1 / 6

Methods (1)

Methods (1) Sample section : Describe the procedure for selecting units (such as subjects and records) for the study and ensure that it is appropriate. State which sampling method you used and why. Describe the population and sampling frames.

lkendall
Download Presentation

Methods (1)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Methods (1) Sample section: Describe the procedure for selecting units (such as subjects and records) for the study and ensure that it is appropriate. State which sampling method you used and why. Describe the population and sampling frames. Ex) Was random sampling used? If not, what kind of sampling did we use. Also, was random assignment used?

  2. Methods (2) • Sampling description: Describe the sample accurately and ensure that it is appropriate. • For our study: • How many • Gender • How many in each condition • Mean age • Mean year at university • Faculty breakdown • Percentage taken, not taken women's studies course. • Percentage who have talked about gender/women's issues with their families in the last week. • Percentage who have talked about gender/women's issues with friends in the last week. • Percentage who indicate their mother is a feminist. • Percentage who indicate their best friend is a feminist. • Percentage who indicate they are a feminist(break this down into males/females)

  3. Methods (3) External validity considerations: Consider generalizability from the sample to the sampling frame and population. Measurement Section: Describe each outcome measurement construct and briefly describe the measure. Ex) This is the semantic differential scales and how they were the rated (between -2 and +2). Construction of measures: Clearly worded questionnaires, tests, and interviews. For scales, you must describe briefly which scaling procedures you used and how you implemented it. Ex) Sixty-three bipolar (semantic opposite) adjective pairs were selected as semantic differential scales. The items were counter balanced to reduce item ordered effects. Subjects used a 5-point scale to indicate their responses for each semantic differential item.

  4. Methods (4) Independent variable: (experimental conditions) Dependent measures: The 61 semantic differential scales were subjected to a factor analysis in order to extract the basic Semantic dimensions (Evaluative, Expressive, Sexuality, Potency). Reliability and validity: You must address both reliability and validity of all of your measures. For reliability, you must specify what estimation procedures you used (we will get to this). For validity, you must explain how you assessed construct validity. Reliability:Two scales. Hard/soft and kind/cruel, were repeated as reliability checks and the second occurrence of the scale was omitted in the data reduction.

  5. Methods (5) Design: Clearly present the design in both notional and text form. Ensure that the design is appropriate for the problem and addresses the hypothesis. Internal Validity: Discuss threats to internal validity and how they are addressed by the design. Also consider any threats to internal validity that are not well controlled.

  6. Methods (6) Description of procedures: Include an overview of how the study will be conducted. Describe the sequence of events and ensure that is is appropriate to the design. Include sufficient information so that the essential features of the study could be replicated by a reader. This should include: Giving the questionnaire (five point scale) Factor analysis Summing the scales(dependent variable) Performing the univariate analysis of variance (AVOVA)

More Related