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37 Cards in this Set

  • Front
  • Back
Rules of Scientific Vigor
scientific rigor involves operating by a set of standards/rules/values

Empiricism: knowledge based on evidence
Publicism: published in a scholarly journal; replicable
Skepticism: your findings must be peer-reviewed & subject to scrutiny
Tentativeness: knowledge can change with new evidence
Theory
series of statements that propose relationships among phenomena
Research
formal process by which knowledge is produced & understood
Primary Research
generates new information
Secondary Research
examines existing information
EX: meta-analysis: quantitative review of studies
Predictors
Used to predict/forecast criterion variable.

Seen as independent variables
Criterion
Primary object of a research study

Seen as dependent variables
Level of Analysis
Refers to the type of subject (e.g., individual, team, departments, organizations)
Aggregation
Averaging or summing of data from a lower level (e.g., individual) to a higher level (e.g., team, department, etc.)
Internal Validity
the degree to which a variable is related to another variable that is accurate and true

The degree of control affects the internal validity.

High internal validity means that the variables are strongly related, and the effects seen are not due to another variable that was not controlled for.
External Validity
the degree to which the results can be generalized to other groups of people
Ecological Validity
degree of similarity between the research setting and a natural setting/situation
Correlational Study
use of surveys or observation to garner data without manipulating variables
Ethnography
uses field observation to study and describe a group’s culture.
Experimental Design Study
involves manipulating an IV while holding all other variables constant; with no differences in the characteristics between the samples

Laboratory
Quasi-experiment (no random assignment)
Field experiment
Single-case Study
use of a single subject (e.g., case study, etc.)
Longitudinal Study
study with multiple assessments over time
Cross-sectional Study
study with single assessment across parameters of interest
Four Types of Research
(1) Basic: concerned with gaining knowledge
(2) Applied: focused on finding a solution to a societal problem (Tied to generalizability)
(3) Evaluation: focused on assessing the success of an intervention/program
(4) Action: model of research that targets theory, application, & evaluation
median
middle number
mode
the most frequently occurring number
mean
average
Types of Distribution
(1) Normal (mean, median, and mode are same number)
(2) Positively skewed: less values on positive side (Mean > Median > Mode)
(3) Negatively skewed: less values on the negative side (Mode > Median > Mean)
Range
highest value - lowest value
Variance
S^2
Standard Deviation
S = square root of (the sum of (value - average)^2/n-1)
Correlation Coefficient
(r) = represents the strength of a relationship between two variables (-1 to +1)

closer to ±1, the relationship is stronger
0 = absence of a relationship
Three Basic Foundations of Causality
(1) Covariation of proposed cause and effect

(2) Time-order precedence

(3) Absence of alternative explanations
Covariance
measure of how much two variables change together
Moderator
variable that influences the direction and/or strength of a relationship between two other variables
Mediator
variable that serves as the underlying mechanism through which one variable affects another
Type I Error
falsely rejecting the null hypothesis
Type II Error
falsely accepting the null hypothesis
Alpha (α)
represents the probability of committing a TI error
Beta (β)
represents the probability of committing a TII error
Power
1 – β; probability of correctly rejecting the null
Ethical Considerations in I/O
Informed consent
Privacy
Confidentiality
Protection from Deception
Debriefing