CHAPTER SUMMARY CHAPTER 4 VALIDITY RELIABILITY AND GENERALIZABILITY

CHAPTER 11 OECD AVERAGE AND OECD TOTAL BOX
CONTENTS PREFACE IX INTRODUCTION 1 REFERENCES 5 CHAPTER
NRC INSPECTION MANUAL NMSSDWM MANUAL CHAPTER 2401 NEAR‑SURFACE

32 STAKEHOLDER ANALYSIS IN THIS CHAPTER A STAKEHOLDER ANALYSIS
CHAPTER 13 MULTILEVEL ANALYSES BOX 132 STANDARDISATION OF
CHAPTER 6 COMPUTATION OF STANDARD ERRORS BOX 61

CHAPTER SUMMARY

Chapter 4: Validity, reliability and generalizability, Daniel Muijs (2004)

Three key concepts in quantitative Methods

Validity – refers to how well a test measures what it is purported to measure.

Content Validity(face validity)- refers to a theory of how the concept work and what it is

e.g. item of a test or questions of a questionnaire is right to measure the latent concept( self-esteem, achievement, attitudes,…)

Criterion validity- likewise the content validity and refer directly to theory for predict certain outcome.

Predictive validity- refers to whether or not the instruments using to theoretically predict the outcomes
Concurrent validity-makes a less stringent assumption.

Construct validity- refers to theoretical knowledge of the concept we want to measure.

Reliability is the degree to which an assessment tool produces stable and consistent results.

Repeated measurement - to measure the same thing at different times.

Test –retest method/ reliability is a measure of reliability obtained by administering the same test twice to a group of individuals. The scores from Time 1 and Time 2 can then be correlated in order to evaluate the test for stability over time.

Carry- over effect (overestimating) is an effect that "carries over" from one experimental condition to another.

Inter-rater reliability is a measure of reliability used to assess the degree to which different judges or raters agree in their assessment decisions.

Internal consistency- use more than one judge to look at a situation.

Split half reliability is another subtype of internal consistency reliability.
Coefficient alpha – refers to internal consistency reliability ( expect this measure to be over 0.7)

Generalizability

The null hypothesis (H 0) is a hypothesis which the researcher tries to disprove, reject or nullify and there is no statistical significance between the two variables

The alternative hypothesis (H1) refers what the researcher really thinks is the cause of a phenomenon and there is a statistically significant relationship between two variable

e.g Rising the temperature of a cup of coffee will increase the solubility of sugar.

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CONFIGURING USER STATE MANAGEMENT FEATURES 73 CHAPTER 7 IMPLEMENTING
INTERPOLATION 41 CHAPTER 5 INTERPOLATION THIS CHAPTER SUMMARIZES POLYNOMIAL
PREPARING FOR PRODUCTION DEPLOYMENT 219 CHAPTER 4 DESIGNING A

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