Construct stats

Description
To prompt descriptive statistics for the constructs of a grid use the function statsConstructs. The following measures are returned:
 * item name
 * item number
 * number of valid cases
 * mean
 * standard deviation
 * trimmed mean (with trim defaulting to .1)
 * median (standard or interpolated)
 * mad: median absolute deviation (from the median)
 * minimum
 * maximum
 * skew
 * kurtosis
 * standard error

The corresponding function for element statistics is statsElements.

R-Code
> statsConstructs(fbb2003)

Descriptive statistics for constructs

var n mean  sd median trimmed  mad min max range  skew kurtosis   se (1) clever - not bright       1 8 3.75 2.31    4.0    3.75 2.97   1   7     6  0.02    -1.72 0.82 (2) disorganiz - organized   2 8 4.00 1.77    4.5    4.00 2.22   2   6     4 -0.13    -2.05 0.63 (3) listens - doesn't he     3 8 3.50 2.14    3.0    3.50 2.22   1   7     6  0.35    -0.51 0.76 (4) no clear v - clear view  4 8 4.38 1.60    4.0    4.38 1.48   3   7     4  0.38    -1.27 0.56 (5) understand - no underst  5 8 3.50 1.85    2.5    3.50 0.74   2   6     4  0.41    -1.88 0.65 (6) ambitious - no ambitio   6 8 4.50 1.51    4.5    4.50 2.22   3   7     4  0.33    -1.00 0.53 (7) respected - not respec   7 8 3.25 1.75    3.0    3.25 1.48   1   6     5  0.23    -1.26 0.62 (8) distant - warm           8 8 4.12 1.96    4.0    4.12 1.48   1   7     6 -0.05    -0.67 0.69 (9) rather agg - not aggres  9 8 3.62 1.92    3.0    3.62 2.22   1   7     6  0.36    -0.09 0.68

You can trim the length of the construct labels if desired. > statsConstructs(fbb2003, trim=10)

Descriptive statistics for constructs

var n mean  sd median trimmed  mad min max range  skew kurtosis   se (1) cleve - not b   1 8 3.75 2.31    4.0    3.75 2.97   1   7     6  0.02    -1.72 0.82 (2) disor - organ  2 8 4.00 1.77    4.5    4.00 2.22   2   6     4 -0.13    -2.05 0.63 (3) liste - doesn  3 8 3.50 2.14    3.0    3.50 2.22   1   7     6  0.35    -0.51 0.76 (4) no cl - clear  4 8 4.38 1.60    4.0    4.38 1.48   3   7     4  0.38    -1.27 0.56 (5) under - no un  5 8 3.50 1.85    2.5    3.50 0.74   2   6     4  0.41    -1.88 0.65 (6) ambit - no am  6 8 4.50 1.51    4.5    4.50 2.22   3   7     4  0.33    -1.00 0.53 (7) respe - not r  7 8 3.25 1.75    3.0    3.25 1.48   1   6     5  0.23    -1.26 0.62 (8) dista - warm   8 8 4.12 1.96    4.0    4.12 1.48   1   7     6 -0.05    -0.67 0.69 (9) rathe - not a  9 8 3.62 1.92    3.0    3.62 2.22   1   7     6  0.36    -0.09 0.68

And remove the index number for the constructs.

> statsConstructs(fbb2003, index=F)

Descriptive statistics for constructs

var n mean  sd median trimmed  mad min max range  skew kurtosis   se clever - not bright       1 8 3.75 2.31    4.0    3.75 2.97   1   7     6  0.02    -1.72 0.82 disorganiz - organized   2 8 4.00 1.77    4.5    4.00 2.22   2   6     4 -0.13    -2.05 0.63 listens - doesn't he     3 8 3.50 2.14    3.0    3.50 2.22   1   7     6  0.35    -0.51 0.76 no clear v - clear view  4 8 4.38 1.60    4.0    4.38 1.48   3   7     4  0.38    -1.27 0.56 understand - no underst  5 8 3.50 1.85    2.5    3.50 0.74   2   6     4  0.41    -1.88 0.65 ambitious - no ambitio   6 8 4.50 1.51    4.5    4.50 2.22   3   7     4  0.33    -1.00 0.53 respected - not respec   7 8 3.25 1.75    3.0    3.25 1.48   1   6     5  0.23    -1.26 0.62 distant - warm           8 8 4.12 1.96    4.0    4.12 1.48   1   7     6 -0.05    -0.67 0.69 rather agg - not aggres  9 8 3.62 1.92    3.0    3.62 2.22   1   7     6  0.36    -0.09 0.68

In case the results are needed for further processing, the printing to the console can be surpressed with output=0. The results are saved in the object d. > d <- statsConstructs(fbb2003, output=0) > d                           var n mean   sd median trimmed  mad min max range  skew kurtosis   se (1) clever - not bright       1 8 3.75 2.31    4.0    3.75 2.97   1   7     6  0.02    -1.72 0.82 (2) disorganiz - organized   2 8 4.00 1.77    4.5    4.00 2.22   2   6     4 -0.13    -2.05 0.63 (3) listens - doesn't he     3 8 3.50 2.14    3.0    3.50 2.22   1   7     6  0.35    -0.51 0.76 (4) no clear v - clear view  4 8 4.38 1.60    4.0    4.38 1.48   3   7     4  0.38    -1.27 0.56 (5) understand - no underst  5 8 3.50 1.85    2.5    3.50 0.74   2   6     4  0.41    -1.88 0.65 (6) ambitious - no ambitio   6 8 4.50 1.51    4.5    4.50 2.22   3   7     4  0.33    -1.00 0.53 (7) respected - not respec   7 8 3.25 1.75    3.0    3.25 1.48   1   6     5  0.23    -1.26 0.62 (8) distant - warm           8 8 4.12 1.96    4.0    4.12 1.48   1   7     6 -0.05    -0.67 0.69 (9) rather agg - not aggres  9 8 3.62 1.92    3.0    3.62 2.22   1   7     6  0.36    -0.09 0.68