34、this section need not be described in detail, but has to be justified so that the results have a validity and credibility. the selection between qualitative and quantitative research has to be justified. if a survey of students in five high schools in an area is selected, the sample siz...
In addition, statistical thinking also allows one to avoid falling for some of the most common traps in analyzing data. For example, understanding how deviations work, and what they indicate about the validity of statistical results, is an important principle for anyone working with large amounts ...
Psychologiquesvalidated to the educational context (León et al.,2011). The subscale consisted in a total of five items preceded by the phrase In Maths class (e.g.I feel comfortable with my teacher). Previous works have provided evidence of reliability and validity of the scale (Moreno-...
An item selection procedure to maximise scale reliability and validity Wille (1996) proposed an item selection strategy which may be used to maximise, first, the internal consistency and, next, the convergent and discriminant ... J Raubenheimer - 《Sa Journal of Industrial Psychology》 被引量:...
Why is it important to address your research questions in the conclusion of your study? What are two problems that can affect the results of a criterion-related validity study? What factors affect the generalizability of findings from a particular test? What is the general purpose of all resea...
Values above 0 indicate that at least half the SMEs agree that the question is essential. The closer to +1, the higher the content validity.However, agreement could be due to coincidence. In order to rule that out, you can use the critical values table below. Depending on the number of...
Predictive vs. concurrent validity Predictive and concurrent validity are both subtypes ofcriterion validity. They both refer to validation strategies in which the predictive ability of a test is evaluated by comparing it against a certain criterion or “gold standard.” Here,the criterion is a well...
probability theory and statistics. Statisticians use standard errors toconstruct confidence intervalsfrom their surveyed data. Confidence intervals are important for determining the validity of empirical tests and research. The reliability of estimates can also be assessed in terms of a confidence interval....
The law of large numbers is important in statistical analysis because it gives validity to your sample size. The assumptions you make when working with a small amount of data may not appropriately translate to the actual population so it's important to make sure enough data points are being ca...
An important point to note is that we are testing the null hypothesis because there is an element of doubt about its validity. Whatever information that is against the stated null hypothesis is captured in the alternative (alternate) hypothesis (H1). For the examples below, the alternative hypot...