Describe, briefly, the population or type of data you plan to sample for your Dissertation, and why. Describe the data collection and sampling methods you plan to use and explain why you plan to use them. Describe at least two issues (e.g., reliability, validity, and/or ethical issues) that might arise when using the data collection and Reliability and Validity. Issues of research reliability and validity need to be addressed in methodology chapter in a concise manner. Reliability refers to the extent to which the same answers can be obtained using the same instruments more than one time. In simple terms, if your research is associated with high levels of reliability, then other researchers need to be able to generate the same Jul 03, · Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure. It’s important to consider reliability and validity when you are creating your research design, planning your methods, and writing up your
Reliability vs Validity in Research | Differences, Types and Examples
Reliability, like validityis a way of assessing the quality of the measurement procedure used to collect data in a dissertation.
In order for the results from a study to be considered validthe measurement procedure must first be reliable. In this article, we: a explain what reliability is, providing examples; b highlight some of the more common threats to reliability in research; c briefly discuss each of the main types of reliability you may use in your dissertation, and the situations where they are appropriate; and d point to the various articles on the Lærd Dissertation website where we discuss each of these types of reliability in more detail, including articles explaining how to run these reliability tests in the statistics dissertation reliability and validity, SPSS, as well as interpret and write up the results of such tests.
When we examine a construct in a study, we choose one of a number of possible ways to measure that construct [see the section on Constructs in quantitative researchif you are unsure what constructs are, or the difference between constructs and variables]. For example, we may choose to use questionnaire items, dissertation reliability and validity, interview questions, and so forth.
These dissertation reliability and validity items or interview questions are part of the measurement procedure. This measurement procedure should provide an accurate representation of the construct it is measuring if it is to be considered valid. For example, if we want to measure the construct, intelligencedissertation reliability and validity, we need to have a measurement procedure that accurately dissertation reliability and validity a person's intelligence, dissertation reliability and validity.
Since there are many ways of thinking about intelligence e. In quantitative research, the measurement procedure consists of variables ; whether a single variable or a number of variables that may make up a construct [see the section on Constructs in quantitative research ].
When we think about the reliability of these variables, we want to know how stable or constant they are. This assumption, that the variable you are measuring is stable or constant, is central to the concept of reliability, dissertation reliability and validity. In principal, a measurement procedure that is stable or constant should produce the same or nearly the same results if the same individuals and conditions are used.
So what do we mean when we say that a measurement procedure is constant or stable? Some variables are more stable constant than others; that is, some change significantly, whilst others are dissertation reliability and validity constant. Therefore, the score measured e. The true score is dissertation reliability and validity actual score that would reliably reflect the measurement e.
The error reflects conditions that result in the score that we are measuring not reflecting the true scorebut a variation on the actual score e. This error component within a measurement procedure will vary from one measurement to the next, increasing and decreasing the score for the variable.
It is assumed that this happens randomly, with the error averaging zero over time; that is, the increases or decreases in error over a number of measurements even themselves out so that we end up with the true score e. Provided that the error component within a measurement procedure is relatively smallthe scores that are attained over a number of measurements will be relatively consistent ; that is, there will be small differences in the scores between measurements.
As such, we can say that the measurement procedure is reliable. Take the following example:. EXAMPLE 1 Error component: Small Measurement of: Intelligence using IQ True score: Actual level of intelligence Error: Caused by factors including current mood, level of fatigue, general health, luck in guessing answers to questions you don't know Impact of error on scores: Would expect measurements of IQ to be a few points up and down of your actual IQ, not to points, for example i.
By comparison, where the error component within a measurement procedure is relatively largethe scores that are obtained over a number of measurements will be relatively inconsistent dissertation reliability and validity that is, there will be large differences in the scores between measurements.
As such, we can say that the measurement dissertation reliability and validity is not reliable. EXAMPLE 2 Error component: Large Measurement of: Reaction time by measuring the speed of pressing a button when a light bulb goes on i. Solution: Take multiple measurements rather than a single measurement, and then average the scores. NOTE: You can learn more about reliabilityerror and reaction times by reading YellottRatcliffand Salthouse and Hedden All measurement procedures involve error.
When the amount of error is lowthe reliability of the measurement is high. Conversely, when the amount of error is largedissertation reliability and validity, the reliability of the measurement is low. However, there are solutions to help improve measurement procedures that may dissertation reliability and validity prone to large error components. For example, multiple measurements can be taken instead of a single measurement, with the scores from the multiple measurements being averaged.
Reliability in research Reliability, like validityis a way of assessing the quality of the measurement procedure used to collect data in a dissertation. What is reliability? Take the following example: EXAMPLE 1 Error component: Small Measurement of: Intelligence using IQ True score: Actual level of intelligence Error: Caused by factors including current mood, level of fatigue, general health, luck in guessing answers to questions you don't know Impact of error on scores: Would expect measurements of IQ to be a few points up and down of your actual IQ, not to points, for example i.
Take the following example: EXAMPLE 2 Error component: Large Measurement of: Reaction time by measuring the speed of pressing a button when a light bulb goes on i. Caused by factors including current mood, level of fatigue, general health, dissertation reliability and validity, luck in guessing answers to questions you dissertation reliability and validity know.
Would expect measurements of IQ to be a few points up and down of your actual IQ, not to points, for example i.
small error component. Reaction time by measuring the speed of pressing a button when a light bulb goes on i. difference between light appearing and the time when the button was pressed. Potential for time to be significantly different from one measurement to the next e. Take multiple measurements rather than a single measurement, and then average the scores.
Validity \u0026 Reliability
, time: 3:41Methodology: reliability and validity factors | Nation Writers
Reliability and Validity. Issues of research reliability and validity need to be addressed in methodology chapter in a concise manner. Reliability refers to the extent to which the same answers can be obtained using the same instruments more than one time. In simple terms, if your research is associated with high levels of reliability, then other researchers need to be able to generate the same Where to write about Validity and Reliability. Researchers need to confer reliability and validity in different parts of their dissertation or thesis statements. They need to show that they accounted for them when planning their research. The same must also be done when interpreting the results of their research. It helps to make the research project more trustworthy and blogger.comn: What to Discuss Describe, briefly, the population or type of data you plan to sample for your Dissertation, and why. Describe the data collection and sampling methods you plan to use and explain why you plan to use them. Describe at least two issues (e.g., reliability, validity, and/or ethical issues) that might arise when using the data collection and
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