datasets {Crosstabs.Loglinear}

datasets

Description

A list with example data that were used in textbook presentations of categorical data analyses

Usage

data(datasets)

Details

A list with example data that were used in the following textbook presentations of categorical data analyses:

datasets$Agresti_2019_Tab9.3 is tabled data from Agresti (2019, p. 346).

datasets$Agresti_2019_Tab9.8 is tabled data from Agresti (2019, p. 351).

datasets$Ajzen_2021_Tab7.11 is tabled data from Ajzen and Walker (2021, p. 178).

datasets$Ajzen_2021_Tab7.16 is tabled data from Ajzen (2021, p. 180).

datasets$Field_2018 is tabled data from Field (2018, Output 18.5 and Output 18.6).

datasets$Field_2018_raw is raw data that simulates those from Field (2018, Output 18.5 and Output 18.6).

datasets$George_2019_26_Hierarchical is tabled data from George (2019, pp. 346-347).

datasets$Gray_2012_2wqy is tabled data from Gray and Kinnear (2012, p. 538).

datasets$Gray_2012_3wqy is tabled data from Gray and Kinnear (2012, p. 551).

datasets$Green_2014 is tabled data from Green and Salkind (2014, p. 334).

datasets$Ho_2014 is tabled data from Ho (2014, p. 513).

datasets$Howell_2013 is tabled data from Howell (2013, p. 150).

datasets$Howell_2017 is tabled data from Howell (2019, p. 512).

datasets$Meyers_2013 is tabled data from Meyers (2013, p. 693).

datasets$Noursis_2012_marital is tabled data from Noursis (2012a, p. 3).

datasets$Noursis_2012_voting_degree is tabled data from Noursis (2012b, p. 513).

datasets$Noursis_2012_voting_degree_sex is tabled data from Noursis (2012b, p. 527).

datasets$Stevens_2009_HeadStart_1 is tabled data from Stevens (2009, p. 472).

datasets$Stevens_2009_HeadStart_2 is tabled data from Stevens (2009, p. 474).

datasets$Stevens_2009_Inf_Survival is tabled data from Stevens (2009, p. 481).

datasets$TabFid_2019_small is tabled data from Tabachnick and Fidell (2019, p. 677).

datasets$Warner_2020_titanic is tabled data from Warner (2020, p. 525).

datasets$Warner_2020_dog is tabled data from Warner (2020, p. 530).

References

Agresti, A. (2013). Categorical data analysis (3rd ed). Hobokon, NJ: John Wiley & Sons.

Ajzen, R., & Walker, C. M. (2021). Categorical data analysis for the behavioral and social sciences (2nd ed.). New York, NY: Routledge.

Field, A. (2018). Chapter 18: Categorical data. Discovering statistics using SPSS (5th ed.). Los Angeles, CA: Sage.

George, D., & Mallery, P. (2019). Chapter 26: Hierarchical log-linear models. IBM SPSS statistics for Windows, version 25. IBM Corp., Armonk, N.Y., USA.

Gray, C. D., & Kinnear, P. R. (2012). Chapter 14: The analysis of multiway frequency tables. IBM SPSS statistics 19 made simple. Psychology Press.

Green, S. B., Salkind, N. J. (2014). Chapter 41: Two-way contingency table analysis. Using SPSS for Windows and Macintosh: Analyzing and understanding data. New York, NY: Pearson.

Ho, R. (2014). Chapter 19: Nonparametric tests. Handbook of univariate and multivariate data analysis with IBM SPSS. Boca Raton, FL: CRC Press.

Howell, D. C. (2013). Chapter 6: Categorical data and chi-square. Statistical methods for psychology (8th ed.). Belmont, CA: Wadsworth Cengage Learning.

Howell, D. C. (2017). Chapter 19: Chi-square. Fundamental statistics for the behavioral sciences Belmont, CA: Wadsworth Cengage Learning.

Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Chapter 66: Hierarchical loglinear analysis. Performing data analysis using IBM SPSS. Hoboken, NJ: Wiley.

Noursis, M. J. (2012a). Chapter 22: General loglinear analysis. IBM SPSS statistics 19: Statistical procedures companion. Upper Saddle River, NJ: Prentice Hall.

Noursis, M. J. (2012b). Chapter 1: Model selection Loglinear analysis. IBM SPSS Statistics 19: Advanced statistical procedures Companion. Upper Saddle River, NJ: Prentice Hall.

Stevens, J. P. (2009). Chapter 14: Categorical data analysis: The log linear model. Applied multivariate statistics for the social sciences (5th ed.). New York, NY: Routledge.

Tabachnick, B. G., & Fidell, L. S. (2019). Chapter 16: Multiway frequency analysis. Using multivariate statistics. New York, NY: Pearson.

Warner, R. M. (2021). Chapter 17: Chi-square analysis of contingency tables. Applied statistics: Basic bivariate techniques (3rd ed.). Thousand Oaks, CA: SAGE Publications.

Examples

names(datasets)

datasets$Agresti_2019_Tab9.3

datasets$Agresti_2019_Tab9.8

datasets$Ajzen_2021_Tab7.11

datasets$Ajzen_2021_Tab7.16

datasets$Field_2018

head(datasets$Field_2018_raw)

datasets$George_2019_26_Hierarchical

datasets$George_2019_27_Nonhierarchical

datasets$Gray_2012_2way

datasets$Gray_2012_3way

datasets$Green_2014

datasets$Ho_2014

datasets$Howell_2013

datasets$Howell_2017

datasets$Meyers_2013

datasets$Noursis_2012_marital

datasets$Noursis_2012_voting_degree

datasets$Noursis_2012_voting_degree_sex

datasets$Stevens_2009_HeadStart_1

datasets$Stevens_2009_HeadStart_2

datasets$Stevens_2009_Inf_Survival

datasets$TabFid_2019_small

datasets$Warner_2020_titanic

datasets$Warner_2020_dog