By Sheldon, Ph.D. Zedeck
Facts is the sector of data excited by information assortment, info research, and knowledge interpretation and presentation. method contains the numerous and sundry dependent ways that study is carried out -- answering the elemental query: How does the researcher successfully assemble details for specific purposes?
Both are middle themes underlying the self-discipline of psychology and the opposite social, actual, and scientific sciences. furthermore, a simple figuring out of the language of statistics and examine equipment is needed for any severe scholar, scientist, and practitioner in those fields.
The APA Dictionary of facts and study Methods is a centred reference source that explores the lexicon of those profoundly interrelated components. It provides
- Over 4,000 entries supplying transparent and authoritative definitions;
- Balanced insurance in such center parts as study making plans and layout, psychometrics, quantitative and qualitative measurements, and information research;
- Hundreds of incisive cross-references that deepen the user's knowing of comparable themes;
- More than a hundred illustrations of a few of the typical and unusual facts exhibit tools;
- A speedy advisor to take advantage of that explains stylistic and formal positive aspects at a look; and
- Appendixes directory universal abbreviations and statistical symbols
Read or Download APA Dictionary of Statistics and Research Methods PDF
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Extra resources for APA Dictionary of Statistics and Research Methods
See also POLYNOMIAL. those studied. , area of residence, b i n o m i a l confidence i n t e r v a l a parents' education levels, prior experi- CONFIDENCE INTERVAL for estimates of ence, age, sex, ethnicity) may ensure the proportion of a population that exthat all variance is fully accounted for, hibits a particular characteristic or outbut only in the limited set of individuals come, as determined from a sample of studied. Researchers therefore tend to that population. A BINOMIAL DISTRIBUseek a balance, opting for either greater TION is assumed.
They may potentially influence outcome measures. For example, a researcher Bayes estimator a rule for estimating evaluating the effect of a new stress- the value of a population characteristic reduction technique on health status that is based on both empirically obmay examine such baseline characteris- tained data and one's prior expectations regarding the parameter of interest. For tics as sex, age, and ethnicity. example, to estimate the mean student baseline h a z a r d f u n c t i o n in SUR- score on a particular test using this VIVAL ANALYSIS, the SURVIVAL FUNC- method, one would not only analyze the TION obtained for an at-risk individual scores of a sample of students but also take into account whatever information when all COVARIATES are set at zero.
S. biostatistician; values; the radius of each circle would Nicholas E. Day (1939- ), British bio- correspond to values of age, with larger statistician and epidemiologist] circles indicating greater age (see example overleaf). Breslow test a method used in SURVIVAL ANALYSIS to compare the out- b u m p h u n t i n g an examination of the comes of different groups of individuals. distribution of values in a data set to More specifically, it evaluates the equal- identify any SPIKES or MODES; in graphic ity of two or more SURVIVAL FUNCTIONS terms, it is a search for any significant depicting mortality or failure across "bumps" on an otherwise smooth curve.