By Duncan Cramer, Dennis Howitt
`The authors make very good use of illustrative examples' - Reference Reviews
The SAGE Dictionary of Statistics presents scholars and researchers with an obtainable and definitive source to take advantage of whilst learning information within the social sciences, studying study studies and venture information research. Written by way of best lecturers within the box of technique and facts, the Dictionary may be a necessary examine consultant for the first-time researcher in addition to a major source for extra complex examine.
This is a realistic and concise dictionary that serves the typical makes use of of facts around the entire diversity of social technological know-how disciplines. It bargains uncomplicated and easy definitions of key techniques, through extra specified step by step reasons of situating particular equipment and strategies. It additionally comprises lists of comparable ideas to aid the consumer to attract connections throughout a number of fields and elevate their total comprehend of a selected strategy. an inventory of key readings is helping to enhance the purpose of the Dictionary as a useful studying source.
Designed in particular for college students and people new to investigate, and written in a full of life and fascinating demeanour, this Dictionary is an important reference paintings for college kids and researchers around the social sciences.
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`The authors make first-class use of illustrative examples' - Reference stories
The SAGE Dictionary of records presents scholars and researchers with an available and definitive source to exploit whilst learning data within the social sciences, interpreting study experiences and project information research. Written by means of best teachers within the box of technique and statistics, the Dictionary could be an important examine advisor for the first-time researcher in addition to a chief source for extra complex examine.
This is a pragmatic and concise dictionary that serves the standard makes use of of facts around the entire variety of social technological know-how disciplines. It bargains uncomplicated and simple definitions of key recommendations, via extra unique step by step causes of situating particular equipment and strategies. It additionally comprises lists of comparable innovations to assist the consumer to attract connections throughout a variety of fields and raise their total comprehend of a particular approach. an inventory of key readings is helping to augment the purpose of the Dictionary as a useful studying source.
Designed in particular for college kids and people new to investigate, and written in a full of life and fascinating demeanour, this Dictionary is an important reference paintings for college kids and researchers around the social sciences.
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Additional info for The SAGE Dictionary of Statistics: A Practical Resource for Students in the Social Sciences
With larger sample sizes, statistical techniques based on the normal distribution will fit the theoretical assumptions of the technique increasingly well. Even if the population is not normally distributed, the tendency of the sampling distribution of means towards normality means that parametric statistics may be appropriate despite limitations in the data. With means of small-sized samples, the distribution of the sample means tends to be flatter than that of the normal distribution so we typically employ the t distribution rather than the normal distribution.
The difficulty is that they do not receive the attention they would if they were, say, brought to the laboratory and closely studied. Similarly, if the study was of the effects of violent videos, what should be the control condition? No video? A video about rock climbing? Or what? Each of the listed alternatives has different implications.
Tables of the t distribution tell us the number of standard errors required to cover the middle 95% or middle 99% of sample means. 8 gives the 95% and the 99% values of the t distribution for various degrees of freedom. Broadly speaking, the confidence interval is the opposite of the critical value in significance testing. In significance testing, we identify whether the sample is sufficiently different from the population in order to place it in the extreme 5% of sample means. In confidence intervals, we estimate the middle 95% of sample means which are not significantly different from the population mean.
The SAGE Dictionary of Statistics: A Practical Resource for Students in the Social Sciences by Duncan Cramer, Dennis Howitt