JKSET study materials
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JKSET key terms

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Validity

The degree to which a test or instrument measures what it claims to measure, covering content, construct, and criterion evidence rather than mere consistency of scores.

Related: Reliability, Construct Validity, Operational Definition
Reliability

The consistency and stability of measurements across repeated administrations, parallel forms, or raters; a necessary but not sufficient condition for validity of research instruments.

Related: Validity, Cronbach's Alpha, Inter-rater Reliability
Construct Validity

Evidence that a test reflects the theoretical trait it is meant to capture, shown through convergent and discriminant patterns with related and unrelated measures.

Related: Validity, Operational Definition
Operational Definition

A precise statement of how a variable is measured or manipulated in a study, converting abstract concepts into observable procedures that others could replicate.

Related: Construct Validity, Variable
Cronbach's Alpha

An internal-consistency coefficient estimating how well items on a scale measure a single underlying dimension; values near one indicate high inter-item correlation.

Related: Reliability, Likert Scale
Inter-rater Reliability

The extent to which two or more independent observers or judges assign consistent scores or classifications to the same behaviour or material.

Related: Reliability, Content Analysis
Null Hypothesis

A statement that no effect, difference, or relationship exists in the population; statistical tests assess how compatible observed data are with it.

Related: p-value, Type I Error, Alternative Hypothesis
Alternative Hypothesis

The research prediction that an effect, difference, or association exists, against which the null hypothesis is tested in inferential statistics.

Related: Null Hypothesis, Statistical Power
p-value

The probability of obtaining data at least as extreme as those observed, assuming the null hypothesis is true; it is not the probability that the null is true.

Related: Null Hypothesis, Type I Error, Level of Significance
Level of Significance

The pre-set threshold, usually 0.05 or 0.01, below which a p-value leads the researcher to reject the null hypothesis.

Related: p-value, Type I Error
Type I Error

Rejecting a true null hypothesis, that is, reporting an effect that does not exist; its probability is controlled by the chosen significance level.

Related: Type II Error, Level of Significance, Statistical Power
Type II Error

Failing to reject a false null hypothesis, thereby missing a real effect; its probability is inversely related to statistical power.

Related: Type I Error, Statistical Power
Statistical Power

The probability that a test will correctly detect a true effect of a given size, influenced by sample size, effect size, and significance criterion.

Related: Type II Error, Effect Size, Sampling
Effect Size

A standardized index of the magnitude of a difference or association, independent of sample size, allowing comparison across studies.

Related: Statistical Power, Meta-analysis
Sampling

The process of selecting a subset of a population for study, with the method chosen determining how far findings can be generalized.

Related: Random Sampling, Sampling Bias, Population
Random Sampling

Selection in which every member of a defined population has an equal and independent chance of inclusion, supporting external validity and unbiased estimation.

Related: Sampling, Sampling Bias, External Validity
Sampling Bias

Systematic distortion arising when some population members are more likely than others to be selected, so the sample misrepresents the target population.

Related: Random Sampling, Sampling
Internal Validity

The extent to which observed changes in a dependent variable can be attributed to the manipulated independent variable rather than confounds.

Related: External Validity, Confounding Variable, Random Assignment
External Validity

The degree to which findings can be generalized to other populations, settings, times, and operationalizations beyond those actually studied.

Related: Internal Validity, Random Sampling
Confounding Variable

An extraneous factor that varies systematically with the independent variable and can therefore produce a spurious apparent effect on the dependent variable.

Related: Internal Validity, Random Assignment
Random Assignment

Allocating participants to experimental conditions by chance so groups are probabilistically equivalent, a key safeguard against selection confounds.

Related: Internal Validity, Confounding Variable
Independent Variable

The variable the researcher manipulates or treats as the presumed cause in an experiment, whose levels define the comparison conditions.

Related: Dependent Variable, Random Assignment
Dependent Variable

The outcome measure recorded by the researcher, expected to vary as a function of the independent variable and treated as the presumed effect.

Related: Independent Variable, Operational Definition
Likert Scale

A summated rating format in which respondents indicate agreement with statements along an ordered range, often from strongly disagree to strongly agree.

Related: Cronbach's Alpha, Questionnaire
Questionnaire

A structured written instrument of fixed items used to collect self-report data from respondents, administered in person, by post, or online.

Related: Likert Scale, Validity
Content Analysis

A systematic method for coding and quantifying the manifest or latent content of documents, media, or transcripts into categories.

Related: Inter-rater Reliability, Qualitative Research
Qualitative Research

Inquiry emphasizing meanings, experiences, and context, typically using interviews, observation, or documents and analysed thematically rather than statistically.

Related: Content Analysis, Triangulation
Triangulation

Using multiple methods, data sources, investigators, or theories to cross-check findings and strengthen confidence in interpretations.

Related: Qualitative Research, Validity
Meta-analysis

A quantitative synthesis that pools effect sizes from multiple studies on a question to estimate an overall effect and examine moderators.

Related: Effect Size, Literature Review
Literature Review

A critical, organized survey of prior scholarship that situates a research problem, identifies gaps, and justifies the study's questions and design.

Related: Meta-analysis, Plagiarism
Plagiarism

Presenting another person's words, ideas, data, or images as one's own without adequate attribution, a serious breach of research and academic integrity.

Related: Literature Review, Academic Integrity
Academic Integrity

Commitment to honesty, fairness, and responsibility in scholarship, including accurate attribution, truthful reporting of data, and avoidance of fabrication or falsification.

Related: Plagiarism, Research Ethics
Research Ethics

Principles governing research conduct, including informed consent, confidentiality, minimizing harm, and voluntary participation, usually enforced by institutional review bodies.

Related: Informed Consent, Academic Integrity
Informed Consent

A participant's voluntary agreement to take part after receiving understandable information about the study's purpose, procedures, risks, and right to withdraw.

Related: Research Ethics, Confidentiality
Confidentiality

The researcher's obligation to protect participants' identities and data from unauthorized disclosure, often through anonymization or secure storage.

Related: Informed Consent, Research Ethics
Learning Outcomes

Explicit statements of what learners should know or be able to do by the end of a course or programme, typically expressed with observable action verbs.

Related: Bloom's Taxonomy, Formative Assessment
Bloom's Taxonomy

A hierarchical classification of cognitive learning objectives, revised to run from remembering and understanding through applying, analysing, evaluating, and creating.

Related: Learning Outcomes, Formative Assessment
Formative Assessment

Assessment conducted during instruction to give feedback and adjust teaching, as distinct from summative assessment that grades achievement at the end.

Related: Summative Assessment, Learning Outcomes
Summative Assessment

Evaluation of learning at the end of a unit or course, used to certify achievement or assign grades rather than to shape ongoing instruction.

Related: Formative Assessment, Criterion-referenced Assessment
Criterion-referenced Assessment

Judging performance against fixed standards or learning outcomes rather than against the relative performance of other students in a norm group.

Related: Norm-referenced Assessment, Learning Outcomes
Norm-referenced Assessment

Interpreting a score by comparing it with the distribution of scores in a reference group, so results indicate relative standing rather than mastery.

Related: Criterion-referenced Assessment, Reliability