perform statistical manipulation during data analysis that permits multiple uses of the data set |
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Survey research allows investigators to: |
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1. Nonresponse bias 2. Response bias |
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-Being unable to recall information accurately -Interpreting the meaning of questions differently than the meaning intended by the researcher -Choices that do not accurately express respondents’ experiences or opinions |
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Self-administered questionnaires |
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What type of survey is: -Mailed -Administered online -Distributed and collected at convenient points of contact |
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What type of survey is: -Telephone interviews -Face-to-face interviews |
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What type of survey is: -Historically, the most common method of collecting survey data -Advantages include: --Can be completed at the respondent’s convenience --No time constraint -Disadvantages include: --Can be time consuming --Many follow-ups may be required --Response rate lower than interviews |
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Directly administered questionnaires |
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What kind of survey is: -Given to participants in person at an opportune moment when the researcher has a captive audience -Advantages include: --Data collection takes less time --No mailing costs -Disadvantages include: --Limits sampling strategies --Less flexibility in time frame |
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Electronic questionnaires |
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What kind of survey is: -Two methods of administration are e-mailed surveys and surveys accessible through the World Wide Web through a survey portal -Advantages include: --Faster administration --Administration can incorporate features that paper questionnaires cannot --Data can be directly imported for analysis -Disadvantages include: --Only people with computers or computer skill can be contacted --Raises concerns over privacy and anonymity (if through email) |
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What kind of survey is: -Data is collected by a trained interviewer who can ensure that the survey is administered in a standardized format -Advantages include: --Potentially short data collection period --Cost less than face to face, but more than mailed & electronic --Afford more perceived anonymity --Easier to sample a large geographical area -Disadvantages include: --Less interviewer control --Limited ability to support questionnaires with visual aids --Only people with telephones can be contacted --Opportunity to establish credibility is more limited |
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What kind of survey is: -Data is collected in-person by trained interviewers -Advantages include: --Ideal for contacting hard-to-reach populations --Reduce/eliminate missing data -Disadvantages include: --Cost of travel --Longer data collection period --Interviewer can be a source of bias --Concerns about personal safety of the interviewers and lack of respondent anonymity |
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1. Defining and clarifying the survey variables 2. Formulating the questions 3. Formatting the questionnaire or interview schedule 4. Piloting and revising the questionnaire/interview schedule |
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Steps for building a questionnaire/interview: |
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Defining and clarifying the survey variables |
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Which step in the "building a questionnaire/interview process is the following: -This may be done through a review of the literature and/or interacting with the target population -“As many as necessary and as few as possible” is sound advice so as to minimize respondent burden and survey costs (Abramson & Abramson, 1999) -Each of the variables should be clearly defined both conceptually and operationally |
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Formulating the questions |
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Which step in the "building a questionnaire/interview process is the following: -Have face validity, that is, they should reflect what the investigator wants to know and be obvious in meaning for the respondents -Ask about things for which the respondent can be expected to know the answer -Be clear and unambiguous, be user-friendly, and not be offensive -Questions should not contain assumptions or biases -Can use open or closed-ended questions: |
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Formatting the questionnaire or interview schedule |
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Which step in the "building a questionnaire/interview process is the following: -Clear instructions -The survey should have an uncluttered appearance -A 12-point type font is preferable (larger for limited vision) -The questions should all start at the left margin -All the parts of a question should be on the same page -Response categories should have a vertical response format -Response choices should have a numerical code to be circled -Question sequence |
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Piloting and revising the questionnaire/interview schedule |
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Which step in the "building a questionnaire/interview process is the following: -Through this step in the process, an investigator may determine: --Whether respondents can reasonably understand and respond to the questions --If the interviewers will be able to convey the questioning format as it is written -The most common ways of gathering such data are focus groups, field pretesting, and individual interviews |
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limit a respondent’s choices; however, they are easier to statistically analyze |
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can provide more rich data, but challenging to analyze |
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can be used to provide information to develop the questions and or to evaluation the questions once developed. |
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have small sample of population (15-30) take questionnaire. |
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ask participants to paraphrase their understanding of the questions, define the terms used in the questionnaire, and identify any confusion or concern |
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-Sampling strategies -Response rates -How the survey is carried out |
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Three key factors that influence study rigor are: |
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-Limited ability to generalize -Not able to account for possible selection bias -OK for exploratory or pilot study |
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Simple random sample Stratified random sample |
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Two types of random surveys: |
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-Ensuring access -Gaining cooperation |
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Reducing nonresponse rates in telephone and face-to-face interview surveys involves: |
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Typical response rate for telephone or face to face interviews: |
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-Developing a well-presented questionnaire and sending multiple mailings to nonrespondents -Three mailings of the questionnaire and a cover letter are recommended, with the mailings about 1 month apart |
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Reducing nonresponse rates in mailed surveys involves: |
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Typical response rate for mailed surveys: |
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research that includes in-depth analyses of the behaviors of a single research subject or of a relatively small group of subjects that is considered collectively |
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research that is useful for answering questions regarding the effectiveness of specific interventions |
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Case study (this definition is from the book) |
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a qualitative design in which researchers obtain and reveal information about a phenomenon from a single-subject under study by gathering in-depth information |
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Type of research in which an investigator studies the effects of an intervention on a single individual over time with no control; is not considered to be randomized and also represents a lower level of evidence |
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A longitudinal study of case report-information from a single group of subjects who were given a similar intervention |
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Advantages -Typically 2-3 people (depends on the number of variables you are studying, sometimes 2-6) -Recommend that you do a pilot study first -Gives results more validity (gives strength to the outcomes) -Can compare the individuals you studied |
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Single subject case study |
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Advantages -In depth examination of whatever it might be -More convenient in practice (easier to manage) -Good for a novice researcher -Describing a specific case -Looking at progress over time -Can modify the intervention over time to get better results |
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-Background literature on patient problem/condition -Full history of the patient -A methods section that provides literature to support intervention used -Results of the patient’s response to treatment, including tables and graphs to present data -Areas for further study discussed |
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collecting data with the same group over long period of time if the primary interest is the study of patterns of change. |
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collecting data on different age groups at same time when the primary interest is description of typical individuals at various stages of life |
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Historically controlled studies |
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compare a group receiving an intervention with retrospective data from another group that did not receive the intervention (smart phone app for out pt OT appointments) |
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1. Descriptive Vividness
2. Methodological Congruence
3. Analytical Preciseness
4. Theoretical Connectedness
5. Heuristic Relevance |
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5 dimensions of Quality of Evidence |
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1. Strength of Evidence
2. Effect of Size
3. Relevance of Evidence |
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Levels of Evidence of Quantitative Research |
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Stratified random sampling |
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type of sampling where the selection is taken from identified subgroups in the population |
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type of sampling in which each member of the subset has an equal probability of being chosen |
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Used to characterize the shape, central tendency, and variability within a set of data |
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-Range -Standard deviation -Percentiles |
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A structure is needed that allows us to recognize trends/averages |
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total number of scores, called n |
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table of rank ordered scores that shows the number of times a value occurred (it’s frequency) |
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Typically represented as a frequency table |
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number of new cases/incidents in certain time period (5 per 1000 people) |
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total number of cases/incidents among population (15 per 1000) |
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best for analysis of ratio and interval data |
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is most meaningful for nominal data |
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Difference between lowest & highest score |
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Score which represents its position relative to other scores |
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Divides distribution of scores into 4 equal parts Provides a comparison of subgroups within a data set |
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