e-book Statistical Principles and Techniques in Scientific and Social Research

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Hence, race of interviewer has been shown to affect responses to measures regarding racial attitudes, [14] interviewer sex responses to questions involving gender issues, [15] and interviewer BMI answers to eating and dieting-related questions. The explanation typically provided for interviewer effects is social desirability bias : survey participants may attempt to project a positive self-image in an effort to conform to the norms they attribute to the interviewer asking questions.

Interviewer effects are one example survey response effects. From Wikipedia, the free encyclopedia. For the Statistics Canada publication, see Survey Methodology. Main article: Survey sampling. Main article: Survey data collection. Statistics portal. Survey Methodology.

Psychological Research: Crash Course Psychology #2

Research methods in psychology 9th ed. Chapter 9: Surveys. Mellenbergh Eds. Hand , Advising on Research Methods: A consultant's companion pp.

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Kwantitatieve Methoden , 22, 41— Proceedings of the Section on Survey Research Methods. American Statistical Association: — Retrieved April 7, E American Sociological Review. International Journal of Public Opinion Research. Public Opinion Quarterly. Evidence from a national Dutch face-to-face survey and a postal follow-up". International Journal of Public Health. Social survey research.

Categorical data Contingency table Level of measurement Descriptive statistics Exploratory data analysis Multivariate statistics Psychometrics Statistical inference Statistical models Graphical Log-linear Structural. Audience measurement Demography Market research Opinion poll Public opinion. Outline Index.

Descriptive statistics. Mean arithmetic geometric harmonic Median Mode. Central limit theorem Moments Skewness Kurtosis L-moments. Index of dispersion. Grouped data Frequency distribution Contingency table. Pearson product-moment correlation Rank correlation Spearman's rho Kendall's tau Partial correlation Scatter plot.

Data collection. Sampling stratified cluster Standard error Opinion poll Questionnaire. Scientific control Randomized experiment Randomized controlled trial Random assignment Blocking Interaction Factorial experiment. Adaptive clinical trial Up-and-Down Designs Stochastic approximation. Cross-sectional study Cohort study Natural experiment Quasi-experiment.

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Statistical inference. Z -test normal Student's t -test F -test. Bayesian probability prior posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator. Correlation Regression analysis. Pearson product-moment Partial correlation Confounding variable Coefficient of determination. Simple linear regression Ordinary least squares General linear model Bayesian regression. Regression Manova Principal components Canonical correlation Discriminant analysis Cluster analysis Classification Structural equation model Factor analysis Multivariate distributions Elliptical distributions Normal.

Spectral density estimation Fourier analysis Wavelet Whittle likelihood. Nelson—Aalen estimator. Log-rank test. Cartography Environmental statistics Geographic information system Geostatistics Kriging. Category Portal Commons WikiProject. Qualitative forecasting methods. Executive opinions Delphi method Sales force polling Consumer surveys.

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Published in: Science. Full Name Comment goes here. Are you sure you want to Yes No. Browse by Genre Available eBooks How can I improve my memory recall? Show More. No Downloads. Views Total views. Actions Shares. Embeds 0 No embeds. No notes for slide. Role of Statistics in Scientific Research 1.

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Questions Contd. What is Statistics? Dodge, Y. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and are then used to draw inferences about the process or population being studied; this is called inferential statistics.

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  7. Why Study Statistics? What is the importance of statistics in scientific research? For example statistics can used as in data collection, analysis, interpretation, explanation and presentation. Use of statistics will guide researchers in research for proper characterization, summarization, presentation and interpretation of the result of research. What is the role of statistics in scientific research? Describe the importance of statistics in different fields of study. Statistics has important role in determining the existing position of per capita income, unemployment, population growth rate, housing, schooling medical facilities etc…in a country.

    Now statistics holds a central position in almost every field like Industry, Commerce, Trade, Physics, Chemistry, Economics, Mathematics, Biology, Botany, Psychology, Astronomy, Information Technology etc…, so application of statistics is very wide. Specialties have evolved to apply statistical theory and methods to various disciplines.

    So there are different fields of application of statistics. Some of those are described below. Weather, climate, air and water quality are included, as are studies of plant and animal populations. What are the statistical terms used in research studies? What are the misuses of statistics in a research?

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