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90 Cards in this Set
- Front
- Back
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Intuition
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-is often wrong
-can lead to accepting unquestioningly what your own personal judgment or a single story tells you about the world -numerous cognitive and motivational biases affect our perception, may draw erroneous conclusions about cause/effect |
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Authority
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-unreliable authorities are bad
-scientific approach rejects the notion that one can accept on faith statements of any authority; evidence is needed -must have expertise in area of relevance |
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Illusory Correlation
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-bias from the proximal occurrence of two variables
-sometimes results in bad causal conclusions -seeing a connection when there is little or none |
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Empiricism
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-knowledge is based on observations
-observations accurately reported to others -search for discovery and verification of ideas -open exchange and competition among ideas -peer review of research |
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Falsifiability
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-hypothesis or theory must be testable (empirically verifiable)
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Peer Review
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-reviewed by the scientific community
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Pseudoscience
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use of scientific terms and science-like appearance to substantiate unscientific claims
hypotheses not testable methodology not scientific evidence anecdotal or unreliable authorities ignore conflicting evidence scientific-sounding rationalize strongly held beliefs vague claims claims not revised (ever) |
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Goals of (Behavioral) Science
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describe behavior
predict behavior determine causes of behavior understand or explain behavior |
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Temporal Precedence
(3 kinds of evidence) |
cause precedes the effect
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Covariation of the Cause and Effect
(3 kinds of evidence) |
when the cause is present, the effect occurs
when the cause is not present, no effect |
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Alternative Explanations
(3 kinds of evidence) |
Nothing other than the causal variable could be responsible for the observed effect.
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Hawthorne Effect
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People aware of being studied act to please to scientists
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Assumptions of Scientific Research
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knowable external world
there exist reliable methods for gaining this knowledge and understanding |
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Basic vs. Applied Research
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Basic - answer fundmental questions about the nature of behavior
Applied - address issues in which there are practical problems and potential solutions |
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Program Evaluation
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evaluates social reforms and innovations that occur in society
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Anatomy of a Research Article
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abstract - summary
introduction - past research/theories methodology - definitions/participants results - narrative of what happened and statistics discussion - analysis/confirmation |
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Archival & Correlational Research
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study of past work
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Naturalistic Observation
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researching individuals and behaviors in their natural environments; in-depth study of a phenomenon in its natural setting; investigator observes some naturally occurring behavior and does not make any changes to the situation
good generalizability lack of control |
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Case Study
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study factors, elements and phenomena in particular cases or scenarios; an in-depth study of the behavior of one person or a small group
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Survey Research
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polling and asking the population for data; asks questions of large numbers of persons to gain information on attitudes and behavior
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Experimental Research
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analysis of causal elements in a controlled environment
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Nonexperimental Method
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relationships are studied by making observations or measures of the variables of interest.
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Experimental Method
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direct manipulation and control of variables
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Experimental Units
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subjects/participants
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Operational Definition
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defines a variable in terms of the actual procedures used by the researcher to measure and/or manipulate it
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Validity
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refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure.
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Face Validity
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refers to the extent to which a measure appears to measure what it is supposed to measure
measure appears to asses the intended variable |
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Construct Validity
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adequacy of an operational definition
the degree to which a measurement device accurately measures the theoretical construct it is designed to measure |
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Content Validity
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the content of the measure is linked to the universe of content that defines the construct
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Predictive Validity
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scores on the measure predict behavior on a criterion measured at a time in the future
the criterion for predictive validity is future behavior |
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Concurrent Validity
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scores on the measure are related to a criterion measured concurrently
demonstrated by research that examines the relationship between the measure and a criterion behavior at the same time |
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Convergent Validity
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Scores on the measure are related to other measures of the same construct
the extent to which scores on the measure in question are related to scores on other measures of the same construct or similar constructs |
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Discriminant Validity
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when a variable is not related to variables with which it shouldn't be related
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Reactivity
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awareness of being measured changes individual's behavior
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Nominal Scale
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no numerical or quantitative properties: just categories
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Ordinal Scale
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rank ordering with limited numeric values
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Interval Scale
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Numeric properties are literal
Assume equal interval between values No absolute zero |
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Ratio Scale
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Zero indicates absence of variable measured
literal numeric properties |
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Reliability
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the extent to which an experiment, test, or any measuring procedure yields the same result on repeated trials
consistency/stability |
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True Score
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real score on the variable
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Measurement Error
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the amount of deviation the tests have from the true score
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Pearson product-moment correlation coefficient
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-1.00 to 0.00 to +1.00
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Test-Retest Reliability
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refers to the consistency of participants responses over time (hours and weeks)
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Internal Consistency Reliability
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Different items that measure the same variable should produce similar answers
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Split-Half Reliability
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comparison of individual's total score on one half of the test with the total score on the other half
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Cronbach's Alpha
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individual items and their correlation with every other item
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Interrater Reliability
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the extent to which raters aggree in their observations
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Ethics
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o do no harm
o minimize coercion o confidentiality o informed consent |
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Qualitative Research
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o the inquirer investigates the meanings of individual experiences with an intent of developing a theory or describing a pattern
o qualitative researchers study things in their natural settings o generally a smaller number of people o open-ended questions |
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Quantitative Research
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conclusions based on statistical analysis of the data
- investigator uses cause-effect thinking, reduces questions to specific variables and hypotheses -uses quantitative measurement and observation to test hypotheses |
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Quantitative vs. Qualitative
PURPOSE RESEARCH PROCESS DATA GATHERING DATA ANALYSIS FINDINGS |
PURPOSE
seeks explanations and predictions to develop generalizations (vs.) seeks a better understanding of complex situations RESEARCH PROCESS known variables established guidelines, predetermined methods, objective (vs.) unknown variables, flexible guidelines, emergent methods, subjective DATA GATHERING numeric data, representative large sample, standardized instruments (vs.) textual/image data, small sample, loosely structured observations and interviews DATA ANALYSIS statistical analysis, objectivity, deductive reasoning (vs.) search for themes and categories FINDINGS numbers, statistics, aggregated data, scientific style (vs.) words, narratives, quotes and literary style |
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Quantitative vs. Qualitative
PURPOSE RESEARCH PROCESS DATA GATHERING DATA ANALYSIS FINDINGS |
PURPOSE
seeks explanations and predictions to develop generalizations (vs.) seeks a better understanding of complex situations RESEARCH PROCESS known variables established guidelines, predetermined methods, objective (vs.) unknown variables, flexible guidelines, emergent methods, subjective DATA GATHERING numeric data, representative large sample, standardized instruments (vs.) textual/image data, small sample, loosely structured observations and interviews DATA ANALYSIS statistical analysis, objectivity, deductive reasoning (vs.) search for themes and categories FINDINGS numbers, statistics, aggregated data, scientific style (vs.) words, narratives, quotes and literary style |
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Negative Case Analysis
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If some observations are not consistent the researcher revises the hypothesis and examines all the data to make sure that they are consistent with the new hypothesis
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Systematic Observation
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the careful observation of one or more specific behaviors in a particular setting
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Coding System
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a system of assigning terms to behaviors being studided, and their necessary criteria
a set of rules used to categorize observations |
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Sampling
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Taking a smaller portion of something to get a generalization for the whole
the sample must be representative |
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Psychobiography
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type of case study in whic a resercher applies a psychological theory to explain the life of an important historical figure.
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Content Analysis (of documents)
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systematic analysis of existing documents, requires a coding system, quantifies information in the document.
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Elements of Experiments
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Experimental Units - subjects
Treatment - exp. condition applied to units Factors - explanatory multi-leveled variables |
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Factorial Design
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Designs with more than one independent variable (or factor)
Treatments consist of all combinations of the different factors Simplest Factorial Design has two independent variables 2 x 2 factorial design A design in which all levels of each IV are combined with all levels of other IVs. A factorial design allows investigation of the separate main effects and interactions of two or more independent variables |
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Anatomy of a Research Article
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abstract - summary
introduction - past research/theories (review of literature) methodology - definitions/participants results - narrative of what happened and statistics discussion - analysis/confirmation |
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Belmont Report
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Beneficence (maximize benefits, minimize costs)
Autonomy (respect for persons) Justice (fairness in receiving benefits of research as well as bearing the burdens of accepting the risks) |
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Belmont Report
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Beneficence (maximize benefits, minimize costs)
Autonomy (respect for persons) Justice (fairness in receiving benefits of research as well as bearing the burdens of accepting the risks) |
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Informed Consent (autonomy)
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potential subjects (participants) must be granted all information that would influence their decision to participate -- purposes, risks/benefits, rights to refuse, etc.
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Debriefing
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explain deception and why
provide access to resources explain purpose |
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Role-Playing
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experimenter describes a situation and asks them how they would respond
NOT generally considered to be a good alternative to deception. things might be different in a real situation. |
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Simulation Studies
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Stanford prison experiment
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Institutional Review Board
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responsible for the review of research conducted within its particular institution
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Fraud
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fabrication of data
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Plagiarism
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misrepresenting someone's work as your own
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Exempt Research
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research in which there is no risk is exempt from review
{anonymous questionaires, surveys, educational tests, naturalistic observation w/o threat to anonymity, public archival research} |
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Minimal Risk Research
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Needs approval by IRB
{physiological data gathering (EEG, etc.) moderate excercize, research on individual or group behavior/characteristics, w/o manipulation of behavior, and no stress} Fully informed consent generally not required |
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Greater Than Minimal Risk
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Full IRB review required and special ethical procedures may be imposed
{physical/psychological stress, invasion of privacy, measures of non-anonymous sensitive information} |
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IACUC
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Institutional Animal Care and Use Committees
institutions in which animal research is carried out must have IACUC composed of 1 scientist, 1 veterinarian, and 1 community member. |
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variable
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any event, situation, behavior, or individual characteristic that changes
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Positive Linear Relationship
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as the IV increases so does the DV
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Negative Linear Relationship
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As the IV increase the DV decreases
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Curvilinear Relationship
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increases in the values of the IV are accompanied by either increases or decreases of the DV
the type of graph = nonmonotonic function (looks like an inverted-'U') |
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No Correlation
(or No Relationship) |
the graph is usually something like a flat line.
correlation coefficient = 0 ± a little |
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Correlation Coefficient
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numerical index of strength of the relationship
(strong negative correlation) -1 <---> 0 <---> +1 (strong positive correlation) 0 = no correlation |
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Reduction of Uncertainty
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uncertainty implies that there is randomness in events
random variability or error variance is the amount of uncertainty that occurs in the world |
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Confounding Variable
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uncontrolled third variable is operating, we call the third variable a confounding variable
if 2 variables are confounded they are entangled so you cannot determine which of the variables is operating in a given situation. |
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Randomization
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controlling for the effects of extraneous variables by ensuring that the variables operate in a manner determined entirely by chance
This is mostly random assignment of participants (subjects/experimental units) |
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Extraneous Variable
aka Third Variable |
when describing a relationship between two variables, a third variable is any other variable that is extraneous to the two of interest.
must control for this |
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Conclusion Validity
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the extent to which the conclusions about the relationships among variables reached on the basis of the data are correct or what terms "reasonable"
sometimes called statistical conclusion validity need to draw 'reasonable' conclusions about our data: in quantitative, statistical data and qualitative data |
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DATA GATHERING
(Quantitative vs. Qualitative) |
numeric data, representative large sample, standardized instruments
(vs.) textual/image data, small sample, loosely structured observations and interviews |
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DATA ANALYSIS
(Quantitative vs. Qualitative) |
statistical analysis, objectivity, deductive reasoning
(vs.) search for themes and categories |
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FINDINGS
(Quantitative vs. Qualitative) |
numbers, statistics, aggregated data, scientific style
(vs.) words, narratives, quotes and literary style |
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RESEARCH PROCESS
(Quantitative vs. Qualitative) |
known variables established guidelines, predetermined methods, objective
(vs.) unknown variables, flexible guidelines, emergent methods, subjective |
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PURPOSE
(Quantitative vs. Qualitative) |
seeks explanations and predictions to develop generalizations (vs.) seeks a better understanding of complex situations
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