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An Alternative Item Count Technique in Sensitive Surveys

  • ZAWAR HUSSAIN [1] ; EJAZ ALI SHAH [2] ; JAVID SHABBIR [2]
    1. [1] King Abdulaziz University

      King Abdulaziz University

      Arabia Saudí

    2. [2] Quaid-i-Azam University

      Quaid-i-Azam University

      Pakistán

  • Localización: Revista Colombiana de Estadística, ISSN-e 2389-8976, ISSN 0120-1751, Vol. 35, Nº. 1, 2012, págs. 39-54
  • Idioma: inglés
  • Títulos paralelos:
    • Una técnica alternativa de conteo de ítems en encuestas sensitivas
  • Enlaces
  • Resumen
    • español

      El presente articulo propone una técnica de conteo de items con aplicaciones principalmente en el campo de la salud. Se muestran las ventajas de nuestra propuesta y de otros métodos que sirven con el mismo fin. La técnica de conteo de ítems propuesta (ICT, por su sigla en inglés) tiene la ventaja de que no requiere dos submuestras (como es el caso en el ICT clásico) y no es necesario de encontrar los tamaños de las submuestras óptimos. El ICT propuesto tiene un mejor comportamiento en términos de eficiencia relativa. El método de la técnica de respuesta aleatorizada (RR, por su sigla en inglés) es también comparado con el ICT propuesto y se encuentra que la técnica propuesta se desempeña mejor cuando el número de ítems inocuos es mayor de 3.

    • English

      The present study is basically meant to propose an improved item count technique which will mainly have an impact on sensitive fields such as health care. It is attempted to highlight the scope of the proposal relative to the usual and existing methods serving the same purpose. The proposed improved Item Count Technique (ICT) has the major advantage that it does not require two subsamples (as is the case in usual ICT) and there is no need of finding optimum subsample sizes. The proposed ICT has been observed performing well, as compared to the usual ICT, in terms of relative efficiency. The innovative method of Randomized Response (RR) technique has also been compared with the proposed ICT and it is found that the proposed technique uniformly performs better when the number of innocuous items is greater than 3.

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