Multiple comparisons

1. Multiple comparisons -- The example -- The null hypothesis -- Variance estimates or mean squares -- The F-ratio -- Decision rules and statistical significance -- Decision errors -- Selecting the most appropriate multiple-comparison test -- Selecting a multiple-comparison test and Type I errors --...

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Bibliographic Details
Main Author: Klockars, Alan J. (Author)
Contributors: Sax, Gilbert -2012
Format: Print Book
Language:English
Published: Newbury Park, Calif. [u.a.] Sage Publ. c 1986
In: Sage University papers / Quantitative applications in the social sciences (61)
Year: 1986
Edition:1. print.
Online Access: Inhaltstext (Verlag)
Availability in Tübingen:Present in Tübingen.
UB: KB 8 E 395
Check availability: HBZ Gateway
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Keywords:
Multiple comparisons (Statistics)
Statistische Methodenlehre
Quantitative Methode
Signifikanz
Vergleich > Sozialwissenschaften
Multipler Mittelwertvergleich

MARC

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505 8 0 |a 1. Multiple comparisons -- The example -- The null hypothesis -- Variance estimates or mean squares -- The F-ratio -- Decision rules and statistical significance -- Decision errors -- Selecting the most appropriate multiple-comparison test -- Selecting a multiple-comparison test and Type I errors -- Definitions and meanings of Type I errors in multiple-comparison tests -- Types of multiple comparisons -- Test statistics -- 2. Priori comparisons -- Orthogonal comparisons -- Characteristics of orthogonal comparisons -- Decision rule for evaluating orthogonal comparisons -- Strategies for developing sets of orthogonal comparisons -- Protection levels for orthogonal comparisons -- Orthogonal polynomials -- Nonorthogonal comparisons -- Summary and recommendations -- 3. Post hoc comparisons: pairwise methods -- Rationale for range tests -- Sampling distribution of ranges -- Tukey's honestly significant difference test (HSD) -- Newman-Keuls test -- Tukey's wholly significant difference test (WSD) -- The Duncan Test -- Lease significant difference test (LSD) -- Pairwise comparisons and Type I error -- Comparisons of pairwise methods -- Dunnett's test -- 4. Post Hoc comparisons: The Scheffé Test -- Controls for reducing Type I errors in post hoc comparisons -- Conducting the Scheffé test -- Characteristics of the Scheffé test -- 5. Multiple comparisons in factorial designs -- Familywise Type I error -- A nonquantitative approach for examining interactions -- Simple Main effects -- Multiple comparisons on interactions -- Range tests and interactions -- Planned comparisons and interaction effects -- 6. Additional considerations -- Unequal sample sizes -- Violations of assumptions -- Concluding remarks. 
520 |a 1. Multiple comparisons -- The example -- The null hypothesis -- Variance estimates or mean squares -- The F-ratio -- Decision rules and statistical significance -- Decision errors -- Selecting the most appropriate multiple-comparison test -- Selecting a multiple-comparison test and Type I errors -- Definitions and meanings of Type I errors in multiple-comparison tests -- Types of multiple comparisons -- Test statistics -- 2. Priori comparisons -- Orthogonal comparisons -- Characteristics of orthogonal comparisons -- Decision rule for evaluating orthogonal comparisons -- Strategies for developing sets of orthogonal comparisons -- Protection levels for orthogonal comparisons -- Orthogonal polynomials -- Nonorthogonal comparisons -- Summary and recommendations -- 3. Post hoc comparisons: pairwise methods -- Rationale for range tests -- Sampling distribution of ranges -- Tukey's honestly significant difference test (HSD) -- Newman-Keuls test -- Tukey's wholly significant difference test (WSD) -- The Duncan Test -- Lease significant difference test (LSD) -- Pairwise comparisons and Type I error -- Comparisons of pairwise methods -- Dunnett's test -- 4. Post Hoc comparisons: The Scheff(c)♭ Test -- Controls for reducing Type I errors in post hoc comparisons -- Conducting the Scheff(c)♭ test -- Characteristics of the Scheff(c)♭ test -- 5. Multiple comparisons in factorial designs -- Familywise Type I error -- A nonquantitative approach for examining interactions -- Simple Main effects -- Multiple comparisons on interactions -- Range tests and interactions -- Planned comparisons and interaction effects -- 6. Additional considerations -- Unequal sample sizes -- Violations of assumptions -- Concluding remarks 
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