The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

qsort

Overview

qsort is a package that allows scoring Q-sort data, using criteria sorts and derived scales from subsets of items. This package includes descriptions and scoring procedures for four different Q-sets:

Attachment Q-set (version 3.0) (Waters, 1995);
California Child Q-set (Block & Block, 1969);
Maternal Behaviour Q-set (version 3.1) (Pederson et al., 1999);
Preschool Q-set (Baumrind, 1968 revised by Wanda Bronson).

qsort package includes 7 objects:

qsort_score() a function for scoring Q-sort data;
ex_qsort a list containing four example data frames for the referred Q-sets;
print_cards() a function for printing Q-set item cards.
qset_aqs a data frame containing the Attachment Q-set (aqs; version 3.0);
qset_ccq a data frame containing the California Child Q-set (ccq);
qset_mbqs a data frame containing the Maternal Behaviour Q-set (mbqs; version 3.1);
qset_pq a data frame containing the Preschool Q-set (pq);

Read the documentation (with ?qset_aqs, ?qset_ccq, ?qset_mbqs and ?qset_pq) to learn more about which criteria sorts and scales are included for each Q-set. Or click the R documentation badge at the top of this page.

Installation

To install qsort package from CRAN:

install.packages("qsort")

The qsort package can also be installed from GitHub:

# to install packages from github you first need to install devtools package from CRAN.
# if you haven't installed devtools already just type:
install.packages("devtools")

# to install qsort from github type:
devtools::install_github("joaordaniel/qsort")

Example

The example bellow shows how to use qsort_score() function to compute scores from California Child Q-sort data, present in ex_qsort datasets (ex_qsort$ccq).

library(qsort)
data_ccq <- qsort_score(ex_qsort$ccq, qset_ccq, qsort_length = 100, item1 = "ccq1", subj_id = "participant", group_id = "classroom")
data_ccq

##    participant classroom scomp_c sest_c egores_c egocont_c sdes_c
## 1            1         1  -0.074 -0.093   -0.145    -0.012 -0.137
## 2            2         1  -0.023  0.008    0.090     0.157  0.053
## 3            3         1   0.092  0.086    0.112    -0.021  0.132
## 4            4         1  -0.105 -0.113   -0.182    -0.128 -0.160
## 5            5         1  -0.010 -0.039   -0.092    -0.092 -0.053
## 6            6         2  -0.104 -0.079   -0.042     0.156 -0.089
## 7            7         2   0.051  0.079    0.168     0.169  0.124
## 8            8         2   0.049  0.066    0.153     0.185  0.118
## 9            9         2  -0.024 -0.007    0.009    -0.026  0.007
## 10          10         2  -0.039 -0.046   -0.033     0.098 -0.042
##    partial_scomp_c partial_sest_c partial_egores_c partial_egocont_c
## 1            0.113          0.047           -0.054            -0.007
## 2           -0.160         -0.073            0.086             0.155
## 3           -0.061         -0.053           -0.002            -0.026
## 4            0.088          0.047           -0.089            -0.123
## 5            0.085          0.012           -0.090            -0.090
## 6           -0.054         -0.004            0.068             0.160
## 7           -0.139         -0.053            0.121             0.166
## 8           -0.130         -0.068            0.101             0.182
## 9           -0.069         -0.026            0.004            -0.026
## 10          -0.003         -0.019            0.005             0.100
##    shields_s_emreg
## 1              4.3
## 2              5.9
## 3              5.1
## 4              3.7
## 5              4.4
## 6              5.7
## 7              5.9
## 8              5.9
## 9              5.0
## 10             5.2

Read qsort_score help file (?qsort_score) to learn more about the function’s four arguments, and qset_ccq help file (?qset_ccq) to learn more about variables’ names.

Print cards

To print item descriptions in separate cards use print_cards() function. The example bellow uses the print_cards() function to create a pdf file with Attachment Q-set items, in a user defined directory (working directory in this case - getwd()) .

library(qsort)
print_cards(qset_aqs, desc_col = "description", dir.print = getwd())

Read print_cards() help file (?print_cards) to learn more about the function’s two arguments.

Contributing

Contribution guidelines for this project

References

Baumrind, D. (1968). Manual for the Preschool Behaviour Q-set. Parental Research Project. Berkeley, CA: Institute of Human Development.

Block, J. H., & Block, J. (1969). The California Child Q-Set. Berkeley, CA: Institute of Human Development, University of California.

Pederson, D. R., Moran, G., & Bento, S. (1999). Maternal Behaviour Q-sort (version 3.1). London, ON: Psychology Department, Western University.

Waters, E. (1995). Appendix A: The attachment Q-set (Version 3.0). Monographs of the Society for Research in Child Development, 60, 234-246.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.