Template:Operationalize Dependent Variable(s) - Revision history

MichiGau: /* Operationalize Dependent Variable(s) */

2020-03-20T13:32:44Z

Operationalize Dependent Variable(s)

← Older revision		Revision as of 13:32, 20 March 2020
Line 6:		Line 6:

	Levels of measurement:		Levels of measurement:
			* statistical properties of rating scales
	statistical properties of rating scales
	* nominal scale		* nominal scale
	* ordinal scale		* ordinal scale
Line 16:		Line 15:
	* semantic differential scale		* semantic differential scale
	* Guttman scale		* Guttman scale

	=== Examples ===		=== Examples ===

MichiGau at 09:32, 20 March 2020

2020-03-20T09:32:45Z

← Older revision		Revision as of 09:32, 20 March 2020
Line 1:		Line 1:
	== Operationalize Dependent Variable(s) ==		== Operationalize Dependent Variable(s) ==
	=== Description ===		=== Description ===
			[[File:Theory’s basic constituents and mechanisms.png\|thumb]]
	* Operationalization refers to the process of developing indicators or items for measuring these (abstract) constructs.		* Operationalization refers to the process of developing indicators or items for measuring these (abstract) constructs.
	* Operationalize through levels of measurement (= rating scales: refer to the values that an indicator can take).		* Operationalize through levels of measurement (= rating scales: refer to the values that an indicator can take).

MichiGau: Created page with "== Operationalize Dependent Variable(s) == === Description === * Operationalization refers to the process of developing indicators or items for measuring these (abstract) cons..."

2020-03-20T07:55:47Z

Created page with "== Operationalize Dependent Variable(s) == === Description === * Operationalization refers to the process of developing indicators or items for measuring these (abstract) cons..."

New page

== Operationalize Dependent Variable(s) ==
=== Description ===
* Operationalization refers to the process of developing indicators or items for measuring these (abstract) constructs.
* Operationalize through levels of measurement (= rating scales: refer to the values that an indicator can take).

Levels of measurement:

statistical properties of rating scales
* nominal scale
* ordinal scale
* interval scale
* ratio scale
* binary scale
* Likert scale
* semantic differential scale
* Guttman scale
=== Examples ===

=== Further Readings ===
[1] Bhattacherjee, A. (2012). "Social Science Research: Principles, Methods, and Practices", Textbooks Collection. 3. Available at: https://scholarcommons.usf.edu/oa_textbooks/3

== Create Research Design ==
=== Description ===
==== Survey: ====

collect self-reported data of people
standardized questionnaire or interview

==== Simulation: ====
state a hypothesis
imitate some real process or action to prove your hypothesis
suitable for observing correlation between variables

==== Laboratory Experiment: ====

independent variables are manipulated by the researcher (as treatments)
subjects are randomly assigned to treatment
results of the treatments are observed

==== Field Experiment: ====

conducted in field settings, e.g. real organization
rare, because of the difficulties associated with manipulating treatments and controlling for extraneous effects in a field setting
=== Examples ===

=== Further Readings ===
[1] Myers, M. D. (2009). “Qualitative Research in Business and Management”, SAGE Publications: Auckland, New Zealand.

[2] Bhattacherjee, A. (2012). "Social Science Research: Principles, Methods, and Practices", Textbooks Collection. 3.Available at: https://scholarcommons.usf.edu/oa_textbooks/3