Processdata and Achievement Levels. Country comparisons. No gender.

Collapsing the lowest two levels

We use four achievement levels here, corresponding to benchmarks: 475, 550, 625. Also, we calculate the mnx as mean of the time spent per item. Here is the sample size of each level in each country.

Outcome “_S”

Here we calculate sum scores across all relevant items.

LIT vs INF items

We have 176 INF items and 172 LIT items.

MC vs CR items

We have 179 MC items and 169 CR items.

The processes

We have 92 Focus items, 105 II items, 110 SI items, and 41 EC items.

An individual item : RE51R01

We have 1 items, with 340, 308, 390, 380 observations.

Outcome “_F”

Here we calculate sum scores across all relevant items.

LIT vs INF items

We have 176 INF items and 172 LIT items.

MC vs CR items

We have 179 MC items and 169 CR items.

The processes

We have 92 Focus items, 105 II items, 110 SI items, and 41 EC items.

An individual item : RE51R01

We have 1 items, with 340, 308, 390, 380 observations.

Gender differences

Total Test duration

We add all _S items to get test minutes of duration. Note that we use TOTWGT when testing.

CNTRY	Male	Female	t_stat
DEN	38.18	35.39	5.45
FIN	35.69	33.10	6.75
NOR	36.36	34.84	3.23
SWE	40.08	38.00	4.22

Outcome _S

INF vs LIT

# A tibble: 8 × 6
  CNTRY Type   Male Female t_stat p_value
  <chr> <chr> <dbl>  <dbl>  <dbl>   <dbl>
1 DEN   INF    92.4   82.5   6.9     0   
2 DEN   LIT    77.8   72.9   3.85    0   
3 FIN   INF    83.1   76.9   6.22    0   
4 FIN   LIT    73.6   68.3   6.02    0   
5 NOR   INF    86.3   81.4   3.82    0   
6 NOR   LIT    72.8   71.0   1.67    0.09
7 SWE   INF    95.1   88.3   5.14    0   
8 SWE   LIT    80.8   77.9   2.51    0.01