Which of the following is necessary in order to establish informed consent of research subjects?

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Informed Consent

Protecting human participants in research is extremely important, and part of that process is informed consent. Informed consent is an ongoing communication process between research participants and the investigator to ensure participants' comfort. Informed consent allows potential research participants to volunteer their participation freely, without threat or undue coaching. The potential participant is also provided with information an individual would want to know before participating, so an educated decision can be made whether or not to participate. Generally, the purpose of informed consent is to protect each participant's welfare, ensure the participants are voluntary and informed, and promote positive feelings before and after completing a study.

This entry begins with a brief history and then describes the necessary components of informed consent and some additional considerations. ...

  • Descriptive Statistics

    • Central Tendency, Measures of
    • Cohen's d Statistic
    • Cohen's f Statistic
    • Correspondence Analysis
    • Descriptive Statistics
    • Effect Size, Measures of
    • Eta-Squared
    • Factor Loadings
    • Krippendorff's Alpha
    • Mean
    • Median
    • Mode
    • Partial Eta-Squared
    • Range
    • Standard Deviation
    • Statistic
    • Trimmed Mean
    • Variability, Measure of
    • Variance

  • Distributions

    • z Distribution
    • Bernoulli Distribution
    • Copula Functions
    • Cumulative Frequency Distribution
    • Distribution
    • Frequency Distribution
    • Kurtosis
    • Law of Large Numbers
    • Normal Distribution
    • Normalizing Data
    • Poisson Distribution
    • Quetelet's Index
    • Sampling Distributions
    • Weibull Distribution
    • Winsorize

  • Graphical Displays of Data

    • Bar Chart
    • Box-and-Whisker Plot
    • Column Graph
    • Frequency Table
    • Graphical Display of Data
    • Growth Curve
    • Histogram
    • L'Abbé Plot
    • Line Graph
    • Nomograms
    • Ogive
    • Pie Chart
    • Radial Plot
    • Residual Plot
    • Scatterplot
    • U-Shaped Curve

  • Hypothesis Testing

    • p Value
    • Alternative Hypotheses
    • Beta
    • Critical Value
    • Decision Rule
    • Hypothesis
    • Nondirectional Hypotheses
    • Nonsignificance
    • Null Hypothesis
    • One-Tailed Test
    • Power
    • Power Analysis
    • Significance Level, Concept of
    • Significance Level, Interpretation and Construction
    • Significance, Statistical
    • Two-Tailed Test
    • Type I Error
    • Type II Error
    • Type III Error

  • Important Publications

    • “Coefficient Alpha and the Internal Structure of Tests”
    • “Convergent and Discriminant Validation by the Multitrait–Multimethod Matrix”
    • “Meta-Analysis of Psychotherapy Outcome Studies”
    • “On the Theory of Scales of Measurement”
    • “Probable Error of a Mean, The”
    • “Psychometric Experiments”
    • “Sequential Tests of Statistical Hypotheses”
    • “Technique for the Measurement of Attitudes, A”
    • “Validity”
    • Aptitudes and Instructional Methods
    • Doctrine of Chances, The
    • Logic of Scientific Discovery, The
    • Nonparametric Statistics for the Behavioral Sciences
    • Probabilistic Models for Some Intelligence and Attainment Tests
    • Statistical Power Analysis for the Behavioral Sciences
    • Teoria Statistica Delle Classi e Calcolo Delle Probabilità

  • Inferential Statistics

    • Q-Statistic
    • R2
    • Association, Measures of
    • Coefficient of Concordance
    • Coefficient of Variation
    • Coefficients of Correlation, Alienation, and Determination
    • Confidence Intervals
    • Margin of Error
    • Nonparametric Statistics
    • Odds Ratio
    • Parameters
    • Parametric Statistics
    • Partial Correlation
    • Pearson Product-Moment Correlation Coefficient
    • Polychoric Correlation Coefficient
    • Randomization Tests
    • Regression Coefficient
    • Semipartial Correlation Coefficient
    • Spearman Rank Order Correlation
    • Standard Error of Estimate
    • Standard Error of the Mean
    • Student's t Test
    • Unbiased Estimator
    • Weights

  • Item Response Theory

    • b Parameter
    • Computerized Adaptive Testing
    • Differential Item Functioning
    • Guessing Parameter

  • Mathematical Concepts

    • Congruence
    • General Linear Model
    • Matrix Algebra
    • Polynomials
    • Sensitivity Analysis
    • Weights
    • Yates's Notation

  • Measurement Concepts

    • z Score
    • Ceiling Effect
    • Change Scores
    • False Positive
    • Gain Scores, Analysis of
    • Instrumentation
    • Item Analysis
    • Item-Test Correlation
    • Observations
    • Percentile Rank
    • Psychometrics
    • Random Error
    • Raw Scores
    • Response Bias
    • Rubrics
    • Sensitivity
    • Social Desirability
    • Specificity
    • Standardized Score
    • Survey
    • Test
    • True Positive

  • Organizations

    • American Educational Research Association
    • American Statistical Association
    • National Council on Measurement in Education

  • Publishing

    • Abstract
    • American Psychological Association Style
    • Discussion Section
    • Dissertation
    • Literature Review
    • Methods Section
    • Proposal
    • Purpose Statement
    • Results Section

  • Qualitative Research

    • Case Study
    • Content Analysis
    • Discourse Analysis
    • Ethnography
    • Focus Group
    • Interviewing
    • Narrative Research
    • Naturalistic Inquiry
    • Naturalistic Observation
    • Qualitative Research
    • Think-Aloud Methods

  • Reliability of Scores

    • Coefficient Alpha
    • Correction for Attenuation
    • Internal Consistency Reliability
    • Interrater Reliability
    • KR-20
    • Parallel Forms Reliability
    • Reliability
    • Spearman–Brown Prophecy Formula
    • Split-Half Reliability
    • Standard Error of Measurement
    • Test–Retest Reliability
    • True Score

  • Research Design Concepts

    • Aptitude-Treatment Interaction
    • Cause and Effect
    • Concomitant Variable
    • Confounding
    • Control Group
    • Interaction
    • Internet-Based Research Method
    • Intervention
    • Matching
    • Natural Experiments
    • Network Analysis
    • Placebo
    • Replication
    • Research
    • Research Design Principles
    • Treatment(s)
    • Triangulation
    • Unit of Analysis
    • Yoked Control Procedure

  • Research Designs

    • A Priori Monte Carlo Simulation
    • Action Research
    • Adaptive Designs in Clinical Trials
    • Applied Research
    • Behavior Analysis Design
    • Block Design
    • Case-Only Design
    • Causal-Comparative Design
    • Cohort Design
    • Completely Randomized Design
    • Crossover Design
    • Cross-Sectional Design
    • Double-Blind Procedure
    • Ex Post Facto Study
    • Experimental Design
    • Factorial Design
    • Field Study
    • Group-Sequential Designs in Clinical Trials
    • Laboratory Experiments
    • Latin Square Design
    • Longitudinal Design
    • Meta-Analysis
    • Mixed Methods Design
    • Mixed Model Design
    • Monte Carlo Simulation
    • Nested Factor Design
    • Nonexperimental Design
    • Observational Research
    • Panel Design
    • Partially Randomized Preference Trial Design
    • Pilot Study
    • Pragmatic Study
    • Pre-Experimental Designs
    • Pretest–Posttest Design
    • Prospective Study
    • Quantitative Research
    • Quasi-Experimental Design
    • Randomized Block Design
    • Repeated Measures Design
    • Response Surface Design
    • Retrospective Study
    • Sequential Design
    • Single-Blind Study
    • Single-Subject Design
    • Split-Plot Factorial Design
    • Thought Experiments
    • Time Studies
    • Time-Lag Study
    • Time-Series Study
    • Triple-Blind Study
    • True Experimental Design
    • Wennberg Design
    • Within-Subjects Design
    • Zelen's Randomized Consent Design

  • Research Ethics

    • Animal Research
    • Assent
    • Debriefing
    • Declaration of Helsinki
    • Ethics in the Research Process
    • Informed Consent
    • Nuremberg Code
    • Participants
    • Recruitment

  • Research Process

    • Clinical Significance
    • Clinical Trial
    • Cross-Validation
    • Data Cleaning
    • Delphi Technique
    • Evidence-Based Decision Making
    • Exploratory Data Analysis
    • Follow-Up
    • Inference: Deductive and Inductive
    • Last Observation Carried Forward
    • Planning Research
    • Primary Data Source
    • Protocol
    • Q Methodology
    • Research Hypothesis
    • Research Question
    • Scientific Method
    • Secondary Data Source
    • Standardization
    • Statistical Control
    • Type III Error
    • Wave

  • Research Validity Issues

    • Bias
    • Critical Thinking
    • Ecological Validity
    • Experimenter Expectancy Effect
    • External Validity
    • File Drawer Problem
    • Hawthorne Effect
    • Heisenberg Effect
    • Internal Validity
    • John Henry Effect
    • Mortality
    • Multiple Treatment Interference
    • Multivalued Treatment Effects
    • Nonclassical Experimenter Effects
    • Order Effects
    • Placebo Effect
    • Pretest Sensitization
    • Random Assignment
    • Reactive Arrangements
    • Regression to the Mean
    • Selection
    • Sequence Effects
    • Threats to Validity
    • Validity of Research Conclusions
    • Volunteer Bias
    • White Noise

  • Sampling

    • Cluster Sampling
    • Convenience Sampling
    • Demographics
    • Error
    • Exclusion Criteria
    • Experience Sampling Method
    • Nonprobability Sampling
    • Population
    • Probability Sampling
    • Proportional Sampling
    • Quota Sampling
    • Random Sampling
    • Random Selection
    • Sample
    • Sample Size
    • Sample Size Planning
    • Sampling
    • Sampling and Retention of Underrepresented Groups
    • Sampling Error
    • Stratified Sampling
    • Systematic Sampling

  • Scaling

    • Categorical Variable
    • Guttman Scaling
    • Interval Scale
    • Levels of Measurement
    • Likert Scaling
    • Nominal Scale
    • Ordinal Scale
    • Rating
    • Ratio Scale
    • Thurstone Scaling

  • Software Applications

    • Databases
    • LISREL
    • MBESS
    • NVivo
    • R
    • SAS
    • Software, Free
    • SPSS
    • Statistica
    • SYSTAT
    • WinPepi

  • Statistical Assumptions

    • Homogeneity of Variance
    • Homoscedasticity
    • Multivariate Normal Distribution
    • Normality Assumption
    • Sphericity

  • Statistical Concepts

    • Autocorrelation
    • Biased Estimator
    • Cohen's Kappa
    • Collinearity
    • Correlation
    • Criterion Problem
    • Critical Difference
    • Data Mining
    • Data Snooping
    • Degrees of Freedom
    • Directional Hypothesis
    • Disturbance Terms
    • Error Rates
    • Expected Value
    • Fixed-Effects Model
    • Inclusion Criteria
    • Influence Statistics
    • Influential Data Points
    • Intraclass Correlation
    • Latent Variable
    • Likelihood Ratio Statistic
    • Loglinear Models
    • Main Effects
    • Markov Chains
    • Method Variance
    • Mixed- and Random-Effects Models
    • Models
    • Multilevel Modeling
    • Odds
    • Omega Squared
    • Orthogonal Comparisons
    • Outlier
    • Overfitting
    • Pooled Variance
    • Precision
    • Quality Effects Model
    • Random-Effects Models
    • Regression Artifacts
    • Regression Discontinuity
    • Residuals
    • Restriction of Range
    • Robust
    • Root Mean Square Error
    • Rosenthal Effect
    • Serial Correlation
    • Shrinkage
    • Simple Main Effects
    • Simpson's Paradox
    • Sums of Squares

  • Statistical Procedures

    • Accuracy in Parameter Estimation
    • Analysis of Covariance (ANCOVA)
    • Analysis of Variance (ANOVA)
    • Barycentric Discriminant Analysis
    • Bivariate Regression
    • Bonferroni Procedure
    • Bootstrapping
    • Canonical Correlation Analysis
    • Categorical Data Analysis
    • Confirmatory Factor Analysis
    • Contrast Analysis
    • Descriptive Discriminant Analysis
    • Discriminant Analysis
    • Dummy Coding
    • Effect Coding
    • Estimation
    • Exploratory Factor Analysis
    • Greenhouse–Geisser Correction
    • Hierarchical Linear Modeling
    • Holm's Sequential Bonferroni Procedure
    • Jackknife
    • Latent Growth Modeling
    • Least Squares, Methods of
    • Logistic Regression
    • Mean Comparisons
    • Missing Data, Imputation of
    • Multiple Regression
    • Multivariate Analysis of Variance (MANOVA)
    • Pairwise Comparisons
    • Path Analysis
    • Post Hoc Analysis
    • Post Hoc Comparisons
    • Principal Components Analysis
    • Propensity Score Analysis
    • Sequential Analysis
    • Stepwise Regression
    • Structural Equation Modeling
    • Survival Analysis
    • Trend Analysis
    • Yates's Correction

  • Statistical Tests

    • F Test
    • t Test, Independent Samples
    • t Test, One Sample
    • t Test, Paired Samples
    • z Test
    • Bartlett's Test
    • Behrens–Fisher t′ Statistic
    • Chi-Square Test
    • Duncan's Multiple Range Test
    • Dunnett's Test
    • Fisher's Least Significant Difference Test
    • Friedman Test
    • Honestly Significant Difference (HSD) Test
    • Kolmogorov-Smirnov Test
    • Kruskal–Wallis Test
    • Mann–Whitney U Test
    • Mauchly Test
    • McNemar's Test
    • Multiple Comparison Tests
    • Newman–Keuls Test and Tukey Test
    • Omnibus Tests
    • Scheffé Test
    • Sign Test
    • Tukey's Honestly Significant Difference (HSD)
    • Welch's t Test
    • Wilcoxon Rank Sum Test

  • Theories, Laws, and Principles

    • Bayes's Theorem
    • Central Limit Theorem
    • Classical Test Theory
    • Correspondence Principle
    • Critical Theory
    • Falsifiability
    • Game Theory
    • Gauss–Markov Theorem
    • Generalizability Theory
    • Grounded Theory
    • Item Response Theory
    • Occam's Razor
    • Paradigm
    • Positivism
    • Probability, Laws of
    • Theory
    • Theory of Attitude Measurement
    • Weber–Fechner Law

  • Types of Variables

    • Control Variables
    • Covariate
    • Criterion Variable
    • Dependent Variable
    • Dichotomous Variable
    • Endogenous Variables
    • Exogenous Variables
    • Independent Variable
    • Nuisance Variable
    • Predictor Variable
    • Random Variable
    • Significance Level, Concept of
    • Significance Level, Interpretation and Construction
    • Variable

  • Validity of Scores

    • Concurrent Validity
    • Construct Validity
    • Content Validity
    • Criterion Validity
    • Face Validity
    • Multitrait–Multimethod Matrix
    • Predictive Validity
    • Systematic Error
    • Validity of Measurement

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How does a researcher obtain informed consent from a child quizlet?

This information is usually given in the briefing. Researchers should only obtain fully informed consent from their participants before the study begins. When children are too young to consent parental consent needs to be obtained by briefing the child's parents about the aim and procedures of the study.

What is the order of steps the typical researcher will take in the research process?

What is the order of steps the typical researcher will take in the research process? Conceptualization, operationalization, sampling and observations.

Does confidentiality and anonymity mean the same thing?

Anonymity means you don't know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations.

What was the primary reason for the establishment of institutional review boards?

Institutional Review Board (IRB) The primary purpose of the IRB is to protect the rights and welfare of human subjects involved in research activities being conducted under its authority.

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